Controllable lead time, service level constraint, and transportation discounts in a continuous review inventory model
RAIRO - Operations Research - Recherche Opérationnelle, Special issue - Advanced Optimization Approaches and Modern OR-Applications, Tome 50 (2016) no. 4-5, pp. 921-934.

This paper studies two models based on the distribution of lead time demand. The first model assumes a normally distributed lead time demand and the second assumes that there is no specific distribution for lead time demand, but it is with known mean and standard deviation. The continuous-review inventory model is used for both cases. Transportation cost is dependent on the ordered quantity i.e., how much quantity buyer orders for delivery, based on that, a transportation discount is used to reduce the total cost. Service level constraint is included in this model to avoid backorder cost. Two efficient lemmas are established to obtain the optimum solution of the model. The expected value of additional information (EVAI) is calculated to show the excess amount needed for the distribution free case. Some numerical examples and sensitivity analysis are given to illustrate the model.

Reçu le :
Accepté le :
DOI : 10.1051/ro/2015055
Classification : 90B05, 90B06
Mots-clés : Controllable lead time, service level constraint, lead time crashing cost, transportation discounts, distribution free approach
Shin, Dongmin 1 ; Guchhait, Rekha 2 ; Sarkar, Biswajit 1 ; Mittal, Mandeep 1, 3

1 Department of Industrial and Management Engineering, Hanyang University, Ansan Gyeonggi-do, 426791, South Korea.
2 Department of Mathematics and Statistics, Banasthali Vidyapith, Banasthali, 304022, Rajasthan, India.
3 Department of Computer Science and Engineering, Amity School of Engineering and Technology, 580 Delhi Palam Vihar Road, Bijwasan, 110061 New Delhi, India.
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Shin, Dongmin; Guchhait, Rekha; Sarkar, Biswajit; Mittal, Mandeep. Controllable lead time, service level constraint, and transportation discounts in a continuous review inventory model. RAIRO - Operations Research - Recherche Opérationnelle, Special issue - Advanced Optimization Approaches and Modern OR-Applications, Tome 50 (2016) no. 4-5, pp. 921-934. doi : 10.1051/ro/2015055. http://archive.numdam.org/articles/10.1051/ro/2015055/

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