4.7 Article

Diversification strategy with random yield suppliers for a mean-variance risk-sensitive manufacturer

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2016.01.013

关键词

Risk analysis; Inventory control; Supplier selection; Random yield; Mean-variance analysis; Newsvendor problem

资金

  1. National Natural Science Foundation of China (NSFC) [71001073, 71301023, 71390333, 71471118]
  2. Humanities and Social Sciences Foundation of Ministry of Education of China [13YJC630197, 14YJC630096]
  3. Distinguished University Young Scholar Program of Guangdong Province [Yq2013140]
  4. Basic Research Foundation (Natural Science) of Jiangsu Province [BK20130582]
  5. RGC(HK)-GRF [PolyU5421/12H]

向作者/读者索取更多资源

We consider the diversification strategy for a mean-variance risk-sensitive manufacturer with unreliable suppliers. We first analyze the linear model and find that the suppliers are selected according to the descending order of their contributed marginal expected profit, and increasing the manufacturer's risk-averseness leads to a more even allocation of demand across the suppliers. Then, we study the general newsvendor model. By approximating the leftover inventory with a normal distribution, we establish the general properties of the active supplier set and show that the supplier selection rule is similar to that under the risk-neutral setting when the demand uncertainty is large. Moreover, we conjecture that the selection rule also applies when the demand uncertainty is low, which we verify with an extensive numerical study. Our paper makes two contributions: First, we establish the properties of the optimal diversification strategy and develop corresponding insights into the trade off between cost and reliability under the mean-variance framework. Second, we perform comparative statics on the optimal solution, with a particular emphasis on investigating how changes in the supplier's cost or reliability affect the risk-averse manufacturer's ordering decisions and customer service level. (C) 2016 Elsevier Ltd. All rights reserved.

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