Amid the growing demand for Industry 4.0 adoption in the business world, the halal supply chain must also integrate these technologies. A roadmap is needed to build a halal supply chain 4.0. The distribution of halal products in this case halal meat from halal-certified slaughterhouses is still very limited, while the demand for halal meat is high. Therefore, if the distribution of halal meat is not planned properly (optimally), there will be a shortage of supply, excess stock, and soaring transportation costs. For that, application development as one of the initiatives towards the halal supply chain 4.0 is very necessary. The method used in this study is to develop a desktop-based application based on Python and VS Code using Linear programming to minimize the total distance and total distribution cost, where the distribution cost is a function of the sum of transportation costs, oversupply costs and shortage costs. The application successfully provides an optimal solution to the Multi-Depot Vehicle Routing Problem (MDVRP), effectively solving the complex logistics scenario. Based on the result of this study, the Halal Meat Distribution System (HMDS) application has demonstrated its capability to determine optimal distribution plans for halal meat. Therefore, the study proposes application which is named as HMDS, which can become the decision support sytem to help the decision maker determines the optimized halal meat distribution strategy. As part of the broader halal supply chain ecosystem 4.0, this study serves as an early step toward the digital transformation of halal logistics

Amid the growing demand for Industry 4.0 adoption in the business world, the halal supply chain must also integrate these technologies. A roadmap is needed to build a halal supply chain 4.0. The distribution of halal products in this case halal meat from halal-certified slaughterhouses is still very limited, while the demand for halal meat is high. Therefore, if the distribution of halal meat is not planned properly (optimally), there will be a shortage of supply, excess stock, and soaring transportation costs. For that, application development as one of the initiatives towards the halal supply chain 4.0 is very necessary. The method used in this study is to develop a desktop-based application based on Python and VS Code using Linear programming to minimize the total distance and total distribution cost, where the distribution cost is a function of the sum of transportation costs, oversupply costs and shortage costs. The application successfully provides an optimal solution to the Multi-Depot Vehicle Routing Problem (MDVRP), effectively solving the complex logistics scenario. Based on the result of this study, the Halal Meat Distribution System (HMDS) application has demonstrated its capability to determine optimal distribution plans for halal meat. Therefore, the study proposes application which is named as HMDS, which can become the decision support sytem to help the decision maker determines the optimized halal meat distribution strategy. As part of the broader halal supply chain ecosystem 4.0, this study serves as an early step toward the digital transformation of halal logistics