DASware_design_User Manual DASware Design User
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User Manual 
www DASGIP com 
DASware® design 

User Manual DASware® design 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 
Publisher DASGIP Information and Process Technology GmbH  
Rudolf-Schulten-Straße 5 
52428 Jülich, Germany 
Tel: +49 (0)2461 / 980-0 
Fax: +49 (0)2461 / 980-100 
www.dasgip.com 
E-mail: service@dasgip.de 
Version Dezember 2012, 1.0 
Copyright   Copyright  © 2012 DASGIP Information and Process Technology 
 GmbH, Jülich 
No part of this publication may be reproduced without the prior 
permission of the copyright owner. 
Mention of third-party products is for informational purposes only 
and constitutes neither an endorsement nor a recommendation. 
DASGIP Information and Process Technology GmbH assumes no 
responsibility with regard to the performance or use of these 
products. All understandings, agreements, or warranties, if any, 
take place directly between the vendors and the prospective users. 
Every effort has been made to ensure that the information in this 
manual is accurate. DASGIP Information and Process Technology 
GmbH is not responsible for printing or clerical errors. 
Trademarks are not marked in all cases with ™ or ® in this manual. 

 User Manual DASware® design 
 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany

User Manual DASware® design 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 
Table of Contents 
 DASware® Solutions  5 1.
1.1. DASware® access  6 
1.2. DASware® analyze  7 
1.3. DASware® connect  8 
1.4. DASware® design  9 
1.5. DASware® discover  10 
1.6. DASware® migrate 11 
 Introduction 13 2.
 DASware® design 19 3.
3.1. DoE Builder 20 
 Selecting or Entering Factors 22 3.1.1.
 Selecting Resources  22 3.1.2.
 Saving DoE Settings 24 3.1.3.
 Create Workflows 25 3.1.4.
3.2. Recipe Editor 27 
 Open  27 3.2.1.
 Overview 27 3.2.2.
3.3. Starting a Workflow [Run] 29 
3.4. Process Implementation 30 
3.5. DASGIP Information Manager 31 
3.6. DASGIP Documentation Wizard 35 
 Application Example 36 4.
4.1. Full Factorial DoE with Three Factors and Two Levels 36 
 Implementation without External DoE Software Tools 38 4.1.1.
 Use of External DoE Tools (JMP) 41 4.1.2.
 Index 49 

 User Manual DASware® design
 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany

User Manual DASware® design   DASware® Solutions 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 5
Increasing process complexity coupled with rising cost pressures and rapidly evolving 
regulatory requirements make today’s process development efforts a special challenge. The 
pressure of achieving faster time to market for new and innovative biopharmaceuticals had 
led to the need to optimize every element of the total development workflow. 
DASGIP 
DASware
 was designed as a suite of smart and flexible software solutions to 
accelerate bioprocess development. It enables interconnectivity of bioreactors with external 
labdevices, comprehensive data-  and information management, factorial design of 
experiment and remote control of bioprocesses. 
DASware
 can be used with the 
DASGIP 
Parallel Bioreactor System 
for benchtop applications in microbiology and cell culture as well 
as with legacy benchtop bioreactor controllers. 
In the past, bioreactor processing, recipe management, process and product analysis, data 
generation, data mining and storage were poorly interconnected thus requiring time-intensive 
manual work. 
DASware
 supports interconnectivity combined with sophisticated bioprocess 
information management. The utilization of 
DASware
 enables streamlined process 
development at benchtop scale in accordance with QbD standards.  
DASware
 consists of… 
- for remote monitoring and control of bioprocesses 
- for integration of lab devices with 
DASGIP Parallel Bioreactor Systems
- which facilitates a seamless interaction with legacy Corporate 
Historians and Process Control Systems 
- to apply the Design of Experiments concept 
- a comprehensive and user-friendly data mining and information 
management solution for bioprocessing 
- to use all 
DASware 
solutions with legacy benchtop bioreactor control 
units 
DASware® Solutions 1.

DASware® Solutions User Manual DASware® design
6 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
1.1. DASWARE® ACCESS 
DASware access
 provides an unprecedented level of freedom and flexibility in the 
management of bioprocesses. Each 
DASGIP Control System
 on-site is accessible remotely by 
one or more remote clients simultaneously. Depending on the user-defined configuration and 
associated authentication either monitor or monitor and control access can be enabled for any 
network or mobile client.  
Wi-Fi, Intranet, VPN and 4G connections can be used to provide web based access with 
almost every browser to one or more bioreactor systems via PC, Notebook or Netbook. The 
unique 
DASGIP iApp
 supports access from iPhone, iPod touch and iPad, optionally with 
webcam support.  
DASware access 
DASGIP iApp

User Manual DASware® design   DASware® Solutions 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 7
1.2. DASWARE® ANALYZE 
DASware analyze
 was designed for seamless integration of sampling and analytical laboratory 
devices to the bioreactor system. A broad and growing range of analyzers can be integrated, 
among them nutrient analyzers, cell counter (YSI Life Science, Nova Biomedical), automation 
platform and autosampler (Bayer Technology and Services) biomass monitors (Aber 
Instruments), HPLC (Waters, Shimadzu) and mass spectrometers (Thermo Scientific).  
The OPC network protocol allows for interconnectivity between the bioreactor system and the 
analyzer, including the possibility of direct feedback from the bioreactor system according to 
online measured analytical data. This facilitates feedback control loops for e.g.  nutrients, 
biomass or product concentrations. Online calculations as well as event and data-driven 
decisions are supported. The unique bidirectional OPC communication, available for 
supporting devices enables sampling on demand and process dependent analyzer panel 
selection.  
DASGIP Control 
Third Party Analytical Devices
 Nutrient Analyzer
 Cell Counter 
 HPLC 
 Mass Spectrometer 
 Gas Chromatograph 
 Autosampler 
 Etc.

