An economic production quantity model with random defective rate, rework process and backorders for a single stage production system

Biswajit Sarkar, Leopoldo Eduardo Cárdenas-Barrón, Mitali Sarkar, Moses Laksono Singgih

Research output: Contribution to journalArticle

102 Citations (Scopus)

Abstract

This paper revisits the economic production quantity (EPQ) model with rework process at a single-stage manufacturing system with planned backorders. It is well known that any imperfect production system of real life has random defective rates. In this direction, this paper extends an inventory model to allow random defective rates. Basically, three different inventory models are developed for three different distribution density functions such as uniform, triangular, and beta. The analytical derivation provides closed-form solution for each inventory model. We have made comparison tables of optimal results among the distribution functions. Some numerical examples and sensitivity analysis are given to illustrate the inventory models.

Original languageEnglish
Pages (from-to)423-435
Number of pages13
JournalJournal of Manufacturing Systems
Volume33
Issue number3
DOIs
Publication statusPublished - 2014 Jul

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Economics
Distribution functions
Probability density function
Sensitivity analysis
Numerical analysis

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Hardware and Architecture
  • Software

Cite this

Sarkar, Biswajit ; Cárdenas-Barrón, Leopoldo Eduardo ; Sarkar, Mitali ; Singgih, Moses Laksono. / An economic production quantity model with random defective rate, rework process and backorders for a single stage production system. In: Journal of Manufacturing Systems. 2014 ; Vol. 33, No. 3. pp. 423-435.
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An economic production quantity model with random defective rate, rework process and backorders for a single stage production system. / Sarkar, Biswajit; Cárdenas-Barrón, Leopoldo Eduardo; Sarkar, Mitali; Singgih, Moses Laksono.

In: Journal of Manufacturing Systems, Vol. 33, No. 3, 07.2014, p. 423-435.

Research output: Contribution to journalArticle

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