A novel learning based approach for a new integrated location-routing and scheduling problem within cross-docking considering direct shipment

Applied Soft Computing Journal

Volumn 34, Issue , 2015, Pages 274-285

  Mokhtarinejad, Maede ^a   Ahmadi, Abbas ^a   Karimi, Behrooz ^a   Rahmati, Seyed Habib A ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Bi clustering; Cross docking; Genetic algorithm; Vehicle routing scheduling

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTOMOBILE MANUFACTURE; CLUSTERING ALGORITHMS; COST REDUCTION; COSTS; DOCKING; GENETIC ALGORITHMS; HEURISTIC METHODS; LEARNING ALGORITHMS; LEARNING SYSTEMS; LOCATION; MANUFACTURE; OPTIMIZATION; SALES; SCHEDULING; SHIPS; SUPPLY CHAIN MANAGEMENT; TAGUCHI METHODS; VEHICLES;

BENCH-MARK PROBLEMS; BI-CLUSTERING; CROSSDOCKING; DISTRIBUTION SYSTEMS; LEARNING-BASED APPROACH; STATISTICAL ANALYSIS METHODS; VEHICLE ROUTING AND SCHEDULING; VEHICLE ROUTING SCHEDULING;

PROBLEM SOLVING;

EID: 84930940172     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2015.04.062     Document Type: Article

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