首页> 外文期刊>Asia-Pacific Journal of Operational Research >Bicriteria Scheduling on a Single Batching Machine with Transportation and Deterioration to Minimize Total Completion Time and Production Costs
【24h】

Bicriteria Scheduling on a Single Batching Machine with Transportation and Deterioration to Minimize Total Completion Time and Production Costs

机译:在具有运输和恶化功能的单个配料机上进行双标准计划,以最大程度地减少总完成时间和生产成本

获取原文
获取原文并翻译 | 示例
       

摘要

In this paper, we consider a coordinated scheduling problem on a single batching machine with transportation and deterioration. The jobs are transported by a vehicle to the single batching machine for further processing. The processing time of a job is a step increasing function of its exposure time which is equivalent to the time interval from the beginning of the transportation to the starting of the job on the machine. The objective is to find Pareto-optimal schedules with two performance criteria (total completion time and the number of batches) to balance the inventory level and the production costs. We prove that the general problem is strongly NP-hard. We further develop polynomial-time algorithms for two special cases with a fixed job sequence and without exposure time limit, respectively. For the general problem, we develop a heuristic algorithm and a branch and bound algorithm. Computational experiments show that the heuristic algorithms perform well on randomly generated problem instances, and the branch and bound algorithm can obtain Pareto-optimal solutions for the small-scaled instances.
机译:在本文中,我们考虑了带有运输和恶化问题的单个配料机上的协调调度问题。作业通过车辆运输到单个配料机进行进一步处理。作业的处理时间是其曝光时间的逐步增加功能,该时间等于从机器上开始运输到开始作业的时间间隔。目的是找到具有两个绩效标准(完成时间总计和批次数量)的帕累托最优计划,以平衡库存水平和生产成本。我们证明了一般问题是强烈的NP困难的。我们进一步开发了针对两种特殊情况的多项式时间算法,这些情况具有固定的工作序列且没有暴露时间限制。针对一般问题,我们开发了一种启发式算法和分支定界算法。计算实验表明,启发式算法在随机生成的问题实例上表现良好,分支定界算法可以为小规模实例获得帕累托最优解。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号