主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

Chinese Journal of Management Science ›› 2016, Vol. 24 ›› Issue (7): 63-71.doi: 10.16381/j.cnki.issn1003-207x.2016.07.008

• Articles • Previous Articles     Next Articles

Decision Analysis of Backup Supplier for Supply Disruptions with Stochastic Demand

LI Xin-jun1,2, WANG Jian-jun1, DA Qing-li3   

  1. 1. Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China;
    2. School of Economic and Management, Yantai University, Yantai 264005, China;
    3. School of Economic and Management, Southeast University, Nanjing 210096, China
  • Received:2014-10-09 Revised:2016-03-03 Published:2016-07-27

Abstract: During the last decade, to identify and mitigate supply disruptions is a topic that receives substantial management attention. Both diversifying supply sourcing including dual-sourcing and adding a backup supplier are logic ways to manage the risk of supply disruptions. There are two options execution modes. One is N mode that pushes ordering patterns, which means that the retailer orders from the backup supplier in advance under uncertain demand circumstances, the other is Y mode, push & pull ordering patterns, which means that the retailer doesn't order from backup suppliers until he knows the demand circumstance. It's successfully proved that the model is a convex programming through two options implementation strategy adopted by the retailer, and using Karush-Kuhn-Tucker conditions, a predetermined amount of backup suppliers, the closed expressions of optimal order quantity and profit expression can also be obtained. The threshold of using a backup supplier is given. By theorems and further numerical example, it can be concluded:Optimal profits is larger than primary supplier's while primary supplier has larger order quantities under N mode, under Y mode, backup supplier's capabilities predetermined amount. The impacts of model parameters on the ordering quantity from primary supplier are a little different based on the relative size of ce and c because of the execution of options. The capacity utilization of backup suppliers is highest when ce<c but lowest when ce>c under N mode, and it is in the middle level under Y mode. The retailer can obtain more profits under Y mode relative to under N mode as g, c and ce increase, or s and γ decrease.

Key words: backup supplier, supply disruptions, capacity options contract, KKT conditions, stochastic demand

CLC Number: