Service Level Driven Stock Allocation: A Model Based Enterprise Information System

Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearchpeer-review

Authors

The conflict between the objectives for logistic efficiency and storage costs largely influences inventory management. The positioning in this tension field poses a challenge to decision makers. The Logistic Storage Analysis (LSA) is an industry proven control model used to dimension stock within this field of tension. To this end, the LSA offers a variety of tools, derived from Logistic Operating Curves, for aggregating and visualizing data and is thus an ideal foundation and starting point for the Enterprise Information System (EIS) currently being developed.
Original languageEnglish
Title of host publicationResearch and Practical Issues of Enterprise Information Systems II - IFIP TC 8 WG 8.9 International Conference on Research and Practical lssues of Enterprise Information Systems, CONFENIS 2007
EditorsLi D. Xu, A. Min Tjoa, Sohail S. Chaudhry
Number of pages9
Place of PublicationBoston, MA
PublisherSpringer US
Publication date2008
Pages229-237
ISBN (print)978-1-4757-0563-8
ISBN (electronic)978-0-387-75902-9
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventIFIP TC 8 WG 8.9 International Conference on Research and Practical Issues of Enterprise Information Systems 2007 - Beijing, China
Duration: 14.10.200716.10.2007
https://www.researchgate.net/publication/321619742_Research_and_Practical_Issues_of_Enterprise_Information_Systems_II_Volume_2_IFIP_TC_8_WG_89_International_Conference_on_Research_and_Practical_Issues_of_Enterprise_Information_Systems_CONFENIS_2007_Oc

Bibliographical note

IFIP TC 8 WG 8.9 International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS 2007) October 14–16, 2007, Beijing, China

    Research areas

  • Engineering - EIS for manufacturing sector, Logistic operations, Logistic operation curves , Stock allocation, Supply chain planning and execution , Supply chain management