Supply Chain Risk Evaluation Information System Design using Fuzzy House of Risk in Wooden Toy Industry

Abstract

In the continuity of business processes, companies cannot avoid the possibility of disruptions in their supply chains. This disorder is referred to as risk. The problem often faced by companies today is a poor internal control system in the production process in the supply chain channel. Therefore it is necessary to propose solutions in the form of new procedures that meet all the criteria of good internal control in the company. To minimize risk events, analysis and design of supply chain risk information systems has been made using a DFD based approach. In this study, the observation of risk in the supply chain path of one of the wooden toy industries, namely CV. Atham Toys. Aims to minimize the risks that occur by creating a DFD-based information system to identify priority risks that occur in the company. Based on observations, there are 25 risk agents that can cause 6 risk events. Then the priority risk chosen using the Fuzzy House of Risk method is price or cost risk with an ARPj value of 499.