TY - JOUR AU - Bartos, Anikó AU - Bertók, Botond TI - Parameter tuning for a cooperative parallel implementation of process-network synthesis algorithms JF - CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH J2 - CEJOR VL - 27 PY - 2019 SP - 551 EP - 572 PG - 22 SN - 1435-246X DO - 10.1007/s10100-018-0576-1 UR - https://m2.mtmt.hu/api/publication/3414073 ID - 3414073 N1 - Cited By :6 Export Date: 18 November 2022 Correspondence Address: Bartos, A.; University of Pannonia, Egyetem str. 10, Hungary; email: bartos@dcs.uni-pannon.hu LA - English DB - MTMT ER - TY - JOUR AU - Heckl, István AU - Halász, László AU - Szlama, Adrián György AU - Cabezas, Heriberto AU - Friedler, Ferenc TI - Process Synthesis involving multi-period operations by the p-graph framework JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 83 PY - 2015 SP - 157 EP - 164 PG - 8 SN - 0098-1354 DO - 10.1016/j.compchemeng.2015.04.037 UR - https://m2.mtmt.hu/api/publication/2941212 ID - 2941212 LA - English DB - MTMT ER - TY - JOUR AU - Bertók, Botond AU - Kalauz, Károly AU - Süle, Zoltán AU - Friedler, Ferenc TI - Combinatorial Algorithm for Synthesizing Redundant Structures to Increase Reliability of Supply Chains: Application to Bio-diesel Supply JF - INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH J2 - IND ENG CHEM RES VL - 52 PY - 2013 IS - 1 SP - 181 EP - 186 PG - 6 SN - 0888-5885 DO - 10.1021/ie301393d UR - https://m2.mtmt.hu/api/publication/2093964 ID - 2093964 N1 - Cited By :23 Export Date: 13 October 2023 CODEN: IECRE Correspondence Address: Bertok, B.; Department of Computer Science and Systems Technology, Egyetem u. 10, Veszprem, H-8200, Hungary; email: bertok@dcs.uni-pannon.hu LA - English DB - MTMT ER - TY - JOUR AU - Bertók, Botond AU - Bárány, Máté József AU - Friedler, Ferenc TI - Generating and analyzing mathematical programming models of conceptual process design by p-graph software JF - INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH J2 - IND ENG CHEM RES VL - 52 PY - 2013 IS - 1 SP - 166 EP - 171 PG - 6 SN - 0888-5885 DO - 10.1021/ie301155n UR - https://m2.mtmt.hu/api/publication/2355436 ID - 2355436 N1 - Cited By :32 Export Date: 16 October 2023 CODEN: IECRE Correspondence Address: Bertok, B.; Department of Computer Science and Systems Technology, , Veszprém, Hungary; email: bertok@dcs.uni-pannon.hu AB - The primary aim of process-network synthesis, or PNS in short, is to determine the best process network achieving a desired goal, e.g., producing a set of desired products or satisfy demands. PNS has a long history, and numerous methods for executing it are available. Its acceleratedly increasing importance can be attributed to the need to respond to the rapid emergence of new technologies and fast changes in the economic environment. It is highly desirable that any corporation be able to ascertain if a new technology is viable for its business as well as to assess if its current technology remains sustainable in the changing environment. Herein, a novel method and software for PNS are proposed for generating, optimizing, and analyzing alternative process designs at the conceptual level. The method is illustrated by synthesizing alternative process designs with different network structures for the production of butanol, ethanol, and acetone from grains. Furthermore, the sustainability of the resultant process designs is analyzed. This is executed by varying the payout period and the production rate, i.e., load. © 2012 American Chemical Society. LA - English DB - MTMT ER - TY - JOUR AU - Tick, J AU - Imreh, C AU - Kovács, Zoltán TI - Business Process Modeling and the Robust PNS Problem JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 10 PY - 2013 IS - 6 SP - 193 EP - 204 PG - 12 SN - 1785-8860 DO - 10.12700/APH.10.06.2013.6.11 UR - https://m2.mtmt.hu/api/publication/2442639 ID - 2442639 LA - English DB - MTMT ER - TY - JOUR AU - Vance, L AU - Cabezas, Heriberto AU - Heckl, István AU - Bertók, Botond AU - Friedler, Ferenc TI - Synthesis of sustainable energy supply chain by the P-graph framework JF - INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH J2 - IND ENG CHEM RES VL - 52 PY - 2013 IS - 1 SP - 266 EP - 274 PG - 9 SN - 0888-5885 DO - 10.1021/ie3013264 UR - https://m2.mtmt.hu/api/publication/2194049 ID - 2194049 N1 - Office of Research and Development, Environmental Protection Agency, U.S. EPA, 26 West Martin Luther King Drive, Cincinnati, OH 45268, United States Department of Computer Science and Systems Technology, University of Pannonia, Hungary Cited By :42 Export Date: 16 October 2023 CODEN: IECRE Correspondence