Open AccessAnalytical Hierarchy Process as Decision Support System in SCOR Model
Author(s) -
Indra Ranggadara,
Sfenriant*
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b6488.039520
Subject(s) - analytic hierarchy process , supply chain , flexibility (engineering) , product (mathematics) , process management , business process , benchmark (surveying) , reliability (semiconductor) , business , computer science , performance indicator , supply chain management , asset management , process (computing) , measure (data warehouse) , operations management , operations research , marketing , engineering , work in process , data mining , power (physics) , statistics , physics , geometry , mathematics , geodesy , finance , quantum mechanics , operating system , geography
PT. Meraki Digital Indonesia, or commonly called Meraki Group, is one of the multi-business companies that one of the businesses is a fashion trade. Management wants to know the performance of sales of rovue products needed by product managers to improve performance on sales of these rovue products. So we need an appropriate framework to measure the performance of this product. The variables used in this research refer to the SCOR model, namely Supply Chain external performance (customer-facing) and Supply Chain internal performance (Internal facing) and a combination with the AHP method is performed to determine which aspects require improvement by assessing the attributes of reliability, responsiveness, flexibility, cost, and asset management. From the results obtained by the performance of Meraki Group using the SCOR model is 62% or 62.61 points, and the benchmark analysis obtained four indicators that still have a gap, namely OFCT 5 days, USCF +71, and CTCCT 20 days.