OPTIMAL INTEGRATION OF PRODUCT CONFIGURATION AND PROCESS PLANNING TO MEET INDIVIDUAL CUSTOMER REQUIREMENTS IN MASS CUSTOMIZATION
Résumé
According to researchers and practitioners, modular products are considered as key enablers for Mass Customization (MC). Modular design is a strategy for designing products composed by many subparts (modules), which are developed separately and assembled later in different ways, enabling the configuration of several product variants. Customers do not always know how to translate their requirements into product configurations, thus an alternative could be 'co-configuring' the product with them. This is done by an automatic modules selection based on customer requirements to get a first product configuration, which can be subsequently adjusted by the customer, if necessary. Currently, the optimal module selection is mainly conducted without considering the process planning optimization. Nevertheless, integrating both optimizations would increase product/process flexibility and agility, reducing the overall manufacturing costs. Thereby, it is important to integrate the product configuration, driven by individual customer requirements, with the process planning for MC. This paper proposes a 0-1 integer linear programming model to optimize, in terms of cost-minimization, the integration of product configuration and process planning, for MC. Results obtained with a 2-steps approach composed by an exhaustive search algorithm (ESA) and CPLEX-solver show that total cost can be considerably minimized if both optimizations are considered together.
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