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Information Journal Paper

Title

Pricing and determining the optimal policy in multi-stage production systems with stochastic lead time, variable demand, partial backordering and failure rate

Pages

  190-203

Abstract

 This paper considers multi-period serial production systems with Periodic order quantity (POQ) policy, lead-time uncertainties and demand dependent to the price. It is assumed that actual lead-time for each stage is probabilistic with known distribution and ordering system is multi period. During the production at each stage, the items may be produced in a longer time than it was schedule, causing a delay in production at this stage and this may result in backorders of the finished product. It is assumed in this case that a fixed percentage of the shortage is backlogged and other sales are lost. The objective of this paper is to find the pricing of unit product, planned lead-time and periodicity with quantity (POQ) policy in order to maximize the total system profit.

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    APA: Copy

    Sadeghi, Heibatolah, & MAHMOODI, ANWAR. (2018). Pricing and determining the optimal policy in multi-stage production systems with stochastic lead time, variable demand, partial backordering and failure rate. DECISIONS AND OPERATIONS RESEARCH, 3(3 ), 190-203. SID. https://sid.ir/paper/268868/en

    Vancouver: Copy

    Sadeghi Heibatolah, MAHMOODI ANWAR. Pricing and determining the optimal policy in multi-stage production systems with stochastic lead time, variable demand, partial backordering and failure rate. DECISIONS AND OPERATIONS RESEARCH[Internet]. 2018;3(3 ):190-203. Available from: https://sid.ir/paper/268868/en

    IEEE: Copy

    Heibatolah Sadeghi, and ANWAR MAHMOODI, “Pricing and determining the optimal policy in multi-stage production systems with stochastic lead time, variable demand, partial backordering and failure rate,” DECISIONS AND OPERATIONS RESEARCH, vol. 3, no. 3 , pp. 190–203, 2018, [Online]. Available: https://sid.ir/paper/268868/en

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