DASware® Solutions User Manual DASware® design
8 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
1.3. DASWARE® CONNECT 
DASware connect
 was designed to integrate DASGIP’s Parallel Bioreactor Systems and 3rd 
party bioreactor controllers into process control systems and legacy corporate historians. This 
includes but is not limited to Emerson DeltaV®, Siemens SIMATIC PCS 7, ABB 800 xA, OSIsoft 
PI System® and Matrikon OPC Historian. 
DASware connect
 facilitates company-wide access to 
all relevant bioprocess data like set-points, process values, feed-profiles, calibration and 
controller parameters as well as events and alarms. 
DASGIP Parallel Bioreactor Systems 
ABB DeltaV 
Matrikon 
OSIsoft 
Pi System Siemens 
Supervisory Control Systems 
and Historians 

User Manual DASware® design   DASware® Solutions 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 9
1.4. DASWARE® DESIGN 
DASGIP’s bioreactor systems serve as an ideal platform to carry out DoE on bioreactors in 
parallel. 
DASware
 design automatically compiles DoE information from 3rd party DoE tools 
into recipes and feeds-back response information into DoE and multivariate analysis and 
reporting tools. 
DASware design
 comes with a Full Factorial DoE builder. Alternatively, a large variety of DoE 
designs for screening, process development and optimization can be automatically imported 
from most powerful 3rd party DoE tools like JMP and others. Parallel recipes incorporating the 
DoE factor variations (i.e. pH, DO, T set points or feed rates) are automatically populated. 
Following DASGIP’s Point-Click-Grow concept, they can be carried out on a set of bioreactors 
with a single mouse-click. DoE response information is collected and prepared for an 
automated export. 
Individual Recipes 
Export 
Informations-
management 
Prozess 
Informationen 
Parallele(s) 
Bioreaktor System(e) 
Design 
Durchführung 
Analyse 
Resourcen Mapping 
DoE Builder Recipe 
l  

DASware® Solutions User Manual DASware design
10 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
1.5. DASWARE® DISCOVER 
DASware discover helps you to structure efficiently the assortment of process information like 
o Process values  
o Process events  
o Recipes  
o Biological,  
o Chemical and 
o Analytical information 
Use this intuitive database query tool to initiate real-time retrievals and run-to-run com-
parisons. All critical process information is clearly listed as table and can be configured. In 
addition, you can easily generate charts in Microsoft Excel®  using 
DASGIP Documentation 
Wizard
. 

User Manual DASware design   DASware® Solutions 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 11
1.6. DASWARE® MIGRATE 
A significant installed base of ageing bioreactor controllers offers rudimentary cultivation 
control capabilities. However, recent advances such as bioprocess data management, 
analytical device integration, DoE support and remote control, available from DASware 
solutions, are often missing. Now users of 3rd party bioreactor controllers can also benefit 
from DASGIP’s intelligent software solutions.  
DASware migrate
 integrates most common 3rd party bioreactor control units and systems (e.g. 
Satorius Stedim Biotech & Applikon) as well as DASGIP modules into legacy bioreactor 
controllers (e.g. Off-gas analyzer GA4, Gas-mixing station MX4/4, Mulitipump MP8 ). 
DASware migrate
 enables 
o Access to the complete DASware solution suite  
o Sharing recipes between different bioreactor controllers 
o Powerful Microsoft Excel® reporting 
o Comprehensive information management and process data historian 
o Analytical lab device integration  
o DoE and remote control 
Bioprocess Control Systems 
DASGIP Control 

DASware® Solutions User Manual DASware design
12 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany

User Manual DASware design   Introduction 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 13
In current bioprocessing technologies, process-oriented criteria are playing an increasingly 
important role in the assessment of product quality. Quality by Design (QbD) is a concept that 
was highlighted, among others, in an FDA guideline on process validation (General Principles 
and Practices, FDA, January 2011). It states the need for monitoring procedures already at the 
development stage in order to achieve a controlled process and to ensure a defined product 
quality.  
This chapter outlines the concepts of design space, design of experiments (DoE) and DoE 
fields of application. This is followed by a brief overview of the parallel bioreactor system 
DASbox
 and 
DASware design
 itself, including a schematic process flow. 
Design space 
In general, different process settings can be used to achieve good product results. This 
multidimensional space which is defined by the factors and the corresponding levels is 
referred to as design space (Fig 1). Within this space, the required quality of the product is 
guaranteed.  
The identification of a suitable design space requires a variety of implementations. Design of 
experiments (DOE) can be helpful to reduce the extent of required testing – the total number 
of individual experiments. 
Introduction 2.
Fig 1: Design space with 3 factors in 2 levels 
Design space 

