%0 Conference Proceedings
%T Developing a Bi-objective Model to Configure a Scalable Manufacturing Line Considering Energy Consumption
%+ Base de Données (BD)
%A Jamiri, Atefeh
%A Mahmoodjanloo, Mehdi
%A Baboli, Armand
%Z Part VI - Meta-Heuristics and Optimization Techniques for Energy-Oriented Manufacturing Systems
%< avec comité de lecture
%( Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
%B IFIP International Conference on Advances in Production Management Systems
%C Nantes, France
%Y Alexandre Dolgui
%Y Alain Bernard
%Y David Lemoine
%Y Gregor von Cieminski
%Y David Romero
%I Springer International Publishing
%C Cham
%3 IFIP Advances in Information and Communication Technology
%V AICT-630
%N Part VI
%P 363-371
%8 2021-09-05
%D 2021
%R 10.1007/978-3-030-85874-2_38
%K Reconfigurable manufacturing systems
%K Flexibility
%K Factories of the future
%K Energy consumption optimization.
%Z Mathematics [math]/Optimization and Control [math.OC]Conference papers
%X Today, due to intense global competition, manufacturing systems need to be highly responsive and adaptive to fulfill market demand fluctuations and personalized production. Reconfigurable manufacturing system (RMS) is one of the main paradigms which has been introduced to overcome the dynamic nature of today’s industry. In addition, RMSs are also a basis to develop new generation of sustainable production systems. This paper addresses the problem of designing a scalable manufacturing line for a part family considering both cost- and energy-effectiveness criteria. Hence, a bi-objective mathematical programming model is proposed. The main decision is to configuration and/or reconfiguration of pro-duction line by adding a set of new machines from a list of candidate reconfigu-rable machine tools (RMTs) and/or transforming them among the stages to fulfill anticipated demands in the periods of a time horizon. A numerical example is solved to illustrate the validation of the model. CPLEX is utilized to implement an augmented epsilon constraint method to extract Pareto front. The results show that different strategies in configuration the production line have significant im-pact on cost- and energy-effectiveness criteria.
%G English
%Z TC 5 ; WG 5.7
%2 https://hal.science/hal-03626190/document
%2 https://hal.science/hal-03626190/file/2021%20-%20Developing%20a%20bi-objective%20model%20to%20configure%20a%20scalable%20manufacturing%20line%20considering%20energy%20consumption.pdf
%L hal-03626190
%U https://hal.science/hal-03626190
%~ CNRS
%~ UNIV-LYON1
%~ UNIV-LYON2
%~ INSA-LYON
%~ EC-LYON
%~ LIRIS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ TDS-MACS
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ LYON2
%~ INSA-GROUPE
%~ UDL
%~ UNIV-LYON
%~ IFIP-AICT-630