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

Facility location and supply chain management - A review

https://findresearcher.sdu.dk:8443/ws/files/116118561/reverse_logistics.pdf

Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future

https://isiarticles.com/bundles/Article/pre/pdf/12093.pdf

Research on warehouse operation: A comprehensive review

A survey of berth allocation and quay crane scheduling problems in container terminals

A reverse logistics decisions conceptual framework

Foreword.- Contributing Authors.- Preface.- The Network of Logistics Decisions.- Facility Location in Supply Chain Design.- Distribution Centres in Supply Chain Operations.- Operational Research Methods for Efficient Warehousing.- Models and Methods for Facilities Layout Design from an Applicability to Real-World Perspective.- The Design, Planning, and Optimization of Reverse Logistics Networks.- Models and Methods for Operations in Port Container Terminals.- Strategic Network Design for Motor Carriers.- New Heuristics for the Vehicle Routing Problem.- Routing Propane Deliveries.- Synchronized Production-Distribution Planning in the Pulp and Paper Industry.- Production Planning Optimization Modeling in Demand and Supply Chains of High-Value Consumer Products.

Logistics systems : design and optimization

Integrated production and material handling scheduling using mathematical programming and constraint programming

Integrated Production and Material Handling Scheduling Using Mathematical Programming and Constraint Programming

This article presents an exact solution approach for the problem of the simultaneous dispatching and conflict-free routing of automated guided vehicles. The vehicles carry out material handling tasks in a flexible manufacturing system (FMS). The objective is to minimize the costs related to the production delays. The approach is based on a set partitioning formulation. The proposed model is solved to optimality by a column generation method, which is embedded in a branch-and-cut exploration tree. The proposed model and solution methodology are tested on several scenarios with up to four vehicles in the manufacturing system. The results show that most of these scenarios can be solved to optimality in less than three minutes of computational time.

Diane Riopel

Papers

A reverse logistics decisions conceptual framework

Logistics systems : design and optimization

Integrated production and material handling scheduling using mathematical programming and constraint programming

Integrated Production and Material Handling Scheduling Using Mathematical Programming and Constraint Programming

Dispatching and Conflict-Free Routing of Automated Guided Vehicles: An Exact Approach