Suchergebnisse

Inventory management is a general problem in manufactures, service companies, government institutions included feedmill distributor. Inventory policy in those institutions are determined by several objectives which the main are minimizing the total cost or investment inventory, the consumer satisfaction and maximizing the output efficiency. Structural problems related with feedmill inventory consists of total cost inventory, order quantity and reorder point. Economic Order Quantity (EOQ) model is one of tools in order to solve problems above, in detail this tool is used to optimize feedmill inventory in the distributor level, especially in the feedmill manufacturing product, the milled corn and the rice sifting components. The result of the research shows that by using the EOQ model, there is a total cost inventory reduction, such as the feedmill manufacturing product decrease from 8,046,778 rupiahs to 1,890,865 rupiahs, the milled corn component from 1,785,721 rupiahs to 103,310 rupiahs and total cost inventory for the rice siftings component decrease from 598,812 rupiahs to 96,686 rupiahs. Based on the final result above, it is summarized that the EOQ model instrument minimized the total cost inventory in feedmill product on the distributor level.

Introduction : Indonesia is one of the countries with high Maternal Mortality Rate that result partially from in management inefficiency, causing in obstruction of flow, underutilized resources, and imbalance between the number of patients with the availability of care facilities and the alternative care strategies. One of the strategies that can be applied to reduce lead time is Lean Six Sigma (LSS). Therefore, the purpose of this study was to evaluate the impact of Lean Six Sigma (LSS) methodology on patient lead time in Maternal Emergency of district government hospital.Methods: Researcher and the participants were involved in planning, gathering data, analyzing, and choosing the best solutions. The participants were trained on LSS methods, its implementation tools and procedures. Evaluations were conducted using lead time observation before and after implementation, and midwives were interviewed about their perceptions. The analysis was based on Value Stream Mapping tools. Results: Patients' lead time from being admitted in emergency unit definitive diagnosis was decreased by 26.04 minutes or 16.4% in Caesarean Section (CS) and 15.25 minutes or 21.7% in other maternal high risk. For emergency CS, the improvement was 33.06 minutes or 26% from decision until incision. The benefit of LSS implementation was primarily in accelerating service processes and improving communication and team work. Conclusion: This study showed that the implementation of LSS had great potential benefit in a maternal emergency unit. Participation of the midwives is crucial for successful implementation of LSS to reduce patients lead time.