Fuzzy-logic in the supply chain management - an approach to quantify the uncertainties in production and supply processes

IEEE International Conference on Fuzzy Systems

Volumn 1, Issue , 2002, Pages 324-329

  Teich, Tobias ^a   Zschorn, Lars ^a   Neubert, Ralf ^a   Görlitz, Otmar ^a  

^a CHEMNITZ UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

OPTIMAL SHORT TERM CHOICE; SUPPLY CHAIN MANAGEMENT;

AUTOMATION; ELECTRONIC DATA INTERCHANGE; INFORMATION TECHNOLOGY; MATHEMATICAL MODELS; OPTIMAL CONTROL SYSTEMS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; PRODUCTION CONTROL; RELIABILITY THEORY; UNCERTAIN SYSTEMS;

FUZZY SETS;

EID: 0036456031     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Log1S: http://www.tu-chemnitz.de/wirtschaft/bwl7/logis, 2001.
2. Mülder, W., Electronic Data Interchange - Standard mit neuen Perspektiven, Office Management, 1/1999, S. 20.
3. Teich, T., Hierarchielose Regionale Produktionsnetzwerke, Chemnitz: GUV-Verlag, 2001.
4. Oracle: http://www.oracle.com/appsnet/products/supply/collateral/pa_atp.html, 2001.
5. Ortmann, L., Collaborative Business Solutions, Lieferzusagen machen und einhalten im Rahmen einer Supply Chain Collaboration, Verlag Online GmbH, 2001, S. 816.10.
6. Hofmann, T., Multi-Agenten-Systeme in der Produktionswirtschaft, Chemnitz: 2001.