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Titlebook: Operations Research Proceedings 2003; Selected Papers of t Dino Ahr,Roland Fahrion,Gerhard Reinelt Conference proceedings 2004 Springer-Ver

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樓主: Auditory-Nerve
41#
發(fā)表于 2025-3-28 15:22:21 | 只看該作者
Artikelanordnungsmuster bei Mann-zur-Ware-Kommissionierunglatzlagerung einem chaotischen Lager vorzuziehen ist und dass durch die Wahl bestimmter Artikelanordnungsmuster in Abh?ngigkeit von der verwendeten Routingstrategie Vorteile durch reduzierte Kommissionierwege erzielt werden k?nnen.
42#
發(fā)表于 2025-3-28 22:13:25 | 只看該作者
43#
發(fā)表于 2025-3-29 01:23:15 | 只看該作者
44#
發(fā)表于 2025-3-29 04:21:27 | 只看該作者
Dynamic Multi-Commodity Facility Location: A Mathematical Modeling Framework for Strategic Supply Chtion opportunities for goods, facility configuration, budget constraints, and storage limitations. Moreover, the gradual relocation of facilities over the planning horizon is considered. A generic mathematical programming model is described in detail and several extensions are discussed.
45#
發(fā)表于 2025-3-29 08:18:41 | 只看該作者
Convexification of the Traffic Equilibrium Problem with Social Marginal Cost Tollses of the optimal value. In this paper we derive the convex hull of nonconvex arc cost functions of BPR type. These convexifications can be used to get underestimates of the optimal value, or to get better search directions in the initial phase of the Frank-Wolfe method. Computational results for the Sioux Falls and Stockholm networks are reported
46#
發(fā)表于 2025-3-29 12:15:37 | 只看該作者
A Priority-Rule Based Method for Batch Production Scheduling in the Process Industriesin operations and before any idle time. Due to the constraints on material availability and storage capacity, classical schedule-generation schemes cannot be applied to this problem. That is why we propose a new two-phase approach dealing with the two types of constraints separately.
47#
發(fā)表于 2025-3-29 18:37:54 | 只看該作者
48#
發(fā)表于 2025-3-29 20:14:34 | 只看該作者
49#
發(fā)表于 2025-3-30 02:29:38 | 只看該作者
50#
發(fā)表于 2025-3-30 05:56:27 | 只看該作者
A Metaheuristic Approach for Hazardous Materials Transportation, given a set of dissimilar routes for every origin-destination pair, selects a route and defines a departure time for every shipment with the aim of minimizing the total risk of the travel plans. The genetic algorithm is experimentally evaluated on a set of realistic scenarios defined on a regional area.
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