| 000 | 11960cam a2200361 a 4500 | ||
|---|---|---|---|
| 003 | CUTN | ||
| 005 | 20250408153222.0 | ||
| 008 | 120621s2013 flua b 001 0 eng | ||
| 020 | _a9781032729039 | ||
| 041 | _aEnglish | ||
| 042 | _apcc | ||
| 082 | 0 | 0 |
_a658.7 _223 _bGUP |
| 084 |
_aBUS076000 _aTEC020000 _aTEC029000 _2bisacsh |
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| 245 | 0 | 0 |
_aReverse supply chains : _bissues and analysis / _cedited by Surendra M. Gupta. |
| 260 |
_aBoca Raton, FL : _bTaylor & Francis, _cc2013. |
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| 300 |
_axvii, 404 p. : _bill. ; _c24 cm. |
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| 504 | _aIncludes bibliographical references and indexes. | ||
| 505 | _tCover Half Title Title Page Copyright Page Table of Contents Preface Editor Contributors 1 Reverse Logistics 1.1 Introduction 1.2 Differences Between Reverse and Forward Logistics 1.3 Reverse Logistics Process 1.4 Issues in Reverse Logistics 1.4.1 Customer Returns 1.4.2 Repair/Service Returns 1.4.3 EOL Returns 1.4.3.1 Strategic Issues 1.4.3.1.1 Network Design 1.4.3.1.1.1 Deterministic Models 1.4.3.1.1.2 Stochastic Models 1.4.3.1.2 Transportation Issues 1.4.3.1.3 Selection of Used Products 1.4.3.1.4 Facility Layout 1.4.3.1.5 Information Technology 1.4.3.2 Planning and Control 1.4.3.2.1 Forecasting 1.4.3.2.2 Production Planning 1.4.3.2.3 Capacity Planning 1.4.3.2.4 Inventory Management 1.4.3.2.4.1 Deterministic Models 1.4.3.2.4.1.1 Stationary Demand 1.4.3.2.4.1.2 Dynamic Demand 1.4.3.2.4.2 Stochastic Models 1.4.3.2.4.2.1 Continuous Review Models 1.4.3.2.4.2.2 Periodic Review Models 1.4.3.2.5 Selection and Evaluation of Suppliers 1.4.3.2.6 Performance Measurement 1.4.3.2.7 Marketing-Related Issues 1.4.3.2.8 EOL Alternative Selection 1.4.3.2.9 Product Acquisition Management 1.4.3.3 Processing 1.4.3.3.1 Disassembly 1.4.3.3.1.1 Scheduling 1.4.3.3.1.2 Sequencing 1.4.3.3.1.3 Line Balancing 1.4.3.3.1.4 Disassembly-to-Order Systems 1.4.3.3.1.5 Automation 1.4.3.3.1.6 Use of Information Technology in Disassembly 1.4.3.3.1.7 Ergonomics 1.4.3.3.2 Remanufacturing 1.4.3.3.3 Recycling 1.4.4 Reusable Container Returns 1.4.5 Leased Product Returns 1.5 Conclusions References 2 Issues and Challenges in Reverse Logistics 2.1 Introduction 2.2 Basic Reverse Logistics Activities and Their Scope 2.3 Drivers and Barriers of Reverse Logistics 2.3.1 Major Reverse Logistics Decisions 2.4 Issues and Challenges 2.4.1 Returns Related 2.4.1.1 Returns Policy Issues 2.4.2 Process, Recovery, and Technology Related 2.4.3 Network Design and Coordination-ReIated Decisions 2.4.4 Regulatory and Sustainability Related 2.4.5 Cost-Benefit AnaIysis ReIated 2.5 Some Initiatives, Other Models, and Frameworks 2.5.1 Reverse Logistics Initiatives in India 2.5.2 GLOBAL asset Recovery Services at IBM 2.5.3 CIRCULAR (SustainabIe) Economy at Tianjin 2.5.4 RFID-Based RL System 2.5.5 Implementing JIT Philosophy in RL Systems 2.6 Conclusions and Outcomes References 3 New-Product Design Metrics for Efficient Reverse Supply Chains 3.1 Overview 3.2 Problem Introduction 3.3 Literature Review 3.4 Design Metrics for End-of-Life Processing 3.4.1 DISASSEMBLY modeI Introduction 3.4.2 Metrics 3.4.3 Metrics as Prototypes 3.4.4 Additional Metrics 3.5 Case Study 3.5.1 Product Data 3.5.2 NumericaI AnaIysis 3.5.3 Results 3.6 Conclusions References 4 Application of Theory of Constraints’ Thinking Processes in a Reverse Logistics Process 4.1 Introduction 4.2 Theory of Constraints 4.3 Theory of Constraints’ Thinking Processes 4.3.1 What to Change? 4.3.2 What to Change to? 4.3.3 How to Cause the Change? 4.4 Reverse Logistics 4.5 E-Waste 4.6 Application 4.6.1 What to Change? 