A new benchmarking approach in Cold Chain

Amir Shabani; Reza Farzipoor Saen; Seyed Mohammad Reza Torabipour

doi:10.1016/j.apm.2011.05.051

A new benchmarking approach in Cold Chain

Amir Shabani, Reza Farzipoor Saen^*, Seyed Mohammad Reza Torabipour

^*Corresponding author for this work

Operations Management & Business Statistics

Research output: Contribution to journal › Article › peer-review

62 Citations (Scopus)

Abstract

The dark area of Supply Chain Management (SCM) is inadequate attentions to those products that have limitations such as shelf life, need to special equipments and facilities for sales, storage and distribution and so on. For this reason the concept of Cold Chain Management (CCM) was emerged. The main objective of this paper is to develop a linear pair model for selecting the best sales agents as a "Benchmark" in the presence of non-discretionary factors and imprecise data under Free Disposability assumption.

Original language	English
Pages (from-to)	212-224
Number of pages	13
Journal	Applied Mathematical Modelling
Volume	36
Issue number	1
DOIs	https://doi.org/10.1016/j.apm.2011.05.051
Publication status	Published - Jan 2012

Keywords

Benchmarking
Cold chain
Data envelopment analysis
Free disposal hull
Imprecise data
Non-discretionary factors

ASJC Scopus subject areas

Modelling and Simulation
Applied Mathematics

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10.1016/j.apm.2011.05.051

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AB - The dark area of Supply Chain Management (SCM) is inadequate attentions to those products that have limitations such as shelf life, need to special equipments and facilities for sales, storage and distribution and so on. For this reason the concept of Cold Chain Management (CCM) was emerged. The main objective of this paper is to develop a linear pair model for selecting the best sales agents as a "Benchmark" in the presence of non-discretionary factors and imprecise data under Free Disposability assumption.

KW - Benchmarking

KW - Cold chain

KW - Data envelopment analysis

KW - Free disposal hull

KW - Imprecise data

KW - Non-discretionary factors

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A new benchmarking approach in Cold Chain

Abstract

Keywords

ASJC Scopus subject areas

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