Research On Two-warehouse Inventory Optimization And Supply Chain Coordination For A Short-life-cycle Product

With the development of economy and the improvement of technology, short life cycle has become an important feature in modern product market. Compared to a common product demand, a short-life-cycle product demand is more sensitive to the marketing methods and the marketing ideas, meanwhile, the inventory management on the short-life-cycle product is also more dependent on information technology. All of these will directly affect the enterprise operation and the cooperation between enterprises. In view of this, based on the different demand forms, this thesis investigates some problems on inventory control and coordination mechanism for a short-life-cycle product.In this thesis, supply chain operation decisions are explored from two aspects, such as, the determining(time-varying) setting and the stochastic setting. To be specific, in the deterministic setting, two-warehouse inventory decision problems are studied by considering two different demand forms, such as, the time-varying trapezoidal demand, and the stock-dependent demand; in stochastic setting, supply chain optimization and coordination are investigated under two different cases, such as, the customer demand is jointly affected by low carbon preference and sales price, and inventory inaccuracies(stock shrinkage). The details and results are listed as follows:(1) Firstly, a two-warehouse inventory model is developed for single product with trapezoidal type demand. Shortages are allowed with partial backlogging rate of unsatisfied demand, which is exponential function of the waiting time up to the next replenishment. The model with the goal of minimizing the total average cost is investigated. The existence and uniqueness of optimal replenishment policy are proved, and then a simply solution procedure for optimal strategy is given. Numerical examples and sensitivity analyses are presented to illustrate the developed model. Further more, by using the similar to the above mentioned solution procedure, we point out and amend some errors in Cheng et al.’s model, and then we reanalyze the properties of their model and derive a new optimal inventory replenishment policy. Finally, several numerical examples are given to illustrate the model.(2) Then, a two-warehouse inventory problem is investigated for a single product with stock-dependent selling rate, which is linearly dependent on current stock level. Shortages are not allowed. The decision model with the goal of maximizing the total average profit is developed, the existence and uniqueness of optimal replenishment policy are showed, and then a simply solution procedure for optimal strategy is given. Finally,we compare two-warehouse inventory models with two different forms of stock-dependent selling rate, such as, linear function of current stock level and power function of stock level, and discuss the effects of the two different demand on the inventory optimal strategies in both the rented warehouse and the owned warehouse. We provide some numerical examples and sensitivity analyses for illustrating the two different inventory models.(3) Furthermore, based on three different contracts(i.e. consignment, revenue sharing, and revenue sharing with reduction-cost-sharing), decision models are developed in supply chain, which consists of a low carbon manufacturer and a retailer, and meanwhile the customer demand is affected by emissions reduction level and selling price, furthermore, assuming that the deterministic component of the demand is linear form and the random component of the demand follows a uniform distribution, the optimal decisions are explored under centralized and decentralized systems respectively. Finally, sensitivity analyses are given for illustrating the above theoretical results, and we analyze the effects of different parameters(i.e., a fraction of sale revenue and the retailer’s propaganda promotion, etc.) on the coordination of supply chain’s performance under the revenue sharing with reduction-cost-sharing contract.(4) Finally, under conditional value-at-risk(CVa R) criterion, optimization and coordination of retail supply chain with item-level RFID and price dependent stochastic demand rate discussed. We investigates the RFID is applied to improve product availability in the retail supply chain, which consists of a risk-neutral manufacturer and a risk-averse retailer. Under CVa R criterion, we consider the centralized models with price dependent stochastic demand to seek optimal decisions in both RFID case and no RFID case, and give a sufficient condition to judge whether to adopt for assessing the benefit of item-level RFID. Furthermore, we focus on analyzing two traditional contract types including wholesale price contact and revenue sharing contract. Finally, we further explore the impact of the retailer’s risk attitude, non-sale inventory shrinkage rate, demand uncertainty, price-elasticity index of the demand, and RFID tag cost on the total supply chain’s profit with coordination for getting more insights.