摘要
Diagnostic equipment can contribute significantly to production and quality.Maintenance budget however is limited so that having a systematic method for allocating part ofit to diagnostic equipment is of great potential value. In this paper, a deterministic dynamicprogramming model for assisting in determining the optimum policy for investment in diagnosticequipment for multistage production systems is developed. The optimum pelticy is determined interms of the amount of equipment used at each stage of production and yields the maximumreturn for the entire system.
Diagnostic equipment can contribute significantly to production and quality.Maintenance budget however is limited so that having a systematic method for allocating part ofit to diagnostic equipment is of great potential value. In this paper, a deterministic dynamicprogramming model for assisting in determining the optimum policy for investment in diagnosticequipment for multistage production systems is developed. The optimum pelticy is determined interms of the amount of equipment used at each stage of production and yields the maximumreturn for the entire system.
