Analisis Kinerja, Seleksi dan Pengembangan Vendor Trucking di Perusahaan Logistik

Merlin Dyah Wati, Yugowati Praharsi, Devina Puspita Sari
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Abstract

Freight forwarding is a logistics company which provide land delivery services rely heavily on trucking vendors. The available trucking vendors may not fulfill the company's expectations. Therefore the research was conducted to analyze the performance, selection process, management and development of 26 trucking vendors. The research began with the formation of a Critical Success Factor (CSF) and its development, namely a Key Performance Indicator (KPI) in accordance with company objectives. Then the CSF and KPI was weighted through the Analytic Hierarchy Process (AHP) method, determined the optimal performance value of each KPI, measured the performance of each vendor through the scoring method, analyzed the performance of the trucking vendor that was not optimal through Root Cause Analysis (RCA) by looking for the cause based on fishbone diagrams and FMEA tables, as well as providing suggestions regarding the management and development of trucking vendors. The results of the study were 11 CSFs and 28 KPIs that were formed. Based on the selection process conducted on 26 trucking vendors, there are 3 excellent vendors, 4 very good vendors, 11 good vendors, 3 matching vendors, and 5 unsatisfactory vendors. Furthermore, researcher conducted root cause analysis (RCA) of vendor representatives “matching” and “unsatisfactory” categories with fishbone diagrams and FMEA tables. Where the 5 highest RPN values from the FMEA table were given suggestions for improvement. Meanwhile, the excellent, very good, and good vendor categories are developed through strategic plans for the future.
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对物流公司的绩效、选择和销售发展进行分析
货运代理是一家物流公司,它提供陆地运输服务,严重依赖于卡车运输供应商。可用的卡车供应商可能无法满足公司的期望。因此,本研究对26家卡车运输供应商的绩效、选择过程、管理和发展进行了分析。研究开始于关键成功因素(CSF)的形成及其发展,即与公司目标相一致的关键绩效指标(KPI)。然后通过层次分析法(AHP)对CSF和KPI进行加权,确定各KPI的最优绩效值,通过计分法对各供应商的绩效进行衡量,通过基于鱼骨图和FMEA表寻找原因的根本原因分析法(RCA)对业绩不优的货运供应商进行分析,并对货运供应商的管理和发展提出建议。研究结果形成了11个csf和28个kpi。根据对26家货运供应商的评选过程,优秀供应商3家,非常好供应商4家,良好供应商11家,一般供应商3家,不理想供应商5家。此外,研究者利用鱼骨图和FMEA表对供应商代表的“匹配”和“不满意”类别进行了根本原因分析(RCA)。其中FMEA表中5个最高RPN值给出了改进建议。同时,通过对未来的战略规划,开发出优秀、非常优秀和优秀的供应商类别。
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