Download Design of Advanced Manufacturing Systems: Models for by Andrea Matta, Quirico Semeraro PDF

By Andrea Matta, Quirico Semeraro

ISBN-10: 1402029306

ISBN-13: 9781402029301

This e-book provides a framework and particular tools and instruments for the choice and configuration of the capability of complicated production structures (AMS). AMS comprise versatile production platforms, devoted production structures, and Reconfigurable production structures. ranging from the attribute of the aggressive atmosphere, the instructions given via the corporate method, info in regards to the items, and knowledge concerning the various method architectures, the choice help method defined the following aids the choice maker through a formalized method that follows many of the steps required to outline the sort and timing of 'capacity' acquisition and to outline the distinct configuration of AMS alongside its lifestyles cycle. the choice making framework and instruments illustrated during this quantity mix decision-making conception, optimization concept, discrete occasion simulation and queuing networks. it is going to be of curiosity to graduate scholars and researchers considering production engineering, business engineering and operations study.

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Extra info for Design of Advanced Manufacturing Systems: Models for Capacity Planning in Advanced Manufacturing Systems

Example text

A system to support the enhancement of strategic flexibility in manufacturing enterprises. European Journal of OperationResearch, 109:362– 376. Sethi, K. and Sethi, S. (1990). Flexibility in manufacturing: A survey. International Journal of Flexible Manufacturing Systems, 2:289–328. Skinner, W. (1985). Manufacturing: the formidable competitive weapon. John Wiley and Sons. , and Markland, R. (1993). Production competence and business strategy: do they affect business performance ? Decision Sciences, 24(4):435–456.

1 Models for flexibility identification The four models for the identification of the flexibility type, one for each flexibility type, are based on expert systems, specifically fuzzy systems. 2 where the input and output variables, according to the main IDEF0 diagram are shown. 2. Inputs and outputs of the model [A1-1]-M1. The production system flexibility can be defined as the system ability to rapidly and cost-effectively adapt to market (external) change requirements or enterprise (internal) change requirements.

This module will be based on stochastic and dynamic optimization to find the required time capacity in the planning horizon. g. g. outsourcing) resources. For details see the models described in Chapter 3. Configurator Module to aid decision-makers in defining the detailed design of production system. This module will use a performance evaluator tool to find good solutions. For details see models described in Chapter 4 and Chapter 6. Capacity selector Module to aid decision-makers in selecting which” AMSs have to be acquired and when” they will be acquired.

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Design of Advanced Manufacturing Systems: Models for Capacity Planning in Advanced Manufacturing Systems by Andrea Matta, Quirico Semeraro


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