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 language | English |
|---|---|
| Pages (from-to) | 819-837 |
| Number of pages | 19 |
| Journal | RAIRO - Operations Research |
| Volume | 52 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2018 Jul 1 |
Bibliographical note
Funding Information:Acknowledgements. This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (Project Number: 2017R1D1A1B03033846).
Publisher Copyright:
© 2018 EDP Sciences, ROADEF, SMAI.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science Applications
- Management Science and Operations Research