Optimal inventory replenishment, production, and promotion effect with risks of production disruption and stochastic demand

Abstract This paper addresses the optimization problem for inventory replenishment, production, and promotion effect with risks of production disruption and stochastic demand for a production–retail system. Based on decentralized and centralized decision models, we obtain the optimal inventory replenishment and the promotional effort of the retailer, and the optimal production quantity of the manufacturer. In order to improve the decision effect of the decentralized model, then we propose two contracts to coordinate the system, they are called advance payment contract (APC) and buyback and minimum supply quantity contract (BMC). Numerical examples are given to illustrate the theoretical analysis, and managerial insights are derived. The results show that the advantage of BMC contract over the APC contract, that is, with the BMC coordination contract the decentralized decision model can obtain more profit than centralized decision model, while the APC has the same profit with the centralized decision model. Furthermore, for any value of production disruption risk factor, the whole profit of the system under BMC mechanism is always larger than the whole profit of the system under APC mechanism in decentralized decision model.

[1]  Christopher S. Tang Perspectives in supply chain risk management , 2006 .

[2]  Gérard P. Cachon Supply Chain Coordination with Contracts , 2003, Supply Chain Management.

[3]  Ata Allah Taleizadeh,et al.  Determining Replenishment Lot Size and Shipment Policy for an EPQ Inventory Model with Delivery and Rework , 2015 .

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

[5]  Mamata Jenamani,et al.  Sourcing decision under disruption risk with supply and demand uncertainty: A newsvendor approach , 2016, Ann. Oper. Res..

[6]  S. X. Zhu Dynamic replenishment, production, and pricing decisions in the face of supply disruption and random price-sensitive demand , 2013 .

[7]  Gérard P. Cachon,et al.  Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations , 2005, Manag. Sci..

[8]  B. Giri,et al.  A single-manufacturer multi-buyer supply chain inventory model with controllable lead time and price-sensitive demand , 2015 .

[9]  Yu-Chung Tsao,et al.  Effects of promotion cost sharing policy with the sales learning curve on supply chain coordination , 2012, Comput. Oper. Res..

[10]  Roman Kapuscinski,et al.  Coordinating Contracts for Decentralized Supply Chains with Retailer Promotional Effort , 2004, Manag. Sci..

[11]  Christopher S. Tang,et al.  Researchers' Perspectives on Supply Chain Risk Management , 2011 .

[12]  Xuan Zhao,et al.  Coordination in multi-echelon supply chain under supply and demand uncertainty , 2012 .

[13]  Jennifer Shang,et al.  Contract design for two-stage supply chain coordination: Integrating manufacturer-quality and retailer-marketing efforts , 2013 .

[14]  Tsan-Ming Choi,et al.  Price, Rebate, and Returns Supply Contracts for Coordinating Supply Chains with Price Dependent Demand , 2010 .

[15]  Leopoldo Eduardo Cárdenas-Barrón,et al.  Celebrating a century of the economic order quantity model in honor of Ford Whitman Harris , 2014 .

[16]  Saibal Ray,et al.  Supply Side Story: Risks, Guarantees, Competition and Information Asymmetry , 2010, Manag. Sci..

[17]  N. Oliver,et al.  Social Capital, Sensemaking, and Recovery: Japanese Companies and the 2011 Earthquake , 2014 .

[18]  Yuanjie He Sequential price and quantity decisions under supply and demand risks , 2013 .

[19]  Armin Jabbarzadeh,et al.  An enhanced robustness approach for managing supply and demand uncertainties , 2017 .

[20]  L. Cárdenas-Barrón,et al.  Multi-item EOQ inventory model in a two-layer supply chain while demand varies with promotional effort , 2015 .

[21]  W. K. Wong,et al.  Coordinating supply chains with sales rebate contracts and vendor-managed inventory , 2009 .

[22]  Ata Allah Taleizadeh,et al.  DETERMINING OPTIMAL PRICE, REPLENISHMENT LOT SIZE AND NUMBER OF SHIPMENTS FOR AN EPQ MODEL WITH REWORK AND MULTIPLE SHIPMENTS , 2015 .

[23]  Ali Akbar Shaikh,et al.  A two storage inventory model for deteriorating items with variable demand and partial backlogging , 2015 .

[24]  Y. Chen,et al.  Joint determination of inventory replenishment and sales effort with uncertain market responses , 2011 .

[25]  Wei Liu,et al.  Coordinating contracts for a three-lever logistics service supply chain , 2015 .

[26]  Tsung-Hui Chen,et al.  On the impact of cooperative advertising and pricing for a manufacturer-retailer supply chain , 2014 .

[27]  Chung Yee Lee,et al.  Joint optimization on pricing, promotion and inventory control with stochastic demand , 2008 .

[28]  Fikri Karaesmen,et al.  Newsvendor models with dependent random supply and demand , 2014, Optim. Lett..

[29]  Chang Hwan Lee,et al.  Coordination contracts in the presence of positive inventory financing costs , 2010 .

[30]  Arnd Huchzermeier,et al.  Operational Hedging and Diversification under Correlated Supply and Demand Uncertainty , 2014 .

[31]  Erbao Cao,et al.  Coordination of a supply chain with one manufacturer and multiple competing retailers under simultaneous demand and cost disruptions , 2013 .

[32]  Terry A. Taylor,et al.  Supply Chain Coordination Under Channel Rebates with Sales Effort Effects , 2002, Manag. Sci..