Kapasite limitleri altında ürün çeşitliliği planlaması: Tekli ve transfer-satış kullanan çoklu bayi sistemleri

To survive in today's competitive market, firms need to meet customer expectations by off ering high quality products with high variety. However, there might be some physical and fi nancial constraints limiting the assortment size. The process of fi nding the optimal product assortment by considering both the bene fits of a large assortment as well as the costs and limits of it is known as assortment planning. In this thesis, assortment planning is analyzed under predetermined assortment capacity limits for two cases. First, a single fi rm's optimal assortment problem is studied to maximize its profi ts. Second, assortment planning problem of a system of multiple rms is investigated jointly, where fi rms are interacting through product sharing, called transshipments. Transshipments are known to increase product availability, thus decreasing stock-outs. Transshipments have been always utilized as an emergency demand satisfaction action in support of inventory management in the literature. Di erently, in this study, transshipments are evaluated in advance of inventory management while making the assortment planning of rms. In both problems, demand is de ned to have an exogenous model, where each customer has a predetermined preference for each product from the potential set. Proportional demand substitutions are also allowed from an out of assortment product to others. The results on the optimal assortment of a single rm are used as a benchmark to the optimal assortments of multiple rms communicating through transshipments. By relying on proven optimality results, it is shown how easily optimal assortments can be obtained compared to a full enumeration. Extensive numerical analyses are reported on the performances of the heuristic algorithm and sensitivity of optimal assortments to system parameters. Keywords: Assortment Planning, Capacity Constraint, Exogenous Demand Model,Substitution, Transshipment.