Identifying product and process configuration requirements in a decentralised service delivery system

Karppinen, Henri; Seppänen, Kaisa; Huiskonen, Janne

doi:10.1504/ijsom.2014.059561

Cited by 5 publications

(1 citation statement)

References 29 publications

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“…If all configuration software can assist the supplier during the configuration of the product, only some of them do the same for the associated production and/or delivery process. As product and process configurations are frequently interdependent, some authors [4][5] [6] have proposed combining them in a single problem called 'Concurrent Product and Process Configuration' (CPPC). The configuration software is used to confront customer's requirements and supplier needs with the CPPC model.…”

Section: Introductionmentioning

confidence: 99%

Product/Process Configuration Evolutionary Optimization: A Multiobjective Clustering in Order to Reduce Inconsistencies During Crossover

Pitiot¹,

Aldanondo

Vareilles

et al. 2019

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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Section: Introductionmentioning

confidence: 99%

Product/Process Configuration Evolutionary Optimization: A Multiobjective Clustering in Order to Reduce Inconsistencies During Crossover

Pitiot¹,

Aldanondo

Vareilles

et al. 2019

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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An Overview of the Contribution of Systems Thinking Within Management and Marketing

Bruni

Carrubbo

Cavacece

et al. 2017

New Economic Windows

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Optimisation of the concurrent product and process configuration: an approach to reduce computation time with an experimental evaluation

Pitiot

Monge

Aldanondo

et al. 2019

International Journal of Production Research

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Concurrent configuration of a product and its associated production process is a challenging problem in customer/supplier relations dealing with customisable or configurable products. It gathers in a single model multiple choices and constraints which come simultaneously from products (choices of components or functionalities), from processes (choices of resources and quantities) and from their mutual interrelations. Considering this problem as a Constraint Satisfaction Problem (CSP), the aim of this article is to improve its optimisation, while considering multiple objectives. Using an existing evolutionary optimisation algorithm as a basis, we propose an approach that reduces the computation time required for optimisation. The idea is first to quickly compute a rough Pareto of solutions, then ask the user to select an area of interest, and finally to launch a second computation on this restricted area. After an introduction to the problem, the approach is explained and the algorithm adaptations are presented. Then various computation experiments results demonstrate that computation times are significantly reduced while keeping the optimality level.

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Identifying product and process configuration requirements in a decentralised service delivery system

Cited by 5 publications

References 29 publications

Product/Process Configuration Evolutionary Optimization: A Multiobjective Clustering in Order to Reduce Inconsistencies During Crossover

Product/Process Configuration Evolutionary Optimization: A Multiobjective Clustering in Order to Reduce Inconsistencies During Crossover

An Overview of the Contribution of Systems Thinking Within Management and Marketing

Optimisation of the concurrent product and process configuration: an approach to reduce computation time with an experimental evaluation

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