Dual sourcing under heavy-tailed demand: an extreme value theory approach

We consider a single-period dual-sourcing problem in which a buyer purchases its products from two different suppliers and sells them to a market with uncertain demand. One supplier is cheaper but less responsive, whereas the other supplier is more responsive but more expensive. The buyer determines the order quantity from the low-cost supplier and the capacity level from the responsive supplier in such a way that maximises its profit. We apply extreme value theory to analyse the impact of tail heaviness of demand distribution on optimal dual-sourcing strategy. We numerically find that tail heaviness moderates the effect of increasing demand uncertainty on optimal order levels. We also show that dual sourcing allows companies to increase their fill rates cost effectively under heavy-tailed demand if the capacity reservation cost of the responsive supplier is relatively low.

[1]  James R. Bradley A Brownian Approximation of a Production-Inventory System with a Manufacturer That Subcontracts , 2004, Oper. Res..

[2]  Isik Bicer,et al.  Valuing quantity flexibility under supply chain disintermediation risk , 2016 .

[3]  Kyle D. Cattani,et al.  Lowest Cost May Not Lower Total Cost: Using “Spackling” to Smooth Mass‐Customized Production , 2010 .

[4]  Mihalis G. Markakis,et al.  Inventory Pooling Under Heavy-Tailed Demand , 2016, Manag. Sci..

[5]  Arnd Huchzermeier,et al.  Production , Manufacturing and Logistics Ensuring responsive capacity : How to contract with backup suppliers , 2010 .

[6]  Eric T. Anderson,et al.  Measuring and Mitigating the Costs of Stockouts , 2006, Manag. Sci..

[7]  R Stratton,et al.  The optimal quantity of quick response manufacturing for an onshore and offshore sourcing model , 2005 .

[8]  D. Heath,et al.  Modelling the evolution of demand forecasts with application to safety stock analysis in production distribution systems , 1994 .

[9]  S. Minner Multiple-supplier inventory models in supply chain management: A review , 2003 .

[10]  Arun Sundararajan,et al.  Recommendation Networks and the Long Tail of Electronic Commerce , 2010, MIS Q..

[11]  Yu Jeffrey Hu,et al.  From Niches to Riches: Anatomy of the Long Tail , 2006 .

[12]  Guillermo Gallego,et al.  Inventory management under highly uncertain demand , 2007, Oper. Res. Lett..

[13]  Ravi Anupindi,et al.  Analysis of supply contracts with total minimum commitment , 1997 .

[14]  Gp Gudrun Kiesmüller,et al.  A comparison of the constant-order and dual-index policy for dual sourcing , 2011 .

[15]  Alan Scheller-Wolf,et al.  Now or Later: A Simple Policy for Effective Dual Sourcing in Capacitated Systems , 2008, Oper. Res..

[16]  Dayton L. Jones,et al.  Matching Supply with Demand , 2006, Science's STKE.

[17]  Hau L. Lee,et al.  Decentralized Multi-Echelon Supply Chains: Incentives and Information , 1999 .

[18]  Amy Hing-Ling Lau,et al.  Decision models for single-period products with two ordering opportunities , 1998 .

[19]  J. Avery,et al.  The long tail. , 1995, Journal of the Tennessee Medical Association.

[20]  A. Chris,et al.  Long Tail: How Endless Choice is Creating Unlimited Demand, London: Random House. , 1996 .

[21]  Kyle D. Cattani,et al.  Tailored capacity: Speculative and reactive fabrication of fashion goods , 2008 .

[22]  S. Markose,et al.  The Generalized Extreme Value (GEV) Distribution, Implied Tail Index and Option Pricing , 2011 .

[23]  L. Trigeorgis,et al.  Real Options at the Interface of Finance and Operations: Exploiting Embedded Supply Chain Real Options to Gain Competitiveness , 2012 .

[24]  A. Tsay The Quantity Flexibility Contract and Supplier-Customer Incentives , 1999 .

[25]  Warren H. Hausman,et al.  Sequential Decision Problems: A Model to Exploit Existing Forecasters , 1969 .

[26]  G. Fitzsimons Consumer Response to Stockouts , 2000 .

[27]  Anantaram Balakrishnan,et al.  Integrating the Promotional and Service Roles of Retail Inventories , 2005, Manuf. Serv. Oper. Manag..

[28]  Marc Reimann,et al.  Speculative production and anticipative reservation of reactive capacity by a multi-product newsvendor , 2011, Eur. J. Oper. Res..

[29]  Sridhar Seshadri,et al.  New Policies for the Stochastic Inventory Control Problem with Two Supply Sources , 2010, Oper. Res..

[30]  Panagiotis Kouvelis,et al.  Order Quantity and Timing Flexibility in Supply Chains: The Role of Demand Characteristics , 2005, Manag. Sci..

[31]  Christoph H. Glock,et al.  A comparison of alternative delivery structures in a dual sourcing environment , 2012 .

[32]  Stephen C. Graves,et al.  A Dynamic Model for Requirements Planning with Application to Supply Chain Optimization , 1998, Oper. Res..

[33]  Marshall L. Fisher,et al.  Reducing the Cost of Demand Uncertainty Through Accurate Response to Early Sales , 1996, Oper. Res..

[34]  Eric P. Smith,et al.  An Introduction to Statistical Modeling of Extreme Values , 2002, Technometrics.

[35]  Feryal Erhun,et al.  Relating the multiple supply problem to quantity flexibility contracts , 2007, Oper. Res. Lett..

[36]  M. Fu,et al.  Optimization of( s, S ) inventory systems with random lead times and a service level constraint , 1998 .

[37]  Erik Brynjolfsson,et al.  Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales , 2011, Manag. Sci..

[38]  Özalp Özer,et al.  Information Acquisition for Capacity Planning via Pricing and Advance Selling: When to Stop and Act? , 2009, Oper. Res..

[39]  P. Embrechts,et al.  Quantitative models for operational risk: Extremes, dependence and aggregation , 2006 .

[40]  Lenos Trigeorgis,et al.  Optimal Sourcing and Lead-Time Reduction under Evolutionary Demand Risk , 2014 .

[41]  Xuanming Su,et al.  On the Value of Commitment and Availability Guarantees when Selling to Strategic Consumers , 2008, Manag. Sci..

[42]  Gad Allon,et al.  Global Dual Sourcing: Tailored Base-Surge Allocation to Near- and Offshore Production , 2010, Manag. Sci..

[43]  Christoph H. Glock,et al.  Reducing lead time risk through multiple sourcing: the case of stochastic demand and variable lead time , 2013 .

[44]  R. Jarrow,et al.  APPROXIMATE OPTION VALUATION FOR ARBITRARY STOCHASTIC PROCESSES , 1982 .

[45]  Kemal Guler,et al.  A Copula Approach to Inventory Pooling Problems with Newsvendor Products , 2012 .

[46]  Stefan Wager,et al.  Valuing Lead Time , 2013 .

[47]  Maqbool Dada,et al.  Sourcing decisions with capacity reservation contracts , 2001, Eur. J. Oper. Res..

[48]  Ulrich Wilhelm Thonemann,et al.  Optimal procurement strategies for online spot markets , 2004, Eur. J. Oper. Res..