CAJ | 학술논문

为了从整体角度优化调度供应链网络的各个环节,研究了带软时间窗的分批配送问题及其对需求分配与生产调度的影响,考虑在满足一定客户满意度水平条件下的最小化运作成本.建立了该问题的模型,针对此模型设计了协同进化粒子群优化算法并进行求解.通过实验研究表明,软时间窗对于问题的运作成本有很大的影响,整个供应链网络的协同优化对降低运作成本起到了关键的作用.
위료종정체각도우화조도공응련망락적각개배절,연구료대연시간창적분비배송문제급기대수구분배여생산조도적영향,고필재만족일정객호만의도수평조건하적최소화운작성본.건립료해문제적모형,침대차모형설계료협동진화입자군우화산법병진행구해.통과실험연구표명,연시간창대우문제적운작성본유흔대적영향,정개공응련망락적협동우화대강저운작성본기도료관건적작용.
To perform overall optimizing the scheduling of each entity in supply chain network, the batching delivery problem with soft time windows and its impact on the requirement distribution and production scheduling in manu-facturing enterprises were studied. How to minimize operation costs while satisfying certain customer service level was also considered. To deal with these problems, a model considering requirement distribution, scheduling and the batching delivery was constructed. And a co-evolutionary Particle Swarm Optimization (PSO) algorithm was devel-oped to tackle the production scheduling and batching delivery problems. Two experiments were carried out, and the computation results showed that the effect of soft time window was critical, and the proposed algorithms played im-portant role in reducing operation cost in collaborative optimization in supply chain networks.