Increased competition has led businesses to compete with each other in streamlining supply chain processes, especially in the manufacturing sector. Supply Chain Management (SCM) determines the success of industrial business processes because it regulates product flow regarding integration, performance, and information. However, several problems have emerged in the supply chain process, such as a lack of coordination in the production queue, difficulties in forecasting trending products, and suboptimal production capacity. To address these issues, the role of information technology is crucial for implementing a Decision Support System (DSS). This study aims to develop a DSS to improve the supply chain processes. The research method used is Extreme Programming (XP) with a qualitative approach through a questionnaire. The research process involves collecting data, defining boundaries and problems, and designing, coding, and testing the system. As a final step, evaluation is carried out by distributing surveys to obtain valid satisfaction results. This research produces a DSS that has applicability in marketing, accounting, and production processes. The application of DSS in the furniture manufacturing industry can help manage the movement of resources, optimize strategic networks, and assist decision-making in the supply chain process.

The implementation of milk-run in Indonesia has been started since 2005. As a developing

country, there is a challenge to operate milk-run smoothly especially in urban area due to

severe traffic congestion and unfavourable road condition in some areas. This research aimed

to analyze the practice of milk-run operation in one of the biggest Japanese automotive

companies in Indonesia. Transportation Value Stream Mapping (TVSM) is applied in order

to perform just-in-time delivery in the supply chain before operating milk-run. It is discussed

that this company still need to continue in improving milk-run operation. The operation

system needs control and integration from manufacturer, supplier and logistics partner.

The advantage of milk-run operation is cost reduction and also support green logistics in

decreasing emission of carbondioxide (CO2) by reducing the number of trucks used.