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Quality Risk Management in Infusation Product Distribution Using Failure Mode and Effect Analysis (FMEA) and Analytical Hierarchy Process (AHP) Methods Elis Dwiana Ratnamurni; Eka Ludiya; Amanda Luthfiartie
International Journal of Science, Technology & Management Vol. 3 No. 1 (2022): January 2022
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v3i1.429

Abstract

This study aims to determine the causes of product leaks so as to minimize the risks of product quality degradation. The research method used is descriptive qualitative research method, data collection techniques used are observation, interviews and documentation. The collected data is then analyzed to obtain useful information to solve a problem in research. The process of testing the validity and reliability in this study uses a triangulation process. In this study, to measure Quality Risk Management, FMEA is used as a tool to measure or identify the source or cause of a quality problem. The next method to solve problems or risks in Quality Risk Management is AHP. The results of the study can be concluded that, Quality Risk Management in the distribution of Infusion products. The risk with the highest RPN value is the risk of damaged goods in the distribution flow of releasing goods from the warehouse to the expedition of PT. BSP which causes a leak in the softbag packaging. These risks are then analyzed to find the best alternative for handling them. Determine alternative handling of Quality Risk Management in the distribution of Infusion products at PT. BSP using the AHP method. Based on calculations using Expert Choice 11 software, the priority criteria are time and handling effectiveness which has the highest pairwise comparison value is the alternative of adding product handling information labels on cardboard packaging.
Vendor Selection for Subcontracted Greige Fabric A Case Study of PT X Sherli Dwi Setiawati; Eka Ludiya
Al-Kharaj: Journal of Islamic Economic and Business Vol. 8 No. 1 (2026): All articles in this issue include authors from 3 countries of origin (Indonesi
Publisher : LP2M IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/kharaj.v8i1.9550

Abstract

The limitations of internal production capacity, especially in textile companies, resulted in the company having to implement a greige fabric subcontracting strategy to meet the company's needs. The purpose of this study was to analyze planning, implementation, and evaluation, as well as to analyze improvement efforts in selecting subcontracting vendors using the Analytical Hierarchy Process (AHP) method and assisted by Expert Choice software. The research method used was qualitative with data collection techniques through interviews, observations, and documentation. This study used a purposive sampling technique, and the criteria used in vendor selection were price, quality, delivery accuracy, and quantity accuracy. The results showed that the first priority performance vendor was Cemara vendor with a weight of 41.4% (MS.Excel Processing) 41.4% (Expert Choice Processing), priority 2 was Ajutex vendor with a weight of 32.5% (MS.Excel Processing) 33.1% (Expert Choice Processing), and priority 3 was Daese vendor 26.1% (MS.Excel Processing) 25.5% (Expert Choice Processing). So it can be concluded that the best vendor recommendation for PT. X is Cemara, because Cemara has the highest priority value.