Periodic review fuzzy inventory model with variable lead time and fuzzy demand

Biswajit Sarkar, Amalendu Singha Mahapatra

Research output: Contribution to journalArticle

38 Citations (Scopus)

Abstract

This paper investigates a periodic review fuzzy inventory model with lead time, reorder point, and cycle length as decision variables. The main goal of this study is to minimize the expected total annual cost by simultaneously optimizing cycle length, reorder point, and lead time for the whole system based on fuzzy demand. Two models are considered in this paper: one with normal demand distribution and another with a distribution-free approach. The model assumes a logarithmic investment function for lost-sale rate reduction. Furthermore, two separate efficient computational algorithms are explained to obtain the optimal solution. Some numerical examples are given to illustrate the model.

Original languageEnglish
Pages (from-to)1197-1227
Number of pages31
JournalInternational Transactions in Operational Research
Volume24
Issue number5
DOIs
Publication statusPublished - 2017 Sep

Fingerprint

Sales
Inventory model
Lead time
Periodic review
Costs
Reorder point
Lost sales
Distribution free approach
Optimal solution

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Management of Technology and Innovation

Cite this

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Periodic review fuzzy inventory model with variable lead time and fuzzy demand. / Sarkar, Biswajit; Mahapatra, Amalendu Singha.

In: International Transactions in Operational Research, Vol. 24, No. 5, 09.2017, p. 1197-1227.

Research output: Contribution to journalArticle

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