Abstract.A block replacement schedule can be optimized simultaneously with a spare parts ordering schedule, since all items are replaced at a constant interval. The solution of joint optimization for spare parts ordering time and block replacement gives lower costs compared to separate optimization of ordering time and replacement time. The spare parts for replacement can be classified as stochastic demand for failure replacement and deterministic demand for block replacement. In this paper, we propose a simulation model for a separate spare parts ordering schedule. The solution was compared to the solution for a model with common spare parts for both failure and block replacement. The system has N identical components, each with a Weibull lifetime distribution. The costs of failure and block replacements, and also the costs of ordering, holding and shortage of spare parts are given. The proposed model was shown to perform better than the common order model. Also, compared to the age replacement model, the solution of the proposed model is relatively similar, yet the economies of scale would be an advantage for the block replacement over age replacement.
This paper presents the application of a sweep algorithm to optimize distribution route of a Capacitated Vehicle Routing Problem (CVRP). The objective of this research is to find a set of optimal routes that minimizes the number of vehicles required and total distance travelled for all vehicles to serve customers. The algorithm consists of two phases, a clustering phase and a route generation phase. Experimental results from its application to a real-world case of PT Eastern Pearl Flour Mills, Indonesia are presented. The obtained vehicle routes which are compared against the existing daily distribution routes showing that significant savings can be gained on the daily cost of transportation related expenses. The number of vehicle routes and vehicle used for delivery are reduced and therefore, the distance travelled and the utilization of the vehicles are also improved. The algorithm applied in this research would be suitable for solving practical vehicle routing optimization problems in other logistics companies.
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