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Managing reverse logistics using system dynamics : a generic end-to-end approach / Martin Bonev.

EBSCOhost Ebook Business Collection Available online

EBSCOhost Ebook Business Collection

Ebook Central Academic Complete Available online

Ebook Central Academic Complete
Format:
Book
Author/Creator:
Bonev, Martin.
Language:
English
Subjects (All):
Business logistics.
Business planning.
Physical Description:
1 online resource (151 p.)
Edition:
1st ed.
Place of Publication:
Hamburg : Diplomica Verlag, 2012.
Language Note:
English
Summary:
Hauptbeschreibung As legislations have become stricter and the competition on markets is getting stronger, companies facing return flows strive for the implementation of efficient and cost-effective reverse logistic procedures. At the same time, when managing reverse logistics, they are not only confronted with a high degree of uncertainties concerning the quality, quantity and timing or the product returns, but also with a dynamically changing environment. Various aspects, such the increasing amount of return flows, shorter repair and lead times as well as increasing disposal costs
Contents:
Managing reverse logistics using system dynamics: A generic end-to-end approach; Abstract; Table of Contents; List of Figures; List of Tables; List of Abbreviations; 1 Introduction; 2 Literature Review; 2.1 Fundamentals of Reverse Logistics; 2.1.1 Introduction to Reverse Logistics; 2.1.2 Characterizing Supply Chain Management and Reverse Logistics; 2.1.3 Classifying Reverse Logistics Drivers; 2.1.4 Specifying Return Reasons for Reverse Logistics; 2.1.5 Analyzing Types and Characteristics of Returned Products; 2.1.6 Describing the Reverse Logistics System
2.2 Impact on Reverse Logistic Activities2.2.1 Describing Positive Effects on Closed-Loop Supply Chains; 2.2.2 Characterizing the Waste Hierarchy Pyramid and Regulations; 2.2.3 Gatekeeping as an Effective Intake Control for the Reverse LogisticSystem; 2.2.4 Analyzing Barriers of Reverse Logistics; 2.3 General Trends and Challenges of Reverse Logistics; 2.4 Uncertainty as a key feature of the reverse logistics environment; 3 Analytical Approach; 3.1 Process Oriented View on Reverse Logistics; 3.1.1 The Five Star Model as a Starting Point of an Efficient Business Model
3.1.2 Optimizing Approaches to Processes for Reverse Logistics3.2 Dynamic Approach to Reverse Logistics; 3.2.1 Reverse Logistics as a Dynamic System; 3.2.2 Computer Aided Modelling Techniques for Studying Dynamic Systems; 3.2.3 Using System Dynamics for Reverse Logistic Processes; 3.3 System Dynamics Modelling Methodology; 4 Model Development; 4.1 Clarifying the Research Methodology; 4.2 Phase 1: Problem Articulation; 4.2.1 Structuring the Modelling Objectives; 4.2.2 Characterizing the Framework for the System Dynamics Model; 4.2.3 Describing the Design of the Model System
4.2.4 Specifying the Evaluation Method4.2.5 Outlining the Key Aspects for the Modelling Task; 4.3 Phase 2: Formulating a Dynamic Hypothesis; 4.3.1 Using the Integrated Definition for Function Modelling; 4.3.2 Creating a Value Stream Mapping; 4.3.3 Structuring the Framework with Causal Loop Diagrams; 4.3.4 Formulating Stock and Flow Maps; 4.3.5 Summarizing the Hypothetical Results; 4.4 Phase 3: Formulating a Simulation Model; 4.4.1 Characterizing General Assumptions; 4.4.2 Sector 1: Collection; 4.4.3 Sector 2: Disposal; 4.4.4 Sector 3: Inspection; 4.4.5 Sector 4: Recycling
4.4.6 The Functionality of Shipment4.5 Phase 4: Testing; 4.5.1 Characterizing the Testing Approach; 4.5.2 Describing the Base Run Resulting Behaviour; 4.6 Phase 5: Policy and Design Evaluation; 4.6.1 Characterizing the Environmental Policy; 4.6.2 Specifying the Economical Policy; 4.6.3 Optimizing the System Performance; 5 Conclusion; 6 Bibliography; Appendix 1: Report of the Company Visit; Appendix 2: Taguchi L27 Orthogonal Array; Appendix 3: IDEFo Diagram135s; About the Author
Notes:
Description based upon print version of record.
Includes bibliographical references.
ISBN:
9783842819900
3842819900
OCLC:
818816722

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