From a literature review to a conceptual framework for sustainable supply chain management

Vol. 9 Issue 1 pp. 000‐000 There is a growing need for integrating environmentally sound choices into supply-chain management research and practice. Perusal of the literature shows that a broad frame of reference for green supply-chain management (GrSCM) is not adequately developed. Regulatory bodies that formulate regulations to meet societal and ecological concerns to facilitate growth of business and economy also suffer from its absence. A succinct classification to help academicians, researchers and practitioners in understanding integrated GrSCM from a wider perspective is needed. Further, sufficient literature is available to warrant such classification. This paper takes an integrated and fresh look into the area of GrSCM. The literature on GrSCM is covered exhaustively from its conceptualization, primarily taking a ‘reverse logistics angle’. Using the rich body of available literature, including earlier reviews that had relatively limited perspectives, the literature on GrSCM is classified on the basis of the problem context in supply chain’s major influential areas. It is also classified on the basis of methodology and approach adopted. Various mathematical tools/techniques used in literature vis-a-vis the contexts of GrSCM are mapped. A timeline indicating relevant papers is also provided as a ready reference. Finally, the findings and interpretations are summarized, and the main research issues and opportunities are highlighted.

Green supply‐chain management: A state‐of‐the‐art literature review

The importance of remanufacturing used products into new ones has been widely recognized in the literature and in practice. In this paper, we address the problem of choosing the appropriate reverse channel structure for the collection of used products from customers. Specifically, we consider a manufacturer who has three options for collecting such products: (1) she can collect them herself directly from the customers, (2) she can provide suitable incentives to an existing retailer (who already has a distribution channel) to induce the collection, or (3) she can subcontract the collection activity to a third party. Based on our observations in the industry, we model the three options described above as decentralized decision-making systems with the manufacturer being the Stackelberg leader. When considering decentralized channels, we find that ceteris paribus, the agent, who is closer to the customer (i.e., the retailer), is the most effective undertaker of product collection activity for the manufacturer. In addition, we show that simple coordination mechanisms can be designed such that the collection effort of the retailer and the supply chain profits are attained at the same level as in a centrally coordinated system.

https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6102&context=lkcsb_research

Closed-Loop Supply Chain Models with Product Remanufacturing

Facility location and supply chain management - A review

Sustainable supply chains: An introduction

https://repub.eur.nl/pub/2244/eur_dekker_65.pdf

Quantitative models for reverse logistics: A review

Efficient implementation of closed-loop supply chains requires setting up appropriate logistics structures for the arising flows of used and recovered products. In this paper we consider logistics network design in a reverse logistics context. We present a generic facility location model and discuss differences with traditional logistics settings. Moreover, we use our model to analyze the impact of product return flows on logistics networks. We show that the influence of product recovery is very much context dependent. While product recovery may efficiently be integrated in existing logistics structures in many cases, other examples require a more comprehensive approach redesigning a company's logistics network in an integral way

The Impact of Product Recovery on Logistics Network Design

1 A Framework for Reverse Logistics.- 2 Quantitative Models for Reverse Logistics Decision Making.- 3 Managing Product Returns: The Role of Forecasting.- 4 Reverse Logistics Network Design.- 5 Collection and Vehicle Routing Issues in Reverse Logistics.- 6 Product Returns: Handling and Warehousing Issues.- 7 Lot Sizing Decisions in Product Recovery Management.- 8 Stochastic Inventory Control for Product Recovery.- 9 Managing Dynamic Product Recovery.- 10 Production Planning for Product Recovery Management.- 11 Valuation of Inventories in Product Recovery Systems.- 12 Coordination in Closed-Loop Supply Chains.- 13 Long-term Analysis of Closed-loop Supply Chains.- 14 LCA for Evaluating End-of-life Options of Spent Products.- 15 Models for Eco-eco Closed-loop Supply Chain Optimization.- 16 ICT Enabling Reverse Logistics.- Append.- Notation.- References.

https://www.jstor.org/stable/pdfplus/4102052.pdf

Reverse logistics : quantitative models for closed-loop supply chains

E-fulfillment and multi-channel distribution – A review

I. Reverse Logistics: An Introduction.- 1. Introduction.- 1.1 Scope and Definition of Reverse Logistics.- 1.2 Research Goals and Methodology.- 1.3 Outline of this Monograph.- 2. Reverse Logistics at IBM: An Illustrative Case.- 3. Structuring the Field.- 3.1 Dimensions of the Reverse Logistics Context.- 3.2 Categories of Reverse Logistics Flows.- 3.3 Literature Review.- 3.3.1 General Reverse Logistics Issues.- 3.3.2 Marketing Channels for Reverse Logistics Flows.- 3.3.3 Production and Operations Management Issues.- II. Reverse Logistics: Distribution Management Issues.- 4. Product Recovery Networks.- 4.1 Introduction to Reverse Distribution.- 4.2 Evidence from Current Practice.- 4.3 Recovery Network Characteristics.- 4.3.1 Commonalities of the Surveyed Business Cases.- 4.3.2 Comparison with Other Logistics Networks.- 4.4 Classification of Recovery Networks.- 4.4.1 Dimensions of the Network Context.- 4.4.2 Product Recovery Network Types.- 4.5 Vehicle Routing Issues.- 5. A Facility Location Model for Recovery Network Design.- 5.1 Recovery Network Design Models in Literature.- 5.2 A Generic Recovery Network Model.- 5.3 Examples.- 5.3.1 Example 5.1: Copier Remanufacturing.- 5.3.2 Example 5.2: Paper Recycling.- 5.4 Parametric Analysis and Network Robustness.- 5.5 Extensions.- Conclusions of Part II.- III. Reverse Logistics: Inventory Management Issues.- 6. Inventory Systems with Reverse Logistics.- 6.1 Exemplary Business Cases.- 6.2 Characteristics of Recoverable Inventory Management.- 6.3 A Review of Inventory Models in Reverse Logistics.- 6.3.1 Deterministic Models.- 6.3.2 Stochastic Periodic Review Models.- 6.3.3 Stochastic Continuous Review Models.- 7. Impact of Inbound Flows.- 7.1 A Basic Inventory Model with Item Returns.- 7.2 The Unit Demand Case.- 7.3 General Demand Case: Analysis of the Cost Function.- 7.4 General Demand Case: Optimal Policy Structure.- 7.5 Numerical Examples.- 7.6 Extensions.- 8. Impact of Multiple Sources.- 8.1 Tradeoffs Between Recovery and Procurement.- 8.2 The Capacity Aspect of Product Returns.- Conclusions of Part III.- IV. Reverse Logistics: Lessons Learned.- 9. Integration of Product Recovery into Spare Parts Management at IBM.- 9.1 The Current Dismantling Process.- 9.2 Logistics Alternatives for Integrating Dismantling.- 9.2.1 Design of the Dismantling Channel.- 9.2.2 Dismantling Decision Rule.- 9.2.3 Co-ordination with Other Sources.- 9.3 Performance of Alternative Planning Approaches.- 9.3.1 A Simulation Model.- 9.3.2 Numerical Results.- 9.4 Recommendations.- 10. Conclusions.- List of Figures.- List of Tables.- References.

/pdf/quantitative-models-for-reverse-logistics-ydmuhsy8dh.pdf

Moritz Fleischmann

Papers

Quantitative models for reverse logistics: A review

The Impact of Product Recovery on Logistics Network Design

Reverse logistics : quantitative models for closed-loop supply chains

E-fulfillment and multi-channel distribution – A review

Quantitative Models for Reverse Logistics