基于PSO的多产品多供应商有提前期库存优化
Efficient Inventory Optimization of Multi Product, Multiple Suppliers with Lead Time using PSO
摘要：
随着信息革命、全球化和竞争的加剧，供应链变得比以往任何时候都更长、更复杂。这些发展使供应链管理成为管理层关注的焦点。库存在供应链中非常重要。库存的总投资是巨大的，库存管理是至关重要的，以避免短缺或交货延误的客户和严重消耗公司的财务资源。供应链成本的增加，因为提前期的影响，供应股票以及原材料。实际上，在所有的时期，交货时间不会相同。为了避免高交货期的影响而保持充足的库存增加了持有成本。同样地，由于大概的交货时间而保持较少的库存可能导致库存短缺。这也发生在涉及原材料供应的交货时间的情况下。一个更好的优化方法，利用粒子群优化算法，最好的优化算法之一，提出了克服僵局，在维持最优库存水平的供应链中的每个成员。考虑到库存水平，从而获得从拟议的方法，一个适当的库存水平，以保持在即将到来的时期，将最大限度地减少供应链库存成本可以到达。
英文摘要：
With information revolution, increased globalization and competition, supply chain has become longer and more complicated than ever before. These developments bring supply chain management to the forefront of the managements attention. Inventories are very important in a supply chain. The total investment in inventories is enormous, and the management of inventory is crucial to avoid shortages or delivery delays for the customers and serious drain on a companys financial resources. The supply chain cost increases because of the influence of lead times for supplying the stocks as well as the raw materials. Practically, the lead times will not be same through out all the periods. Maintaining abundant stocks in order to avoid the impact of high lead time increases the holding cost. Similarly, maintaining fewer stocks because of ballpark lead time may lead to shortage of stocks. This also happens in the case of lead time involved in supplying raw materials. A better optimization methodology that utilizes the Particle Swarm Optimization algorithm, one of the best optimization algorithms, is proposed to overcome the impasse in maintaining the optimal stock levels in each member of the supply chain. Taking into account the stock levels thus obtained from the proposed methodology, an appropriate stock levels to be maintained in the approaching periods that will minimize the supply chain inventory cost can be arrived at.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
