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Storage location assignment is related to the problem in warehousing management. The purpose of this paper is to gain storage allocations of goods in a warehouse based on the fast moving, slow moving and non moving (FSN) analysis as the determination of the allocation of storage based on items popularity that is stored in a warehouse. The method used for the research are fast moving, slow moving, non moving (FSN) and dedicated storage. The analysis can be used to determine the location for goods storage will allocated closer to loading area. Goods with fast moving categories allocated close to to loading area, slow moving items allocated next to fast moving items and nonmoving items allocated next to slow moving items which the farthest location from loading area. The concept of dedicated storage also applied to give a specific location for goods storage. The fast moving category items is 11,4% and requiring 86.31 m2 area. The slow moving category is 47,8% and requiring 34.86 m2 area. The non moving category is 40,8% and requiring 50.04 m2 area so that the total area needed is 171.21 m2.

The plastic jute sack is one of the most popular rice packaging products in the market. One type of plastic jute sack used is LDPE type. The LDPE sacks used for rice packaging often-experiencing fluctuations in market demand. Fluctuating demand is a certain problem for companies in determining the number of production to meet the demand. It can be seen from the frequent over production companies and stock out at each period. Overproduction problem has an impact to increase production costs. Stock resulted in lost sales experienced adversely affected the company, especially from production cost. Based on the problems, the company must immediately performs an optimal production planning to handle various problems in the company. One method for saving the optimal cost production can be used is dynamic programming. This method aims to obtain the optimal number of production accordance to market demand. This research is done to reduce cost by optimizing number of production. Method that used to solve the problem is dynamic programming. By using this method, the company will obtain optimum production number with minimum production cost and considering total capacity available of the company. From the dynamic programming results obtained optimal production number with cost savings about 2.1%.

The quality of crumb rubber has several grades according to Indonesian Rubber Standard (SIR). In crumb rubber process production, lots of products need to rework because it does not match with specified specifications. The types of rework product based on SIR that cause of defects such as hard, soft and dirt. However, the reworked products will produce crumb rubber with lower grade quality. This certainly affects the selling price of the crumb rubber. Also rework will incur additional production costs. Efforts that can be used to minimize the number of rework is to identify the factors that cause failure and determine the priority level of the risk of failure in the production process crumb rubber. It can be used is by using Fuzzy FMEA method. This method aims to get the risk of failure and the level of risk of failure during the crumb rubber production process. Fuzzy FMEA method also obtained the highest RPN value is equal to 489 for the risk of failure of engine dryer temperature is too high. Through the highest priority level of failure (RPN), company can determine the steps to make improvements during the production process to improve the quality of crumb rubber products.

Supply chain activity has an opportunity for the occurrence of risk. Therefore, risk management is needed in the handling of risk with the aim to minimize the risk level and impact of those risks. PT. XYZ of PT Pupuk Indonesia (Persero) engaged in the fertilizer industry. The main product produced is urea fertilizer. In the production process, the factory is supported by adequate production facilities and international standard technology. Currently, PT XYZ does not yet have risk management which explicitly discusses the proposed risk management along with the handling strategies required by the company. By looking at the current condition of the company, in order to achieve the goals to be achieved the company needs a good supply chain planning such as by identifying the risks that exist in the supply chain and preventive measures. Performed risk analysis and evaluation of potential supply chain companies using HOR (House Of Risk) tools. After the research there were 42 risk events and 42 risk agents. With the 80/20 pareto approach, 9 risk agents are planned for mitigation action. There are 11 recommended risk mitigation actions recommended to the company in the hope of addressing the risk of urea fertilizer supply chain.