Service Level Driven Stock Allocation: A Model Based Enterprise Information System
Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-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 language | English |
|---|---|
| Title of host publication | Research 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 |
| Editors | Li D. Xu, A. Min Tjoa, Sohail S. Chaudhry |
| Number of pages | 9 |
| Place of Publication | Boston, MA |
| Publisher | Springer US |
| Publication date | 2008 |
| Pages | 229-237 |
| ISBN (print) | 978-1-4757-0563-8 |
| ISBN (electronic) | 978-0-387-75902-9 |
| DOIs | |
| Publication status | Published - 2008 |
| Externally published | Yes |
| Event | IFIP TC 8 WG 8.9 International Conference on Research and Practical Issues of Enterprise Information Systems 2007 - Beijing, China Duration: 14.10.2007 → 16.10.2007 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
- Engineering - EIS for manufacturing sector, Logistic operations, Logistic operation curves , Stock allocation, Supply chain planning and execution , Supply chain management