Supply chain optimization, bolstered by additive manufacturing (AM) capabilities, holds the key to a streamlined and effective manufacturing process. By seamlessly integrating AM into supply chains, enterprises can expedite lead times, drive down expenses, and enhance operational flexibility. In this context, this paper introduces a pioneering bi-objective optimization model tailored to tackle the challenges of sustainable supply chains within the realm of AM. In a novel departure, this study fills a critical research gap by delving into sustainable supply chains through the lens of AM. The overarching objective is to minimize supply chain costs while mitigating production waste and air pollution. This paper underscores the strategic amalgamation of additive and traditional manufacturing (TM) techniques, which collectively pave the way for cost efficiencies and environmental benefits. To realize these goals, this study presents a meticulously designed mixed integer linear programming (MILP) model, thoughtfully constructed using linearization techniques. This model serves as the foundation for crafting a sustainable bi-objective supply chain framework seamlessly encompassing AM capabilities. This exploration spans diverse scenarios, systematically analyzing production waste and air pollution rates across a spectrum of conditions, ranging from minimum to maximum values. Findings unequivocally highlight the potential of the combined AM and TM approach to curtail waste, minimize environmental emissions, and concurrently reduce inventory and transportation costs. Throughout this investigation, this study stresses the pivotal significance of weighing environmental and economic costs during the evaluation of production scenarios, empowering decision-makers to make informed choices that align with corporate objectives. Ultimately, this study not only offers a comprehensive understanding of AM’s impact on supply chains but also serves as a practical guide for supply chain industry decision-makers. By optimizing production and transportation processes, stakeholders can achieve substantial cost savings while upholding standards of quality and operational efficiency.

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