Open AccessJob Shop Layout Improvement with Simulation Technique: A Case of Metal Sheet Production
Author(s) -
Wimalin Laosiritaworn,
Nuchjira Pinchai,
Panitan Jarupuncharadsri
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/842/1/012023
Subject(s) - sheet metal , computer science , production (economics) , process (computing) , rank (graph theory) , engineering drawing , industrial engineering , job shop , manufacturing engineering , cluster analysis , software , engineering , flow shop scheduling , mechanical engineering , artificial intelligence , mathematics , dynamic priority scheduling , schedule , combinatorics , economics , macroeconomics , programming language , operating system
This paper investigates the improvement of job shop layout with simulation technique. A case study of Siam GN metal sheet, the manufacturer of customized metal sheet products was used. The objective is to increase production efficiency and reduce materials handling distance and time. Data regarding product and machine type were collected. CORELAP (Computerized Relationship Layout Planning) and Group technology based on ROC (rank order clustering) algorithm were applied to design the improved layouts. ARENA software was used to simulate the new layout from both techniques. The simulation show that CORELAP layout reduce production time by 17.12% while group technology layout reduces materials handling time by 11.41%. CORELAP layout therefore, was chosen for implementation. Simulation techniques allows user to experiment with different scenario hence selecting the most appropriate one without interfering with the actual process.