Solving the logistic problems with optimal resource assignment using fuzzy logic methods
| Autor: | Miha Moškon, Štefan Novak, Nikolaj Zimic, Miha Mraz, Marino Medeot, Iztok Lebar Bajec |
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| Rok vydání: | 2011 |
| Předmět: |
Economics and Econometrics
Mathematical optimization Basis (linear algebra) Computer science Strategy and Management Mechanical Engineering Fuzzy logic Field (computer science) Computer Science Applications Resource (project management) Argument Hungarian algorithm Automotive Engineering Fuzzy set operations Resource allocation |
| Zdroj: | Journal of Advanced Transportation. 47:447-460 |
| ISSN: | 0197-6729 |
| DOI: | 10.1002/atr.173 |
| Popis: | Logistics, including in the field of transportation, requires a focus on optimizing resource assignment. This article presents an argument for the use of fuzzy logic methods to solve logistic problems with optimal resource assignment. The basis of the author’s research is the crisp solution which is also presented in the article. They upgrade the basic solution to handle vaguely (i.e. fuzzily) defined requirements and resource properties. The optimal resource configuration is calculated with the aid of a Hungarian algorithm which uses the data calculated with the fuzzy methods for its inputs. The authors use a military convoy formation as their case study to illustrate the methodology. They conclude that this method is able to cope with vaguely defined resources and demands, which frequently arise in real life logistic problems. |
| Databáze: | OpenAIRE |
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