Lost sales reduction and quality improvement with variable lead time and fuzzy costs in an imperfect production system

Hardik N. Soni, Biswajit Sarkar, Amalendu Singha Mahapatra, S. K. Mazumder

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

This article investigates the effects of lost sales reduction and quality improvement in an imperfect production process under imprecise environment with simultaneously optimizing reorder point, order quantity, and lead time. This study assumes that the demand during lead time follows a mixture of normal distributions and the cost components are imprecise and vague. Under these assumptions, the aim is to study the lost sales reduction and the quality improvement in an uncertainty environment. The objective function in fuzzy sense is defuzzified using Modified Graded Mean Integration Representation Method (MGMIRM). For the defuzzified objective function, theoretical results are developed to establish optimal policies. Finally, some numerical examples and sensitivity analysis are provided to examine the effects of non-stochastic uncertainty.

Original languageEnglish
Pages (from-to)819-837
Number of pages19
JournalRAIRO - Operations Research
Volume52
Issue number3
DOIs
Publication statusPublished - 2018 Jul 1

Fingerprint

Lost Sales
Quality Improvement
Production Systems
Imperfect
Sales
Objective function
Mixture of Normal Distributions
Uncertainty
Costs
Normal distribution
Optimal Policy
Sensitivity analysis
Sensitivity Analysis
Numerical analysis
Numerical Examples
Quality improvement
Lead time
Lost sales
Demand
Production process

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science Applications
  • Management Science and Operations Research

Cite this

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Lost sales reduction and quality improvement with variable lead time and fuzzy costs in an imperfect production system. / Soni, Hardik N.; Sarkar, Biswajit; Mahapatra, Amalendu Singha; Mazumder, S. K.

In: RAIRO - Operations Research, Vol. 52, No. 3, 01.07.2018, p. 819-837.

Research output: Contribution to journalArticle

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