A single-stage cleaner production system with random defective rate and remanufacturing

Biswajit Sarkar, Bikash Koli Dey, Sarla Pareek, Mitali Sarkar

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This paper investigates an impact of random defective rates in an imperfect production system with multiple products and planned backorders in a single-stage production system. The purpose of this study is to control a single-stage cleaner production system with a random defective rate for multiple products. Considering these, the model becomes a non-linear constraint problem. Based on different distribution functions of random defective rates, to eliminate the defective items from the system, five special cases for effective system management are considered. A non-linear optimization technique is utilized to solve the model and obtain the global optimum solution of cleaner production system with multiple products and a global optimum solution. Numerical examples, graphical representations, and sensitivity analysis are given to illustrate the model. Numerical studies prove that the cost related with a Chi-square distribution gives the least cost and cost related with a beta distribution gives the maximum cost, whereas the literature shows a triangular distribution gives the minimum cost.

Original languageEnglish
Article number106861
JournalComputers and Industrial Engineering
Volume150
DOIs
Publication statusPublished - 2020 Dec

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

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