Introduction User Manual DASware design
14 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
Design of experiments (DoE) 
DoE (Fig.  2) is often used to reduce the number of process runs necessary to determine a 
suitable design space (Fig 1) for the manufacture of a product. The amount of time saved by 
using a multifactorial DoE approach, compared to the classical variation of individual 
parameters (one factor at a time), significantly reduces the development overhead and helps 
to shorten development times.  
The advantages of DoE include: 
o Fewer individual experiments required. 
o Main effects and interactions are recorded. 
o Effects of main factors can be quantified and statistically evaluated. 
o Process knowledge is improved, allowing the development of more efficient procedures. 
o The description of functional process connections facilitates the definition of a mathema-
tical model and thus the design space (Fig 1). 
The following points are to be noted regarding DoE-based process development: 
o The factors which have an influence on the target value(s) must be identified. 
o The process settings must be varied meaningfully, e.g., within the physiologically 
acceptable temperature or pH range of the used microorganisms/cells. 
o Discrete factor values can be selected using prior knowledge or previous examinations. 
Fig. 2: DoE scheme 
Factor X1 
Factor X2 
Factor Xn 
Process 
Input 
variable 
Determine 
output 
Target value(s) 
Y1, Y2, Yn  

User Manual DASware design   Introduction 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 15
DoE Fields of Application 
A  DoE is used, for example, in the process development of biopharmaceuticals, such as 
vaccines. Equally suitable is the production of biochemicals such as bioethanol or also 
foodstuffs such as lactic acid. Individual fields of application for optimization are screening, 
strain or cell line characterization as well as process development itself. The following figure 
(Fig. 3) provides a schematic overview of the DoE fields of application. 
Since DoE minimizes the number of process runs and optimizes the acquisition of knowledge, 
a number of software products for DoE is available in the market. The following is a list of 
some well-known products: 
o JMP® 
o Design Expert® 
o Minitab™ 
o MODDE®  
Fig. 3: DoE fields of application  

Introduction User Manual DASware design
16 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
System Platform for DoE 
Since in the field of bioprocess applications typical designs of experiments can be carried out 
at the same time using a number of bioreactors, a parallel system is perfectly suited to 
support the principle of DoE. 
DASGIP Parallel Bioreactor Systems
 ensure defined and controlled process conditions to 
facilitate both the screening of bacteria or cell cultures and the optimization of media or 
substrate quantities on a small scale. For example, the easily extendable modular 
DASbox
System (four mini bioreactors per unit) offers controlled and reproducible cultivation results.  
In 
DASGIP Control
 all processes can be precisely defined, optimized and adapted. In addition, 
all results are accurately and precisely documented. 
DASware design 
DASware design
 combines statistical design of experiments (DOE) with parallel bioreactor 
systems, e.g., the 
DASbox
 or other modular parallel bioreactor systems from DASGIP. The 
degree of automation achieved considerably simplifies and shortens the processes. 
Fig. 4: 
DASbox
System with 6 x 4 bioreactor units 

User Manual DASware design   Introduction 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 17
The following is a schematic outline of an experimental sequence (Fig 5). 
o Within 
DASware design
, the DoE Builder facilitates the input  of all DoE-relevant 
parameters. There is also an option to directly integrate files from DoE software tools. 
o Individual recipes can be used and resources can be assigned.  
o A generated workflow can be saved with one click and seamlessly integrated into 
DASGIP 
Control
 via the Recipe Editor. Parallel and controlled process implementation is carried out 
here, if desired, according to a SOP.  
o All process information is automatically saved and can be analyzed and supplemented 
directly in 
DASGIP Control
 using the 
DASGIP Information Manager
.  
o Afterwards, export options allow the process information gained to be traced in the 
statistical analysis software. Improved process knowledge enables the development of 
more efficient procedures. 
Fig 5: Schematic process flow 
Individual recipes 
SOP 
Export 
Information 
management 
Process information 
Parallel bioreactor 
system(s) 
Planning 
Implementation 
Analysis 
Automation 
Automation 
Resource mapping 
DoE  Recipe 
l  

Introduction User Manual DASware design
18 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany

User Manual DASware design   DASware® design 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 19
The configuration, implementation and evaluation of complex experimental designs is a major 
challenge in process development. 
DASware design
 helps implementing such designs by 
seamlessly integrating DoE in 
DASGIP Control
 and using its precise, parallel process 
implementation. 
With DoE the most important process parameters are initially identified to enable optimal 
process settings to be made. These parameters can be easily entered via the DoE Builder in 
DASware design
. All values are then seamlessly transferred to the Recipe Editor, where they 
can be supplemented. After a workflow has been started, the parallel bioreactor processes are 
carried out under approved controlled conditions. Once this is completed, the process results 
are documented and can be easily evaluated using the 
DASGIP Information Manager
. In 
addition, the evaluated data can be reimported into to a standard DoE software tool. 
The following figure summarizes the sequence of a DoE-based process in 
DASGIP Control
using 
DASware design
. It also provides an overview of the structure of this chapter. 
1. DoE Builder (3.1) 
2. Recipe Editor (3.2)  
3. Run workflow (3.3) 
4. Monitoring and control of the cultivation processes in bioreactors (3.4)  
DASware® design 3.
1 
2 
3 
4 

