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  • Simulation Modeling Handbook: A Practical Approach

    Simulation Modeling Handbook by Chung, Christopher A.;

    A Practical Approach

    Series: INDUSTRIAL AND MANUFACTURING ENGINEERING SERIES; 0;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 220.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        111 342 Ft (106 040 Ft + 5% VAT)
      • Discount 20% (cc. 22 268 Ft off)
      • Discounted price 89 074 Ft (84 832 Ft + 5% VAT)

    111 342 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Short description:

    Simulation modeling is becoming increasingly popular as a technique for evaluating the performance of resource allocation and alternate operating policies. It is a cost-effective method for improving process performance and can be used to evaluate the performance of capital equipment before investments. This handbook is a practical, easy-to-follow reference that offers step-by-step procedures for conducting simulation studies that help decision-makers find the optimal courses of action. Unlike most other books on the subject, this presentation is independent of any particular simulation software, allowing readers to use any commercial package or general purpose programming language.

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    Long description:

    The use of simulation modeling and analysis is becoming increasingly more popular as a technique for improving or investigating process performance. This book is a practical, easy-to-follow reference that offers up-to-date information and step-by-step procedures for conducting simulation studies. It provides sample simulation project support material, including checklists, data-collection forms, and sample simulation project reports and publications to facilitate practitioners' efforts in conducting simulation modeling and analysis projects.

    Simulation Modeling Handbook: A Practical Approach has two major advantages over other treatments. First, it is independent of any particular simulation software, allowing readers to use any commercial package or programming language. Second, it was written to insulate practitioners from unnecessary simulation theory that does not focus on their average, practical needs.

    As the popularity of simulation studies continues to grow, the planning and execution of these projects, more and more engineering and management professionals will be called upon to perform these tasks. With its simple, no-nonsense approach and focus on application rather than theory, this comprehensive and easy-to-understand guide is the ideal vehicle for acquiring the background and skills needed to undertake effective simulation projects.

    Features

  • Presents step-by-step procedures for conducting successful simulation modeling and analysis
  • Addresses every phase of performing simulations, from formulating the problem to presenting study results and recommendations
  • Uses approaches applicable regardless of the specific simulation or software used
  • Includes a summary of the major simulation software packages and discusses the pros and cons of using general purpose programming languages
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    Table of Contents:

    Introduction. Problem Definition. Project Planning. System Definition. Model Formulation. Input Data collection and Analysis. Model Transition. Verification and Validation. Experimentation and Analysis. Generating Conclusions and Recommendations. New Developments in Simulation Analysis.

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