Citation
Integrated production and outbound distribution scheduling problem with setup times and delivery time windows. In proceedings of the 7th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2015), 25 - 28 Aug 2015, Prague, Czech Republic, pages 174-188, 2015.
Paper
Abstract
In this paper, we study a production and outbound distribution scheduling problem in a company working in the metal packaging industry. In this problem, a set of jobs has to be processed on unrelated parallel machines with job splitting and sequence-dependent setup time (cost). Then the ?nished products are delivered in batches to several customers with heterogeneous vehicles subject to delivery time windows. The objective of production is to minimize the total setup cost and the objective of distribution is to minimize the transportation cost. We propose mathematical models for decentralized scheduling problems and integrated scheduling problem. We develop a two-phase iterative heuristic to solve the integrated scheduling problem. We evaluate the bene?t of coordination through numerical experiments.
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Bibtex
@INPROCEEDINGS{2015-174-188-P, author = {L-L Fu and M.A. Aloulou and C. Triki},
title = {Integrated production and outbound distribution scheduling problem with setup times and delivery time windows},
booktitle = {In proceedings of the 7th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2015), 25 - 28 Aug 2015, Prague, Czech Republic},
year = {2015},
editor = {Z. Hanzalek and G. Kendall and B. McCollum and P. Sucha},
pages = {174--188},
note = {Paper},
abstract = { In this paper, we study a production and outbound distribution scheduling problem in a company working in the metal packaging industry. In this problem, a set of jobs has to be processed on unrelated parallel machines with job splitting and sequence-dependent setup time (cost). Then the ?nished products are delivered in batches to several customers with heterogeneous vehicles subject to delivery time windows. The objective of production is to minimize the total setup cost and the objective of distribution is to minimize the transportation cost. We propose mathematical models for decentralized scheduling problems and integrated scheduling problem. We develop a two-phase iterative heuristic to solve the integrated scheduling problem. We evaluate the bene?t of coordination through numerical experiments.},
owner = {Graham},
timestamp = {2017.01.16},
webpdf = {2015-174-188-P.pdf} }