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Titlebook: Advances in Distribution Logistics; Bernhard Fleischmann,Jo A. E. E. Nunen,Paul Stähly Conference proceedings 1998 Springer-Verlag Berlin

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Adolf Neckel,Christoph Fabjan,Kurt Seldenared; a wide variety of quantitative and qualitative criteria are considered and several parties with differing functional backgrounds and differing disciplines are involved. To reduce this complexity, we present a framework for logistics network design, which, as we have experienced, enhances the q
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Adolf Neckel,Christoph Fabjan,Kurt Seldene wanted. However, since the expectations of the customers vary, this service is generally offered under various forms that have names such as emergency orders, express orders, replenishment orders, stock orders, scheduled orders, etc..The evaluation of one such delivery service by the distribution
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https://doi.org/10.1007/978-3-642-25683-7mers to the selected depots and the product flow from the plants to the depots such that the total system cost is minimized. The total demand of all customers assigned to any depot can not exceed the capacity of that depot and the shipments from any plant to a depot must not exceed a given supply ca
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Chancen für die Erwerbsarbeit im Altere optimal product flow from plants to depots. To compute an optimal solution to the problem, . has been the preferred technique. In this paper, a . is proposed to produce good suboptimal solutions together with a lower bound. Lower bounds are computed from the . of the capacity constraints. The Lagr
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https://doi.org/10.1007/978-3-663-09481-4 with two stages (plant (s) → warehouses → clients) or a transshipment-point system with three stages (plant(s) → warehouses → transshipment-points→ clients). Both alternatives were formulated as Simple Plant Location Problems. For this model, the determination of the necessary data basis is describ
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