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OPERATION EXCELLENCE: Journal of Applied Industrial Engineering
Published by Universitas Mercu Buana
ISSN : 2085429     EISSN : 26545799     DOI : 10.22441/oe
Core Subject : Science,
Decision Sciences, Operations Research & Management
The aim of Operations Excellence: Journal of Applied Industrial Engineering (OE Journal) is to publish theoretical and empirical articles that are aimed to contrast and extend existing theories, and build new theories that contribute to advance our understanding of phenomena related with industrial engineering and industrial management in organizations, from the perspectives of Quality Engineering, Productivity Improvement, Logistic & Distribution, Supply Chain Management, Performance Management & Improvement System, Modelling, Operations Management, Optimization, Green Manufacturing.
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Articles 12 Documents
 1   2 
Search results for , issue "Vol. 17 No. 1 March 2025" : 12 Documents clear
Quality improvement through 8D methodology: an automotive industry case study Rusman, Karyadi; Hetharia, Dorina
Operations Excellence: Journal of Applied Industrial Engineering Vol. 17 No. 1 March 2025
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2025.v17.i1.126

Abstract

Nowadays quality is a key factor for the success of a product or company to survive and be accepted by consumers. Repeated quality problem in automotive industry become one of factor that influence company performance. However the problem is visual aspect, if this repetitive will increase customer dissatisfaction. Problem covers pillar loop scratch becomes the repeated and worst problem in Feb–March 2020. This research aims to assist in quality improvement by using the eight discipline (8D) method to solve the problem “cover pillar loop scratch. An 8D method is a problem-solving tool that has complete and systematic corrective action stages in problem-solving, which is for short-term action and long-term corrective action also effective in preventing the re-occurring problem. Result the implementation of the 8D methodology in problem-solving seat belt production problems in the SB3 line of Automotive Industry succeeded in reducing and eliminating the number of problems “cover pillar loop scratch” from 60 pcs in March 2020 to 0 in July 2020.
Analysis of waste in the flow process warehouse using the lean warehousing method at ABC Company Pamungkas, Catur Arta; Aryanny, Enny
Operations Excellence: Journal of Applied Industrial Engineering Vol. 17 No. 1 March 2025
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2025.v17.i1.136

Abstract

ABC Company is a manufacturing company that produces animal feed using raw materials stored in a warehouse. One type of raw material that is widely used for animal feed production needs is the premix type of raw material in warehouse 1. The large number of raw material needs makes warehouse activities increase. The large number of activities causes the warehouse to often experience wasteful activities with a lead time exceeding the company's standard of 420 minutes. This waste can reduce the effectiveness and efficiency of the warehousing flow process. Therefore, the purpose of this study is to determine what waste occurs in the warehouse using the lean warehousing method and to provide suggestions for improvements with Plan, Do, Check, Action and Seiri, Seiton, Seiso, Seiketsu, Shitsuke. Analysis carried out using the lean warehousing method is important for the category of activities that add value, the category of activities that are needed, the category of activities that are not needed, and the time of warehousing flow can be known through value stream mapping both before and after improvement. From the analysis conducted, it was found that there were 52 warehouse flow activities with an activity time of 556 minutes, which after being given a proposal for improvement in the warehouse flow process activities decreased to 39 activities with a lead time of 304 minutes.

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