Supply Chain Management and Advanced Planning Concepts, Models, Software, and Case Studies /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Stadtler, Hartmut (Επιμελητής έκδοσης), Kilger, Christoph (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Έκδοση: 4th Edition.
• Θέματα: Business.; Management.; Production management.; Information technology.; Business > Data processing.; Engineering economics.; Engineering economy.; Business and Management.; Operations Management.; IT in Business.; Engineering Economics, Organization, Logistics, Marketing.

Supply Chain Management, Enterprise Resources Planning (ERP), and Advanced Planning Systems (APS) are important concepts in order to organize and optimize the flow of goods, materials, information and funds. This book, already in its fourth edition, gives a broad and up-to-date overview of the conce...

Πίνακας περιεχομένων:

• Basics of Supply Chain Management
• Supply Chain Management — An Overview
• Supply Chain Analysis
• Types of Supply Chains
• Advanced Planning
• Concepts of Advanced Planning Systems
• Structure of Advanced Planning Systems
• Strategic Network Design
• Demand Planning
• Master Planning
• Demand Fulfilment and ATP
• Production Planning and Scheduling
• Purchasing and Material Requirements Planning
• Distribution and Transport Planning
• Coordination and Integration
• Collaborative Planning
• Implementing Advanced Planning Systems
• The Definition of a Supply Chain Project
• The Selection Process
• The Implementation Process
• Actual APS and Case Studies
• Architecture of Selected APS
• Strategic Network Design in the Chemical Industry
• Computer Assembly
• Oil Industry
• SCM in a Pharmaceutical Company
• Demand Planning of Styrene Plastics
• Food and Beverages
• Scheduling of Synthetic Granulate
• Event-Based Planning for Standard Polymer Products
• Conclusions and Outlook
• Conclusions and Outlook
• Supplement
• Forecast Methods
• Linear and Mixed Integer Programming
• Genetic Algorithms
• Constraint Programming.