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  • 1
    Electronic Resource
    Electronic Resource
    Multiperiod Capacity Expansion in Globally Dispersed Regions (2000)
    Oxford, UK : Blackwell Publishing Ltd
    Decision sciences 31 (2000), S. 0 
    Details
    ISSN: 1540-5915
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Economics
    Notes: Multiperiod capacitated location (MCL) models specify where and when capacity expansions should be made, and how large they should be. The MCL model developed in this paper incorporates a shift from manufacturing for overseas markets to manufacturing in overseas markets. While MCL models generally have not provided lower bounds on the optimal solution, the methodology of this paper provides both upper and lower bounds. Computational results are given for problems involving up to 200 locations/destinations and 10-year planning horizons. Near-optimal solutions are provided in reasonable computing times with average convergence less than 2%. Representative variations in cost between regions are simulated in the test problems, and the managerial implications of alternative diversification strategies are also assessed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1540-5915.2000.tb00929.x
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    A Heuristic Algorithm for the Capacitated Multiple Supplier Inventory Grouping Problem (1996)
    Oxford, UK : Blackwell Publishing Ltd
    Decision sciences 27 (1996), S. 0 
    Details
    ISSN: 1540-5915
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Economics
    Notes: This paper presents and solves a model for the multiple supplier inventory grouping problem, which involves the minimization of logistics costs for a firm that has multiple suppliers with capacity limitations. The costs included in the model are purchasing, transportation, ordering, and inventory holding, while the firm's objective is to determine the optimal flows and groups of commodities from each supplier. We present an algorithm, which combines subgradient optimization and a primal heuristic, to quickly solve the multiple supplier inventory grouping problem. Our algorithm is tested extensively on problems of various sizes and structures, and its performance is compared to that of OSL, a state-of-the-art integer programming code. The computational results indicate that our approach is extremely efficient for solving the multiple supplier inventory grouping problem.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1540-5915.1996.tb01832.x
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
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