Lot streaming technique in job-shop environment

Tung Sun Chan, T. C. Wong, Philip L.Y. Chan

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

5 Citations (Scopus)

Abstract

Applying Lot Streaming (LS) technique, a new approach is applied to determine LS conditions in Job-shop Scheduling Problem (JSP) using Genetic Algorithms (GA). LS approach allows a job (lot) to be split into a number of smaller sub-jobs (sub-lots) so that successive operations of the same job can be overlapped. In this connection, the total completion time of the whole job may be shortened. The proposed approach is developed to solve two sub-problems. The first sub-problem is called LS problem in which LS conditions are determined and another sub-problem is JSP after LS conditions are determined. A number of benchmarked problems will be investigated to study the optimum LS conditions in Just-In-Time (JIT) environment. Experiment results suggest that the model works fairly well with different objectives and good solutions can be obtained within reasonable time frame.
Original languageEnglish
Title of host publicationProceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05
Pages364-369
Number of pages6
Volume2005
DOIs
Publication statusPublished - 1 Dec 2005
Externally publishedYes
Event20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05 - Limassol, Cyprus
Duration: 27 Jun 200529 Jun 2005

Conference

Conference20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05
Country/TerritoryCyprus
CityLimassol
Period27/06/0529/06/05

ASJC Scopus subject areas

  • Engineering(all)

Cite this