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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 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: 14.10.2007 → 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

    Research areas

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

Other publications by the same author(s)

Analysis of the relevance of models, influencing factors and the point in time of the forecast on the prediction quality in order-related delivery time determination using machine learning

Rokoss, A., Popkes, L. & Schmidt, M., 2024, Proceedings of the CPSL 2024. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 415-431 17 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 2024).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Case study on delivery time determination using a machine learning approach in small batch production companies

Rokoss, A., Syberg, M., Tomidei, L., Hülsing, C., Deuse, J. & Schmidt, M., 12.2024, In: Journal of Intelligent Manufacturing. 35, 8, p. 3937-3958 22 p.

Research output: Journal contributions › Journal articles › Research › peer-review

Investigation On The Influence Of Remanufacturing On Production Planning And Control – A Systematic Literature Review

Schulz, J., Hillnhagen, S. & Schmidt, M., 07.2024, Proceedings of the CPSL 2024. Herberger, D. & Hübner, M. (eds.). publish-Ing., p. 13-27 15 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 2024).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Quantifying circular economy pathways of decommissioned onshore wind turbines: The case of Denmark and Germany

Kramer, K. J., Abrahamsen, A. B., Beauson, J., Hansen, U. E., Clausen, N. E., Velenturf, A. P. M. & Schmidt, M., 01.09.2024, In: Sustainable Production and Consumption. 49, p. 179-192 14 p.

Research output: Journal contributions › Journal articles › Research › peer-review

The Influence Of Product Reuse On Production Planning and Control

Schulz, J., Rokoss, A. & Schmidt, M., 01.01.2024, In: Procedia CIRP. 130, p. 1543-1548 6 p.

Research output: Journal contributions › Conference article in journal › Research › peer-review

DOI

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