Lot streaming technique in job-shop environment

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

doi:10.1109/.2005.1467042

Lot streaming technique in job-shop environment

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

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05
Pages	364-369
Number of pages	6
Volume	2005
DOIs	https://doi.org/10.1109/.2005.1467042
Publication status	Published - 1 Dec 2005
Externally published	Yes
Event	20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05 - Limassol, Cyprus Duration: 27 Jun 2005 → 29 Jun 2005

Conference

Conference	20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05
Country/Territory	Cyprus
City	Limassol
Period	27/06/05 → 29/06/05

ASJC Scopus subject areas

General Engineering

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10.1109/.2005.1467042

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title = "Lot streaming technique in job-shop environment",

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.",

author = "Chan, {Tung Sun} and Wong, {T. C.} and Chan, {Philip L.Y.}",

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isbn = "0780389360",

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booktitle = "Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05",

note = "20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05 ; Conference date: 27-06-2005 Through 29-06-2005",

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Chan, TS, Wong, TC & Chan, PLY 2005, Lot streaming technique in job-shop environment. in Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05. vol. 2005, 1467042, pp. 364-369, 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05, Limassol, Cyprus, 27/06/05. https://doi.org/10.1109/.2005.1467042

Lot streaming technique in job-shop environment. / Chan, Tung Sun; Wong, T. C.; Chan, Philip L.Y.
Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05. Vol. 2005 2005. p. 364-369 1467042.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Wong, T. C.

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PY - 2005/12/1

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N2 - 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.

AB - 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.

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BT - Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05

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ER -

Lot streaming technique in job-shop environment

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