Drawing upon an extensive review of existing literature on supply chain decision models, the proposed framework is divided into five distinct stages. The first stage involves defining the key actors and operations within the supply chain. Next, the model's parameters, variables, and performance metrics are established in order to capture the relevant economic and environmental aspects. The third stage focuses on defining the modeling process itself, ensuring that it captures the complexities of the supply chain system while incorporating the desired sustainability goals. To ensure the reliability and effectiveness of the model, the fourth stage emphasizes the importance of verifying, pre-testing, and validating the proposed framework. Rigorous testing and validation procedures help confirm that the model accurately represents the intricacies of the supply chain and successfully integrates economic and environmental factors. Finally, the fifth stage involves selecting an appropriate solution approach, considering the specific requirements and goals of the supply chain under consideration. By offering valuable insights into the development of accurate decision models and their corresponding solutions, this framework makes a significant contribution to the existing body of knowledge. It equips modelers with the necessary guidance to improve sustainability performance within the supply chain while taking into account the crucial aspects of both economic and environmental considerations.
Ahi, P., and Searcy, C. (2011). A comparative literature analysis of definitions for green and sustainable supply chain management. Journal of Cleaner Production. 52, pp. 329-341.
Arshinder, K. A., and Deshmukh, S. G. (2008). Supply chain coordination: Perspectives, empirical studies and research directions. International Journal of Production Economics. 115, pp. 316-335.
Brandenburg, M., Govindan, K., Sarkis, J., and Seuring, S. (2014). Quantitative models for sustainable supply chain management: Developments and directions. European Journal of Operational Research. 233, pp. 299–312.
Chaabane, A., Ramudhin, A., and Paquet, M. (2012). Design of sustainable supply chains under the emission trading scheme. International Journal of Production Economics. 135, pp. 37-49.
Gunasekaran, A., Patel, C., and McGaughey, R. E. (2004). A framework for supply chain performance measurement. International Journal of Production Economics. 87(3), pp. 333-347.
Hua, G., Cheng, T. C. E., and Wang, S. (2011) Managing carbon footprints in inventory management. International Journal of Production Economics. 132, pp. 178-185.
IPCC. (2007). Climate change 2007: the physical science basis /http://www.ipcc. ch/pdf/assessment-report/ar4/wg1/ar4-wg1-spm.pdf, accessed on 24/09/2016.
Jaber, M. Y., Glock, C. H., and El Saadany, A. M. A. (2013). Supply chain coordination with emission reduction incentives. International Journal of Production Research 51 (1), pp. 69-82.
Manuj, I., and Sahin, F. (2011). A model of supply chain and supply chain decision-making complexity. International Journal of Physical Distribution & Logistics Management. 41 (5), pp. 511-549.
Nouira, I., Frein, Y., and Hadj-Alouane, A B. (2014). Optimization of manufacturing systems under environmental considerations for a greenness-dependent demand. International Journal of Production Economics. 150, pp.188-198.
Seuring, S. (2013). A review of modeling approaches for sustainable supply chain management. Decision Support System. 54, pp. 1513-1520.
Seuring, S., and Muller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal of Cleaner Production. 16(15), pp. 1699–1710.
Tseng, S., and Hung, S. (2014). A strategic decision-making model considering the social costs of carbon dioxide emissions for sustainable supply chain management. Journal of environmental management. 133, pp. 315-322.
Nouira, I., Hammami, R., Frein, Y. (2016). Design of forward supply chains: Impact of a carbon emissions-sensitive demand. International Journal of Production Economics. 173, pp. 80-98.
Mohajeri, A., and Fallah, M. (2015). A carbon footprint-based closed-loop supply chain model under uncertainty with risk analysis: A case study. Transportation Research Part D. 48, pp. 425-250.
