Penjadwalan Produksi Job shop Mesin Majemuk Menggunakan Algoritma Non Delay untuk Meminimalkan Makespan

Adhie Tri Wahyudi, B. Wicaksana, Maresta Andriani
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引用次数: 2

Abstract

Scheduling is an important factor in both manufacturing and service industry environments. Scheduling is a resource allocation arrangement for completing tasks that involve work, resources and time. With the scheduling, all work can be completed according to priority and can minimize processing time, so that makespan is minimal. In addition, it can reduce idle machines and reduce the inventory of semi-finished goods. Maryati Small Micro and Medium Enterprises (IKM) is a business that is engaged in the manufacture of clothing that produces various types of products such as baby clothes, teenage clothes to adults. So far, IKM Maryati is in the process of machine scheduling by determining the order of Job execution based on the longest to shortest total Job processing time. Scheduling with this method creates problems for the company, as evidenced by the accumulation of semi-finished goods at several work-stations. Another problem is when orders arrive at a certain period with a large variety and number of products, causing Job completion that exceeds the target time (due-date). The size of the makespan causes the production time to increase, so the company is late to start production of orders in the following month. In this study, the Non-delay algorithm is used to solve the problems that arise in IKM Maryati. The result obtained is the scheduling using the existing method by IKM Maryati which produces 44 days makespan value. Meanwhile, by applying the Non-delay compound engine algorithm, it produces a makespan of 42 days. This shows that the compound machine Non-delay Algorithm method can minimize the makespan value in IKM Maryati. There is an efficiency of 4.55% in both time and cost variables.  
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将合成工作坊的生产安排在使用非延迟算法来最小化Makespan
在制造业和服务业环境中,调度都是一个重要的因素。日程安排是为完成涉及工作、资源和时间的任务而进行的资源分配安排。有了调度,所有的工作都可以按照优先级完成,并且可以最小化处理时间,使makespan最小。此外,它可以减少闲置机器,减少半成品库存。Maryati小型中小企业(IKM)是一家从事服装生产的企业,生产各种类型的产品,如婴儿服装,青少年服装到成人。到目前为止,IKM Maryati正在进行机器调度,根据最长到最短的总作业处理时间确定作业的执行顺序。使用这种方法调度给公司带来了问题,正如在几个工作站上积累的半成品所证明的那样。另一个问题是,当订单在一定时间内到达,产品种类和数量都很大,导致Job完成时间超过了目标时间(截止日期)。makespan的大小导致生产时间增加,所以公司在下个月的订单开始生产较晚。在本研究中,使用非延迟算法来解决IKM Maryati中出现的问题。得到的结果是IKM Maryati使用现有方法进行调度,产生44天的最大跨度值。同时,采用无延迟复合引擎算法,完成时间为42天。这表明复合机无延迟算法方法可以最小化IKM Maryati的makespan值。在时间和成本变量上,效率均为4.55%。
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