Effects of Yield and Lead-Time Uncertainty on Retailer-Managed and Vendor-Managed Inventory Management

Generally, there are various elements of uncertainty in a supply chain. In particular, uncertainties in lead time, demand, and yield are very important in the semiconductor industry. Higher uncertainty can lead to bullwhip effects that can undermine the performance of the entire supply chain. This study examines the relationship between uncertainty in the supply chain and the outcome of inventory replenishment policies. Specifically, we analyze the effects of well-known uncertainties on manufacturer production quantity and retailer order quantity decisions in a decentralized supply chain. In addition, we also analyze and compare the effects of these uncertainties for the retailer-managed inventory and the vendor-managed inventory policies. Using numerical experiments, a comparative analysis of the two alternatives is conducted to determine suitable options for improving supply chain performance. In general, the performance of vendor-managed inventory is better than that of retailer-managed inventory, but we observe from the numerical experiments that there exist circumstances under which retailer-managed inventory shows better supply chain performance.

[1]  S. K. Chaharsooghi,et al.  LT variance or LT mean reduction in supply chain management: Which one has a higher impact on SC performance? , 2010 .

[2]  S. S. Mahapatra,et al.  An improved demand forecasting method to reduce bullwhip effect in supply chains , 2014, Expert Syst. Appl..

[3]  Taesu Cheong,et al.  Sustainable EOQ under Lead-Time Uncertainty and Multi-Modal Transport , 2017 .

[4]  Vineet Padmanabhan,et al.  Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect" , 1997, Manag. Sci..

[5]  R. M. Gardner,et al.  Solving tough semiconductor manufacturing problems using data mining , 2000, 2000 IEEE/SEMI Advanced Semiconductor Manufacturing Conference and Workshop. ASMC 2000 (Cat. No.00CH37072).

[6]  Desheng Dash Wu,et al.  Single-period inventory model for one-level assembly system with stochastic lead times and demand , 2016 .

[7]  Jui-Lin Wang,et al.  A comparison of bullwhip effect in a single-stage supply chain for autocorrelated demands when using Correct, MA, and EWMA methods , 2010, Expert Syst. Appl..

[8]  Jing-Sheng Song,et al.  The Effect of Lead Time and Demand Uncertainties in (r, q) Inventory Systems , 2010, Oper. Res..

[9]  Douglas C. Montgomery,et al.  A review of yield modelling techniques for semiconductor manufacturing , 2006 .

[10]  Hau L. Lee,et al.  Xilinx Improves Its Semiconductor Supply Chain Using Product and Process Postponement , 2000, Interfaces.

[11]  Brahim Chaib-draa,et al.  Information Sharing as a Coordination Mechanism for Reducing the Bullwhip Effect in a Supply Chain , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[12]  Chong Li,et al.  Controlling the bullwhip effect in a supply chain system with constrained information flows , 2013 .

[13]  B. Keren The single-period inventory problem: Extension to random yield from the perspective of the supply chain , 2009 .

[14]  Divesh Ojha,et al.  Is there a performance tradeoff in managing order fulfillment and the bullwhip effect in supply chains? The role of information sharing and information type , 2019, International Journal of Production Economics.

[15]  M. G. Güler Coordinating decentralised assembly systems with random yield and random demand , 2015 .

[16]  Diwakar Gupta,et al.  Stochastic Comparisons in Production Yield Management , 2005, Oper. Res..

[17]  Xiaoqiang Cai,et al.  A note on the random yield from the perspective of the supply chain , 2012 .

[18]  Yavuz Acar,et al.  A decision support framework for global supply chain modelling: an assessment of the impact of demand, supply and lead-time uncertainties on performance , 2010 .

[19]  Stephen Michael Disney,et al.  The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains , 2003 .

[20]  Chung Kwan Shin,et al.  A machine learning approach to yield management in semiconductor manufacturing , 2000 .

[21]  Giulio Zotteri,et al.  An empirical investigation on causes and effects of the Bullwhip-effect: Evidence from the personal care sector , 2013 .