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Customer order scheduling in parallel batching processors with splitting-merging procedure

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

We considered the problem of customer orders scheduling in a set of parallel batching processors with the objective of minimizing total weighted tardiness. We provided three simple intuitive heuristics to batch the customer orders. The simulation results revealed that the split-merge heuristic can minimize the total weighted tardiness, especially in the case of high customer demand variation and tight due date.

Original languageEnglish
Title of host publicationSCMIS 2010 - Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems
Subtitle of host publicationLogistics Systems and Engineering
Publication statusPublished - 2010
Externally publishedYes
Event2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering, SCMIS 2010 - Hong Kong, China
Duration: 6 Oct 20108 Oct 2010

Publication series

NameSCMIS 2010 - Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering

Conference

Conference2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering, SCMIS 2010
Country/TerritoryChina
CityHong Kong
Period6/10/108/10/10

Keywords

  • Customer order scheduling
  • Demand variation
  • Heuristics
  • Parallel batching processor
  • Sensitivity analysis

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Information Systems and Management

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