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首页> 外文期刊>Fuzzy Optimization and Decision Making: A Journal of Modeling and Computation Under Uncertainty >Single Machine Batch Scheduling Problem with Resource Dependent Setup and Processing Time in the Presence of Fuzzy Due Date
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Single Machine Batch Scheduling Problem with Resource Dependent Setup and Processing Time in the Presence of Fuzzy Due Date

机译:存在模糊截止日期且资源依赖的设置和处理时间的单机批量调度问题

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摘要

We consider a batch scheduling problem on a single machine which processes jobs with resource dependent setup and processing time in the presence of fuzzy due-dates given as follows: 1. There are n independent non-preemptive and simultaneously available jobs processed on a single machine in batches. Each job j has a processing time and a due-date, 2. All jobs in a batch are completed togetherupon the completion of the last job in the batch. The batch processing time is equal to the sum of the processing times of its jobs. A common machine setup time is required before the processing of each batch. 3. Both the job processing times and the setup time can be compressed through allocation of a contin uously divisible resource. Each job uses the same amount of the resource. Each setup also uses the same amount of the resource. 4 The due-date of each job is flexible. That is, a membership function describing non-decreasing satisfaction degree about completion time of each job is defined. 5. Under above setting, we find an optimal batch sequence and resource values such that the total weighted resource consumption is minimized subject to meeting the job due-dates, and minimal satisfaction degree about each due-date of each job is maximized. But usually we cannot optimize two objectives at a time. So we seek non-dominated pairs i.e.. the batch sequence and resource value, after defining dominance between solutions. A polynomial algorithm is constructed based on linear programming formulations of the corresponding problems.
机译:我们考虑在一台机器上的批处理调度问题,该机器在存在如下模糊截止日期的情况下处理与资源相关的设置和处理时间的作业:1.在单台机器上处理n个独立的非抢先且同时可用的作业分批。每个作业j都有一个处理时间和截止日期2。批次中的所有作业在该批次中的最后一个作业完成时一起完成。批处理时间等于其作业的处理时间之和。在处理每个批次之前,需要一个通用的机器设置时间。 3.可以通过分配连续可分割的资源来压缩作业处理时间和设置时间。每个作业使用相同数量的资源。每个设置还使用相同数量的资源。 4每个工作的截止日期是灵活的。即,定义了描述关于每个作业的完成时间的不降低的满意度的隶属度函数。 5.在上述设置下,我们找到了最佳的批处理顺序和资源值,以便在满足工作截止日期的情况下将总加权资源消耗最小化,并且使每个工作的每个截止日期的最小满意度达到最大。但是通常我们不能一次优化两个目标。因此,在定义解决方案之间的支配地位后,我们寻求非支配对,即批次顺序和资源价值。基于相应问题的线性规划公式构造多项式算法。

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