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Arthur Silitonga
President University
Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Application of Genetic Algorithm on Spare Part Automotive Body Scheduling Rendy -; Anastasia Lidya Maukar; Arthur Silitonga
International Journal of Industrial Research and Applied Engineering Vol 1, No 1 (2016)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.469 KB) | DOI: 10.9744/JIRAE.1.1.25-32

Abstract

Job shop scheduling is one of the complex problems in the manufacturing industry, such as an automotive body manufacturer. This manufacturing company, located in Cikarang, Indonesia, deals with huge customer demand that leads to difficulties in production scheduling. This will cause a delay in some jobs and product deliveries. The current system is using the semi-active scheduling approach and requires 637 minutes for performing 6 jobs with 5 machines. The genetic algorithm (GA) model is proposed as an alternative solution to solve this problem. The GA parameter is set as follow: The population size expected is 30 with maximum generation can be produced in amount of 50. The crossover rate, mutation, and preservation are set to 0.3, 0.1, and 0.1, respectively. After 50 generations are obtained, the optimum solution is shown in generation 6 with a makespan of 597 minutes. Thus, the genetic algorithm model is effectively reducing the makespan of the job-shop scheduling problem by 10% compared to the current method applied at the company.
Development and Performance Improvement of an Automated Washing System for a Specified Modulator in the Scale of Industrial Automation Arthur Silitonga; Dimas Adiputra
Journal of Electrical And Electronics Engineering Vol 1, No 01 (2016): JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (941.849 KB) | DOI: 10.33021/jeee.v1i01.52

Abstract

ABSTRACTAutomation is a solution to improve things in industrial world. The automation itself makes the system able to work automatically and decrease the use of man power. Modulator is a part of conditioner system that was being produced without using automation. The process to produce the modulator consists of a number of steps: loading, cutting, washing, drying, and finishing. In order to wash and to dry the modulator automatically, several industrial components are used as the actuators to execute the process. The industrial components such as water pump, solenoid valve, proximity sensor, and pneumatic cylinder are controlled by a Programmable Logic Controller (PLC). The PLC uses ladder programming language to decide the behavior of the system. A feedback system is applied to the system to get a better performance in terms of process lead time. The performance of the process is better after using the feedback system. The system without feedback has an average lead time of 15.4 s and the system with feedback has an average lead time of 14.7 s.Keywords: automation, modulator, PLC, ladder programming language, feedback, lead time.
Co-Authors Adiputra, Dimas Anastasia Lidya Maukar Rendy -