4.6.2 What to Change to? 4.7 Discussion 4.8 Conclusion References 5 Modeling Supplier Selection in Reverse Supply Chains 5.1 Introduction 5.2 Methodology 5.2.1 Nomenclature Used in the Methodology 5.2.2 Taguchi Loss Functions 5.2.3 Analytic Hierarchy Process 5.2.4 Ranking the Suppliers 5.2.5 Fuzzy Programming 5.3 Supplier Selection Methodology: A Numerical Example 5.3.1 Determining the Order Quantities: Fuzzy Programming 5.4 Conclusions References 6 General Modeling Framework for Cost/Benefit Analysis of Remanufacturing 6.1 End of Life Plans 6.2 Remanufacturing 6.3 Processes Involved in Remanufacturing 6.4 Cost/Benefit Model for Take Back Phase 6.4.1 Financial Incentive 6.4.2 Advertisement 6.4.3 Cost Model 6.5 Cost/Benefit Model for Disassembly and Reassembly Phase 6.5.1 Characterizing the Assembly Structure of a Product 6.5.2 Different Forms of DisassembIy 6.5.3 Disassembty Sequence Planning and Optimum Partial Disassembly 6.5.3.1 Connection Graph 6.5.3.2 Direct Graph 6.5.3.3 And/Or Graph 6.5.3.4 Disassembly Petri Nets 6.5.4 Disassembly Line and the Characteristic Parameters of Disassembly 6.5.5 Optimum Partial Disassembly Based on Initial Inspection 6.5.6 Net Profit of the Disassembly Process 6.5.7 Reassembly 6.6 Cost/Benefit Analysis of Resale Phase 6.6.1 Marketing Strategies in Remanufacturing 6.6.2 Demand-Price ReLation 6.6.2.1 Pn ≤ 1 – δ 6.6.2.2 Pn ≥ 1 – δ 6.6.3 Cost/Benefit Model of Resale 6.6.3.1 Two Market Segments for Manufacturing and Remanufacturing 6.6.3.2 Same Market Segment: Duopoly Situation 6.6.3.3 Same Market Segment: Monopoly Situation 6.7 Practical Example 6.7.1 Characteristic Parameters and Functions of the Problem 6.7.2 Modeling the Take Back Phase 6.7.3 Modeling the Disassembly and Reassembly Phase 6.8 Conclusion References 7 Integrated Inventory Models for Retail Pricing and Return Reimbursements in a JIT Environment for Remanufacturing a Product 7.1 Introduction 7.2 Literature Review 7.3 Notation and Assumptions 7.3.1 Notation 7.3.2 Assumptions 7.4 Development of Models and Analyses 7.4.1 Decentralized Models with Wholesale Price Set by Market 7.4.1.1 Decentralized Model for Retailer’s Optimal Policy with Given pw 7.4.1.2 Decentralized Model for Manufacturer’s Optimal Policy with Given pw 7.4.2 Decentralized Model with Wholesale Price Set by the Manufacturer 7.4.3 Centralized Model for Supply Chain Optimality 7.5 Numerical Illustration and Discussions 7.6 Summary and Conclusions References 8 Advanced Remanufacturing-to- Οrder and Disassembly-to-Order System under Demand/ Decision Uncertainty 8.1 Introduction 8.2 Literature Review 8.2.1 Product Recovery 8.2.2 Sensor and RFID Technologies 8.2.3 Fuzzy Optimization in Product Recovery 8.3 Fuzzy Goal Programming 8.4 Advanced Remanufacturing-To-Order and Disassembly-To-Order System 8.5 Proposed Mathematical Model 8.5.1 Goals 8.5.2 Constraints 8.6 Numerical Example 8.7 Results 8.8 Conclusions References 9 Importance of Green and Resilient SCM Practices for the Competitiveness of the Automotive Industry A Multinational Perspective 9.1 Introduction 9.2 Background 9.3 Research Questions and Hypotheses 9.4 Research Methodology 9.4.1 Survey Instrument 9.4.2 Sample Selection 9.5 Data Analysis and Findings 9.5.1 Perception of the Importance of Green and Resilient Paradigms for the Competitiveness of the Automotive Industry 9.5.2 Importance of Green and Resilient SCM Practices for Academics and Professionals 9.5.3 Importance Given to Green and Resilient Practices for the Competitiveness of the Automotive SC Vary by Country 9.6 Conclusions Appendix References 10 Balanced Principal Solution for Green Supply Chain under Governmental Regulations 10.1 Introduction 10.2 Framework 10.3 Model 10.3.1 Stage 3 10.3.2 Stage 2 10.3.3 Stage 1 10.4 Analysis 10.5 Conclusion Appendix References 11 Barrier Analysis to Improve Green in Existing Supply Chain Management 11.1 Introduction 11.2 Literature Review 11.3 Green Supply Chain Management 11.3.1 Benefits of GSCM 11.4 Integrating Iso 14001 and Gscm 11.5 Barriers in Green Supply Chain Management 11.6 Problem Description 11.7 Solution Methodology 11.8 Data Collection 11.9 Results and Discussion 11.10 Conclusions