A production network consists of nodes including suppliers, manufacturers, an‎d other economic entities that together form an economic an‎d social ecosystem. This ecosystem pursues two main objectives: ensuring the profitability of its members an‎d meeting the needs of end customers. Traditionally, in order to achieve the goals of the production network, various actors have interacted an‎d operated within a framework known as the supply chain. In recent years, due to increasing competition an‎d the globalization of modern markets, the supply chain paradigm has faced key challenges in fulfilling the two primary goals of the production network—customer satisfaction an‎d profitability. Studies show that the two performance indicators of the supply chain—efficiency an‎d responsiveness—have an inherent trade-off. Given the challenges of the supply chain paradigm in today’s competitive market, an‎d in order to meet the growing expectations of customers an‎d break the trade-off between efficiency an‎d responsiveness, researchers have proposed a new paradigm called the "value chain" to describe interactions among production network actors. The key to the value chain’s success in overcoming the efficiency-responsiveness trade-off lies in the addition of a new performance indicator: effectiveness. To enhance effectiveness, activities known as value chain upgrades are carried out, which aim to identify the real needs of customers an‎d develop products based on those needs. Based on the necessity of shifting from the supply chain paradigm to the value chain paradigm, the goal of this study is to conceptualize a new research stream in the literature of production networks called the "value chain scheduling problem" .This research stream, grounded in the value chain paradigm, offers a new formulation of operational decisions in production networks, specifically focusing on scheduling decisions within these networks. The study demonstrates that transitioning from the supply chain to the value chain paradigm can break the trade-off between efficiency an‎d responsiveness an‎d lead to simultaneous improvement in both indicators.

محمد تمنايي

حميد زارعي

احمدرضا طالبيان , مصطفي زنديه