Issue |
RAIRO-Oper. Res.
Volume 53, Number 1, January–March 2019
|
|
---|---|---|
Page(s) | 39 - 57 | |
DOI | https://doi.org/10.1051/ro/2018009 | |
Published online | 21 January 2019 |
Regular Article
An integrated inventory model involving discrete setup cost reduction, variable safety factor, selling price dependent demand, and investment
1
Department of Mathematics & Statistics, Banasthali Vidyapith,
Banasthali,
Rajasthan
304022, India
2
Production Engineering & Operations Management Laboratory, Department of Industrial & Management Engineering, Hanyang University,
Ansan Gyeonggi-do
15588, South Korea
* Corresponding author: bsbiswajitsarkar@gmail.com
Received:
22
August
2017
Accepted:
31
January
2018
This paper develops a sustainable integrated inventory model for maximizing profit with a controllable lead time, discrete setup cost reduction, and consideration of environmental issues. Contrary to the available literature, this paper considers a discrete setup cost for the vendor, thus making the integrated model sustainable. The customer’s demand is assumed to be selling-price dependent to increase the number of sales, and the lead time demand follows a Poisson distribution. The integrated model is used to optimized the total shipment number, volume of shipments, safety factor, investments, selling-price, and probability of moving between the “in-control” to “out-of-control” states. An algorithm is developed to obtain the numerical results. Numerical examples and sensitivity analyses are given to illustrate the model.
Mathematics Subject Classification: 90B05 / 90B06
Key words: Discrete setup cost reduction / Poisson distributed leadtime / variable safety factor / selling-price-dependent demand / shortage
© EDP Sciences, ROADEF, SMAI 2019
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.