1 resultado para Packing for shipment
em Massachusetts Institute of Technology
Filtro por publicador
- Repository Napier (1)
- Aberystwyth University Repository - Reino Unido (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- Aquatic Commons (19)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (10)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (5)
- Aston University Research Archive (4)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (5)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (40)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (5)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (2)
- Boston University Digital Common (3)
- Brock University, Canada (13)
- CaltechTHESIS (9)
- Cambridge University Engineering Department Publications Database (27)
- CentAUR: Central Archive University of Reading - UK (55)
- Center for Jewish History Digital Collections (3)
- Chapman University Digital Commons - CA - USA (2)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (123)
- Cochin University of Science & Technology (CUSAT), India (6)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (2)
- CORA - Cork Open Research Archive - University College Cork - Ireland (6)
- Department of Computer Science E-Repository - King's College London, Strand, London (5)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons at Florida International University (1)
- DigitalCommons@The Texas Medical Center (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (29)
- Greenwich Academic Literature Archive - UK (8)
- Harvard University (2)
- Helda - Digital Repository of University of Helsinki (12)
- Indian Institute of Science - Bangalore - Índia (242)
- Instituto Politécnico do Porto, Portugal (10)
- Massachusetts Institute of Technology (1)
- National Center for Biotechnology Information - NCBI (9)
- Publishing Network for Geoscientific & Environmental Data (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (35)
- Queensland University of Technology - ePrints Archive (30)
- Repositorio Academico Digital UANL (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositorio Institucional da UFLA (RIUFLA) (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (120)
- Research Open Access Repository of the University of East London. (1)
- Universidad del Rosario, Colombia (5)
- Universidad Politécnica de Madrid (14)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (6)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (12)
- University of Michigan (31)
- University of Queensland eSpace - Australia (6)
Resumo:
We address the problem of jointly determining shipment planning and scheduling decisions with the presence of multiple shipment modes. We consider long lead time, less expensive sea shipment mode, and short lead time but expensive air shipment modes. Existing research on multiple shipment modes largely address the short term scheduling decisions only. Motivated by an industrial problem where planning decisions are independent of the scheduling decisions, we investigate the benefits of integrating the two sets of decisions. We develop sequence of mathematical models to address the planning and scheduling decisions. Preliminary computational results indicate improved performance of the integrated approach over some of the existing policies used in real-life situations.