caa a22 4500 445838485 CHVBK 20180317145336.0 cr unu---uuuuu 170323e20110201xx s 000 0 eng 10.1007/s10951-010-0186-9 doi (NATIONALLICENCE)springer-10.1007/s10951-010-0186-9 A combined CLP-MILP approach for scheduling commodities inapipeline [Elektronische Daten] [L. Magatão, L. Arruda, F. Neves-Jr] This paper addresses the problem of developing an optimization model to aid the operational scheduling in a real-world pipeline scenario. The pipeline connects refinery and harbor, conveying different types of commodities (gasoline, diesel, kerosene, etc.). An optimization model was developed to determine pipeline scheduling with improved efficiency. This model combines constraint logic programming (CLP) and mixed integer linear programming (MILP) in a CLP-MILP approach. The proposed model uses decomposition strategies, continuous time representation, intervals that indicate time constraints (time windows), and a series of operational issues, such as the seasonal and hourly cost of electric energy (on-peak demand hours). Real cases were solved in a matter of seconds. The computational results have demonstrated that the model is able to define new operational points to the pipeline, providing significant cost savings. Indeed the CLP-MILP model is an efficient tool to aid operational decision-making within this real-world pipeline scenario. Springer Science+Business Media, LLC, 2010 Constraint logic programming (CLP) nationallicence Mixed integer linear programming (MILP) nationallicence Scheduling nationallicence Pipeline nationallicence Magatão L. Graduate School in Electrical Engineering and Industrial Computer Science, Federal University of Technology—Paraná (UTFPR), Av. Sete de Setembro, 3165, 80230-901, Curitiba, PR, Brazil aut Arruda L. Graduate School in Electrical Engineering and Industrial Computer Science, Federal University of Technology—Paraná (UTFPR), Av. Sete de Setembro, 3165, 80230-901, Curitiba, PR, Brazil aut Neves-Jr F. Graduate School in Electrical Engineering and Industrial Computer Science, Federal University of Technology—Paraná (UTFPR), Av. Sete de Setembro, 3165, 80230-901, Curitiba, PR, Brazil aut Journal of Scheduling Springer US; http://www.springer-ny.com 14/1(2011-02-01), 57-87 1094-6136 14:1<57 2011 14 10951 https://doi.org/10.1007/s10951-010-0186-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10951-010-0186-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Magatão L. Graduate School in Electrical Engineering and Industrial Computer Science, Federal University of Technology—Paraná (UTFPR), Av. Sete de Setembro, 3165, 80230-901, Curitiba, PR, Brazil aut NATIONALLICENCE 700 1- Arruda L. Graduate School in Electrical Engineering and Industrial Computer Science, Federal University of Technology—Paraná (UTFPR), Av. Sete de Setembro, 3165, 80230-901, Curitiba, PR, Brazil aut NATIONALLICENCE 700 1- Neves-Jr F. Graduate School in Electrical Engineering and Industrial Computer Science, Federal University of Technology—Paraná (UTFPR), Av. Sete de Setembro, 3165, 80230-901, Curitiba, PR, Brazil aut NATIONALLICENCE 773 0- Journal of Scheduling Springer US; http://www.springer-ny.com 14/1(2011-02-01), 57-87 1094-6136 14:1<57 2011 14 10951 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer