Case Studies | Mathematics | Indonesia | Volume 6 Issue 3, March 2017
Inventory Planning Under Uncertainty Demand
Rahmi Wahidah Siregar | Sri Devi Merkasih.P | Nasmiati Hasibuan
Abstract: The sales forecast is a prerequisite for the inventory decisions in the practical life. The right selection of the forecasting model to improve the inventory management can increase the customer service level and determine a better performance for the supply chain. The forecast performance should not only be evaluated by its standard error, but also its impact in the organization performance measures. The sales forecast should not be considered an individual function, but as an important part of supply chain management. By using simulation, managers are able to create a model of their supply chain systems and test various levels of input that can emulate real-life inconsistencies. We assume that we can model the supply chain as a network that each stage in the supply chain operates with a periodic review base-stock policy, that demand is bounded and that there is guaranteed service time between every stage and its customers. This study uses the analytic solver program in excel that does the randomization process on the variable demand.
Keywords: Uncertainty Demand, Forecasting Model, Inventory Planning
Edition: Volume 6 Issue 3, March 2017,
Pages: 1498 - 1501
How to Cite this Article?
Rahmi Wahidah Siregar, Sri Devi Merkasih.P, Nasmiati Hasibuan, "Inventory Planning Under Uncertainty Demand", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=12031706, Volume 6 Issue 3, March 2017, 1498 - 1501, #ijsrnet
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