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

机译:开发一种启发式算法,以找到具有车间布局的制造车间中的最佳机器装载顺序

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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:排序和调度技术是一种用于决定顺序和时间的方法,在该顺序和时间中,一组作业将通过一组机器进行处理,以按期望的顺序和时间获得成品的输出。在存在调度问题的所有行业中,作业车间调度(JSS)问题被认为是最难解决且最复杂的问题,因此,它被视为非确定性多项式时间-困难(NP-hard)类别问题。因此,迄今为止开发的技术数量不足以计算最佳结果。从这个方面来看,当前的工作是通过开发启发式算法来解决JSS问题的尝试。数据从钣金加工行业的制造车间以Job Shop(JS)布局收集。发现该算法在最小化制造时间和机器空闲时间以及减少所需的新机器设置数量方面非常有用。为了检验其有效性,还使用一些标准的调度规则对收集的数据进行了分析,并在比较结果时发现,该改进算法产生了更好的结果。此外,通过遵循获得的顺序,可以看出,部门间的协调得以建立,并且在组件需求时就组件的可用性获得了内部客户满意度。

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