Designing Key Performance Indicators of Supply Chain Performance Digitalization (Case Study: PT X)

Felia, Yuniva (2022) Designing Key Performance Indicators of Supply Chain Performance Digitalization (Case Study: PT X). Diploma thesis, Universitas Andalas.

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Abstract

Rapid technological developments helped bring an increased level of business competition by improving the performance of supply chain management system. PT X was a company that incorporated with Danone Group and it focused on implementing digitalization of supply chain planning to improve performance. PT X is required to identify the indicator for measuring supply chain performance digitalization. This study aims to identify the priority weights of KPI and contribute with an evaluation framework analysis of each KPI based on priority weight for future supply chain performance using Supply Chain Operation Reference (SCOR) model approach. Data collecting is obtained by interviews and questionnaires given to the experts. Based on data processing using Analytical Hierarchy Process (AHP) for calculating the weight for each level in SCOR model approach, there are 24 Key Performance Indicators (KPIs) consist of plan process has 7 KPIs, source process has 4 KPIs, make process has 4 KPIs, deliver process has 5 KPIs. return process has 4 KPIs. Overall, KPIs with the highest priority is on plan and source process such as forecasting accuracy automation (0.192), planning process reinforcement (0.131), supplier reliability (0.079), strategy supply (0.065), and planning data integration (0.047), efficiency production schedule (0.038), machine performance (0.035), delivery lead time and relevant information (0.034). These KPI’s are calculated based on the priority weight and it can be measured for supply chain performance digitalization.

Item Type: Thesis (Diploma)
Primary Supervisor: ASMULIARDI MULUK, M.T.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Fakultas Teknik > Industri
Depositing User: S1 Teknik Industri
Date Deposited: 18 Aug 2022 07:34
Last Modified: 18 Aug 2022 07:34
URI: http://scholar.unand.ac.id/id/eprint/109338

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