Performance Analysis Of Flow Lines With Non Linear Flow Of Material


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Performance Analysis of Flow Lines with Non-Linear Flow of Material


Performance Analysis of Flow Lines with Non-Linear Flow of Material

Author: Stefan Helber

language: en

Publisher:

Release Date: 1999-08-19


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Flow line design is one of the major tasks in production management. The decision to install a set of machines and buffers is often highly irreversible. It determines both cost and revenue to a large extent. In order to assess the economic impact of any possible flow line design, production rates and inventory levels have to be estimated. These performance measures depend on the allocation of buffers whenever the flow of material is occasionally disrupted, for example due to machine failures or quality problems. The book describes analytical methods that can be used to evaluate flow lines much faster than with simulation techniques. Based on these fast analytical techniques, it is possible to determine a flow line design that maximizes the net present value of the flow line investment. The flow of material through the line may be non-linear, for example due to assembly operations or quality inspections.

Analysis and Design of Discrete Part Production Lines


Analysis and Design of Discrete Part Production Lines

Author: Chrissoleon T. Papadopoulos

language: en

Publisher: Springer Science & Business Media

Release Date: 2009-05-30


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Analysis and Design of Discrete Part Production Lines provides a complete overview of production systems, investigating several production line problems, and describing the best approaches to the analysis of production line performance. Written by experts in the field of production and manufacturing research, this book also presents numerous techniques that can be used to describe and model various types of production lines. Special Features: * Includes access to a supplementary web-based software package, providing algorithms and examples, developed by distinguished experts of the field. * Describes new results for evaluative techniques and design algorithms as well as several open problems in production line optimization. * Presents in detail the theory and techniques that underlie production system management, design, and analysis, allowing the book to serve as an excellent introduction to newcomers in the field. * Has potential for use in a graduate level course in industrial or manufacturing engineering, or in a business course with a manufacturing focus. * Contains appendices providing an overview of several mathematical techniques employed to design and evaluate production line models.

Handbook of Stochastic Models and Analysis of Manufacturing System Operations


Handbook of Stochastic Models and Analysis of Manufacturing System Operations

Author: J. MacGregor Smith

language: en

Publisher: Springer Science & Business Media

Release Date: 2013-05-17


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This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic performance analysis as well as integrated optimization models of these systems. Topics deal with the areas of facilities planning, transportation, and material handling systems, logistics and supply chain management, and integrated productivity and quality models covering: • Stochastic modeling and analysis of manufacturing systems • Design, analysis, and optimization of manufacturing systems • Facilities planning, transportation, and material handling systems analysis • Production planning, scheduling systems, management, and control • Analytical approaches to logistics and supply chain management • Integrated productivity and quality models, and their analysis • Literature surveys of issues relevant in manufacturing systems • Case studies of manufacturing system operations and analysis Today’s manufacturing system operations are becoming increasingly complex. Advanced knowledge of best practices for treating these problems is not always well known. The purpose of the book is to create a foundation for the development of stochastic models and their analysis in manufacturing system operations. Given the handbook nature of the volume, introducing basic principles, concepts, and algorithms for treating these problems and their solutions is the main intent of this handbook. Readers unfamiliar with these research areas will be able to find a research foundation for studying these problems and systems.