Introduction to Computational Optimization Models For Production Planning in a Supply Chain

David L. Woodruff, Introduction to Computational Optimization Models for Production Planning in a Supply Chain(Repost)

David L. Woodruff, Introduction to Computational Optimization Models for Production Planning in a Supply Chain
ISBN: 3540298789 | edition 2006 | PDF | 261 pages | 3 mb

The book begins with an easy-to-read introduction to the concepts associated with the creation of optimization models for production planning. These concepts are then applied to well-known planning models, namely mrp and MRP II. From this foundation fairly sophisticated models for supply chain management are developed. Another unique feature is that models are developed with an eye toward implementation. In fact, there is a chapter that provides explicit examples of implementation of the basic models using a variety of popular, commercially available modeling languages.
Introduction to Computational Optimization Models for Production Planning in a Supply Chain

Stefan Voß (Author), David L. Woodruff (Author), "Introduction to Computational Optimization Models for Production Planning in a Supply Chain"
Pages: 257 | Publisher: Springer; 2nd ed. (March 7, 2006) | ISBN-10: 3540298789 | English | PDF | 1.1 MB

The book begins with an easy-to-read introduction to the concepts associated with the creation of optimization models for production planning. These concepts are then applied to well-known planning models, namely mrp and MRP II. From this foundation fairly sophisticated models for supply chain management are developed. Another unique feature is that models are developed with an eye toward implementation. In fact, there is a chapter that provides explicit examples of implementation of the basic models using a variety of popular, commercially available modeling languages. The new edition is updated and provides extensions
Introduction to Computational Optimization Models for Production Planning in a Supply Chain by Stefan Voß [Repost]

Introduction to Computational Optimization Models for Production Planning in a Supply Chain by Stefan Voß
English | Mar 7, 2006 | ISBN: 3540298789 | 261 Pages | PDF | 3 MB

provide models that could be used by do-it-yourselfers and also can be used toprovideunderstandingofthebackgroundissuessothatonecandoabetter job of working with the (proprietary) algorithms of the software vendors. In this book we strive to provide models that capture many of the - tails faced by ?
Time Continuity in Discrete Time Models: New Approaches for Production Planning in Process Industries by Christopher Suerie

Time Continuity in Discrete Time Models: New Approaches for Production Planning in Process Industries by Christopher Suerie
Publisher: Springer | June 16, 2009 | ISBN: 3540245219 | Pages: 229 | PDF | 13.6 MB

Production planning problems containing special characteristics from process industries are addressed in this book. The main subject is the development of mathematical programming models that allow to model production plans which are not disrupted by discretization of time. However, discrete time models are used as a basis and are subsequently enhanced to include aspects of time continuity. Their integration is achieved by different building blocks which may be combined freely according to the specific planning situation at hand. The primary area of application of these kinds of models are process industries.
Mathematical Models for Evacuation Planning in Urban Areas (repost)

Mathematical Models for Evacuation Planning in Urban Areas (Lecture Notes in Economics and Mathematical Systems) by Sarah Bretschneider
English | ISBN: 3642287581 | 2012 | PDF | 210 pages | 2,5 MB

Disasters like floods, hurricanes, chemical or nuclear accidents may cause the necessity to evacuate the affected area. The evacuation of the urban area needs to be planned carefully. One issue is the reorganization of the traffic routing. Congested urban areas have usually complex street networks that are composed of many intersections with streets connecting them.
Mathematical Models for Evacuation Planning in Urban Areas (repost)

Mathematical Models for Evacuation Planning in Urban Areas (Lecture Notes in Economics and Mathematical Systems) by Sarah Bretschneider
English | ISBN: 3642287581 | 2012 | PDF | 210 pages | 2,5 MB

Disasters like floods, hurricanes, chemical or nuclear accidents may cause the necessity to evacuate the affected area. The evacuation of the urban area needs to be planned carefully. One issue is the reorganization of the traffic routing. Congested urban areas have usually complex street networks that are composed of many intersections with streets connecting them.
Effective Resource Management in Manufacturing Systems: Optimization Algorithms for Production Planning

Massimiliano Caramia (Author), Paolo Dell'Olmo - Effective Resource Management in Manufacturing Systems: Optimization Algorithms for Production Planning
Published: 2005-11-18 | ISBN: 1846280052, 1849965420 | PDF + DJVU | 216 pages | 4 MB
Mathematical Models for Evacuation Planning in Urban Areas [Repost]

Sarah Bretschneider - Mathematical Models for Evacuation Planning in Urban Areas
Published: 2012-07-20 | ISBN: 3642287581 | PDF | 220 pages | 3 MB
Mathematical Models for Evacuation Planning in Urban Areas (Lecture Notes in Economics and Mathematical Systems)

Sarah Bretschneider, "Mathematical Models for Evacuation Planning in Urban Areas (Lecture Notes in Economics and Mathematical Systems)"
ISBN: 3642287581 | 2012 | PDF | 210 pages | 5.1 MB
"Managing Product Life Cycle in a Supply Chain Context: A Prescription Based on Empirical Research" (Repost)

Sameer Kumar and William A. Krob, "Managing Product Life Cycle in a Supply Chain Context: A Prescription Based on Empirical Research"
Publisher: Springer | ISBN: 0387232680 | edition 2005 | PDF | 165 pages | 8,41 mb

The aim of this book is to provide a better understanding with as to how to coordinate and improve decisions about product life cycle, process and supply chain design to improve new product development. The conclusions are based upon original research of supply chain management and new product development in numerous industries.