Analytical Hierarchy Process as Decision Support System in SCOR Model
Indra Ranggadara1, Sfenrianto2
1Indra Ranggadara, Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia.
2Sfenriant*, Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 23, 2020. | Manuscript published on March 10, 2020. | PP: 18965-1898 | Volume-9 Issue-5, March 2020. | Retrieval Number: B6488129219/2020©BEIESP | DOI: 10.35940/ijitee.B6488.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Analytical Hierarchy Process, Performance, SCOR Model, Supply Chain.
Scope of the Article: High Performance Computing