论文部分内容阅读
为研究多品种批量制造环境下由于供应商交货数量不确定造成物料不齐套进而导致生产计划不可行的问题,以多个供应商和单个制造商组成的二级供应链为背景,提出面向生产过程的供应商选择与订货量分配模型。以包含订货、采购、库存以及拖期惩罚成本的期望总成本最小化为目标,在传统供应商能力限制、订货数量区间要求以及产品生产调度约束的基础上,考虑允许供应商延期交货且拖期时间依赖供应商可靠度的情形,建立了相应的混合整数随机规划模型。针对所研究问题的复杂性及模型特点,采用基于局部搜索和变异机制的改进离散粒子群优化算法对模型进行求解,结合具体交货情景下的工程实例对模型可行性进行了验证,通过与其他方法进行比较,表明所提算法的有效性。
In order to study the problem of infeasible production planning due to the lack of material delivery due to the uncertain delivery volume of suppliers in the multi-species batch manufacturing environment, a secondary supply chain consisting of multiple suppliers and individual manufacturers was proposed as the background. Supplier Selection and Order Quantity Allocation Model in Production Process. With the objective of minimizing the total expected cost of ordering, purchasing, inventory and penalty costs, based on traditional supplier capacity constraints, order quantity interval requirements, and product manufacturing scheduling constraints, it is considered to allow suppliers to delay delivery and tow The time dependent on the reliability of suppliers, the corresponding mixed integer stochastic programming model was established. According to the complexity of the problem and model features, the improved discrete particle swarm optimization algorithm based on local search and mutation mechanism was used to solve the model. The feasibility of the model was verified by engineering examples under specific delivery scenarios. Methods are compared to show the validity of the proposed algorithm.