Address: Cabezas, H.; Office of Research and Development, 26 West Martin Luther King Drive, Cincinnati, OH 45268, United States; email: Cabezas.Heriberto@epa.gov AB - The present work proposes a computer-aided methodology for designing sustainable supply chains in terms of sustainability metrics by utilizing the P-graph framework. The methodology is an outcome of the collaboration between the Office of Research and Development (ORD) of the U.S. EPA and the research group led by the creators of the P-graph framework at the University of Pannonia. The integration of supply chain design and sustainability is the main focus of this collaboration. The P- graph framework provides a mathematically rigorous procedure for synthesizing optimal and alternative suboptimal networks subject to multiple objectives and constraints, which include profitability and sustainability in the proposed methodology. Specifically, to evaluate the sustainability of a given process under construction including its supply chain, sustainability metrics are incorporated into the design procedure. The proposed methodology is demonstrated with the optimal design of a supply chain for providing heat and electric power to an agricultural region with relatively limited land area where agricultural wastes can potentially be recovered as renewable resources. The objective functions for optimization comprise the profit and the ecological footprint. The results of the study indicate that, compared to using electricity from the grid and/or natural gas, using renewable energy resources can yield substantial cost reductions of up to 5%, as well as significant ecological footprint reductions of up to 77%. It may, therefore, be possible to design more sustainable supply chains that are both cost-effective and less environmentally damaging. © 2012 American Chemical Society. LA - English DB - MTMT ER - TY - JOUR AU - Garcia Ojeda, Juan Carlos AU - Bertók, Botond AU - Friedler, Ferenc TI - Planning Evacuation Routes with the P-graph Framework JF - CHEMICAL ENGINEERING TRANSACTIONS J2 - CHEM ENG TR VL - 29 PY - 2012 IS - 2 SP - 1531 EP - 1536 PG - 6 SN - 1974-9791 DO - 10.3303/CET1229256 UR - https://m2.mtmt.hu/api/publication/2060145 ID - 2060145 N1 - Department of Systems Engineering, Autonomous University of Bucaramanga, Av. 42 No 48-11, Bucaramanga, Colombia Department of Computer Science and Systems Technology, University of Pannonia, Egyetem u. 10, Veszprém, H-8200, Hungary Cited By :28 Export Date: 16 October 2023 Correspondence Address: Garcia-Ojeda, J.C.; Department of Systems Engineering, Av. 42 No 48-11, Bucaramanga, Colombia; email: jgarciao@unab.edu.co LA - English DB - MTMT ER - TY - JOUR AU - Kalauz, Károly AU - Süle, Zoltán AU - Bertók, Botond AU - Friedler, Ferenc AU - Fan, L T TI - Extending Process-Network Synthesis Algorithms with Time Bounds for Supply Network Design JF - CHEMICAL ENGINEERING TRANSACTIONS J2 - CHEM ENG TR VL - 29 PY - 2012 IS - 1 SP - 259 EP - 264 PG - 6 SN - 1974-9791 DO - 10.3303/CET1229044 UR - https://m2.mtmt.hu/api/publication/2060125 ID - 2060125 N1 - University of Pannonia, Department of Computer Science and Systems Technology, Egyetem u. 10, H-8200 Veszprém, Hungary Kansas State University, Department of Chemical Engineering, KS 66506 Manhattan, United States Cited By :16 Export Date: 16 October 2023 Correspondence Address: Bertók, B.; University of Pannonia, Egyetem u. 10, H-8200 Veszprém, Hungary; email: bertok@dcs.uni-pannon.hu LA - English DB - MTMT ER - TY - JOUR AU - Barany, M AU - Bertók, Botond AU - Kovács, Zoltán AU - Friedler, Ferenc AU - Fan, L T TI - Solving vehicle assignment problems by process-network synthesis to minimize cost and environmental impact of transportation JF - CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY J2 - CLEAN TECHNOL ENVIRON POLICY VL - 13 PY - 2011 IS - 4 SP - 637 EP - 642 PG - 6 SN - 1618-954X DO - 10.1007/s10098-011-0348-2 UR - https://m2.mtmt.hu/api/publication/1690541 ID - 1690541 N1 - Department of Computer Science and Systems Technology, University of Pannonia, Egyetem u. 10, 8200 Veszprém, Hungary Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506, United States Cited By :32 Export Date: 16 October 2023 Correspondence Address: Friedler, F.; Department of Computer Science and Systems Technology, Egyetem u. 10, 8200 Veszprém, Hungary; email: friedler@dcs.uni-pannon.hu Funding details: Hungarian Scientific Research Fund, OTKA, OTKA 81493K Funding text 1: Acknowledgments Authors acknowledge the support of the Hungarian Research Fund under project OTKA 81493K. LA - English DB - MTMT ER - TY - CHAP AU - Bertók, Botond AU - Adonyi, Róbert AU - Friedler, Ferenc AU - Fan, L T ED - Pistikopoulos, E ED - Georgiadis, M ED - Kokossin, A TI - Superstructure Approach to Batch Process Scheduling by S-graph Representation T2 - ESCAPE 21. 