Caramia / Dell'Olmo | Effective Resource Management in Manufacturing Systems | E-Book | www.sack.de
E-Book

E-Book, Englisch, 216 Seiten

Reihe: Springer Series in Advanced Manufacturing

Caramia / Dell'Olmo Effective Resource Management in Manufacturing Systems

Optimization Algorithms for Production Planning
1. Auflage 2006
ISBN: 978-1-84628-227-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

Optimization Algorithms for Production Planning

E-Book, Englisch, 216 Seiten

Reihe: Springer Series in Advanced Manufacturing

ISBN: 978-1-84628-227-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark



Manufacturing systems work with scarce resources in dynamic environments. Managers need to assign production facilities to parallel activities, respecting operational constraints and deadlines while keeping costs low. Old scheduling approaches are inadequate when a taskboth requires a set of different resources and a trade-off between objectives. More sophisticated models and algorithms are needed by these managers. This book provides robust methods for achieving effective resource allocation. It also solves problems such as resource levelling, sizing of machines and production layouts, cost optimization in production planning and scheduling that occur daily and often generate cost overruns. The quantitative methodsused cover both mathematical programming and algorithms, leading to high quality solutions. Details of experimentation putthese techniquesin a practical perspective. This book is a valuable resource for postgraduate students and researchers inbusiness, engineering or computer science.

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Zielgruppe


Industrial and Production Engineering, Manufacturing, Machines, Tools, Operations Research/Decision Theory, Production/Logistics, Manufacturing systems, Optimization algorithms, Resource allocation, Scheduling, Time management

Weitere Infos & Material


Massimiliano Caramia, Istituto per le Applicazioni del Calcolo "M. Picone" - Viale del Policlinico, Rome, Italy / Paolo Dell'Olmo, Universita di Roma "La Sapienza", Dipartmento di Statistica, Probabilita e Statistiche Applicate, Rome, Italy



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