DASware® design User Manual DASware® design
20 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
5. Documentation using the Information Manager (3.5) 
6. Analysis of historical cultivation data for the plausibility check in the 
DASGIP 
Documentation Wizard
 (3.6)  
7. DoE evaluation (4) 
3.1. DOE BUILDER 
The  DoE Builder allows the direct 
selection or input  of all DoE-relevant 
parameters.  
Click on Tools in the 
DASGIP Control
menu bar to open the DoE  Builder by 
clicking on Design of Experiments (DoE).  
5 
0,0
20,0
40,0
60,0
80,0
100,0
120,0
140,0
0:00:00 2:24:00 4:48:00 7:12:00
DO.PV [%DO]
Sync. Inoculation  Time
6 
0
10
20
30
40
50
60
70
-2 -1 0 1 2
OD600 (t1)
Gluc.-conc.
Temp 1
Temp -1
0
10
20
30
40
50
60
70
-2 -1 0 12
OD600 (t1)
Gluc.-conc.
pH 1
pH -1
0
10
20
30
40
50
60
70
-2 -1 0 1 2
OD600 (t1)
pH
Temp 1
Temp -1
7 
Fig. 6:
   Overview of a DoE-based process flow with 
DASware design

User Manual DASware design   DASware® design 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 21
Structure of the DoE Builder:  
Fig. 7: Overview of the DoE Builder 
No.  Control element Description 
1.
 DoE type For selecting a DoE type (e.g., Full Factorial). 
2.
 Number of factors Selects the number of factors 
3.
 Number of responses Selects the number of responses 
4.
 Number of experiments Indicates the number of individual experiments 
5.
 Reset Resets all entries. 
6.  Randomize If you select this checkbox, a random assignment of individual experiments takes 
place to the existing bioreactors. 
7.
 Use repetitions If you select this checkbox, all experiment runs are automatically doubled. 
8.
 Use center points Here you can select the addition of a center point identification per reactor unit. 
9.
 Open Imports DoE data see 4.1.2. 
10.
 Number of systems For selecting the number of available systems see also 3.1.1. 
11.  Block size Indicates the number of bioreactors per unit/block 
12.  Prefix Here you can enter a prefix to be attached to the front of all workflow and setup 
names. 
13.
 Start index Adjusts the numbering start point. 
14.
 Save Saves all entries see 3.1.3. 
15.
 System Limits the selection by system. 
16.
 Template Selects previously created recipe templates. 
17.  Creating workflows Uses the entered DoE data to automatically compile executable workflows for 
DASGIP Control
 see 3.1.4. 
18.
 Name For defining factor and response names. 
19.
 Low / High Level assignment for factors. 
20.  Table The DoE table is automatically adjusted and filled. 
1 
2 
3 
4 
5 
6 
7 
8 
9 
10 
11 
13 
12 
14 
15 
16 
17 
18 
19 
20 

DASware® design User Manual DASware® design
22 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
 Selecting or Entering Factors 3.1.1.
The number of table rows in the lower part of the DoE Builder is adapted to the number of 
factors and the response(s) that were selected.  
Standard factor names that correspond to the 
DASGIP Control
 naming convention can be 
selected in the dropdown menu in the Name column. The EU (unit),  Low and  High (level) 
columns are then automatically filled with default values. You can click on these values and 
adjust them as necessary.  
You can also directly enter new factors which have not yet been stored. 
 Selecting Resources  3.1.2.
The middle part of the DoE Builder allows the selection and assignment of existing resources. 

User Manual DASware design   DASware® design 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 23
Select the number of used systems in the dropdown menu next to Number of systems. If 
several systems exist, you can select which system should be used via System.  
Also select the number of reactors of a system unit next to Block size. 
Enter a prefix to be attached to the front of all workflow and setup entries. 
In the Template dropdown, select previously saved template files that contain all experiment-
relevant parameters (e.g., speed, temperature, feed rate etc.).  
Next to Start index enter the number at which the setup numbering should start. It may be 
useful to adjust this number if, e.g., different systems are used. 

DASware® design User Manual DASware® design
24 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
 Saving DoE Settings 3.1.3.
To save all the settings you have made, click on the Save button. A file manager dialog 
appears in which you can enter a file name and select a storage location. 
Resource Example 
The use of three systems with a block size of four reactors is shown as an example. 
1. 3 is selected for Number of systems and 4 for Block size. To save the settings for the first 
system, number 1 has to be selected for System.  
The saved .doe file can be reimported at the desired process computer in the DoE Builder 
using the   button. 

User Manual DASware design   DASware® design 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 25
2. To save the entries for the second system, number 2 has to be selected for System.  
This ensures that only the data relevant to the second system is saved and can be transferred 
to a process computer. 
3. The procedure with the data for the third system is identical. In this case, number 3 has to 
be selected for System before saving. 
 Create Workflows 3.1.4.
After all DoE parameters have been entered, which are summarized in a table in the lower 
part of the DoE Builder, they are merged into the selected recipe template using the Create 
Workflows button.  

DASware® design User Manual DASware® design
26 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
This ensures that several workflows are automatically created, e.g., if several systems are 
used, or a single system with a low block size is used several times. Each workflow contains a 
set of individual recipes containing the parameter variations of the design. 
All automatically created workflows appear in 
DASGIP Control
 at the left under Editing in the 
Navigation Tree.  
Before carrying out the experiment, it is recommended that you check the individual entries in 
the Recipe Editor (3.2) and complement them as necessary.  
The workflows from the example are divided as follows: 
System 1 
System 2 
System 3 

User Manual DASware design   DASware® design 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 27
3.2. RECIPE EDITOR  
The Recipe Editor provides an intuitive interface representing all parameter variations of all 
setups in a table. In the recipe editor any individual parameter adjustment is possible before 
starting the process. 
 Open 3.2.1.
By right-clicking on the name of the main procedure (Control…), a context menu appears in 
which you can click on Edit in order to open the Recipe Editor of 
DASGIP Control
. 
 Overview 3.2.2.
During  the  experimental setup,  in addition to the preconfigured DoE parameters, other 
process parameters like PID or feed-rates can be adjusted either all descriptive key parameters 
can be entered at this point. This includes details on the used strain, cell line, medium 
composition, temperature etc. The Recipe Editor allows these entries to be made individually 
for each setup/reactor. 

