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This paper provides a systematic review and analysis of the game-theroy-based research in Green Supply Chains Management (GSCM). Based on a rigorous content analysis of 108 papers carefully selected from the literature, we present a detailed picture of the current state of this research and point to the promising future directions. Our analysis shows a rapid increase in the number of publications during the last three years, with an imbalance in the contribution of the publishing outlets, as nearly two third of the reviewed papers are published by only four journals. Results also show the dominance of deterministic static models and simple two-level SC structures. Developing stochastic models, considering the risk and the evolutionary nature that inherently characterise the business environment and investigating more complex multi-level SC structures are among the promising future research opportunities. [ABSTRACT FROM AUTHOR]

In this study, we develop a branch and bound solution algorithm to solve the workload smoothing problem. Our algorithm incorporates new formulas for dynamically computing a lower bound on the optimal value of the objective function and for determining the earliest workstations for tasks. It also uses a fast heuristic for computing a good initial upper bound. A comprehensive experimental analysis is conducted in this study. The analysis demonstrates the outstanding performance of the algorithm and its efficiency in solving medium-sized workload smoothing problems. [ABSTRACT FROM AUTHOR]

This article presents a deterministic model for jointly optimising pricing and inventory control of a perishable product subject to both physical deterioration and freshness condition degradation. The demand for the product depends on its price, the current inventory level and the freshness condition. Our model allows for any positive amount of end-of-cycle inventory. Conditions for the existence and uniqueness of an optimal solution of the model are developed and an algorithm is suggested to find the optimal values of the price, the cycle length, the order quantity, and the end-of-cycle inventory. Then, numerical examples are given, and sensitivity analysis is performed. Our study contributes to satisfying the need for inventory models that consider simultaneous physical deterioration and freshness degradation of perishable products along with price-, age- and stock-dependent demand. [ABSTRACT FROM AUTHOR]

In this study, we establish a set of 19 influential factors on the implementation of Green Supply Chain Management (GSCM) practices and analyse the interaction between these factors and their effect on the implementation of GSCM practices using the Interpretive Structural Modelling (ISM) method and the "Matrice d'Impacts Croisés Multiplication Appliquée à un Classement" (MICMAC) analysis on data compiled from interviews with supply chain (SC) executives based in the Gulf countries (Middle East region). The study reveals a strong influence and driving power of the nature of the relationships between SC partners on the implementation of GSCM practices. We especially found that dependence, trust, and durability of the relationship with SC partners have a very high influence. In addition, the size of the company, the top management commitment, the implementation of quality management and the employees training and education exert a critical influence on the implementation of GSCM practices. Contextual elements such as the industry sector and region and their effect on the prominence of specific factors are also highlighted through our study. Finally, implications for research and practice are discussed., (Copyright © 2016 Elsevier Ltd. All rights reserved.)