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In this paper we study the manufacturer's optimal control policy on wholesale price and retailer's optimal control policies on both inventory and price in a supply chain of perishable goods, in which deterioration begins at a random point in time. Our research is completed under the assumption that the retail price can be adjusted once at that point in time by considering the lifetime of goods in...
In this paper, the Monte Carlo simulation method is applied to the economic evaluation of construction project. By using multi-element variation analysis method, we can directly deal with the uncertain risk elements and describe the uncertainty in the form of probability, after using the independent simulated tests on the economic evaluation project N times, we can get the results to predict and analyze...
In this paper, we considered a dynamic pricing problem for selling a given stock of perishable items during a finite sale season. We developed a partially observed Markov decision process model to study this problem. In particularly, belief states were adopted to deal with the uncertainty of demand. A Q-learning approach was designed to solve the problem of obtaining optimal dynamic pricing policy,...
More thoroughly understanding how interorganizational value can be created by relationship and bilateral behaviors is critical for supply chain management. Based primarily on partnership and supplemented by the channel view, this study investigates how interorganizational access flexibility fit can create relational quality (i.e., trust) and distribution performance in the supply chain context by...
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