Isbn: 9783659170706 - optimization models for solving lot-sizing problems (3 resultados)

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  • Idioma: Inglés

    Editorial: LAP Lambert Academic Publishing, 2012

    3659170704 / 9783659170706

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Condición: Nuevo

    EUR 66,50

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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. Optimization Models for Solving Lot-Sizing Problems | A Study in Mixed Integer Programming with Feasible Solutions | Maryam Mohammadi (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659170706 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2012

    3659170704 / 9783659170706

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    Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

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    Condición: Usado - Como Nuevo

    EUR 176,95

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    Cantidad disponible: 1 disponible

    Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Idioma: Inglés

    Editorial: LAP Lambert Academic Publishing, 2012

    3659170704 / 9783659170706

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    • Impresión bajo demanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 79,95

    Envío por EUR 35,00 
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    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, a mixed integer programming (MIP) model formulation has been proposed to find out the optimum order quantity, optimum order time, and the minimum total cost of purchasing, ordering, and holding over the predefined planning horizon. Several forecasting techniques have been used to determine future demands. As in reality the price is not always stable, the prices of the parts were estimated. The companies also need an adequate amount of safety stock on hand to avoid stock-outs due to the uncertainty in demand; therefore, optimal safety stock for each part was calculated based on variance in demand, lead time and the target service level. Material requirements planning (MRP) was also done to obtain the economic purchasing schedule of parts. GAMS software was used to validate the model. Accordingly, the model was utilized to find out the optimum solutions of the lot sizing problem using LINGO software.…