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In order for companies to achieve and maintain success in the long run, they need to develop supply chains that are sustainable in economic, environmental and societal terms. The efforts to balance that triple bottom line of sustainability will require framework, guidelines, and also references from academic and industry perspectives. The existing literature in this subject area have studied the conceptual and theoretical work on the scope of sustainability, the development of sustainability framework, and identifying the important factors for sustainable supply chain management (SSCM) design and implementation. In addition, research on the quantitative aspect of SSCM have emerged in recent years. This paper intends to focus on research that incorporate sustainability consideration into operational decision making in the supply chain. Particularly, the scope of the review will be on studies that integrate the economic and environmental aspects of SSCM in the decision support systems. The modelling approaches, methodologies, as well as major findings will be highlighted in the review. The review could be used as a reference for researchers who are interested to know in-depth about the recent quantitative works in the SSCM field. [ABSTRACT FROM AUTHOR]

The consequences of disruption to a supply chain can be damaging and costly. A firm's management needs to utilize its resources effectively to minimize the economic, and possibly environmental impact. This paper proposes the recovery model of a two stage serial supply chain subject to supply disruption. The system consists of a single manufacturer and a single retailer, subject to random supply disruption. The manufacturer keeps extra inventory as safety stock to be used at the time of disruption. In addition, the system may have stockouts in the form of partial backorders and lost sales. This study will incorporate the environmental effect consideration in the recovery model by including the carbon dioxide emission caused by the transportation activities during the recovery cycle. The objective of the optimization model is to determine (1) the new recovery schedule of the manufacturer and retailer, (2) the optimal quantity for safety stock, and (3) the carbon emission cost impact during recovery. The model developed is solved using LINGO, where numerical examples and sensitivity analysis are provided to test the feasibility of the model. The result of this study is an introduction of a recovery model that incorporates environmental consideration in the disruption recovery decision-making process. [ABSTRACT FROM AUTHOR]