An Analysis of Operational Planning of SMEs Using Metrics in the SCOR Model (Study of Culinary SMEs in Bandung)

Abstract

In the wake of industrial era 4.0, every business sector is demanded to adapt to the technological advances. Small and Medium Enterprises (SMEs) –one of the largest sub-sectors in the economy of Indonesia– are of no exception. The implementation of the Internet of Things (IoT) technology in Supply Chain Management (SCM) is expected to assist SMEs in managing their businesses more effectively and efficiently. Theaforementioned technological system is required to perform four different stages, starting with the monitoring stage. This stage, in turn, requires the availability of data in order to operate smoothly. However, the finding in the field indicates that the data required for smooth operation are not available. Therefore, this research aims to collect and analyze the datarelated to the operational performance conditions of SMEs. This study applied descriptive qualitative methods in sampling data on SMEs and selected AntapaniKidul Sub-district as the area of the study. Data collection was carried out by in-depth interviews with several key informants of SMEs. Interviews were conducted using metrics from the Supply Chain Operation References (SCOR) developed by the Supply Chain Council through several processes and dimensions, such as plan, source, make, deliver, and return. Analysis of the data that has been obtained will be carried out with the Tableau tools.The results obtained from this study reveal that SMEs are able to examine products condition with the current available data. However, they are not optimal to monitor the entire operational process. It is evident from the score of the whole process that remains in the marginal, average, and good categories.