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How to use configuration software in 'Less Routine Design' situations? Some modelling propositions
- Source :
- Extrait de : Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018-International Conference on Industrial Engineering and Engineering Management, IEEM 2018-International Conference on Industrial Engineering and Engineering Management, Dec 2018, Bangkok, Thailand. pp.1279-1283, ⟨10.1109/IEEM.2018.8607401⟩, IEEM
- Publication Year :
- 2018
-
Abstract
- International audience; This paper considers the configuration of physical systems in a business to business environment (machine tool, aerospace equipment, cranes …). In this kind of business, knowledge-based configuration software are frequently used when dealing with "infinitely routine design" situations where the entire customer's requirements can be fulfilled with standard systems. However, in "less routine design" situations where non-standard systems must be designed in order to fulfill the entire customers' requirements, existing knowledge-based configuration software cannot be used. In fact, the configuration hypothesis state that all configured systems are assembled from standard subsystems and components. The aim of this paper is therefore to investigate how the existing products/systems configuration hypothesis, problems' definitions, and models can be modified or adapted in order to allow the use of configuration software in "less routine design" situations. In this purpose, first, the main differences between standard and non-standards systems are analyzed. Then, six cases of systems configuration that differentiate "less routine design" from "infinitely routine design" are identified and discussed. Finally, some Constraint Satisfaction Problems (CSP) based modeling extensions are proposed to allow the use of configuration software in these situations.
- Subjects :
- 0209 industrial biotechnology
Less routine design
business.product_category
Computer science
Constraint satisfaction problem
Physical system
02 engineering and technology
Knowledge-based systems
[SPI]Engineering Sciences [physics]
020901 industrial engineering & automation
Software
Knowledge-based model
0502 economics and business
Aerospace
business.industry
05 social sciences
Business-to-business
Configuration software
Modélisation et simulation
Industrial engineering
Machine tool
State (computer science)
Constraint Satisfaction Problem
business
050203 business & management
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Extrait de : Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018-International Conference on Industrial Engineering and Engineering Management, IEEM 2018-International Conference on Industrial Engineering and Engineering Management, Dec 2018, Bangkok, Thailand. pp.1279-1283, ⟨10.1109/IEEM.2018.8607401⟩, IEEM
- Accession number :
- edsair.doi.dedup.....ecc8406c3554c1198662831c3b086234