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A Flow Shop Scheduling Problem with Transportation Time and Separated Setup Time of Jobs

机译:运输时间和分离的作业设置时间的流店调度问题

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A flowshop scheduling problem has been one of the classical problems in production scheduling since Johnson proposed the well-known Johnson's rule in the two-stage flow-shop make-span scheduling problem. Mitten and Johnson (1959) separately gave solution algorithm of obtaining an optimal sequence for an 'n-job, 2-machine' flow shop scheduling problem in which each job involves arbitrary time lags (start-lag, stop-lag). Also Maggu and Das (1980) gives solution algorithm of obtaining optimal sequence for a ' n-job, 2-machine' flow shop scheduling problem where in each job involves transportation time. Johnson (1959) presented a solution to the n-job, 2-machine flow-shop problem with an algorithm that produces an ordered sequence with minimum total elapsed time. Kim and Bobrowski (1994) present a computer simulation model for a limited machine job shop scheduling problem with sequence-dependent setup times. They study the influence of setup times and due date's information in priority rules performance for job-shop problem with setup times. S. M. Johnson (1954) presents optimal two and three stage production schedules with setup time included. Wlodzimierz Szwarc (1986) discussed the flow shop problem with time lags and separated setup times. C.T. Ng et al. (2007) presents the three-machine flow-shop scheduling problem to rmnimize maximum lateness with separate setup times. W. H. Yang et al. (1999) addressed a survey of scheduling research involving setup times. An overall view on set up times in sequencing problems is presented. In this paper, we addressed the three machine flow shop scheduling problem to minimize total completion time where setup times are treated as separate from processing times. Two cases are studied, taking into consideration these factors and the set up times separated from the processing times. This new algorithm provides an optimal scheduling sequence for flow-shop scheduling problems of 5-jobs on 3-machines and is proposed by using separated setup times of a job. The present paper is a modest attempt to investigate how the setup time is helpful for the production.
机译:自从Johnson在两级流店制作调度问题中提出了着名的约翰逊的规则以来,流程调度问题一直是生产计划中的经典问题之一。手套和约翰逊(1959)分别地提供了用于获得“N-ob,2机器”流店调度问题的最佳顺序的解决方案算法,其中每个作业涉及任意时间滞后(START-LAG,STOP-LAG)。还Maggu和DAS(1980)给出了获得最佳序列为“正作业,2-机”流水车间调度问题其中在每一作业涉及到运输时间的求解算法。 Johnson(1959)向N-job提供了一个解决方案,使用了一种算法,该算法产生了具有最小经过时间的有序序列的算法。 Kim和Bobrowski(1994)为有限机床作业商店调度问题提供了一种计算机仿真模型,具有序列依赖的设置时间。他们研究了建立时间对工作店问题的优先级规则表现中的设置时间和截止日期的影响。 S. M. Johnson(1954)介绍了包括设置时间的最佳二和三阶段生产计划。 Wlodzimierz Szwarc(1986)讨论了时间滞后和分离的设置时间的流店问题。 C.T. ng等人。 (2007)提出了三机流水作业调度问题rmnimize具有单独设置时间最大延迟。 W. H. Yang等人。 (1999)讨论了涉及设置时间的调度研究调查。介绍了在排序问题中设置时间的整体视图。在本文中,我们解决了三种机器流量店调度问题,以最大限度地减少设置时间与处理时间分开的完整完成时间。研究了两种情况,考虑到这些因素,并与加工时间分开的设置。这种新算法为3机上的5个作业的流程图调度问题提供了最佳调度序列,并通过使用作业的分离的设置时间来提出。本文是一个适度的尝试,调查设置时间如何有助于生产。

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