4 Experimental Design Software Manufacturers in 2024
This section provides an overview for experimental design softwares as well as their applications and principles. Also, please take a look at the list of 4 experimental design software manufacturers and their company rankings. Here are the top-ranked experimental design software companies as of April, 2024: 1.Praxie, 2.Synthace, 3.JMP Statistical Discovery LLC..
Table of Contents
What Is an Experimental Design Software?
Experimental Design Software, also known as DOE (Design of Experiments) software, is a tool designed to assist in the design and analysis of experiments based on the field of experimental design, which is a branch of applied statistics.
Experimental design, or Design of Experiments (DOE), is considered a field of applied statistics. It aims to design efficient experimental methods for situations where multiple factors influence each other, allowing for the mathematical analysis of results. Developed based on the ideas of the British statistician R.A. Fisher, it is built upon three principles known as Fisher's Three Principles: local control, replication, and randomization.
While conducting experiments based on experimental design can enhance efficiency and lead to meaningful conclusions, it requires specialized knowledge and experience due to its complex procedures. Experimental Design Software facilitates the process by providing templates for these procedures and automating the analysis, making experimental design and analysis more accessible.
Uses of Experimental Design Software
Experimental design finds applications in various fields such as manufacturing, healthcare, agriculture, and marketing, and the software designed for it is widely used in these areas.
1. Manufacturing
In manufacturing, Experimental Design Software is employed to enhance product quality and productivity. By varying parameters related to quality, such as temperature management and reaction times, manufacturers evaluate the strength and durability of produced products or materials. This process aims to find optimal manufacturing conditions considering factors like yield and production costs.
2. Healthcare
In the healthcare sector, Experimental Design Software is utilized for the development of new drugs and the optimization of treatment methods. It contributes to the efficiency of tasks related to evaluating the effectiveness and safety of drugs or optimizing treatment methods.
3. Agriculture
Agriculture employs experimental design to increase crop yield and improve quality. By varying factors such as the use of fertilizers and pesticides, observations are made on changes in crop yield, size, taste, etc. This helps in achieving a better harvest.
4. Marketing
Experimental Design Software plays a role in devising marketing strategies. For instance, efficiently increasing awareness of new products or services, helps determine the type of advertisement suitable for each target group by varying target demographics.
Principles of Experimental Design Software
Experimental design is based on Fisher's Three Principles: local control, replication, and randomization. Designing experiments and conducting them based on these principles allows for obtaining correct data more quickly.
- Principle of Local Control
When there are numerous factors influencing the experiment, all factors except the one being investigated are kept as constant as possible. - Principle of Replication
To eliminate the influence of random errors in each experiment, repetitions under the same conditions are performed. - Principle of Randomization
When extracting data, statistical methods are used to randomly select samples.
Experimental Design Software is designed with functionalities that support the design and analysis of experiments based on real-world scenarios in manufacturing, healthcare, and other fields. Therefore, it allows for concluding experiments with fewer trial runs, quantitatively evaluating effects, understanding interactions between factors affecting experiments, and modeling experiments to find optimal solutions.
How to Choose Experimental Design Software
Experimental design comes in various types, including screening design, factorial design, response surface design, Taguchi design, and mixture design. Choosing the right software involves considering the specific type of experimental design needed.
Different software types support different design types, and there are variations in features such as validation tools, graphical tools, and numerical optimization tools. Some software may offer a trial of certain features for free.
While Experimental Design Software is intended to simplify the design and analysis of experiments, it can be challenging to handle without expertise in experimental design. Therefore, it is crucial to read books on experimental design, attend relevant seminars, and gain a deep understanding before making a selection.
List of 4 Experimental Design Software Manufacturers
*Including some distributors, etc.
Sort by Features
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- Company Size: largest first
- Year Founded: oldest first
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Sartorius AG
DOE Software
Manufacturer Overview
Sartorius AG, started in 1870 and headquartered in Göttingen, Germany, is a manufacturer and supplier of lab products and bioprocess solutions. It is the parent company of the Sartorius Group and provides instruments, consumables, and services for chemical, biopharmaceutical, and academic set-ups. The company sells its products under several brand names, such as Cubis, Ambr, and Flexsafe, and provides services like bioprocess consulting, biologics testing, and instrument service. It is available in over 60 countries and is listed on the Frankfurt Stock Exchange with preference and ordinary shares. It operates two divisions, namely bioprocess solutions and lab products and services.
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JMP Statistical Discovery LLC.
Design of Experiments Software
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Synthace
DOE software
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Experimental Design Software Manufacturer Ranking
*Including some distributors, etc.Ranking as of April 2024
Derivation Method| Rank | Company | Click Share |
|---|---|---|
| 1 | Praxie |
40.0%
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| 2 | Synthace |
20.0%
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| 3 | JMP Statistical Discovery LLC. |
20.0%
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| 4 | Sartorius AG |
20.0%
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Derivation Method
The ranking is calculated based on the click share within the experimental design software page as of April 2024. Click share is defined as the total number of clicks for all companies during the period divided by the number of clicks for each company.Number of Employees
Newly Established Company
Company with a History
