Calculation of Rational Inventory of Spare Parts in Power Enterprise Based on Chronological-Order Prediction
Jian Li and
Man Xu ()
Additional contact information
Jian Li: Tianjin University
Man Xu: Nankai University
A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 841-850 from Springer
Abstract:
Abstract Material, the basis for the normal operation of enterprises, is greatly demanded in power grid enterprises, shows strong effectiveness, and directly affects the operation costs of enterprises. The whole logistics process of enterprises, including purchasing, handling, transportation and distribution of materials, is inseparable from inventory. In short, inventory has penetrated into every link of the whole logistics system. At present, the role of inventory has been attached great importance to large enterprise management process. Inventory management requires huge investment, thus it becomes the center and ultimate goal of inventory management and logistics management to reduce inventory and inventory costs or even realize no inventory. This study proposes methods to reasonably calculate the spare parts inventory, and puts forward solutions to optimized management of spare parts inventory in power enterprises, with the final purpose to improve management mode of traditional spare parts and achieve intensive, lean, standard management of spare parts in power grid enterprises.
Keywords: Inventory; Power enterprise; Prediction; Spare part (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40063-6_83
Ordering information: This item can be ordered from
http://www.springer.com/9783642400636
DOI: 10.1007/978-3-642-40063-6_83
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().