Production Scheduling considering Outsourcing Options and Carrier Costs

We consider a single-machine scheduling problem with outsourcing options in an environment where the cost information of the downstream is available via some information sharing technologies. The due date is assigned to the position differently from the traditional due date. Each job can be processe...

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Main Authors: Byung-Cheon Choi, Yunhong Min, Myoung-Ju Park, Kyung Min Kim
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2020/7069291
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spelling doaj-7fd63d3bde7340939a743554559a9dcc2020-11-25T02:56:05ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/70692917069291Production Scheduling considering Outsourcing Options and Carrier CostsByung-Cheon Choi0Yunhong Min1Myoung-Ju Park2Kyung Min Kim3Department of Business Administration, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of KoreaGraduate School of Logistics, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Republic of KoreaDepartment of Industrial and Management Systems Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 17104, Republic of KoreaDepartment of Industrial Management and Engineering, Myongji University, 116 MyongJi-ro, Choein-gu, Yongin-si, Gyeonggi-do 17058, Republic of KoreaWe consider a single-machine scheduling problem with outsourcing options in an environment where the cost information of the downstream is available via some information sharing technologies. The due date is assigned to the position differently from the traditional due date. Each job can be processed in-house or outsourced. Note that, for cost saving, as many due dates as the number of outsourced jobs should be canceled. An in-house job incurs a stepwise penalty cost for tardiness, and an outsourced job incurs an outsourcing cost. Thus, the objective is to minimize the total penalty and outsourcing cost minus the total profit from cost savings. We show that the problem is weakly NP-hard and investigate some polynomially solvable cases. Due to the high complexity of the dynamic programming, we developed heuristics and verified their performance through numerical experiments.http://dx.doi.org/10.1155/2020/7069291
collection DOAJ
language English
format Article
sources DOAJ
author Byung-Cheon Choi
Yunhong Min
Myoung-Ju Park
Kyung Min Kim
spellingShingle Byung-Cheon Choi
Yunhong Min
Myoung-Ju Park
Kyung Min Kim
Production Scheduling considering Outsourcing Options and Carrier Costs
Journal of Advanced Transportation
author_facet Byung-Cheon Choi
Yunhong Min
Myoung-Ju Park
Kyung Min Kim
author_sort Byung-Cheon Choi
title Production Scheduling considering Outsourcing Options and Carrier Costs
title_short Production Scheduling considering Outsourcing Options and Carrier Costs
title_full Production Scheduling considering Outsourcing Options and Carrier Costs
title_fullStr Production Scheduling considering Outsourcing Options and Carrier Costs
title_full_unstemmed Production Scheduling considering Outsourcing Options and Carrier Costs
title_sort production scheduling considering outsourcing options and carrier costs
publisher Hindawi-Wiley
series Journal of Advanced Transportation
issn 0197-6729
2042-3195
publishDate 2020-01-01
description We consider a single-machine scheduling problem with outsourcing options in an environment where the cost information of the downstream is available via some information sharing technologies. The due date is assigned to the position differently from the traditional due date. Each job can be processed in-house or outsourced. Note that, for cost saving, as many due dates as the number of outsourced jobs should be canceled. An in-house job incurs a stepwise penalty cost for tardiness, and an outsourced job incurs an outsourcing cost. Thus, the objective is to minimize the total penalty and outsourcing cost minus the total profit from cost savings. We show that the problem is weakly NP-hard and investigate some polynomially solvable cases. Due to the high complexity of the dynamic programming, we developed heuristics and verified their performance through numerical experiments.
url http://dx.doi.org/10.1155/2020/7069291
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