DASware® design User Manual DASware® design
28 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
The appearance of the editor varies depending on the configuration of each 
DASGIP Control 
System
 and according to the defined workflow. The table displayed contains different 
columns and one row for each reactor (setup). 
Comprehensive, detailed information on processes can be especially useful for the individual 
comparison of historical process data. 
Attributes and conditions for individual setups can be easily entered into predefined entry 
fields. The fields which appear depend on the previous configuration in the Workflow Editor 
(for more information see User Manual 
DASware migrate
 2.3.2.).  
Clicking on a single setup cell displays the corresponding buttons (Attributes, Conditions) in 
the right area of the editor. Information can be added here.  
When a workflow has been created from the DoE 
Builder via  Create Workflow and the usual factor 
names (e.g., pH, DO, T etc.) have been selected in 
DASGIP Control
, the Recipe Editor is automatically 
filled with the parameters. 

User Manual DASware design   DASware® design 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 29
3.3. STARTING A WORKFLOW [RUN] 
To start a workflow created in the Workflow Editor, you can either click on Run Workflow 
under File in the menu bar or click directly on the corresponding button in the toolbar. 
The following dialog lists the workflows that have not yet been started under Workflows 
waiting to be started. 
Click on the Run button to continue the process. 

DASware® design User Manual DASware® design
30 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
3.4. PROCESS MONITORING AND CONTROL 
The selected procedures are started depending on workflow.  
After the main procedure has started, the Summary View is displayed. It summarizes all the 
important process operations at a glance. 
A  Summary View is shown below which is based on a DoE experiment setup with varied 
temperature set points (Fig.  8). By clicking on the temperature symbol, the values of the 
temperature controller are displayed on the right side. The diagram in the lower part 
represents the course of the dissolved oxygen (DO) in the medium, in addition to the three 
different temperature set points.  
More information can be found in the 
DASGIP Control
 User Manual. 
After completion of all processes, the process data is saved in 
DASGIP Control
 and can be 
used for further analysis.  
Fig. 8:  Exemplary overview (Summary View) in 
DASGIP Control
; bioreactor processes 
 of a variation of temperature set points  

User Manual DASware design   DASware® design 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 31
3.5. DASGIP INFORMATION MANAGER 
In addition to the automatic documentation of all general process and DoE-relevant data, it is 
also possible to supplement additional user-definable information such as the product yield, 
the maximum density of vital cells (VCD.Max) or general quality data. This information is 
entered in the 
DASGIP Information Manager
. Such data can contain information on the DoE 
responses to be exported in an analysis tool. 
The following figure provides an overview of the 
DASGIP Information Manager
. 
1. Query criteria appear in the column headings. 
2. You can use the buttons to select comparative operators in order to limit a query. 
3. It is possible to subsequently enter values, such as Yield or Quality, that have been 
determined based on process data. (Additional individual columns can be used if they 
were defined before the start of the process. More information can be found in the 
DASGIP Control Manual). 
4. The query results are summarized in table form and can be selected individually. 
5. General data on selected setups or workflows is displayed. 
6. Export options. 
In the 
DASGIP Information Manager
 it is also possible to carry out queries during an ongoing 
experiment. However, note that the current data of this ongoing experiment cannot yet be 
included in the query. This data will only be available after the experiment has been 
completed.  
Fig. 9:  Overview of the 
DASGIP Information Manager

DASware® design User Manual DASware® design
32 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
A query in the 
DASGIP Information Manager
 includes all the experiment runs with the 
corresponding recipes and process data as well as the events and user-specific context 
information. Only the procedure data of calibrations, CIP and Clean is not included. The result 
of a query can then be exported to Microsoft Excel®. 
1. You can either click directly on the Information Management  button  in the taskbar to 
open the 
DASGIP Information Manager
 or call the Tools menu and select the Information 
Management menu item.  
2. When you click on a corresponding cell, general information on a workflow or setup is 
displayed on the right.  
 All entries can be edited, with the exception of the workflow, setup and unit names. 
 Please use this option with caution. 
3. All available query criteria are displayed when you click with the right mouse button on a 
column heading. From the dropdown menu, select the column headings to be displayed. 
This allows the displayed data to be limited as needed and saved. 

User Manual DASware design   DASware® design 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 33
4. You can also directly enter query values below each column heading in the input field or 
select values from the dropdown list which is automatically filled with existing values.  
The additional entries for this process are saved together with the process values and are 
available for additional analysis in each further export.  
5. You can use the button to the left next to each column heading to select relational 
operators for the qualification of a query.  
Example:  You want to select all process data where 
E. coli
 K12  was used and for which a 
product yield of at least 0.2 g/ L was achieved. For this, the two query criteria are entered in 
the corresponding CellLine  and  Product Yield [g/L]
columns.  The table will then list all the 
matching process data.  
The entry of search criteria is not case-sensitive, but spaces are considered.  
With the help of historical data you can, for example, also carry out a plausibility check of 
new process runs using a batch to batch comparison. Selecting actual and historical runs at 
the same time generates a combined report for subsequent independent analysis. 

