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Assessing of supply chain performance by adopting Supply Chain Operation Reference (SCOR) model
Author(s) -
Endang Prasetyaningsih,
Chaznin R Muhamad,
S Amolina
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/830/3/032083
Subject(s) - supply chain , kaizen , performance indicator , computer science , key (lock) , process (computing) , process management , supply chain management , lean manufacturing , manufacturing engineering , operations management , business , engineering , computer security , marketing , operating system
This paper aims at an assessing of a supply chain performance by adopting the Supply Chain Operation Reference (SCOR) Model. The supply chain activities are divided into five core processes, i.e. plan, source, make, delivery and return. Each level of the SCOR model is weighted using Fuzzy Analytical Hierarchy Process (FAHP). The mapping of SCOR Model consists of 5 core processes at 1st level, 21 performance matrices at 2nd level, and 28 Key Performance Indicator (KPI) at 3th level. The result shows that the supply chain performance is 68,231. Referring to the performance indicators, the performance achieved by the supply chain at this time is in the average category. Proposed improvement strategies are designed based on lean supply chain principles, through the implementation of Gemba Kaizen which consists of 17 proposed strategies.

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