Leandro Magatão
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A mixed integer programming approach for scheduling commodities in a pipeline
L Magatão, LVR Arruda, F Neves Jr
Computers & chemical engineering 28 (1-2), 171-185, 2004
1672004
A mixed integer programming approach for scheduling commodities in a pipeline
L Magatão, LVR Arruda, F Neves Jr
Computers & chemical engineering 28 (1-2), 171-185, 2004
1672004
An operational scheduling model to product distribution through a pipeline network
SN Boschetto, L Magatão, WM Brondani, F Neves-Jr, LVR Arruda, ...
Industrial & Engineering Chemistry Research 49 (12), 5661-5682, 2010
722010
An efficient approach to the operational scheduling of a real-world pipeline network
F Neves-Jr, L Magatão, SL Stebel, SN Boschetto, LC Felizari, ...
Computer aided chemical engineering 24, 697-702, 2007
412007
A combined CLP-MILP approach for scheduling commodities in a pipeline
L Magatão, LVR Arruda, F Neves-Jr
Journal of Scheduling 14 (1), 57-87, 2011
342011
Planning and sequencing product distribution in a real-world pipeline network: an MILP decomposition approach
SNB Magatão, L Magatão, H Luis Polli, F Neves Jr, LVR de Arruda, ...
Industrial & engineering chemistry research 51 (12), 4591-4609, 2012
282012
Traveling worker assembly line (re) balancing problem: Model, reduction techniques, and real case studies
CGS Sikora, TC Lopes, L Magatão
European Journal of Operational Research 259 (3), 949-971, 2017
272017
Balancing a robotic spot welding manufacturing line: An industrial case study
TC Lopes, CGS Sikora, RG Molina, D Schibelbain, LCA Rodrigues, ...
European Journal of Operational Research 263 (3), 1033-1048, 2017
262017
Using CLP and MILP for scheduling commodities in a pipeline
L Magatão, LVR Arruda, F Nevesxe Jr
Computer Aided Chemical Engineering 20, 1027-1032, 2005
212005
An integrated framework for operational scheduling of a real-world pipeline network
SN Boschetto, LC Felizari, L Yamamoto, L Magatão, SL Stebel, ...
Computer Aided Chemical Engineering 25, 259-264, 2008
202008
Mixed integer linear programming and constraint logic programming: towards a unified modeling framework
L Magatao
Centro Federal de Educação Tecnológica do Paraná, 2005
182005
Novel MILP decomposition approach for scheduling product distribution through a pipeline network
SNB Magatão, L Magatão, F Neves-Jr, LVR Arruda
Industrial & Engineering Chemistry Research 54 (18), 5077-5095, 2015
172015
Balancing and cyclical scheduling of asynchronous mixed-model assembly lines with parallel stations
TC Lopes, AS Michels, CGS Sikora, L Magatão
Journal of Manufacturing Systems 50, 193-200, 2019
132019
A matheuristic decomposition approach for the scheduling of a single-source and multiple destinations pipeline system
WHT Meira, L Magatão, S Relvas, AP Barbosa-Póvoa, F Neves Jr, ...
European Journal of Operational Research 268 (2), 665-687, 2018
122018
The Robotic Assembly Line Design (RALD) problem: Model and case studies with practical extensions
AS Michels, TC Lopes, CGS Sikora, L Magatão
Computers & Industrial Engineering 120, 320-333, 2018
122018
Enhancing supply chain decisions using constraint programming: a case study
LCA Rodrigues, L Magatão
Mexican International Conference on Artificial Intelligence, 1110-1121, 2007
112007
Mixed-model assembly lines balancing with given buffers and product sequence: model, formulation comparisons, and case study
TC Lopes, CGS Sikora, AS Michels, L Magatão
Annals of Operations Research 286 (1), 475-500, 2020
102020
Collaborative approach based on heuristic algorithm and milp model to assignment and sequencing of oil derivative batches in pipeline networks
HL Polli, L Magatão, SNB Magatão, F Neves Jr, LVR Arruda
Industrial & Engineering Chemistry Research 56 (9), 2492-2514, 2017
102017
A mixed integer programming approach for scheduling commodities in a pipeline
L Magatão, LVR Arruda, F Neves Jr
Computer Aided Chemical Engineering 10, 715-720, 2002
102002
A Benders’ decomposition algorithm with combinatorial cuts for the multi-manned assembly line balancing problem
AS Michels, TC Lopes, CGS Sikora, L Magatão
European Journal of Operational Research 278 (3), 796-808, 2019
92019
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