Ebook: Supply Chain Optimisation: Product/Process Design, Facility Location and Flow Control
- Tags: Operations Research Mathematical Programming, Optimization, Combinatorics
- Series: Applied Optimization 94
- Year: 2005
- Publisher: Springer US
- Edition: 1
- Language: English
- pdf
This volume is a collection of recent key results in supply chain optimisation. It presents new approaches and methods based on operations research, artificial intelligence and computer sciences techniques for design of production systems, supply and inventory management, production planning and scheduling, facility location, transportation and logistics, supply flow optimisation via simulation, etc. The content focuses on a wide spectrum of optimisation problems taking into account supply chain paradigms, which create a pivotal idea to increase the productivity of modern production systems.
The first part of the book presents a set of modelling techniques taking into account the enterprise integration problem, the knowledge management in the SME networks, and the human resources in business process engineering. The second part is dedicated to advanced optimisation methods for supply chain design and management which are based on mathematical programming and metaheuristics. The third part of this book deals with some examples of advanced applied decision aid tools directly linked to real industrial problems.
Audience
This volume is suitable for industrial engineers, faculty staff and graduate students in industrial engineering, management science, operations research, artificial intelligence and computer sciences. This book can be used as a reference for graduate courses and also for researchers and industrial engineers to capture current trends in this field.
This volume is a collection of recent key results in supply chain optimisation. It presents new approaches and methods based on operations research, artificial intelligence and computer sciences techniques for design of production systems, supply and inventory management, production planning and scheduling, facility location, transportation and logistics, supply flow optimisation via simulation, etc. The content focuses on a wide spectrum of optimisation problems taking into account supply chain paradigms, which create a pivotal idea to increase the productivity of modern production systems.
The first part of the book presents a set of modelling techniques taking into account the enterprise integration problem, the knowledge management in the SME networks, and the human resources in business process engineering. The second part is dedicated to advanced optimisation methods for supply chain design and management which are based on mathematical programming and metaheuristics. The third part of this book deals with some examples of advanced applied decision aid tools directly linked to real industrial problems.
Audience
This volume is suitable for industrial engineers, faculty staff and graduate students in industrial engineering, management science, operations research, artificial intelligence and computer sciences. This book can be used as a reference for graduate courses and also for researchers and industrial engineers to capture current trends in this field.
This volume is a collection of recent key results in supply chain optimisation. It presents new approaches and methods based on operations research, artificial intelligence and computer sciences techniques for design of production systems, supply and inventory management, production planning and scheduling, facility location, transportation and logistics, supply flow optimisation via simulation, etc. The content focuses on a wide spectrum of optimisation problems taking into account supply chain paradigms, which create a pivotal idea to increase the productivity of modern production systems.
The first part of the book presents a set of modelling techniques taking into account the enterprise integration problem, the knowledge management in the SME networks, and the human resources in business process engineering. The second part is dedicated to advanced optimisation methods for supply chain design and management which are based on mathematical programming and metaheuristics. The third part of this book deals with some examples of advanced applied decision aid tools directly linked to real industrial problems.
Audience
This volume is suitable for industrial engineers, faculty staff and graduate students in industrial engineering, management science, operations research, artificial intelligence and computer sciences. This book can be used as a reference for graduate courses and also for researchers and industrial engineers to capture current trends in this field.
Content:
Front Matter....Pages i-xvi
Front Matter....Pages 1-1
An Initiative for International Consensus on Enterprise Inter- and Intra-Organisational Integration....Pages 3-14
Towards Knowledge Logistics in Agile SME Networks....Pages 15-24
A Modelling Framework for Human Resource-Based Business Processes....Pages 25-40
Managing Service-Sensitive Demand Through Simulation....Pages 41-53
Robust Modeling of Consumer Behaviour....Pages 55-70
Sizing, Cycle Time and Plant Control Using Dioid Algebra....Pages 71-85
Concurrent Processes Flow Prototyping....Pages 87-100
Modelling of the Supply Chain for a Distributed Publishing Enterprise....Pages 101-116
Front Matter....Pages 117-117
Hybrid Methods for Line Balancing Problems....Pages 119-133
Stability of Optimal Line Balance with Given Station Set....Pages 135-149
Simple Plant Location Problem with Reverse Flows....Pages 151-166
Concave Cost Supply Management for Single Manufacturing Unit....Pages 167-174
Product Family and Supply Chain Design....Pages 175-190
Sales and Operations Planning Optimisation....Pages 191-204
Response Surface-Based Simulation Metamodelling Methods....Pages 205-215
Front Matter....Pages 217-217
A Modeling and Simulation Framework for Supply Chain Design....Pages 219-232
Internet Web-Based Integration of Process and Manufacturing Resources Planning....Pages 233-246
Visual Representation of Material Flows in Chemical Plant Systems....Pages 247-261
Identification-Based Condition Monitoring of Technical Systems....Pages 263-275
Simulation of Distributed Industrial Systems....Pages 277-287
Back Matter....Pages 289-289
This volume is a collection of recent key results in supply chain optimisation. It presents new approaches and methods based on operations research, artificial intelligence and computer sciences techniques for design of production systems, supply and inventory management, production planning and scheduling, facility location, transportation and logistics, supply flow optimisation via simulation, etc. The content focuses on a wide spectrum of optimisation problems taking into account supply chain paradigms, which create a pivotal idea to increase the productivity of modern production systems.
The first part of the book presents a set of modelling techniques taking into account the enterprise integration problem, the knowledge management in the SME networks, and the human resources in business process engineering. The second part is dedicated to advanced optimisation methods for supply chain design and management which are based on mathematical programming and metaheuristics. The third part of this book deals with some examples of advanced applied decision aid tools directly linked to real industrial problems.
Audience
This volume is suitable for industrial engineers, faculty staff and graduate students in industrial engineering, management science, operations research, artificial intelligence and computer sciences. This book can be used as a reference for graduate courses and also for researchers and industrial engineers to capture current trends in this field.
Content:
Front Matter....Pages i-xvi
Front Matter....Pages 1-1
An Initiative for International Consensus on Enterprise Inter- and Intra-Organisational Integration....Pages 3-14
Towards Knowledge Logistics in Agile SME Networks....Pages 15-24
A Modelling Framework for Human Resource-Based Business Processes....Pages 25-40
Managing Service-Sensitive Demand Through Simulation....Pages 41-53
Robust Modeling of Consumer Behaviour....Pages 55-70
Sizing, Cycle Time and Plant Control Using Dioid Algebra....Pages 71-85
Concurrent Processes Flow Prototyping....Pages 87-100
Modelling of the Supply Chain for a Distributed Publishing Enterprise....Pages 101-116
Front Matter....Pages 117-117
Hybrid Methods for Line Balancing Problems....Pages 119-133
Stability of Optimal Line Balance with Given Station Set....Pages 135-149
Simple Plant Location Problem with Reverse Flows....Pages 151-166
Concave Cost Supply Management for Single Manufacturing Unit....Pages 167-174
Product Family and Supply Chain Design....Pages 175-190
Sales and Operations Planning Optimisation....Pages 191-204
Response Surface-Based Simulation Metamodelling Methods....Pages 205-215
Front Matter....Pages 217-217
A Modeling and Simulation Framework for Supply Chain Design....Pages 219-232
Internet Web-Based Integration of Process and Manufacturing Resources Planning....Pages 233-246
Visual Representation of Material Flows in Chemical Plant Systems....Pages 247-261
Identification-Based Condition Monitoring of Technical Systems....Pages 263-275
Simulation of Distributed Industrial Systems....Pages 277-287
Back Matter....Pages 289-289
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