Issue |
RAIRO-Oper. Res.
Volume 52, Number 1, January–March 2018
|
|
---|---|---|
Page(s) | 217 - 239 | |
DOI | https://doi.org/10.1051/ro/2017070 | |
Published online | 30 May 2018 |
A fuzzy imperfect production and repair inventory model with time dependent demand, production and repair rates under inflationary conditions
1
Department of Mathematics, Sh. K.K.J. (PG) College,
Khatauli
251 201, India
2
The Logistics Institute – Asia Pacific, National University of Singapore,
21 Heng Mui Keng Terrace,
Singapore
119613, Singapore
3
School of Engineering and Sciences, Tecnológico de Monterrey,
E. Garza Sada 2501 Sur,
C.P. 64849
Monterrey,
Nuevo León, Mexico
4
Department of Mathematics, C.C.S. University,
Meerut
250 002, India
* Corresponding author: lecarden@itesm.mx
Received:
11
January
2017
Accepted:
5
October
2017
This research work derives an integrated inventory model for imperfect production/remanufacturing process with time varying demand, production and repair rates under inflationary environment. This inventory model deals with the joint manufacturing and remanufacturing options. There is a collection process devoted to collect used items with the aim to remanufacture them. Both production and repair runs generate imperfect items. The repair process remanufactures used and imperfect items. Further, it is also considered that the remanufactured item that is classified as good has exactly same quality as that of new one. Demand rate is supposed as time dependent. The production rate is assumed to be demand dependent and therefore it is also time dependent. The repair rate is supposed to be a function of time. All system costs are contemplated in uncertain environment. Therefore, the costs are considered as fuzzy nature. Theoretical results are illustrated thru a numerical example. Finally, a sensitivity analysis is performed in order to know the impact of different parameters on the optimal policy.
Mathematics Subject Classification: 90B05
Key words: Imperfect production / time dependent demand / production and repair rates / reverse logistics / inflation / fuzzy costs
© EDP Sciences, ROADEF, SMAI 2018
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