Conceptual Framework for Efficient Inbound Supply Chain Analytics

Industry 4.0 is a terminology that denotes the era of industrial digitization with the emergence of new technologies in which data is the main focus of increasing company competitiveness in all aspects, including supply chain management systems. It has become one of the main focuses of companies to build resilience when dealing with the risk of uncertainties while still meeting the critical goal of improving the efficiency and responsiveness of customer needs. Therefore, supply chain analytics become essential for facilitating data-driven decision-making in planning, sourcing, making, and delivering functions. However, implementing supply chain analytics in developing countries limits only the traditional application silos and ignores disruptive emerging technologies such as cloud computing. This paper explores cases from the manufacturing and retail domains in Indonesia and discusses in detail the conceptual framework for efficient inbound supply chain analytics, which embodies the three characteristics of adequate supply chain visibility such as automation (implementation of automation technology), information (good data management), transformational (analytic application to display information) to meet the organization’s need for consolidated reports in all branches/subsidiaries. The aspect of inbound supply chain analytics is specified in the plan and source functions, consisting of eight supplier and inventory key performance indicators through the analytical descriptive data visualization aspect in the Analytics Dashboard