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Development of a heuristic algorithm for finding optimum machine loading sequence in fabrication shop with job shop layout

机译:作业商店布局在制造商店寻找最佳机床装载序列的启发式算法

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Sequencing and scheduling techniques are the means for taking decisions about the order and time in which a set of jobs are to be processed through a set of machine(s) to get the output of finished products in a desired order and time. Among all the industries where the scheduling problem exists, Job Shop Scheduling (JSS) problem is considered to be the most difficult and complicated one to be solved and as such it is considered to be a Nondeterministic Polynomial time - hard (NP-hard) category problem. Hence, the number of techniques developed so far is not enough to compute the optimum results. Looking at this aspect, the present work is an attempt to solve JSS problem by developing a heuristic algorithm. The data are collected from the fabrication shop of a sheet metal processing industry with Job Shop (JS) layout. It is found that the algorithm is useful in minimizing the values of makespan and machine idle time along with reduced number of new machine setups required. To test its validity, the collected data are also analysed by using some standard dispatching rules and when the results are compared, it is found that the developed algorithm is producing better results. Moreover, by following the obtained sequence, it is seen that the inter-departmental co-ordination is established and internal customer satisfaction is attained in respect of components' availability at the time of their requirement.
机译:测序和调度技术是用于采取关于通过一组机器处理一组工作的订单和时间的决定的装置,以便以期望的顺序和时间获取成品的输出。在所存在的调度问题的所有行业中,作业商店调度(JSS)问题被认为是最困难和复杂的一个待解决的问题,因此它被认为是一个非确定性多项式时间 - 硬(NP-Hard)类别问题。因此,到目前为止所开发的技术数量不足以计算最佳结果。看这个方面,目前的作品是通过开发启发式算法来解决JSS问题。这些数据由带有作业商店(JS)布局的钣金加工行业的制造商店收集。结果发现,该算法可用于最小化MakEspan和机器空闲时间的值以及所需的减少数量的新机器设置。为了测试其有效性,还通过使用一些标准调度规则来分析收集的数据,并且当比较结果时,发现开发算法正在产生更好的结果。此外,通过遵循所获得的序列,可以看出,建立部门间协调,并在其要求时的组件可用性方面实现了内部客户满意度。

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