摘要
把拍卖和市场理念引入到生产计划的求解过程中,结合多Agent理论,对大规模生产系统按生产单元建立分布式模型。各个生产单元看作相对独立核算的经济实体,其目标是实现自身利益最大化。当生产能力足够时,按照需求进行生产;当生产能力不足以完全满足需求时,紧缺生产资源的持有者按照单位能力获得最大收益的原则进行生产竞价与拍卖,实现了各个生产单元的分布式自主协商决策,并设计了求解算法。算例研究证明该方法的可操作性和求解的有效性。
The capacity bidding and market theory are introduced in this paper to produce a distributed decision model for aggregative production planning （APP） problem. This model is based on multi-agent system, and each activity unit is regarded as a self-governed agent, the goal of which is to obtain maximum profit. Multi agents are bidding for the capacity of previous agent. According to its capacity and the price sent by its lower agents, the owner of capacity makes decision in order to obtain maximum profit. In this distributed model, every activity unit can make its own production decision. This paper also presents the algorithm for the distributed model, and the numeric study proves that the decision model and algorithm is effective：
出处
《工业工程》
2007年第6期76-81,共6页
Industrial Engineering Journal
基金
国家自然科学基金资助项目(70501002)
关键词
综合生产计划
能力拍卖
多AGENT
aggregative production planning
capacity bidding
multi-agent
