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Postponed product differentiation with demand information update

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  • Zhang, Juliang
  • Shou, Biying
  • Chen, Jian

Abstract

This paper studies the problem of how to coordinate postponed product differentiation and forecast update to improve manufacturing efficiency. We consider a two-stage model of multiple products with a common component. In stage 1, the manager obtains a prior demand distribution of each product and decides the production quantity of the common component. In stage 2, the demand forecast is updated and the common component is differentiated into various final products. Then the final demand of each product is realized and inventory leftover (shortage) is assessed. We use stochastic programming to model this problem, and propose an optimal bundle-type algorithm to solve it. Furthermore, we develop some simple and effective approximation algorithms for several special cases. Extensive numerical experiments are conducted to show the effectiveness of the approximation algorithms, to compare the performance between the traditional production model and the postponement production model, and to examine the impact of parameters on the performances of the two systems.

Suggested Citation

  • Zhang, Juliang & Shou, Biying & Chen, Jian, 2013. "Postponed product differentiation with demand information update," International Journal of Production Economics, Elsevier, vol. 141(2), pages 529-540.
    • Handle: RePEc:eee:proeco:v:141:y:2013:i:2:p:529-540
    DOI: 10.1016/j.ijpe.2012.09.007
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    References listed on IDEAS

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    7. Weihua Liu & Shuqing Wang & DongLei Zhu & Di Wang & Xinran Shen, 2018. "Order allocation of logistics service supply chain with fairness concern and demand updating: model analysis and empirical examination," Annals of Operations Research, Springer, vol. 268(1), pages 177-213, September.

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