Integrating Replenishment Policy and Maintenance Services in a Stochastic Inventory System with Bilateral Movements
Yonit Barron ()
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Yonit Barron: Industrial Engineering and Management, Ariel University, Ariel 40700, Israel
Mathematics, 2023, vol. 11, issue 4, 1-35
Abstract:
We study an inventory control problem with two storage facilities: a primary warehouse (PW) of limited capacity M , and a subsidiary one (SW) of sufficiently large capacity. Two types of customers are considered: individual customers arriving at (positive and negative) linear rates governed by a Markov chain, and retailers arriving according to a Markov arrival process and bringing a (positive and negative) random number of items. The PW is managed according to a triple-parameter band policy ( M , S , s ) , 0 ≤ s < S ≤ M , under a lost sales assumption. Under this policy, as soon as the stock level at the PW falls below s , a refilling to S is performed by a distributor after a random lead-time. However, if the stock exceeds level S when the distributor arrives, no refilling is carried out, and only maintenance services are performed. Items that exceed level M are transferred to the SW at a negligible amount of time for those used in related products. Our cost structure includes a fixed order cost, a variable cost for each item supplied by the distributor, a cost for the additional maintenance, a salvage payment for each transferred item from the PW to the SW, and a loss cost for each unsatisfied item due to demands. We seek to determine the optimal thresholds that minimize the expected overall cost under the discounted criterion. Applying first-passage time results, we present a simple set of equations that provide managers with a useful and an efficient tool to derive the optimal thresholds. Sensitivity analysis and fruitful conclusions along with future scope of research directions are provided.
Keywords: inventory; band policy; MAP; Markov chain; first-passage times (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (4)
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