Article

Optimality analysis of facility location problems using response surface methodology

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Response surface methodology (RSM) is used for optimality analysis of the cost coefficients in mixed integer linear programming. This optimality analysis goes beyond traditional sensitivity and parametric analysis in allowing investigation of the optimal objective function value response over pre-specified ranges on multiple problem parameters. Design of experiments and least squares regression are used to indicate which cost coefficients have the greatest impact on the optimal total cost surface over the specified coefficient ranges. The mixed integer linear programming problems of interest are the large-scale facility location and allocation problems in supply chain optimization. A system that automates this process for supply chain optimization at PFS Logistics Consulting is discussed and an example is presented.

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Ketersediaan

Informasi Detail

Judul Seri

International Journal of Physical Distribution & Logistics

No. Panggil

ATC LO MOO o

Penerbit

USA : ., 2011

Deskripsi Fisik

17 p.

Bahasa

English

ISBN/ISSN

-

Klasifikasi

LO

Tipe Isi

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Tipe Media

-

Tipe Pembawa

online resource

Edisi

Vol. 31 No. 1, 2001

Subjek

Design of experiments
Supply Chain
Location
Optimization

Info Detail Spesifik

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Pernyataan Tanggungjawab

J.T. Moore

Versi lain/terkait

Lampiran Berkas

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