A novel approach to safety stock management in a coordinated supply chain with controllable lead time using present value

This paper considers the management of safety stock in a coordinated single-vendor single-buyer supply chain under continuous review and Gaussian lead-time demand. The lead time is supposed controllable, and shortages are not allowed. We follow the present value criterion by considering both inflation and time value of money. Our aim is to present a novel approach to optimizing the safety stock in such system. Under the conditions considered, the safety stock is typically determined according to the value assigned to the safety factor, which is thus treated as a parameter of the model, and not as a decision variable. In this paper, we take a different perspective by putting the order quantity and the safety factor in functional dependence through the adoption of a specific parameter. More precisely, we express the service level as a function of the number of admissible stockouts per time unit and the order quantity. This allows optimizing the safety stock taking into account the constraint on the number of admissible stockouts per time unit. We present both exact and approximated minimization algorithms. Numerical examples are finally shown to illustrate the effectiveness of the approximation algorithm, and to investigate the sensitivity of the model with respect to variations in some fundamental parameters. Copyright © 2015 John Wiley & Sons, Ltd.

[1]  Erwin van der Laan,et al.  The Discovery of New Export Products in Ecuador , 2010 .

[2]  Fei Ye,et al.  Supply chain coordination model with controllable lead time and service level constraint , 2011, Comput. Ind. Eng..

[3]  H. Abdelsalam,et al.  Joint economic lot sizing problem for a three—Layer supply chain with stochastic demand , 2014 .

[4]  Gino K. Yang,et al.  Inventory models with variable lead time and present value , 2005, Eur. J. Oper. Res..

[5]  Moncer Hariga,et al.  Setup cost reduction in (Q, r) policy with lot size, setup time and lead-time interactions , 2000, J. Oper. Res. Soc..

[6]  R. Freund,et al.  Tractable ( Q, R ) heuristic models for constrained service levels , 1997 .

[7]  Christoph H. Glock,et al.  Optimizing inventory and sales decisions in a two-stage supply chain with imperfect production and backorders , 2014, Comput. Ind. Eng..

[8]  S. Singh,et al.  VENDOR-BUYERS RELATIONSHIP MODEL FOR DETERIORATING ITEMS WITH SHORTAGES, FUZZY TRAPEZOIDAL COSTS AND INFLATION , 2013 .

[9]  N. Singh,et al.  JOINT COST MINIMIZATION APPROACH FOR THREE ECHELON SUPPLY CHAIN SYSTEM WITH MULTIPLE BUYERS UNDER INFLATION , 2014 .

[10]  Shu-Lu Hsu,et al.  An integrated inventory model with controllable lead time and distribution-free demand , 2010 .

[11]  Barun Das,et al.  Integrated supply chain model for a deteriorating item with procurement cost dependent credit period , 2013, Comput. Ind. Eng..

[12]  Mohamad Y. Jaber,et al.  An integrated supply chain model with errors in quality inspection and learning in production , 2014 .

[13]  C. Glock The joint economic lot size problem: A review , 2012 .

[14]  Biswajit Sarkar,et al.  An integrated inventory model with variable lead time, defective units and delay in payments , 2014, Appl. Math. Comput..

[15]  L. Ouyang,et al.  Integrated vendor–buyer cooperative models with stochastic demand in controllable lead time , 2004 .

[16]  Ilkyeong Moon,et al.  Min-max distribution free continuous-review model with a service level constraint and variable lead time , 2014, Appl. Math. Comput..

[17]  Kripa Shanker,et al.  Two-echelon supply chain inventory model with controllable lead time and service level constraint , 2009, Comput. Ind. Eng..

[18]  Hsien-Jen Lin,et al.  Reducing lost-sales rate on the stochastic inventory model with defective goods for the mixtures of distributions , 2013 .

[19]  B. Suman,et al.  A survey of simulated annealing as a tool for single and multiobjective optimization , 2006, J. Oper. Res. Soc..

[20]  Alain Bensoussan,et al.  Optimizing production and inventory decisions in a supply chain with lot size, production rate and lead time interactions , 2013, Appl. Math. Comput..

[21]  Ming-Feng Yang,et al.  Supply chain integrated inventory model with present value and dependent crashing cost is polynomial , 2010, Math. Comput. Model..

[22]  M. Frosolini,et al.  Safety stock management in single vendor–single buyer problem under VMI with consignment stock agreement , 2014 .

[23]  Dean H. Kropp,et al.  Effective and simple EOQ-like solutions for stochastic demand periodic review systems , 2007, Eur. J. Oper. Res..

[24]  Suresh Kumar Goyal,et al.  An integrated inventory model for a single supplier-single customer problem , 1977 .

[25]  Maurice Queyranne,et al.  Production and Inventory Model Using Net Present Value , 2002, Oper. Res..

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

[27]  L. Cárdenas-Barrón,et al.  A production-inventory model for a two-echelon supply chain when demand is dependent on sales teams׳ initiatives , 2014 .

[28]  Hung-Chi Chang An analysis of production-inventory models with deteriorating items in a two-echelon supply chain , 2014 .

[29]  Christoph H. Glock,et al.  Lead time reduction strategies in a single-vendor–single-buyer integrated inventory model with lot size-dependent lead times and stochastic demand , 2012 .

[30]  Inventory management with variable lead-time dependent procurement cost , 2008, IEEE Engineering Management Review.

[31]  S. R. Singh,et al.  Three stage supply chain model with two warehouse, imperfect production, variable demand rate and inflation , 2013 .

[32]  Paul H. Zipkin,et al.  Foundations of Inventory Management , 2000 .

[33]  An integrated inventory model with fuzzy variables, three-parameter Weibull deterioration and variable holding cost under inflation , 2013 .

[34]  R. W. D. Nickalls The quartic equation: invariants and Euler's solution revealed , 2009, The Mathematical Gazette.

[36]  Yu-Jen Lin,et al.  Supply chain coordination with defective items and quantity discount , 2014, Int. J. Syst. Sci..

[37]  S.M.T. Fatemi Ghomi,et al.  Enhanced joint pricing and lotsizing problem in a two-echelon supply chain with logit demand function , 2014 .

[38]  Liang-Yuh Ouyang,et al.  Integrated vendor-buyer cooperative inventory models with controllable lead time and ordering cost reduction , 2006, Eur. J. Oper. Res..