1 resultado para Spatial distribution of the population
em Digital Peer Publishing
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (1)
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- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (4)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (5)
- Aquatic Commons (49)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (2)
- Archive of European Integration (12)
- Aston University Research Archive (36)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (1)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (24)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (11)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Biodiversity Heritage Library, United States (1)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (37)
- Brock University, Canada (2)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- CaltechTHESIS (3)
- Cambridge University Engineering Department Publications Database (12)
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- Central European University - Research Support Scheme (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (54)
- Cochin University of Science & Technology (CUSAT), India (3)
- Collection Of Biostatistics Research Archive (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (18)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (4)
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- Digital Peer Publishing (1)
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- Duke University (5)
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- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositorio Institucional da UFLA (RIUFLA) (1)
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- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (112)
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- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (5)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- School of Medicine, Washington University, United States (1)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad de Alicante (3)
- Universidad Politécnica de Madrid (16)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (2)
- Universidade dos Açores - Portugal (1)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (3)
- Universidade Federal do Pará (9)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (7)
- Université de Montréal, Canada (1)
- University of Connecticut - USA (1)
- University of Michigan (50)
- University of Queensland eSpace - Australia (24)
- University of Washington (7)
- WestminsterResearch - UK (1)
Resumo:
The estimation of the average travel distance in a low-level picker-to-part order picking system can be done by analytical methods in most cases. Often a uniform distribution of the access frequency over all bin locations is assumed in the storage system. This only applies if the bin location assignment is done randomly. If the access frequency of the articles is considered in the bin location assignment to reduce the average total travel distance of the picker, the access frequency over the bin locations of one aisle can be approximated by an exponential density function or any similar density function. All known calculation methods assume that the average number of orderlines per order is greater than the number of aisles of the storage system. In case of small orders this assumption is often invalid. This paper shows a new approach for calculating the average total travel distance taking into account that the average number of orderlines per order is lower than the total number of aisles in the storage system and the access frequency over the bin locations of an aisle can be approximated by any density function.