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Distribution is the challenging and interesting problem to be solved. Distribution problems have many facets to be resolved because it is too complex problems such as limited multi-level with one product, one-level and multi-product even desirable in terms of cost also has several different versions. In this study is proposed using an adaptive gene...
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... this study, the proposed algorithm is an adaptive genetic algorithm that adaptive the results of the fitness function based on the number of new individual candidates generated from the primary process, namely genetic algorithm crossover and mutation. The test results are shown in Table 3 and it can be seen that the adaptive genetic algorithm is superior and able to provide the best average fitness value than the classic algorithms. The difference of proposed algorithm and the classic algorithm is Rp 894.100 and with random search is Rp 14.692.700. ...
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Citations
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This study investigated model for line balancing in multi eschelon and multi product. A cement company which have 4 integrated plant consist of multi-eschelon 4 rawmill, 4 kiln, 9 finish mill with multi-product OPC and PCC. This paper proposed production cement plant mathematical model using mixed integer linear programming (MILP). The main objective of the model is minimize cost by changing decision variable production rate (ton/hour) and product allocation route. Constraint is demand fulfillment of multi product, inventory and production balancing, inventory and production min/max production. Furthermore, the improvement recommendation also will be declared in order to reduce production cost.The implication practice of proposed model of line balancing in multi-eschelon multi product continuous production is production manager could develop production planning and manage production rate in order to reduce production cost during multi period.
