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Journal : OPERATION EXCELLENCE: Journal of Applied Industrial Engineering

Pengaruh Manajemen Pengetahuan Terhadap Inovasi: Kasus Industri IT di Indonesia Gidionton Saritua Siagian; Zulfa Fitri Ikatrinasari
Operations Excellence: Journal of Applied Industrial Engineering Vol 11, No 1, (2019): OE Maret 2019
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.v10.3.2018.017

Abstract

The purpose of this journal is to examine the effect of the relationship between knowledge management and innovation in companies based on IT in Indonesia. This study uses the SEM (Structured Equation Modeling) method using PLS software based on primary data from the questionnaire. Based on the results of the study, it was found that the influence of knowledge management on innovation was significantly positive. This can be seen from the relationship between dimensions that is quite strong, where knowledge management has a very positive impact on the dimensions of process innovation and dimensions of product innovation. The proposed framework can be used to guide the development of strategies for implementing knowledge management to enhance the competitiveness of companies through innovation.
Analisa Pencarian Jalur Terbaik Pada Transportasi Laut Pengiriman Batubara Dengan Menerapkan Ant Colony Optimization Berbasis Website Astrid Diandra Maulidina; Zulfa Fitri Ikatrinasari
Operations Excellence: Journal of Applied Industrial Engineering Vol 14, No 1, (2022): OE Maret 2022
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2022.v14.i1.047

Abstract

The high level of national coal production is certainly directly proportional to the demand for coal shipments through sea transportation. Minimizing delays in coal shipments is the main focus that must be resolved to meet the satisfaction of customers, especially for coal shipments from North Kalimantan which reached 29% delay time. The purpose of this research is to be able to find out the value of optimization in choosing the best path in shipping coal through sea transportation and create website-based application designs.  This study uses quantitative research methods where calculations using ant colony optimization algorithms (ACO) based on secondary data with website-based MATLAB GUI tools.  That way, this research is expected to provide recommendations for marine transportation, especially the shipping industry based on the goals to be achieved in this study.
Enhancing process optimization through adaptive jig design in lean manufacturing: insights from Universitas Mercu Buana's laboratory Qulub, Irkham Syifaul; Herlambang, Hendi; Amrina, Uly; Ikatrinasari, Zulfa Fitri
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i3.118

Abstract

This study aims to enhance efficiency in the Lean Manufacturing practicum at the Lean Manufacturing Laboratory of Universitas Mercu Buana by applying PDCA (Plan-Do-Check-Act) and TRIZ (Theory of Inventive Problem Solving) methods. The primary focus was the design and implementation of a flexible jig tool to reduce processing time and increase precision in the vacuum, trimming, and assembly stages designing and implementing. Results showed that the flexible jig reduced process time by 37.8%, from 1431 seconds to 890 seconds, and improved the level of automation from fully manual to the use of flexible tools. Further evaluation revealed significant gains in productivity. The study utilized tools such as Value Stream Mapping (VSM), Operation Process Chart (OPC), and the seven waste concepts within the PDCA framework to identify key issues in the manufacturing process. The application of TRIZ principles in tool design also significantly enhanced production efficiency. This research presents compelling evidence that systematic approach like PDCA and creative methodologies for instance TRIZ can substantially improve operational performance in light manufacturing practicums. Additionally, it highlights the important role of higher education in fostering technological innovation and industry collaboration to tackle evolving manufacturing challenges.