Buch, Englisch, 98 Seiten, Format (B × H): 145 mm x 222 mm, Gewicht: 266 g
Reihe: Emerging Operations Research Methodologies and Applications
Buch, Englisch, 98 Seiten, Format (B × H): 145 mm x 222 mm, Gewicht: 266 g
Reihe: Emerging Operations Research Methodologies and Applications
ISBN: 978-0-367-53749-4
Verlag: CRC Press
Closed loop supply chains and their management have become mandatory for firms to stay competitive and profitable. This book provides insights into designing supply chain networks by understanding and incorporating key return parameters into the network design, which will affect profitability.
The book discusses how customer categories and their acceptance behavior are incorporated into the network design. It also shows how to analyze the interaction of parameters on supply chain network design and profitability, offers modeling framework for incorporating uncertainties in the return product parameters, and shows how to design a robust network.
Invaluable for managers in designing a sustainable, robust, and profitable supply chain network and ideal for managers, practitioners, and researchers in the area of supply chain network design and optimization.
Zielgruppe
Academic and Professional
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Operations Research
- Technische Wissenschaften Technik Allgemein Industrial Engineering
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management
Weitere Infos & Material
1. Introduction to Closed-Loop Supply Chain Design. 2. Designing CLSC Network with Commercial Returns. 3. Characteristics of Commercial Return Products. 4. Network Design Incorporating Quality of Returns and Customer Acceptance Behavior. 5. Robust Network Design Incorporating Uncertainties in Demand and Return Parameters.