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[43812] Artykuł:

A Hybrid Multi-agent Approach to the Solving Supply Chain Problems

Czasopismo: Elsevier, Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, KES-2014   Tom: 35, Zeszyt: Complete, Strony: 1557-1566
ISSN:  1877-0509
Wydawca:  ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Opublikowano: 2014
Seria wydawnicza:  Procedia Computer Science
 
  Autorzy / Redaktorzy / Twórcy
Imię i nazwisko Wydział Katedra Procent
udziału		 Liczba
punktów
Paweł Sitek orcid logoWEAiIKatedra Systemów Informatycznych *337.50  
Izabela Ewa Nielsen33.00  
Jarosław Wikarek orcid logoWEAiIKatedra Systemów Informatycznych *337.50  

Grupa MNiSW:  Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science)
Punkty MNiSW: 15
Klasyfikacja Web of Science: Proceedings Paper

Pełny tekstPełny tekst     DOI LogoDOI     Web of Science Logo Web of Science     Web of Science LogoYADDA/CEON    
Keywords:

multi-agent  constraint logic programming  mathematical programming  optimization  supply chain management  hybridization 


Abstract:

The paper presents a concept and application of a hybrid multi-agent approach to modeling and optimization the supply chain problems. Two environments (mathematical programming (MP) and constraint logic programming (CLP)) and two types of agents were integrated. This integration and hybridization, complemented with an adequate transformation of the problem, facilitates a significant reduction of the combinatorial problem. The whole process takes place at the implementation layer, which makes it possible to use the structure of the problem being solved, implementation environments and the very data. The strengths of MP and CLP, in which constraints are treated in a different way and different methods are implemented, were combined to use the strengths of both. The proposed approach is particularly important for the decision models with an objective function and many discrete decision variables added up in multiple constraints. The presented multi-agent approach will be compared with classical mathematical programming on the same data sets and models. In addition, the proposed approach will be used for modelling and optimization of the hybrid model, which has not only linear constraints but also logical constraints. (C) 2014 The Authors. Published by Elsevier B.V.


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