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Journal : Journal of Industrial Engineering

Sebuah Tinjauan Literatur Sistematis atas Implementasi Key Performance Indicators Indra Setiawan; Purba, Humiras Hardi
Journal of Industrial Engineering & Management Research Vol. 1 No. 3 (2020): Oktober 2020
Publisher : AGUSPATI Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.518 KB) | DOI: 10.7777/jiemar.v1i3.79

Abstract

Management performance measurement based on Key Performance Indicators (KPIs) has been widely applied in any organization. This paper aims to identify Key Performance Indicators (KPIs) and classify them based on performance measurements to improve optimal management organizational performance. This research is based on a literature review of 50 journals based on performance management with the weight of Key Performance Indicators (KPIs) for the years 2011-2020. Performance measurement using this Key Performance Indicator can be implemented in many institutional organizations such as industry company sector, services, academics, hospitals, and government. KPIs can change behavior in an organization and provide results in broad contexts such as improving business results or driving improved operational performance. KPIs also help in implementing performance measurement on an ongoing basis. So that KPIs become a better way of managing the organization.
Process Capability Improvement Through DMAIC Method for Aluminium Alloy Wheels Casting Maryani, Edna; Purba, Humiras Hardi; Sunadi, Sunadi
Journal of Industrial Engineering & Management Research Vol. 1 No. 4 (2020): December 2020
Publisher : AGUSPATI Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (635.693 KB) | DOI: 10.7777/jiemar.v1i4.98

Abstract

High competition in the global wheel market demands is triggering the companies who are produced to improve their process to be able to offer the best wheels quality. Process monitoring charts are employed for improving the process capability index of the process, some industries set a Cp value greater than 1.33 in assessing their process capability. The aims of this research is to reduce the number of defects in the casting process using the Define Measure Analyze Improve Control (DMAIC) method. It shows the systematic way to find out the major problem root cause at the aluminum castings by using the defect diagnostic approaches and also cause and effect diagram. Other quality tools are used such as the Fishbone diagram and Pareto diagram. These tools identified the major defects for the rejections during production were identified are leaking, porosity hole motive, and oval. In determining the proposed quality improvements using the FMEA tool. The results of data processing on the calculation of process capabilities and product performance show improvements after quality improvements in the casting process.product performance was increased from Cp = 0.81 to Cp = 1.4, sigma level = 2.9 to sigma level = 4.0. The impact for the company is the defect rate was going down and finally it created the production costs saving by IDR 417,550,000 a month. Therefore, the application of the DMAIC method can provide a significant improvement in product quality and giving an impact on production cost savings