A Broader View of the Job-Shop Scheduling Problem

We define a job-shop scheduling problem with three dynamic decisions: assigning duedates to exogenously arriving jobs, releasing jobs from a backlog to the shop floor, and sequencing jobs at each workstation in the shop. The objective is to minimize both the work-in-process (WIP) inventory on the sh...

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Main Authors: Wein, Lawrence M., Chevalier, Philippe B.
Format: Working Paper
Language:en_US
Published: Massachusetts Institute of Technology, Operations Research Center 2004
Online Access:http://hdl.handle.net/1721.1/5389
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author Wein, Lawrence M.
Chevalier, Philippe B.
author_facet Wein, Lawrence M.
Chevalier, Philippe B.
author_sort Wein, Lawrence M.
collection MIT
description We define a job-shop scheduling problem with three dynamic decisions: assigning duedates to exogenously arriving jobs, releasing jobs from a backlog to the shop floor, and sequencing jobs at each workstation in the shop. The objective is to minimize both the work-in-process (WIP) inventory on the shop floor and the due-date lead time (due-date minus arrival date) of jobs, subject to an upper bound constraint on the proportion of tardy jobs. A general two-step approach to this problem is proposed: (1) release and sequence jobs in order to minimize the WIP inventory subject to completing jobs at a specified rate, and (2) given the policies in (1), set due-dates that will attempt to minimize the due-date lead time, subject to the job tardiness constraint. A simulation study shows that this approach easily outperforms other combinations of traditional due-date setting,job release, and priority sequencing policies. As a result of the study, three scheduling principles are proposed that can significantly improve the performance of a job shop. In particular, better due-date performance can be achieved by ignoring due-dates on the shop floor.
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spelling mit-1721.1/53892019-04-12T08:16:35Z A Broader View of the Job-Shop Scheduling Problem Wein, Lawrence M. Chevalier, Philippe B. We define a job-shop scheduling problem with three dynamic decisions: assigning duedates to exogenously arriving jobs, releasing jobs from a backlog to the shop floor, and sequencing jobs at each workstation in the shop. The objective is to minimize both the work-in-process (WIP) inventory on the shop floor and the due-date lead time (due-date minus arrival date) of jobs, subject to an upper bound constraint on the proportion of tardy jobs. A general two-step approach to this problem is proposed: (1) release and sequence jobs in order to minimize the WIP inventory subject to completing jobs at a specified rate, and (2) given the policies in (1), set due-dates that will attempt to minimize the due-date lead time, subject to the job tardiness constraint. A simulation study shows that this approach easily outperforms other combinations of traditional due-date setting,job release, and priority sequencing policies. As a result of the study, three scheduling principles are proposed that can significantly improve the performance of a job shop. In particular, better due-date performance can be achieved by ignoring due-dates on the shop floor. 2004-05-28T19:37:11Z 2004-05-28T19:37:11Z 1989-12 Working Paper http://hdl.handle.net/1721.1/5389 en_US Operations Research Center Working Paper;OR 206-89 1969164 bytes application/pdf application/pdf Massachusetts Institute of Technology, Operations Research Center
spellingShingle Wein, Lawrence M.
Chevalier, Philippe B.
A Broader View of the Job-Shop Scheduling Problem
title A Broader View of the Job-Shop Scheduling Problem
title_full A Broader View of the Job-Shop Scheduling Problem
title_fullStr A Broader View of the Job-Shop Scheduling Problem
title_full_unstemmed A Broader View of the Job-Shop Scheduling Problem
title_short A Broader View of the Job-Shop Scheduling Problem
title_sort broader view of the job shop scheduling problem
url http://hdl.handle.net/1721.1/5389
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