Smart Master Production Schedule for the Supply Chain: A Conceptual Framework

Risks arising from the effect of disruptions and unsustainable practices constantly push supply chain to uncompetitive positions. A smart production planning control process must successfully address both risks by reducing them, thereby strengthening (SC) resilience its ability survive in long term. On one hand, antidisruptive potential inherent sustainability implications zero-defect manufacturing (ZDM) management model should be highlighted. other digitization virtualization processes Industry 4.0 (I4.0) digital technologies, namely twin (DT) technology, enable new simulation optimization methods, especially combination with machine learning (ML) procedures. This paper reviews state art proposes a ZDM strategy-based conceptual framework that models, optimizes simulates master schedule (MPS) problem maximize service levels SCs. will serve as starting point for developing MPS models algorithms (SC4.0) environments.