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  • Production Systems Engineering: Cost and Performance Optimization

    Production Systems Engineering: Cost and Performance Optimization by Gustavson, Richard;

    Sorozatcím: MECHANICAL ENGINEERING;

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    A termék adatai:

    • Kiadó McGraw Hill
    • Megjelenés dátuma 2010. március 16.

    • ISBN 9780071701884
    • Kötéstípus Keménykötés
    • Terjedelem256 oldal
    • Méret 236x160x21 mm
    • Súly 494 g
    • Nyelv angol
    • 0

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    Rövid leírás:

    This real-world guide offers pragmatic analytical methods, developed at the Draper Laboratory (MIT), for determining optimal resource allocation and cost-effective production system designs for today?s high-volume manufacturing environments.

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    Hosszú leírás:

    Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.



    Optimize Economic and Technological Requirements in Production System Designs

    This pioneering work offers proven techniques, partially created and developed at The Charles Stark Draper Laboratory, for determining optimal resource allocation and cost-effective production system designs for today?s any-volume manufacturing environments. Production Systems Engineering presents a unique methodology that synthesizes applicable technology with economic requirements for an integrated solution. Featuring real-world case studies, this authoritative resource establishes a new paradigm for the manufacturing world that can also be applied to other enterprise environments.

    Coverage includes:

    • Determining an improved manufacturing system design method
    • System design basics, time allocation, resources, costs, and quality rating
    • Stochastic analyses added to deterministic results
    • System configuration options
    • Multiple disparate products produced by one system
    • World class versus mostly manual systems
    • Determining allowable investment
    • Simultaneous improvement in yield and cycle-time


    Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.



    Optimize Economic and Technological Requirements in Production System Designs

    This pioneering work offers proven techniques, partially created and developed at The Charles Stark Draper Laboratory, for determining optimal resource allocation and cost-effective production system designs for today?s any-volume manufacturing environments. Production Systems Engineering presents a unique methodology that synthesizes applicable technology with economic requirements for an integrated solution. Featuring real-world case studies, this authoritative resource establishes a new paradigm for the manufacturing world that can also be applied to other enterprise environments.

    Coverage includes:

    • Determining an improved manufacturing system design method
    • System design basics, time allocation, resources, costs, and quality rating
    • Stochastic analyses added to deterministic results
    • System configuration options
    • Multiple disparate products produced by one system
    • World class versus mostly manual systems
    • Determining allowable investment
    • Simultaneous improvement in yield and cycle-time

    Több

    Tartalomjegyzék:

    List of Tables; List of Illustrations; Preface; Chapter 1. Finding a Better Method for Manufacturing System Design; Chapter 2. Results from Initial Studies; Chapter 3. Real-World Applications Lead to Enhanced Understanding; Chapter 4. Stochastic Analyses Added to Deterministic Results; Chapter 5. Initial Look at System Configurations; Chapter 6. Multiple Disparate Products Produced by One System; Chapter 7. World-Class Versus Mostly Manual Systems; Appendix A. Determining Allowable Investment; Appendix B. Economic-Technological Synthesis of Systems; Appendix C. Establishing Task Data for Assembly Systems; Appendix D. Simultaneous Improvement in Yield and Cycle-Time; Appendix E. Two Case Study Summaries; Appendix F. Advanced System Design Procedure; References; Index

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