Salah satu produsen ban terbesar di Indonesia dalam proses produksinya memiliki beberapa family produk seperti Passenger Tires, Commercial Tires, dan Industrial Tires. Passenger Tires atau PSR merupakan family produk dengan penjualan terbesar, akan tetapi dalam perkembangannya terdeteksi adanya penurunan performa produksi yang mempengaruhi optimalisasi penjualan perusahaan. Berdasarkan studi pendahuluan teridentifikasi adanya beberapa aktivitas pemborosan di lini produksi ban PSR. Mapping aktivitas bertujuan untuk menemukan jenis waste yang tepat pada setiap departemen produksi maupun workstation. Mapping dilakukan dengan menggunakan diagram Swimlane dan Process Activity Mapping (PAM). Hasil mapping mengidentifikasi aktivitas yang tidak memberikan nilai tambah dengan persentase aktivitas sebesar 48%. Waste assessment model (WAM) dipakai untuk menentukan peringkat seven waste. Dari hasil analisis dengan menggunakan metode WAM diperoleh tiga waste kritis utama yaitu waiting, motion, dan overproduction dengan proporsi masing-masing waste sebesar 22%, 18%, dan 16%. Setelah diketahui waste kritis maka dilakukan analisis akar masalah penyebab waste dengan menggunakan fishbone chart diagram dan root cause analysis.

The business sustainability of micro and small manufacturing enterprises (M-MSEs) are substantial to drive productivity and employment rate in many developing countries. However, due to various limitations, these enterprises are struggling to develop themselves into larger enterprises. For this reason, the government of Indonesia is enthused to provide technical and managerial supports for these M-MSEs. This study aims to provide an objective taxonomy of Indonesian M-MSEs as a guidance for the authorities to deliver the appropriate supports. The taxonomy was developed based on the survey to 735 M-MSEs in the Yogyakarta area. By using cluster analysis, we found that the M-MSEs can be classified into four distinct groups. Each group has its development strategies, ranging from adopting lean philosophy to instituting relationship marketing. This taxonomy provides useful directions for the authorities to support the development of M-MSEs in Yogyakarta and also serves as part of a broader effort to construct M-MSEs taxonomy in Indonesia.

The problem that often occurs in raw material inventory is overstock or stockout conditions. The healthcare industry, including pharmaceuticals, has been experiencing uncertainty since the Covid-19 pandemic. Then impacts panic buying and stockpiling, which can lead to unpredictable spikes in demand, stockouts, and disruptions to the inventory system. The research was conducted at ABC Pharmacy in Yogyakarta, which experienced this problem. In this study, optimization of drug supply was carried out by measuring ware­house capacity, and safety stock, increasing the number of orders and reorder points using the Min-Max and the economic order quantity models. A simulation of inventory optimi­zation planning was carried out using Monte Carlo to see inventory projections for the next three months. Overall, the EOQ model simulation shows the most optimal results by showing the average total inventory cost of Rp. 103,579, where this number represents the lowest number of total inventory costs when compared to other simulation models. It also shows that the EOQ model is 86% more efficient in inventory cost than the Min-Max model. Comparison of the total cost of inventory The results of the three methods are calcu­lated according to current demand and simulation of the EOQ method, which produces the minimum total inventory cost, followed by the company's initial model and the Min Max inventory method.

The problem that is often experienced in the delivery of goods from distributor to the destination is the delivery route that is not sufficient with the vehicle's capacity. This matter is crucial because it can affect the clients' trust on the shippers in the distributor. This problem can be analyzed using Capacitated Vehicle Routing Problem (CVRP) with Clarke and Wright Algorithm. This research begins with determining the distance between all coordinates with Euclidean Distance, making the distance matrix between places to go. After that, the calculation CVRP using Clarke and Wright Algorithm is exected in this study, a calculate CVRP using Clarke and Wright algorithm can help of Python. The study was conducted at 16 customers coordinates, the results obtained by 4 routes with total load 4751 kg and distance 436 km. Route of delivery the first route 924 kg load and distance 80 km, second route 962 kg load and distance 112 km, third route 1450 kg load and distance 144 km, and the fourth route 1415 kg load and distance 100 km.

The increase in the number of certified halal products shows the Indonesian people's increasing level of awareness of the halalness of a product. In addition, people are also increasingly curious about all the activities involved along the supply chain to ensure whether the products they buy are genuinely halal. One of the consumer products that need to be traced to the halal supply chain is beef products because there is a risk of contamination throughout the supply chain from raw materials, production processes, distribution, storage and handling. Calculation of risk in this study will use the House of Risk (HOR) method. This research focuses on the process of inbound and outbound logistics and the beef slaughtering process at the Purwokerto Slaughterhouse. The results of this study obtained 26 risk events and 28 risk agents. Based on risk mapping using phase 1 and Pareto HOR diagrams, 11 risks are prioritized based on the highest ARP values, namely A15, A25, A19, A7, A5, A28, A6, A2, A16, A17, and A21. Moreover, it made 14 recommendations for mitigation actions that the company can apply to control these risks.