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JOB SHOP SCHEDULING USING NON DELAY AND HEIJUNKA INTEGRATION AT PT X (CASE STUDIES OF MANUFACTURING COMPANIES)
Kulsum 1, Yusraini Muharni 2, Anes Saka Pratiwi 3

untirta


Abstract

In the company, production scheduling is an important step to find out when to start a job and when to stop to end a job. Good scheduling will have a positive impact, namely low operating costs and delivery times which can ultimately increase customer satisfaction. In this study, the focus of the problem was 3 job 5 machines on the production of nuts at PT X. PT X is a manufacturing company specializing in General Contractor - Machining & Recondition Services that uses the FCFS (First Come First Served) system in its scheduling operations. The type of production flow in this company is the job shop because each product goes through a different process in each operation. The problem that often occurs in this company is the accumulation of orders at one time with a large quantity of products and human resources that are still relatively low can be one of the causes of delays in completing orders for customers. The method used in this study is the Non Delay Method and the Heijunka Method. Where, the Non Delay method is a method that does not let the machine idle if an operation can be started. While the Heijunka method is more concerned with equity in its production. In this study, scheduling using the Non Delay Method is better than using the Heijunka Method or using the existing scheduling method used by the company, because it can produce a faster makespan value. With this Non Delay method, to produce 3 Job 5 machines produce makespan of 3772.01 minutes or 62.87 hours smaller than using the Heijunka Method which results in makespan 3820 minutes or 63.67 hours. While the results of existing scheduling makespan only produce 3880.35 minutes or 64.67 hours.

Keywords: Job Shop Scheduling, Non Delay Method, Heijunka Method, Makespan

Topic: Industrial Engineering

Link: https://ifory.id/abstract/6XeKLjgVh4U2

Conference: Broad Exposure on Science and Technology (BEST 2019)

Plain Format | Corresponding Author (kulsum none)

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