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Supply chain management evaluation in the oil and industry natural gas using SCOR model
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This study aims to evaluate supply chain management on fuel oil to optimize improvement
strategies that can be applied to ConocoPhillips companies in Indonesia. Effective and efficient
supply chain management is one of the goals to achieve the company's business stability in the
fuel oil supply chain. Fuel oil is a very complex basic need for companies in carrying out industrial
and transportation activities. The research method is measuring and evaluating company
performance through a combination of the Supply Chain Operation Reference (SCOR) model and
the Analytic Hierarchy Process. Research respondents through interviews with four informants
from the company ConocoPhilips. Based on the SCOR Version 11.0 model, in this study the SCOR
measurement is divided into four perspectives, namely Plan, Source, Deliver and Return.
Furthermore, through the measurement of Key Performance Indicators, it is classified using five
supply chain dimensions, namely reliability, responsiveness, agility, costs, and assets. The research
resulted in the final value of supply chain performance of 74,992 which can be categorized as a
moderate or intermediate level, this implies that the existence of an assessment system or
measurement of supply chain performance on an ongoing basis can be used as a consideration in
determining the optimal strategy. Research findings, improvements, and strategies are needed,
especially in the perspective of delivering which has the lowest score.
Prasadja Ricardianto - Personal Name
Septi Mardiyani - Personal Name
Fausta Ari Barata - Personal Name
Euis Saribanon - Personal Name
Heri Subagyo - Personal Name
ENDRI ENDRI - Personal Name
Edhie Budi Setiawan - Personal Name
Septi Mardiyani - Personal Name
Fausta Ari Barata - Personal Name
Euis Saribanon - Personal Name
Heri Subagyo - Personal Name
ENDRI ENDRI - Personal Name
Edhie Budi Setiawan - Personal Name
NONE
electronic file
English
Growing Science
2022
Canada
Uncertain Supply Chain Management 10 (2022) 797–806
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