DASware® design User Manual DASware® design
34 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
Exporting Data 
You can export all query data using the Export Table or Export Report buttons (including all 
process data).  
In addition to Export Folder:, the storage path of the export file is displayed. This can be 
changed using the Folder button in the Browse For Folder dialog window. 
The compiled information that is listed in table form can be exported in various forms: 
 Select Export Table in order to export all DoE-relevant parameters as a .txt file. 
 An exported DoE table is shown below as an example. It is used as a basis for further 
analysis in Microsoft Excel® or special DoE analysis tools, such as JMP. 
 Export Report exports the entire process data, including recipes, process data history and 
 events as a .csv file. This can be opened for further processing, e.g., for diagram creation 
 in the 
DASGIP Documentation Wizard
.  
Reset View resets all query settings.  
Workflow Setup Unit User T [°C] pH [pH]
Gluc.Conc [g/
OD600
Contains Equal Equal Equal Equal Equal Equal Equal
KK107_DASbox_DoE-1-4 KK107_DASbox_DoE-1
Unit 1
Manager
37 6,8 40 45,4
KK107_DASbox_DoE-1-4 KK107_DASbox_DoE-2
Unit 2
Manager
40 7,2 60 46,7
KK107_DASbox_DoE-1-4 KK107_DASbox_DoE-3
Unit 3
Manager
34 7,2 60 65,8
KK107_DASbox_DoE-1-4 KK107_DASbox_DoE-4
Unit 4
Manager
40 7,2 20 23,6
KK107_DASbox_DoE-5-8 KK107_DASbox_DoE-5
Unit 1
Manager
40 6,4 60 67,4
KK107_DASbox_DoE-5-8 KK107_DASbox_DoE-6
Unit 2
Manager
37 6,8 40 47,6
KK107_DASbox_DoE-5-8 KK107_DASbox_DoE-7
Unit 3
Manager
34 7,2 20 25,6
KK107_DASbox_DoE-5-8 KK107_DASbox_DoE-8
Unit 4
Manager
40 6,4 20 26,1
KK107_DASbox_DoE-9-11 KK107_DASbox_DoE-9
Unit 1
Manager
34 6,4 60 56,8
KK107_DASbox_DoE-9-11 KK107_DASbox_DoE-10
Unit 2
Manager
34 6,4 20 33,6
KK107_DASbox_DoE-9-11 KK107_DASbox_DoE-11
Unit 3
Manager
37 6,8 40 50,9

User Manual DASware design   DASware® design 
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 35
3.6. DASGIP DOCUMENTATION WIZARD  
Evaluating and graphically displaying exported process data is particularly easy and 
convenient using the Microsoft Excel® add-in 
DASGIP Documentation Wizard
. Both current 
and historical process data can be used and compared for the automatic creation of 
cultivation reports. Even individual ranges of process values, such as pH or DO, can be 
automatically grouped from different process datasets and displayed together graphically. It is 
recommended to select the process duration or directly the inoculation time as basis to ensure 
that the data series are automatically synchronized. 
The synchronized process flows significantly facilitate plausibility checks.  
All diagrams generated in the
 DASGIP Documentation Wizard
 can be formatted and edited 
with the standard Microsoft Excel® options.   
More information can be found in the DASGIP Documentation Wizard Manual. 
0,0
20,0
40,0
60,0
80,0
100,0
120,0
140,0
0:00:00 2:24:00 4:48:00 7:12:00 9:36:00 12:00:00
DO.PV [%DO]
Sync. Inoculation  Time
0,
1000,
2000,
3000,
0:00:00 2:24:00 4:48:00 7:12:00 9:36:00 12:00:00
N.PV [rpm]
Sync. Inoculation  Time

Application Example User Manual DASware® design
36 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
Design of Experiments (DoE) is a method for the planning and statistical evaluation of 
experiments/processes. The goal of DoE is to learn as much as possible about the 
relationships between influencing variables (Input) and results (Output) with as little effort as 
possible. 
DASware design
, especially in combination with the 
DASGIP Information Manager
, supports 
and synchronizes process management through the seamless integration of DoE.  
The experiment design, which has been either created in the DoE Builder or imported from 
external DoE software tools, can be easily integrated and implemented in 
DASGIP Control
. 
DoE software tools can provide the experiment design that can be easily integrated and 
implemented in 
DASGIP Control
. 
This chapter outlines the implementation of a DoE strategy with and without DoE software 
tools (JMP) as an example. 
4.1. FULL FACTORIAL DOE WITH THREE FACTORS AND TWO LEVELS 
A full factorial experiment setup consists of two or more factors with discrete values that are 
determined in two or more levels. In contrast to a fractional factorial setup, all factor 
combinations are carried out. This approach allows the observation or calculation of the 
effects of individual factors on the response as well as the interactions between the factors. 
In the following, the cultivation of 
Escherichia coli
 is considered with three variable factors in 
two levels for the determination of optimal growth conditions. The response used is the 
bacteria biomass which is determined based on the determination of the optical density 
(OD600). All possible combinations are carried out on 
DASbox
 System with three blocks. 
Please keep in mind that this simple example is intended to teach - the outcome is evident. 
Center Point Analysis 
To obtain sufficient information about the accuracy of the process results, the use of 
repetitions is recommended in literature. However, this significantly increases the work 
involved. This is generally not feasible in industrial practice.  
Application Example 4.

