Decision support for the dynamic reconfiguration of machine layout and part routing in cellular manufacturing

Hao W. Lin, Tomohiro Murata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A mathematical based approach is presented to evaluate the dynamic cellular reconfiguration problem in a CM system. The model developed is a multi-objective Goal Programming problem that simultaneously considers performance in machine utilization, inter-cellular part movements, and machine reallocation. The merit of the approach presented in this paper is the utilization of meta-goals to represent decision-makers' preferences and to ensure the meta-goals can effectively guide the underlying model to reach a solution that best satisfies decision-makers' preferences. This approach significantly improves decision-support capabilities, and it is critical for the development of decision-support systems. A hypothetical numerical example is provided in this paper to verify the strength of the presented approach.

Original languageEnglish
Title of host publicationProceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010
Pages1650-1655
Number of pages6
Publication statusPublished - 2010
EventInternational MultiConference of Engineers and Computer Scientists 2010, IMECS 2010 - Kowloon
Duration: 2010 Mar 172010 Mar 19

Other

OtherInternational MultiConference of Engineers and Computer Scientists 2010, IMECS 2010
CityKowloon
Period10/3/1710/3/19

Fingerprint

Cellular manufacturing
Decision support systems

Keywords

  • Cellular manufacturing
  • Decision support
  • Machine layout
  • Optimization

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

Lin, H. W., & Murata, T. (2010). Decision support for the dynamic reconfiguration of machine layout and part routing in cellular manufacturing. In Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010 (pp. 1650-1655)

Decision support for the dynamic reconfiguration of machine layout and part routing in cellular manufacturing. / Lin, Hao W.; Murata, Tomohiro.

Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. 2010. p. 1650-1655.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lin, HW & Murata, T 2010, Decision support for the dynamic reconfiguration of machine layout and part routing in cellular manufacturing. in Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. pp. 1650-1655, International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010, Kowloon, 10/3/17.
Lin HW, Murata T. Decision support for the dynamic reconfiguration of machine layout and part routing in cellular manufacturing. In Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. 2010. p. 1650-1655
Lin, Hao W. ; Murata, Tomohiro. / Decision support for the dynamic reconfiguration of machine layout and part routing in cellular manufacturing. Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. 2010. pp. 1650-1655
@inproceedings{4fbb4ac1690b4d0aa761e95930fa113c,
title = "Decision support for the dynamic reconfiguration of machine layout and part routing in cellular manufacturing",
abstract = "A mathematical based approach is presented to evaluate the dynamic cellular reconfiguration problem in a CM system. The model developed is a multi-objective Goal Programming problem that simultaneously considers performance in machine utilization, inter-cellular part movements, and machine reallocation. The merit of the approach presented in this paper is the utilization of meta-goals to represent decision-makers' preferences and to ensure the meta-goals can effectively guide the underlying model to reach a solution that best satisfies decision-makers' preferences. This approach significantly improves decision-support capabilities, and it is critical for the development of decision-support systems. A hypothetical numerical example is provided in this paper to verify the strength of the presented approach.",
keywords = "Cellular manufacturing, Decision support, Machine layout, Optimization",
author = "Lin, {Hao W.} and Tomohiro Murata",
year = "2010",
language = "English",
isbn = "9789881701282",
pages = "1650--1655",
booktitle = "Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010",

}

TY - GEN

T1 - Decision support for the dynamic reconfiguration of machine layout and part routing in cellular manufacturing

AU - Lin, Hao W.

AU - Murata, Tomohiro

PY - 2010

Y1 - 2010

N2 - A mathematical based approach is presented to evaluate the dynamic cellular reconfiguration problem in a CM system. The model developed is a multi-objective Goal Programming problem that simultaneously considers performance in machine utilization, inter-cellular part movements, and machine reallocation. The merit of the approach presented in this paper is the utilization of meta-goals to represent decision-makers' preferences and to ensure the meta-goals can effectively guide the underlying model to reach a solution that best satisfies decision-makers' preferences. This approach significantly improves decision-support capabilities, and it is critical for the development of decision-support systems. A hypothetical numerical example is provided in this paper to verify the strength of the presented approach.

AB - A mathematical based approach is presented to evaluate the dynamic cellular reconfiguration problem in a CM system. The model developed is a multi-objective Goal Programming problem that simultaneously considers performance in machine utilization, inter-cellular part movements, and machine reallocation. The merit of the approach presented in this paper is the utilization of meta-goals to represent decision-makers' preferences and to ensure the meta-goals can effectively guide the underlying model to reach a solution that best satisfies decision-makers' preferences. This approach significantly improves decision-support capabilities, and it is critical for the development of decision-support systems. A hypothetical numerical example is provided in this paper to verify the strength of the presented approach.

KW - Cellular manufacturing

KW - Decision support

KW - Machine layout

KW - Optimization

UR - http://www.scopus.com/inward/record.url?scp=79952414434&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79952414434&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9789881701282

SP - 1650

EP - 1655

BT - Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010

ER -