A belief-rule-based inference method for aggregate production planning under uncertainty

International Journal of Production Research

Volumn 51, Issue 1, 2013, Pages 83-105

  Li, Bin ^a   Wang, Hongwei ^a   Yang, Jianbo ^b   Guo, Min ^a   Qi, Chao ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

aggregate production planning; belief rule base; evidential reasoning; knowledge based system; uncertainty

Indexed keywords

AGGREGATE PRODUCTION PLANNING; AUTOMOTIVE PRODUCTION; BELIEF-RULE BASE; COMPARATIVE STUDIES; CONTINUOUS MODE; DECISION MAKERS; DEMAND FLUCTUATIONS; DETERMINISTIC FORECASTS; DISCRETE PRODUCTION; EVIDENTIAL REASONING; EXPERT KNOWLEDGE; FORECAST ERRORS; FUZZY C MEAN; HIDDEN PATTERNS; HUMAN COGNITION; IDENTIFICATION ALGORITHMS; INFERENCE METHODS; INFORMATION REPRESENTATION; INVENTORY LEVELS; K-MEANS; OPERATIONAL DATA; REAL-WORLD PROBLEM; SIMULTANEOUS IDENTIFICATION; SWITCHING MODES; TRANSFORMATION TECHNIQUES; UNCERTAIN DEMAND; UNCERTAINTY;

CLUSTERING ALGORITHMS; FORECASTING; INFERENCE ENGINES; KNOWLEDGE BASED SYSTEMS;

AGGREGATES;

EID: 84870300612     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2011.652262     Document Type: Article

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