1 resultado para Job analysis.
em Bulgarian Digital Mathematics Library at IMI-BAS
Filtro por publicador
- Repository Napier (2)
- Aberystwyth University Repository - Reino Unido (1)
- Academic Research Repository at Institute of Developing Economies (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (1)
- Aquatic Commons (1)
- Archive of European Integration (5)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Aston University Research Archive (14)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (13)
- Boston University Digital Common (2)
- Brock University, Canada (7)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- CentAUR: Central Archive University of Reading - UK (1)
- Center for Jewish History Digital Collections (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (1)
- Cochin University of Science & Technology (CUSAT), India (5)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (4)
- Dalarna University College Electronic Archive (1)
- Digital Commons at Florida International University (17)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (4)
- DigitalCommons@University of Nebraska - Lincoln (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (1)
- Escola Superior de Educação de Paula Frassinetti (1)
- Glasgow Theses Service (1)
- Helda - Digital Repository of University of Helsinki (2)
- Indian Institute of Science - Bangalore - Índia (2)
- Instituto Politécnico do Porto, Portugal (1)
- Instituto Superior de Psicologia Aplicada - Lisboa (2)
- Portal de Revistas Científicas Complutenses - Espanha (3)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (11)
- Queensland University of Technology - ePrints Archive (726)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (4)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (6)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (1)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (5)
- Universidad Politécnica de Madrid (1)
- Universidade Federal do Pará (1)
- Universidade Técnica de Lisboa (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (3)
- University of Michigan (32)
- University of Queensland eSpace - Australia (8)
- Worcester Research and Publications - Worcester Research and Publications - UK (3)
Resumo:
The usual assumption that the processing times of the operations are known in advance is the strictest one in scheduling theory. This assumption essentially restricts practical aspects of deterministic scheduling theory since it is not valid for the most processes arising in practice. The paper is devoted to a stability analysis of an optimal schedule, which may help to extend the significance of scheduling theory for decision-making in the real-world applications. The term stability is generally used for the phase of an algorithm, at which an optimal solution of a problem has already been found, and additional calculations are performed in order to study how solution optimality depends on variation of the numerical input data.