Abstract
Combinatorial resource planning for both machines and human resources in a computer numerical controlled (CNC) machining workstation has become a crucial factor for long-term manufacturing management. This paper not only mathematically constructs the combinatorial manufacturing resource planning (CMRP) model with the conception of balancing the machine productivity and the human capability, but also develops a step-by-step algorithm to reach the maximum-profit solution under the deterministic market demand. Additionally, to extend the applicability of the CMRP model, a computer program written with MATLAB is comprehensively prepared to achieve the optimum manufacturing resource planning under the forecasts of probabilistic market demand and product sales price. The versatility and adaptability of this study are exemplified through a numerical illustration from real-world industry. This paper contributes to the problem of conclusively scheduling machine productivity and human resources, as well as comprehensively optimising the production profit for the existing CNC machining industry .
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