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

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

Quantitative models for reverse logistics: A review

Variable neighborhood search: Principles and applications

* Starting from Need* Evolution of the Toyota Production System* Further Development* Genealogy of the Toyota Production System* The True Intention of the Ford System* Surviving the Low-Growth Period

Toyota production system : beyond large-scale production

Facility location and supply chain management - A review

Operations planning for a multi-stage kanban system

Sarker and Parija have developed a model for obtaining the optimal batch size for a single-product manufacturing system operating under a fixed-quantity, periodic delivery policy. In this work, the model is extended to a multi-product situation and a single-facility scheduling scheme is developed for the system. Two situations are considered—one with fixed setup cost and the other with variable setup cost. It is observed that setup cost variability is beneficial to the system under certain conditions.

https://link.springer.com/content/pdf/10.1057%2Fjors.1996.118.pdf

Cyclic Scheduling for a Multi-product, Single-facility Production System Operating Under a Just-in-time Delivery Policy

Designing a mixed-model assembly line to minimize the costs of idle and utility times

Because of bottleneck machines, the assignment of machine-cells to locations is interrelated with the machines' relative locations, and it makes the problem complicated to solve optimally. This paper prescribes an assignment of machine-cells to linear locations in order to minimize the inter-cell material handling cost incurred due to bottleneck machines in a cellular manufacturing system. This problem is formulated as a quadratic assignment problem (QAP). The optimal results can be obtained for a limited size of QAP. A 3-pair comparison heuristic is devised to partially overcome the dimensional problem for solving a large example. Later, an improvement heuristic called the 'bubble search' technique is developed to obtain a better solution, followed by the development of a lower bound on the QAP problem. Numerical examples are presented to illustrate the two heuristic procedures. A comparison between the optimal and heuristic solutions is also provided to evaluate the performance of the heuristics. Empiri...

Locating cells with bottleneck machines in cellular manufacturing systems

To address the uncertainty of production environment in assembly job shop, in combination of the real-time feature of reinforcement learning, a dual Q-learning (D-Q) method is proposed to enhance t...

Bhaba R. Sarker

Papers

Operations planning for a multi-stage kanban system

Cyclic Scheduling for a Multi-product, Single-facility Production System Operating Under a Just-in-time Delivery Policy

Designing a mixed-model assembly line to minimize the costs of idle and utility times

Locating cells with bottleneck machines in cellular manufacturing systems

Adaptive scheduling for assembly job shop with uncertain assembly times based on dual Q-learning