{"title":"用分数来衡量供应链敏捷性的表现。","authors":"Taufik Immawan","doi":"10.33536/jiem.v8i2.1465","DOIUrl":null,"url":null,"abstract":"This study aims to measure the supply chain performance aspects of Agility and provide suggestions for improving performance of Agility. In this research, the methodology used is the design and assessment of supply chain performance based on the SCOR 12.0 model to identify supply chain performance indicators with subjective (personal) and objective (data) field approaches and process adjustments was adjusted. The use of AHP results is weighted for each process, process category and performance indicators. The result of the design of supply chain performance appraisal is that there are 9 performance indicators that are grouped into 3 main business processes, namely: source, make and deliver. The scoring system uses the Snorm de Bour normalization process which is analyzed by a Traffic Light System for priority improvement. The result of the performance appraisal and weighting are in the good category with a value of 80,26 for the March 2019 period. There are 4 performance indicators that get yellow so that improvements are needed in the process, namely: Additional Source Volumes Obtained in 30 days, Current Source Volume, Current Make Volume, Current Delivery Volume.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"25 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MEASURING THE PERFORMANCE OF AGILITY IN SUPPLY CHAIN USING SCOR.\",\"authors\":\"Taufik Immawan\",\"doi\":\"10.33536/jiem.v8i2.1465\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to measure the supply chain performance aspects of Agility and provide suggestions for improving performance of Agility. In this research, the methodology used is the design and assessment of supply chain performance based on the SCOR 12.0 model to identify supply chain performance indicators with subjective (personal) and objective (data) field approaches and process adjustments was adjusted. The use of AHP results is weighted for each process, process category and performance indicators. The result of the design of supply chain performance appraisal is that there are 9 performance indicators that are grouped into 3 main business processes, namely: source, make and deliver. The scoring system uses the Snorm de Bour normalization process which is analyzed by a Traffic Light System for priority improvement. The result of the performance appraisal and weighting are in the good category with a value of 80,26 for the March 2019 period. There are 4 performance indicators that get yellow so that improvements are needed in the process, namely: Additional Source Volumes Obtained in 30 days, Current Source Volume, Current Make Volume, Current Delivery Volume.\",\"PeriodicalId\":38526,\"journal\":{\"name\":\"International Journal of Industrial Engineering and Management\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2023-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Industrial Engineering and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33536/jiem.v8i2.1465\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Industrial Engineering and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33536/jiem.v8i2.1465","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
MEASURING THE PERFORMANCE OF AGILITY IN SUPPLY CHAIN USING SCOR.
This study aims to measure the supply chain performance aspects of Agility and provide suggestions for improving performance of Agility. In this research, the methodology used is the design and assessment of supply chain performance based on the SCOR 12.0 model to identify supply chain performance indicators with subjective (personal) and objective (data) field approaches and process adjustments was adjusted. The use of AHP results is weighted for each process, process category and performance indicators. The result of the design of supply chain performance appraisal is that there are 9 performance indicators that are grouped into 3 main business processes, namely: source, make and deliver. The scoring system uses the Snorm de Bour normalization process which is analyzed by a Traffic Light System for priority improvement. The result of the performance appraisal and weighting are in the good category with a value of 80,26 for the March 2019 period. There are 4 performance indicators that get yellow so that improvements are needed in the process, namely: Additional Source Volumes Obtained in 30 days, Current Source Volume, Current Make Volume, Current Delivery Volume.
期刊介绍:
International Journal of Industrial Engineering and Management (IJIEM) is an interdisciplinary international academic journal published quarterly. IJIEM serves researchers in the industrial engineering, manufacturing engineering and management fields. The major aims are: To collect and disseminate information on new and advanced developments in the field of industrial engineering and management; To encourage further progress in engineering and management methodology and applications; To cover the range of engineering and management development and usage in their use of managerial policies and strategies. Thus, IJIEM invites the submission of original, high quality, theoretical and application-oriented research; general surveys and critical reviews; educational or training articles including case studies, in the field of industrial engineering and management. The journal covers all aspects of industrial engineering and management, particularly: -Smart Manufacturing & Industry 4.0, -Production Systems, -Service Engineering, -Automation, Robotics and Mechatronics, -Information and Communication Systems, -ICT for Collaborative Manufacturing, -Quality, Maintenance and Logistics, -Safety and Reliability, -Organization and Human Resources, -Engineering Management, -Entrepreneurship and Innovation, -Project Management, -Marketing and Commerce, -Investment, Finance and Accounting, -Insurance Engineering and Management, -Media Engineering and Management, -Education and Practices in Industrial Engineering and Management.