CONICET | Buscador de Institutos y Recursos Humanos

A supply chain (SC) is made up of different companies working in an integrated manner to generate products or services and distribute them to a group of consumers. Bearing in mind that these companies have different abilities and capabilities, it is necessary to make decisions to achieve efficient coordination among their members and thus guarantee successful SC operation and growth.Numerous articles have presented studies and evaluations about SC performance from different points of view, emphasizing the competitive advantages of partners working together. When SC operation is assessed, the question about the appropriate measures arises, taking into account that SCs must be considered in a holistic perspective (Anand and Grove, 2015). Clearly, a single measure cannot grasp the different required perspectives and the trade-offs between them. Many metrics such as reliability, efficiency, responsiveness, and flexibility have been developed to evaluate SC performance. Generally, economic results have been emphasized, and some works have even included/introduced the environmental perspective. Beyond the achieved results using different metrics, previous studies focus their analyses globally without considering the impact on each of the involved partners.Regardless of how SC performance is measured, the evaluation must focus on the relationship between optimal SC development and the proper operation of each member. In most real-world SC, the optimal global results following different metrics neither match nor have a direct link with local results achieved by members. In many cases, some decisions that optimize SC performance negatively affect some of its members. Therefore, an approach is needed that allows not only SC performance optimization but also the proper operation of its members and, fundamentally, an adequate evaluation of these trade-offs.In this work, economic, operational, and environmental indicators are considered, and the assessment is carried out using a linear programming model. The forest SC is used as an example for this evaluation because of the complex compromise between competition and cooperation among its members, but this analysis can be implemented in other industries.First, the influence of several indicators on the global SC performance is analyzed, evaluating the trade-offs that exist among them. Then, for each indicator, the individual performance of each SC member is optimized and compared with the global performance to assess the influence of each criterion on each members behavior. Finally, a new approach is proposed, which simultaneously considers the evaluated indicators to enable equitable distribution of efforts among SC members. In this way, the proposed approach allows the decision maker to properly evaluate SC from a holistic perspective.

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