Production and raw material ordering management for a manufacturing supply chain with uncertainties

This paper considers the problem of joint production and raw material ordering management in a manufacturing supply chain with uncertain supply (due to information quality) and uncertain production (due to product quality). Several strategies are presented to improve the supply chain performance. Simulation method is used to compare the strategies with a case company's existing practice using realistic data. The scenario analysis demonstrates that relative merits exist for different strategies. It appears that safety production and safety ordering are necessary as the level of uncertainties increases.

[1]  Shib Sankar Sana,et al.  A production-inventory model of imperfect quality products in a three-layer supply chain , 2011, Decis. Support Syst..

[2]  Ajai S. Gaur,et al.  Buyer-Supplier Partnership Quality and Supply Chain Performance: Moderating Role of Risks, and Environmental Uncertainty , 2011 .

[3]  C. Terwiesch,et al.  The economics of yield-driven processes , 1999 .

[4]  He Xu Managing production and procurement through option contracts in supply chains with random yield , 2010 .

[5]  Stephan M. Wagner,et al.  AN EMPIRICAL EXAMINATION OF SUPPLY CHAIN PERFORMANCE ALONG SEVERAL DIMENSIONS OF RISK , 2008 .

[6]  Hokey Min,et al.  Supply chain modeling: past, present and future , 2002 .

[7]  Mahmoud M. Yasin,et al.  Organizational modifications to support JIT implementation in manufacturing and service operations , 2003 .

[8]  T. Davis Effective supply chain management , 2020, Strategic Direction.

[9]  Ma Fei-cheng An Incentive Model of Information Sharing in Supply Chain with Demand Uncertainty , 2010, IEEM 2010.

[10]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[11]  D. Marshall,et al.  Environmental uncertainty, supply chain relationship quality and performance , 2004 .

[12]  Stephen M. Disney,et al.  Production, Manufacturing and Logistics An integrated production and inventory model to dampen upstream demand variability in the supply chain , 2006 .

[13]  Ron S. Kenett,et al.  The impact of defects on a process with rework , 1995 .