%0 Conference Proceedings
%T An Optimization Tool for Process Planning and Scheduling
%+ Université de Technologie de Belfort-Montbeliard (UTBM)
%+ Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST)
%A Bettwy, Mathieu
%A Deschinkel, Karine
%A Gomes, Samuel
%Z Part 2: Knowledge Discovery and Sharing
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B IFIP International Conference on Advances in Production Management Systems (APMS)
%C Ajaccio, France
%Y Bernard Grabot
%Y Bruno Vallespir
%Y Samuel Gomes
%Y Abdelaziz Bouras
%Y Dimitris Kiritsis
%I Springer
%3 Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World
%V AICT-438
%N Part I
%P 443-450
%8 2014-09-20
%D 2014
%R 10.1007/978-3-662-44739-0_54
%K Process planning
%K Scheduling
%K Genetic algorithm
%Z Computer Science [cs]Conference papers
%X Process planning and scheduling are one of the most important functions to support flexible planning in a manufacture. The planning and scheduling should be solved simultaneously and not sequential for productivity improvements in manufacturing. In this paper, we propose an optimization tool based on genetic algorithm (GA) approach to help person in charge of process planning and scheduling to find the most promising sequence of operations considering a choice of machines on which to perform the operations. Minimizing makespan is the evaluation criteria.
%G English
%Z TC 5
%Z WG 5.7
%2 https://inria.hal.science/hal-01388574/document
%2 https://inria.hal.science/hal-01388574/file/978-3-662-44739-0_54_Chapter.pdf
%L hal-01388574
%U https://inria.hal.science/hal-01388574
%~ CNRS
%~ UNIV-FCOMTE
%~ UNIV-BM
%~ ENSMM
%~ FEMTO-ST
%~ UNIV-BM-THESE
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ IFIP-AICT-438