Collaborative predictive business intelligence model for spare parts inventory replenishment
نویسندگان
چکیده
منابع مشابه
Collaborative predictive business intelligence model for spare parts inventory replenishment
In today’s volatile and turbulent business environment, supply chains face great challenges when making supply and demand decisions. Making optimal inventory replenishment decision became critical for successful supply chain management. Existing traditional inventory management approaches and technologies showed as inadequate for these tasks. Current business environment requires new methods th...
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Performance of inventory management depends on the accuracy of demand forecasting. There are many techniques used for forecasting demand in retail sale. Advances in data mining application systems have given rise to the use of business intelligence in various domains of retailing. The current research captures the knowledge of classification of the customers using the purchase-based data of cus...
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Maintenance operations directly influence the performances of railway vehicles and play a crucial role in railway services to provide uninterrupted and high quality service to passengers. With the exception of preventive activities, the demand of spare parts for maintenance tasks is usually random; hence, the fast and secure management of the spare parts inventory is an important factor for the...
متن کاملReplenishment policies in static and dynamic spare parts inventory control: A survey
In this paper we give a comparative overview on research works dealing with replenishment policies. Following recalls of the inventory control concepts, a recent literature review is given relating to spare parts. Cited works are classified into two categories, those who consider inventory control as statistic and the others, as dynamic. For each category, works about economic order quantity an...
متن کاملA Multi-Item Spare Parts Inventory Model with Customer Differentiation
We consider a single warehouse where spare parts of multiple stock-keeping units are kept on stock to serve customers with (close-to-)identical machines. Customers are divided into multiple customer classes, and a target aggregate fill rate is set per class. In order to get differentiated service levels, critical level policies are assumed. We formulate a multi-item, single-stage spare parts in...
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ژورنال
عنوان ژورنال: Computer Science and Information Systems
سال: 2015
ISSN: 1820-0214,2406-1018
DOI: 10.2298/csis141101034s