1 resultado para Pyrolysis Mathematical models
em Massachusetts Institute of Technology
Filtro por publicador
- Academic Archive On-line (Mid Sweden University; Sweden) (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (22)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (6)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Aston University Research Archive (6)
- Biblioteca de Teses e Dissertações da USP (7)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (9)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (21)
- Biodiversity Heritage Library, United States (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (18)
- Brock University, Canada (3)
- Bulgarian Digital Mathematics Library at IMI-BAS (3)
- CentAUR: Central Archive University of Reading - UK (31)
- Central European University - Research Support Scheme (1)
- Cochin University of Science & Technology (CUSAT), India (6)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (100)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- CUNY Academic Works (1)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- Deposito de Dissertacoes e Teses Digitais - Portugal (1)
- Digital Commons - Michigan Tech (2)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (1)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (5)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (26)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (2)
- Greenwich Academic Literature Archive - UK (1)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Instituto de Engenharia Nuclear, Brazil - Carpe dIEN (1)
- Instituto Nacional de Saúde de Portugal (1)
- Instituto Politécnico do Porto, Portugal (12)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (3)
- Martin Luther Universitat Halle Wittenberg, Germany (3)
- Massachusetts Institute of Technology (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (13)
- Nottingham eTheses (1)
- Publishing Network for Geoscientific & Environmental Data (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (7)
- Repositório da Produção Científica e Intelectual da Unicamp (4)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (354)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (5)
- Scielo Saúde Pública - SP (38)
- Universidad de Alicante (6)
- Universidad del Rosario, Colombia (7)
- Universidad Politécnica de Madrid (52)
- Universidade Complutense de Madrid (1)
- Universidade do Minho (3)
- Universidade Federal do Pará (18)
- Universidade Federal do Rio Grande do Norte (UFRN) (15)
- Universitat de Girona, Spain (16)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (12)
- Université de Montréal, Canada (5)
- University of Connecticut - USA (1)
- University of Michigan (34)
- University of Queensland eSpace - Australia (22)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
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.