Prompt Description

Abstract Purpose: The porcelain manufacturing industry is challenged to balance cost efficiency with increasing environmental concerns and consumer demand for health-conscious products. Multi-objective optimization (MOO) offers a potential solution; however, many existing models do not integrate product quality, explicitly compare production methods, or are validated with real-world data. This study addresses these gaps by developing an MOO model to simultaneously minimize total costs, reduce environmental impact, and maximize the delivery of health-compliant products within a porcelain supply chain. Design/Methodology: A multi-objective Mixed-Integer Linear Programming (MILP) model is developed to optimize strategic and tactical decisions, including raw material procurement, selection between traditional (M1) and sustainable (M2) production methods, production scheduling, inventory control, and multi-period distribution planning. The model is implemented