An Improved Algorithm based on Constraint Programming for Job Shop Rescheduling Problem with New Job Insertion

Peng Yun-fang, Su Chen

2016

Abstract

Due to a variety of unexpected situations, the shop needs to make adjustments on the original schedule. Aiming at job shop rescheduling caused by new job arrival, we build an optimal model based constraint programming to make a reschedule to minimize the makespan. And considering the advantage of constraint programming in solving combinatorial optimization problems, we combined constraint propagation techniques with construction search strategy, a rescheduling algorithm based on constraint programming is designed. Computational experiments of rescheduling problems are generated based on the benchmark of Job shop scheduling problem. Results reveal the proposed algorithm can solve the instances in short time.

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Paper Citation


in Harvard Style

Yun-fang P. and Chen S. (2016). An Improved Algorithm based on Constraint Programming for Job Shop Rescheduling Problem with New Job Insertion . In ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME, ISBN 978-989-758-208-0, pages 68-73. DOI: 10.5220/0006443900680073


in Bibtex Style

@conference{isme16,
author={Peng Yun-fang and Su Chen},
title={An Improved Algorithm based on Constraint Programming for Job Shop Rescheduling Problem with New Job Insertion},
booktitle={ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME,},
year={2016},
pages={68-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006443900680073},
isbn={978-989-758-208-0},
}


in EndNote Style

TY - CONF
JO - ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME,
TI - An Improved Algorithm based on Constraint Programming for Job Shop Rescheduling Problem with New Job Insertion
SN - 978-989-758-208-0
AU - Yun-fang P.
AU - Chen S.
PY - 2016
SP - 68
EP - 73
DO - 10.5220/0006443900680073