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出 处:《系统管理学报》2011年第5期549-555,共7页Journal of Systems & Management
基 金:国家自然科学基金资助项目(70871038);上海市教育委员会科研创新重点项目(11ZS57;09ZS65);上海市人才发展基金资助项目(2009018);国家科技支撑计划项目(2006-BAB08B01)
摘 要:制造/再制造集成系统是当今制造业发展的趋势。安排不同计划期下考虑生产能力、外包和库存要素的制造/再制造综合生产计划,能够降低再制造过程不确定性和提高企业生产的收益。从原设备生产厂商角度出发,考虑生产能力约束下的批量制造和批量再制造,分别构建以企业期望利润最大化为目标,回收产品到达与市场需求均服从泊松分布,回收产品可利用率服从均匀分布的随机综合制造/再制造混合批量决策模型。具体分为3种情形:无外包和有外包,以及外包下外包再制造能力有限与外包再制造能力无限。其中,市场需求由批量制造和批量再制造来满足。利用随机数学理论(启发式遗传算法)求解单产品下的混合决策模型,研究了回收产品质量可利用率和外包生产能力对批量决策的影响,并通过算例来证实算法的有效性。The integrated manufacturing/remanufacturing is one of the important developments in modern manufacturing industry.A manufacturing/remanufacturing production plan considering production capacity,outsourcing and inventory,may reduce the remanufacturing uncertainty as well as increase the profit of firms.This paper develops a hybrid lot-sizing decision model for manufacturing/remanufacturing with production capacity restriction.In this model,we assume that recycling product arrivals and market demand follow Poisson distribution,probability of reusable recycling products follows uniform distribution,and the objective is to maximize the firm's profit.We consider three different cases: complete manufacturing,with limited outsourcing capacity,and with unlimited outsourcing capacity.The hybrid model is solved by a heuristic genetic algorithm.The effect of probability of usable recycling products and outsourcing capacity on lot-sizing decision is studied,and the validity of algorithm is shown by an example.
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