Acknowledgment References 12 River Formation Dynamics Approach for Sequence-Dependent Disassembly Line Balancing Problem 12.1 Introduction 12.2 Notations 12.3 Problem Definition and Formulation 12.4 Proposed River Formation Dynamics Approach 12.4.1 Solution Representation 12.4.2 Feasible Solution Construction Strategy 12.4.3 Main Steps of the Proposed Method 12.5 Numerical Results 12.6 Conclusions References 13 Graph-Based Approach for Modeling, Simulation, and Optimization of Life Cycle Resource Flows 13.1 Introduction 13.2 Life Cycle Approach in Product Design and Management 13.2.1 Life Cycle Concept 13.2.2 Life Cycle Modeling and Environmental Impact 13.2.2.1 Modeling by Elementary Activities 13.2.2.2 Reference Model for Product Life Cycle 13.2.3 Elmvironmentat Strategies in the Llfe Cycee Approach 13.2.4 Life Cycle Methods and Techniques: LCM, LCA, and LCC 13.2.5 Life Cycle Simulation 13.3 Graph-Based Modeling of Systems 13.3.1 Directed Graphs 13.3.2 Network Flows 13.4 Life Cycle Modeling and Analysis 13.4.1 Definition of Preliminary Life Cycle Parameters 13.4.2 Statement of Graph-Based Modeling 13.4.3 Analysis of Flows Distribution 13.4.4 Identification of Flow Properties and Significant Structure Elements 13.4.5 Role of Network Capacities 13.4.6 Modeling extension 13.5 Life Cycle Simulation and Optimization 13.5.1 Use of the Network Flows-Based Modeling for Life Cycle Simulation 13.5.2 Use of the Network Flows-Based Modeling for Life Cycle Optimization 13.6 Conclusions References 14 Delivery and Pickup Problems with Time Windows Strategy and Modeling 14.1 Introduction 14.2 Related Work 14.3 Vehicle Routing Problem with Backhauls and Time Windows 14.3.1 Model VRPBTW 14.4 Mixed Vehicle Routing Problem with Backhauls and Time Windows 14.4.1 Model MVRPBTW 14.5 Simultaneous Delivery and Pickup Problem with Time Windows 14.6 Flexible Delivery and Pickup Problem with Time Windows 14.6.1 Model FDPPTW 14.7 Illustrative Example 14.8 Discussions 14.9 Conclusions Acknowledgment References 15 Materials Flow Analysis as a Tool for Understanding Long-Term Developments 15.1 Introduction 15.2 System of Reference 15.3 Data Collection 15.4 Categorization 15.5 Results 15.6 Extraction 15.7 Availability 15.8 Disaggregation 15.9 Sustainability 15.10 Conclusion References Author Index Subject Index | ||
| 520 | _a"Reverse supply chains consist of a series of activities required to collect used products from consumers and reprocess them to either recover their leftover market values or dispose of them. It has become common for companies involved in a traditional (forward) supply chain (series of activities required to produce new products from virgin materials and distribute them to consumers) to also carry out collection and reprocessing of used products (reverse supply chain). Strict environmental regulations and diminishing raw material resources have intensified the importance of reverse supply chains at an increasing rate. In addition to being environment friendly, effective management of reverse supply chain operations leads to higher profitability by reducing transportation, inventory and warehousing costs. Moreover, reverse supply chain operations have a strong impact on the operations of forward supply chain such as the occupancy of the storage spaces and transportation capacity"-- | ||
| 650 | 0 | _aRecycling (Waste, etc.) | |
| 650 | 0 | _aRemanufacturing. | |
| 650 | 0 | _aBusiness logistics. | |
| 650 | 7 | _aBUSINESS & ECONOMICS / Purchasing & Buying | |
| 650 | 7 | _aTECHNOLOGY & ENGINEERING / Manufacturing | |
| 650 | 7 | _aTECHNOLOGY & ENGINEERING / Operations Research | |
| 650 | 7 |
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| 700 | 1 | _aGupta, Surendra M. | |
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_2ddc _cBOOKS |
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_c44166 _d44166 |
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