Isbn: 9781032603148 - supply chain analytics: principles and applications (16 risultati)

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  • Lingua: Inglese

    Editore: CRC Press, 2025

    1032603143 / 9781032603148

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  • Lingua: Inglese

    Editore: CRC Press, 2025

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  • Lingua: Inglese

    Editore: CRC Press, 2025

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  • Lingua: Inglese

    Editore: CRC Press, 2025

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  • Lingua: Inglese

    Editore: CRC Press, 2025

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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  • Lingua: Inglese

    Editore: CRC Press, 2025

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    Condizione: New. 1st edition NO-PA16APR2015-KAP.

  • Lingua: Inglese

    Editore: CRC Press, 2025

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    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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  • Lingua: Inglese

    Editore: CRC Press, 2025

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  • Lingua: Inglese

    Editore: CRC Press, 2025

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, 2025

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    Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE

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    Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

  • Lingua: Inglese

    Editore: TAYLOR & FRANCIS NP, 2026

    1032603143 / 9781032603148

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    Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

  • Lingua: Inglese

    Editore: CRC Pr I Llc, 2025

    1032603143 / 9781032603148

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    Hardcover. Condizione: Brand New. 408 pages. 9.18x6.12x9.45 inches. In Stock.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2025

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    Hardcover. Condizione: new. Hardcover. This reference text resolves problems of physical products, information, and financial transactions by using mathematical and statistical tools to provide robust and validated solutions to real-world problems of the supply chain. It further discusses important concepts such as supply chain segmentation, constrained and unconstrained optimization, time series analysis, double exponential smoothing, and demand probability distributions.This book:Discusses inventory replenishment models including economic order quantity (EOQ), and economic production quantity (EPQ).Explains different mathematical and analytical models applied frequently depending on the supply chain problem. Covers important topics such as linear, integer, and mixed integer programming. Demonstrates how the variation in demand with time follows certain patterns which can be seasonal, cyclical, trend, and random. Highlights forecasting methods, namely, cumulative, naive, moving averages, and exponential smoothing.It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of manufacturing engineering, industrial engineering, supply chain management, mechanical engineering, and production engineering. This book resolves problems of physical products, information, and financial transactions by using mathematical and statistical tools to provide robust and validated solutions to real-world problems of the supply chain. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2025

    1032603143 / 9781032603148

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    Hardcover. Condizione: new. Hardcover. This reference text resolves problems of physical products, information, and financial transactions by using mathematical and statistical tools to provide robust and validated solutions to real-world problems of the supply chain. It further discusses important concepts such as supply chain segmentation, constrained and unconstrained optimization, time series analysis, double exponential smoothing, and demand probability distributions.This book:Discusses inventory replenishment models including economic order quantity (EOQ), and economic production quantity (EPQ).Explains different mathematical and analytical models applied frequently depending on the supply chain problem. Covers important topics such as linear, integer, and mixed integer programming. Demonstrates how the variation in demand with time follows certain patterns which can be seasonal, cyclical, trend, and random. Highlights forecasting methods, namely, cumulative, naive, moving averages, and exponential smoothing.It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of manufacturing engineering, industrial engineering, supply chain management, mechanical engineering, and production engineering. This book resolves problems of physical products, information, and financial transactions by using mathematical and statistical tools to provide robust and validated solutions to real-world problems of the supply chain. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2025

    1032603143 / 9781032603148

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    Hardcover. Condizione: new. Hardcover. This reference text resolves problems of physical products, information, and financial transactions by using mathematical and statistical tools to provide robust and validated solutions to real-world problems of the supply chain. It further discusses important concepts such as supply chain segmentation, constrained and unconstrained optimization, time series analysis, double exponential smoothing, and demand probability distributions.This book:Discusses inventory replenishment models including economic order quantity (EOQ), and economic production quantity (EPQ).Explains different mathematical and analytical models applied frequently depending on the supply chain problem. Covers important topics such as linear, integer, and mixed integer programming. Demonstrates how the variation in demand with time follows certain patterns which can be seasonal, cyclical, trend, and random. Highlights forecasting methods, namely, cumulative, naive, moving averages, and exponential smoothing.It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of manufacturing engineering, industrial engineering, supply chain management, mechanical engineering, and production engineering. This book resolves problems of physical products, information, and financial transactions by using mathematical and statistical tools to provide robust and validated solutions to real-world problems of the supply chain. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.