Download Retail Category Management: Decision Support Systems for by Alexander Hübner PDF

By Alexander Hübner

Retail shelf administration ability cost-efficiently aligning retail operations with shopper call for. As shoppers anticipate excessive product availability and coffee costs, and shops are continuously expanding product type and striving in the direction of excessive carrier degrees, the complexity of coping with retail enterprise and its operations is transforming into tremendously. shops have to fit buyer call for with shelf provide through balancing style (number of goods) and repair degrees (number of things of a product), and via optimizing call for and revenue via conscientiously calibrated costs. hence the center strategic judgements a shop needs to make contain collection sizes, shelf area project and pricing degrees. Rigorous quantitative equipment have emerged because the such a lot promising way to this challenge. the person chapters during this publication accordingly specialise in 3 components: (1) combining collection and shelf area making plans, (2) delivering effective choice aid platforms for essentially appropriate challenge sizes, and (3) integrating stock and cost optimization into shelf management.

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Additional info for Retail Category Management: Decision Support Systems for Assortment Shelf Space, Inventory and Price Planning

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Supplier warehouse, retailer warehouse, cross-docks, direct store delivery). , technologies for frozen, chilled and ambient products or material handling technologies for order picking systems, like pickerto-parts or parts-to-picker (Dallari et al. 2008). Furthermore, determining the layout structure of the order picking involves a trade-off between travel distance and the required space for the picking area (Roodbergen et al. 2008). The objective of internal design is in the most cases the minimization of handling costs represented by a function of travel distance (de Koster et al.

Research models predominately analyze layout planning with empirical studies (Iyer 1989; Turley and Milliman 2000; Lam 2001; Mattila and Wirtz 2008). Hui et al. (2009) developed a probability model for consumer behavior and derived implications for the design of retail space with simulations. 3 Mid-Term Master Planning Mid-term master planning utilizes the configuration design of the superior strategic planning and deals with the coordination and planning of aggregated operative units 6–12 months in advance.

2009). It will be shown that these planning problems are not yet sufficiently and comprehensively integrated in commercial software systems and scientific models. 2). We show that retail assortment planning models neglect to integrate space-elastic demand and partially the constraints of limited shelf space. Shelf space management streams also omit substitution effects between items, when products are delisted or out of stock, which is the focus of consumer choice models in assortment planning.

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