Customer order scheduling in a general job shop environment

James D. Blocher, Dilip Chhajed, Mark Leung

Research output: Contribution to journalArticlepeer-review

Abstract

The primary objective of this study is to examine the performance of order-based dispatching rules in a general job shop, where the environmental factors are shop utilization and due date tightness. An order is defined as a collection of jobs that are shipped as a group - 7an order - to the customer, only on completion of the last job of the order. We specifically compare dispatching rules from past job-based studies to some rules adapted to encompass order characteristics. Standard flow time and tardiness measures are used, but in addition, we introduce measures that combine average performance with variation in an attempt to capture the performance of a majority of the orders processed in the shop. Of the 16 dispatching rules tested, our results show that four of the simple rules dominate the others. We also found that order-based rules perform better than their job-based counterparts. The study makes use of multivariate statistical analysis, in addition to the usual univariate tests, which can provide additional insight to managers using multiple criteria in their decision process.

Original languageEnglish (US)
Pages (from-to)951-981
Number of pages31
JournalDecision Sciences
Volume29
Issue number4
StatePublished - Jan 1 1998

Keywords

  • Job shop scheduling
  • Multivariate statistics
  • Simulation

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Strategy and Management
  • Information Systems and Management
  • Management of Technology and Innovation

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