1 resultado para Biomass energy industries
em Instituto Politécnico de Bragança
Filtro por publicador
- Aberdeen University (2)
- Aberystwyth University Repository - Reino Unido (1)
- Academic Research Repository at Institute of Developing Economies (4)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (7)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- Aquatic Commons (5)
- Archive of European Integration (9)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (57)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (4)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (7)
- Boston University Digital Common (1)
- Brock University, Canada (1)
- Cambridge University Engineering Department Publications Database (15)
- CentAUR: Central Archive University of Reading - UK (5)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (14)
- Cochin University of Science & Technology (CUSAT), India (4)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (5)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
- Dalarna University College Electronic Archive (2)
- Digital Commons - Michigan Tech (6)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (2)
- DigitalCommons - The University of Maine Research (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (3)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (5)
- Greenwich Academic Literature Archive - UK (2)
- Helda - Digital Repository of University of Helsinki (4)
- Indian Institute of Science - Bangalore - Índia (30)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico de Viseu (1)
- Laboratório Nacional de Energia e Geologia - Portugal (1)
- National Center for Biotechnology Information - NCBI (1)
- Publishing Network for Geoscientific & Environmental Data (17)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (18)
- Queensland University of Technology - ePrints Archive (496)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (2)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (5)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (61)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- South Carolina State Documents Depository (2)
- Universidad de Alicante (3)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (9)
- Universidade Complutense de Madrid (1)
- Universidade dos Açores - Portugal (1)
- Universidade Federal do Pará (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (7)
- University of Michigan (32)
- University of Queensland eSpace - Australia (6)
- University of Washington (2)
- WestminsterResearch - UK (1)
Resumo:
The organizational structure of the companies in the biomass energy sector, regarding the supply chain management services, can be greatly improved through the use of software decision support tools. These tools should be able to provide real-time alternative scenarios when deviations from the initial production plans are observed. To make this possible it is necessary to have representative production chain process models where several scenarios and solutions can be evaluated accurately. Due to its nature, this type of process is more adequately represented by means of event-based models. In particular, this work presents the modelling of a typical biomass production chain using the computing platform SIMEVENTS. Throughout the article details about the conceptual model, as well as simulation results, are provided