User Manual DASware® design   Application Example
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 37
The selected experiment setup includes two levels per factor, so that a possible non-linear 
relationship (curvature) between the factors and the response cannot be eliminated. A center 
point determination will help to verify this. If the center point deviation is significant, then at 
least one factor has a non-linear influence. 
It is important that the center point experiments are carried out together with the other 
experiments and not carried out later. If the experiment is divided into several blocks, a center 
point experiment should be implemented in each block. This is the only way of distinguishing 
between a deviation from the linearity and a change over time.  
The threefold determination of the center point provides reliable information on the accuracy 
of the data at an economically justifiable cost. 
In addition, the influence of inoculation cultures (differences between reactor blocks) can be 
determined. 
The selected settings are summarized below: 
 Three factors with two levels and center points           
The corresponding three-dimensional experimental space (design space) with center point 
looks as follows: 
 Response 
 Randomization 
The reactor positions are assigned to the three blocks. The assignment is random within the 
blocks to prevent a trend or any undetected fluctuation (e.g., sensor signal) from distorting 
the estimation of the effects of the factors. 
Factors Levels 
No.  Name  - 1  1  Center 
point 
1  pH  6.8  7.2  7 
2  T [° C]  34  37  35.5 
3  Glucose concentration [g/L]  20   60  40 
Response 
No.  Name 
R  Biomass (OD600)  
Design space 
Center point 
Gluc.conc. 
pH 
T 

Application Example User Manual DASware® design
38 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
 Implementation without External DoE Software Tools 4.1.1.
DoE Builder 
The DoE Builder allows the desired entries to be entered directly:  
1. Select the number of factors:     3 
2. Select the number of responses:   1 
3. Select Use center points 
4. Select Randomize 
5. Select Number of systems 1 and Block size 4. 
23 = 8 runs are needed. In addition, a center point is determined for each block so that a total 
of 11 runs are necessary. They are randomly distributed to system on an automatic basis and 
summarized in table form as follows: 
The entries in the DoE Builder can be saved using the Save button in order to transfer them if 
required, e.g., to an additional 
DASbox
 PC. 
After the suitable workflow has been selected as a template, all entries are transferred with 
Create Workflow to the Recipe Editor.  
2 
1 
3 
4 
5 

User Manual DASware® design   Application Example
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 39
Recipe Editor 
In the Recipe Editor, the entries can be adjusted or supplemented before the process is 
implemented. 
The second run (block) is shown as an example: 
All entries are saved using the Save button and the process can be started using the Run 
button.  
Process Monitoring and Control 
During a process any manual operation in the Reactor View is possible. However we 
recommend avoiding any manual adjustment since they affect the DoE result potentially. 
After all processes are completed, the process data is saved in 
DASGIP Control
 and can be 
used for further analysis.  
DASGIP Information Manager 
The 
DASGIP Information Manager
 is a helpful tool for performing plausibility checks and for 
complementing data. Process data can be grouped together with historical data and exported 
(see also 3.5).  
Data Analysis 
The exported process data can be generated by using the Export Table function and analyzed 
in Microsoft Excel®. 

Application Example User Manual DASware® design
40 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
 Most favorable factor combinations 
The most favorable factor combination is determined by the highest biomass concentration. 
 Main effects 
The main effects are analyzed by calculating the average values for the high (+) and the low 
(-) factor level. The difference of the average values is the effect in question.  
It is obvious that the factor glucose concentration has the largest effect on the response 
biomass. This is represented graphically with 1 and -1 for the two levels below. 
In addition, the determined center points provide information about a possible deviation from 
linearity. The 3-fold implementation of the center point determination used in this example 
provides an indication of the chance variation. 
Temp
A
pH
B
Gluc.-conc.
C
OD600 (t1)
--- 33,6
+ - - 26,1
- + - 25,6
+ + - 23,6
- - + 56,8
+ - + 67,4
- + + 65,8
+++ 46,7
center center center 48,0
Temp
A
pH
B
Gluc.-conc.
C
41,0 40,4 59,2 Average Level "-"
48,0 48,0 48,0 Average Center Points
45,5 46,0 27,2 Average Level "+"
-4,5 -5,6 32,0 Effect
1
-1
20,0
30,0
40,0
50,0
60,0
OD600
Level
T
center point
1
-1
20
30
40
50
60
OD600
Level
pH
center point
1
-1
20
30
40
50
60
OD600
Level
Gluc.Conc
center point

User Manual DASware® design   Application Example
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 41
 Interactions 
The figures below show the average values of both levels of a factor depending on the setting 
of an additional factor. 
An indicator of an interaction is the degree of non-parallelism between the corresponding 
straight lines. The greater the degree of parallelism between the straight lines, the lower the 
interactions. 
The presented results indicate an interaction between the factors pH and temperature, 
because the straight lines intersect. In the subsequent stage of process optimization, these 
two factors should be considered together. 
 Use of External DoE Tools (JMP) 4.1.2.
JMP is a standard software tool for the statistical planning of experiments, such as DoE. The 
following screenshots briefly outline the procedure for an experiment setup using JMP. 
0
10
20
30
40
50
60
70
-2 -1 0 1 2
OD600 (t1)
Gluc.-conc.
Temp 1
Temp -1
0
10
20
30
40
50
60
70
-2 -1 0 1 2
OD600 (t1)
pH
Temp 1
Temp -1
0
10
20
30
40
50
60
70
-2 -1 0 1 2
OD600 (t1)
Gluc.-conc.
pH 1
pH -1

