Integrated facility design using an evolutionary approach with a subordinate network algorithm

Bryan A. Norman, Alice E. Smith, Rifat Aykut Arapoglu

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

6 Scopus citations

Abstract

The facility design problem is a common one in manufacturing and service industries and has been studied extensively in the literature. However, restrictions on the scope of the design problem have been imposed by the limitations of the optimization techniques employed. This paper uses an evolutionary approach with a subordinate network optimization algorithm to produce integrated designs that have better translations into physical plant designs. A new distance metric to consider material travel along the perimeter of the departments to and from input/output locations is devised. This perimeter distance metric is used in the objective function to produce facility designs that simultaneously optimize design of department shapes, department placement and location of the department input/output points.

Original languageEnglish
Title of host publicationParallel Problem Solving from Nature, PPSN 1998 - 5th International Conference, Proceedings
Pages937-946
Number of pages10
StatePublished - Dec 1 1998
Event5th International Conference on Parallel Problem Solving from Nature, PPSN 1998 - Amsterdam, Netherlands
Duration: Sep 27 1998Sep 30 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1498 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Parallel Problem Solving from Nature, PPSN 1998
CountryNetherlands
CityAmsterdam
Period09/27/9809/30/98

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Norman, B. A., Smith, A. E., & Arapoglu, R. A. (1998). Integrated facility design using an evolutionary approach with a subordinate network algorithm. In Parallel Problem Solving from Nature, PPSN 1998 - 5th International Conference, Proceedings (pp. 937-946). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1498 LNCS).