期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2013
卷号：2
期号：12
页码：3455-3464
出版社：IJECS
摘要：This paper presents an optimization based method to overcome the demands for multi-period production capacityplanning by identifying the resources for the future months. Capacity planning plays an important role in all the manufacturingcompanies. The demand which has been forecasted by the company is totally delivered to the customers by the perfectproduction planning. Here we use Genetic Algorithm as the optimization tool for finding the optimal solution to minimize theproduction cost for six months to maximize the profit. The production cost must be minimized as much as possible andInventories levels should be perfectly maintained, so the profit will be automatically increased. The inventory management alsoplays an important role in supply chain management. Inventory optimization is the real time works for the engineers those whoare in the top administrative level. So here we concentrate on the main costs like Material cost, Inventory cost, Marginal cost ofbacklog, Hiring and Training cost, Lay-off cost, Regular time cost, Over time cost and cost of sub-contracting for allocating it byconsidering the demands of six months. Here we focus on generating an optimal schedule for the production for six months byfixing forty eight variables
