Network optimization for optimal product mix decisions in a graphite mining production process (original) (raw)
International Journal of Industrial Engineering and Operations Management
PurposeThe purpose of this study is to develop a novel general mathematical model to find the optimal product mix of commercial graphite products, which has a complex production process with alternative sub-processes in the graphite mining production process.Design/methodology/approachThe network optimization was adopted to model the complex graphite mining production process through the optimal allocation of raw graphite, byproducts, and saleable products with comparable sub-processes, which has different processing capacities and costs. The model was tested on a selected graphite manufacturing company, and the optimal graphite product mix was determined through the selection of the optimal production process. In addition, sensitivity and scenario analyses were carried out to accommodate uncertainties and to facilitate further managerial decisions.FindingsThe selected graphite mining company mines approximately 400 metric tons of raw graphite per month to produce ten types of graph...
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