Application Example User Manual DASware® design
42 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
1. Define design 
2. Define responses 
3. Define factors 
4. Define center points 
5. Generate a table with all entries 
Save the table as a Text Export File (*.txt) type. 
1 
2 
3 
4 
5 
6 

User Manual DASware® design   Application Example
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 43
This table generated and saved in JMP can now be easily loaded to the DoE Builder (4.1.1) of 
DASGIP Control
 so that all entries are automatically adopted.  
Loading External DoE Data to the DoE Builder 
DASware design
 offers the possibility to seamlessly integrate DoE data from different DoE 
software tools, such as JMP, in 
DASGIP Control
. 
Click on the   button to open the following dialog.  

Application Example User Manual DASware® design
44 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
Select a file and click on the Open button to open the file choosing the appropriate File type. 
The DoE data is then loaded into the DoE Builder and can still be adjusted if necessary. 
Process Monitoring and Control  
The process is executed as described under 4.1.1. 
After all processes are completed, the process data is saved in 
DASGIP Control
 and can be 
used for further analysis. Use the documentation wizard to select and export the factor and 
response table. 

User Manual DASware® design   Application Example
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 45
Data Analysis  
The exported DoE text file can be opened using the Open button in JMP. 
 Most favorable factor combinations 
 The most favorable factor combination is determined by the highest biomass concentration. 
 Main effects 
The main effects are analyzed at this point using a linear regression. The gradient is an 
indication of the effect of a factor.  
In the following, it can be seen that the glucose concentration has the largest effect on the 
response biomass.  

Application Example User Manual DASware® design
46 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
 Interactions 
The average values of both levels of a factor are also shown here depending on the setting of 
another factor. 
The results indicate an interaction between the factors pH and temperature. These should 
therefore be considered together in a subsequent process optimization stage. 
The following shows an additional display to determine the significance of effects, both of 
individual factors as well as of factor-factor interactions.  

User Manual DASware® design   Application Example
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 47

Application Example User Manual DASware® design
48 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany

User Manual DASware® design   Index
Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany 49
A 
Attributes, conditions, summary 
Setup parameters ............................... 28 
B 
Block size 
DoE Builder ........................................ 23 
C 
Create Workflows 
DoE Builder ........................................ 25 
D 
DASGIP Documentation Wizard ............ 35 
DASGIP Information Manager ............... 31 
DASware design 
Overview ............................................ 19 
Data analysis 
Factor combinations ........................... 40 
Interactions ........................................ 41 
JMP .................................................... 45 
Main effects ....................................... 40 
Microsoft Excel® ................................. 39 
Data export ........................................... 34 
Data preparation 
JMP .................................................... 41 
Definition 
Design space ...................................... 13 
Design space 
Definition ........................................... 13 
Documentation ..................................... 31 
DoE 
field of application ............................. 15 
Full factorial ....................................... 36 
DoE application example....................... 36 
DoE Builder 
Block size ........................................... 23 
Creating workflows ............................ 25 
Number of systems............................. 22 
Prefix .................................................. 23 
Saving settings ................................... 24 
Start index .......................................... 23 
Systems .............................................. 23 
Template ............................................ 23 
DoE Builder ........................................... 20 
Overview ............................................ 21 
Resource selection.............................. 22 
Selection, entry of factors ................... 22 
DoE Builder 
Resource example .............................. 24 
DoE Builder 
Loading external DoE data ................. 43 
F 
Factor combinations 
Data analysis ...................................... 40 
JMP data analysis ............................... 45 
Field of application 
DoE..................................................... 15 
I 
Interactions 
Data analysis ...................................... 41 
JMP data analysis ............................... 46 
J 
JMP 
Data analysis ...................................... 45 
Data preparation ................................ 41 
JMP data analysis 
Interactions ........................................ 46 
Main effects ....................................... 45 
JMP data analysis 
Factor combinations ........................... 45 
L 
Loading external DoE data 
DoE Builder ........................................ 43 
M 
Main effects 
Data analysis ...................................... 40 
JMP data analysis ............................... 45 
N 
Number of systems 
DoE Builder ........................................ 22 
O 
Open 
Recipe Editor ...................................... 27 
Overview 
DASware design ................................. 19 
DoE Builder ........................................ 21 
Index 

Index User Manual DASware® design
50 Copyright © 2012 DASGIP Information and Process Technology GmbH, Jülich, Germany
Recipe Editor ...................................... 27 
P 
Plausibility check ............................. 20, 35 
Prefix 
DoE Builder ......................................... 23 
Process flow 
schematic ........................................... 17 
Process implementation ........................ 30 
Q 
QbD 
Quality by Design ............................... 14 
Quality by Design 
QbD .................................................... 14 
R 
Recipe Editor ......................................... 27 
Open ................................................... 27 
Overview ............................................27 
Resource example 
DoE Builder .........................................24 
Resource selection 
DoE Builder .........................................22 
S 
Saving settings 
DoE Builder .........................................24 
Selection, entry of factors 
DoE Builder .........................................22 
Start index 
DoE Builder .........................................23 
Summary view .......................................30 
System 
DoE Builder .........................................23 
T 
Template 
DoE Builder .........................................23