Intelligent system for selection of order picking technologies
| Autor: | Tomás Eloy Salais-Fierro, Jania Astrid Saucedo-Martínez, Gabriela Villarreal-Zapata |
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| Rok vydání: | 2020 |
| Předmět: |
Prioritization
Order picking Artificial neural network Computer Networks and Communications Process (engineering) Computer science media_common.quotation_subject Analytic hierarchy process 020302 automobile design & engineering 020206 networking & telecommunications 02 engineering and technology Industrial engineering Weighting 0203 mechanical engineering Order (business) 0202 electrical engineering electronic engineering information engineering Quality (business) Electrical and Electronic Engineering Selection (genetic algorithm) Information Systems media_common |
| Zdroj: | Wireless Networks. 26:5809-5816 |
| ISSN: | 1572-8196 1022-0038 |
| DOI: | 10.1007/s11276-020-02262-x |
| Popis: | The material handling industry in order to increase the productivity and quality of the order picking process has developed various technical or technological equipment. Therefore, to establish the right technology for every specific business context is a decision that need to be evaluated in a right way. The purpose of this paper is to create an intelligent decision model to select the most appropriate order picking technology. The present study shows an artificial neural network (ANN) trained with the results of an analytic hierarchy process (AHP). The weighting of the determining criteria and the prioritization of the different technologies from several experts are obtained through the AHP, while the artificial neural network is used to automate the decision process. The designed ANN can synthesize expert judgments and then predict the prioritization of order picking technologies. |
| Databáze: | OpenAIRE |
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