Pre‐storm emergency supplies inventory planning

Purpose – Planning inventories for emergency supplies such as bottled water, non‐perishable foods, batteries, and flashlights can be challenging for retailers situated within the projected path of a severe storm. The retailer's inventory decisions are complicated by the inherent volatility of storm forecasts and the corresponding demand predictions. The purpose of this paper is to explore both proactive and reactive inventory control policies within the context of probable pre‐storm demand surge for a fast‐moving emergency supply item, and identify the conditions that are most conducive to each strategy according to the minimax decision criterion.Design/methodology/approach – The inventory system is formulated based on an underlying economic order quantity framework. Minimax decision rules are developed analytically. Sensitivity analysis is facilitated by both analytic and numerical methods.Findings – The conditions that are conducive to a proactive ordering strategy are limited supplier flexibility, acut...

[1]  Xiangtong Qi,et al.  Disruption management in production planning , 2005 .

[2]  Luk N. Van Wassenhove,et al.  Humanitarian aid logistics: supply chain management in high gear , 2006, J. Oper. Res. Soc..

[3]  David F. Pyke,et al.  Inventory management and production planning and scheduling , 1998 .

[4]  Liang-Yuh Ouyang,et al.  A minimax distribution free procedure for mixed inventory model involving variable lead time with fuzzy demand , 2002, Comput. Oper. Res..

[5]  Nicole Dash,et al.  Evacuation Decision Making and Behavioral Responses: Individual and Household , 2007 .

[6]  Emmett J. Lodree,et al.  Supply chain planning for hurricane response with wind speed information updates , 2009, Comput. Oper. Res..

[7]  Emmett J. Lodree,et al.  Inventory decisions for emergency supplies based on hurricane count predictions , 2010 .

[8]  Emmett J. Lodree,et al.  An insurance risk management framework for disaster relief and supply chain disruption inventory planning , 2008, J. Oper. Res. Soc..

[9]  Tiaojun Xiao,et al.  Price competition, cost and demand disruptions and coordination of a supply chain with one manufacturer and two competing retailers , 2008 .

[10]  D. C. Whybark,et al.  Issues in managing disaster relief inventories , 2007 .

[11]  Caroline C. Krejci,et al.  Coordination in humanitarian relief chains: Practices, challenges and opportunities , 2010 .

[12]  Werner Jammernegg,et al.  Risk preferences and robust inventory decisions , 2009 .

[13]  Alexander Stepanov,et al.  Production , Manufacturing and Logistics Multi-objective evacuation routing in transportation networks , 2009 .

[14]  G. Kovács,et al.  Humanitarian logistics in disaster relief operations , 2007 .

[15]  J. Bard,et al.  Supply chain coordination with demand disruptions , 2004 .

[16]  Ford W. Harris,et al.  How Many Parts to Make at Once , 1990, Oper. Res..

[17]  Melvyn Sim,et al.  Robust Approximation to Multiperiod Inventory Management , 2010, Oper. Res..

[18]  Suresh P. Sethi,et al.  Optimality of (s, S) Policies in Inventory Models with Markovian Demand , 1995 .

[19]  Emmett J. Lodree,et al.  A Bayesian decision model with hurricane forecast updates for emergency supplies inventory management , 2011, J. Oper. Res. Soc..

[20]  Liang-Yuh Ouyang,et al.  A minimax distribution free procedure for mixed inventory models involving variable lead time with fuzzy lost sales , 2002 .

[21]  Vidyadhar G. Kulkarni,et al.  Optimal Inventory Policies Under Stochastic Production and Demand Rates , 2008 .

[22]  G. Gallego,et al.  The Distribution Free Newsboy Problem: Review and Extensions , 1993 .

[23]  Edward C. Rosenthal,et al.  Optimal ordering policies when anticipating a disruption in supply or demand , 1992 .

[24]  Benita M. Beamon,et al.  Inventory management support systems for emergency humanitarian relief operations in South Sudan , 2006 .

[25]  Tiaojun Xiao,et al.  Demand disruption and coordination of the supply chain with a dominant retailer , 2009, Eur. J. Oper. Res..

[26]  Making Hurricane Response More Effective: Lessons from the Private Sector and the Coast Guard During Katrina , 2008 .

[27]  Stephen A. Kotleba,et al.  Inventory modelling for complex emergencies in humanitarian relief operations , 2006 .

[28]  Esmail Mohebbi A production-inventory model with randomly changing environmental conditions , 2006, Eur. J. Oper. Res..

[29]  G A Bechtel,et al.  Disaster planning and resource allocation in health services. , 2000, Hospital materiel management quarterly.

[30]  Ronald L. Iman,et al.  Statistical Aspects of Forecasting and Planning for Hurricanes , 2006 .

[31]  Ben A. Chaouch,et al.  An EOQ model with random variations in demand , 1995 .

[32]  Gang Yu,et al.  Real-time disruption management in a two-stage production and inventory system , 2004 .

[33]  Kumar Rajaram,et al.  Joint pricing and inventory control with a Markovian demand model , 2007, Eur. J. Oper. Res..