21st European symposium on computer-aided process engineering. Chalkidiki, 2011 PB - Elsevier CY - Amsterdam SN - 9780444538956 T3 - Computer aided chemical engineering ; 29. PY - 2011 SP - 1105 EP - 1109 PG - 5 DO - 10.1016/B978-0-444-53711-9.50221-2 UR - https://m2.mtmt.hu/api/publication/1976935 ID - 1976935 N1 - Department of Computer Science and Systems Technology, University of Pannonia, Egyetem u. 10, H-8200 Veszprem, Hungary Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506, United States Cited By :4 Export Date: 16 October 2023 Correspondence Address: Bertok, B.; Department of Computer Science and Systems Technology, Egyetem u. 10, H-8200 Veszprem, Hungary AB - Scheduling plays a key role in batch process operation; it has a major effect on the process' performance. Available methods for determining the optimal schedule are primarily based on either MILP/MINLP formulation in conjunction with mathematical programming (Floudas and Lin, 2004; Vaklieva-Bancheva and Kirilova, 2010) or graph representation in conjunction with combinatorial algorithms (Sanmarti et al., 2002).The current work comprises three major contributions. First, an algorithm has been crafted to generate a superstructure for a scheduling problem. The problem is defined in the form of an S-graph representing the recipe. The superstructure contains exclusively every step potentially performed by any of the functional or operating facilities or equipment units capable of completing at least one task to be scheduled. These steps involve executions of tasks and changeovers from one task to another. Second, an MILP formulation is elaborated on the basis of the superstructure, which guarantees the optimal solution of the scheduling problem. Third, a relaxation of the MILP model is incorporated into the S-graph algorithms to support the selection of subproblems and decision variables in the branch- and-bound procedure. © 2011 Elsevier B.V. LA - English DB - MTMT ER - TY - JOUR AU - Kettl, KH AU - Niemetz, N AU - Sandor, N AU - Eder, M AU - Heckl, István AU - Narodoslawsky, M TI - Regional Optimizer (RegiOpt) - Sustainable energy technology network solutions for regions JF - COMPUTER-AIDED CHEMICAL ENGINEERING J2 - COMPAIDED CHEMI ENG VL - 29 PY - 2011 SP - 1959 EP - 1963 PG - 5 SN - 1570-7946 DO - 10.1016/B978-0-444-54298-4.50170-7 UR - https://m2.mtmt.hu/api/publication/2175756 ID - 2175756 N1 - WoS:hiba:000294218900391 2019-03-08 06:03 típus nem egyezik AB - Developing energy strategies for the future is an important strategic task for regions and municipalities. Renewable based technologies and decentralized energy supply based on regional resources have the potential to locally and regionally increase added value, provide new jobs, decrease the dependency on limited fossil resources as well as on external energy providers and may have a positive impact on ecological stability. Regional Optimizer (RegiOpt) software tool is based on the concept of Process Network Synthesis (PNS) (Friedler et. al, 1995 and Halasz et. al, 2005) and of the Sustainable Process Index (SPI) (Kotscheck et. al., 1996 and Sandholzer et. al., 2005). Both methodologies are combined in RegiOpt to enable the user to create economically optimal sustainable energy technology networks and at the same time evaluate them with respect to environmental sustainability. Inputs to the software are (renewable) resources (e.g. amount of crops available for energetic use, biowaste, waste heat, etc.) and regional energy demand profiles. Both resource provision and energy demand can be provided in time dependent form. On top of that the user may supply contextual information like costs and prices of particular resources and services. Result of the calculation with RegiOpt is the economically optimized technology network that fulfils the energy needs defined by the user and renders the highest regional added value. RegiOpt also provides the ecological footprint according to the SPI methodology. The user is able to calculate different scenarios based on different input data. RegiOpt software tool will be provided in two versions. Web based "Conceptual Planner" as a simple analysis for regional stakeholders and an "Advanced Designer" for a more detailed technology network scenario generation meant for expert use. © 2011 Elsevier B.V. LA - English DB - MTMT ER - TY - JOUR AU - Süle, Zoltán AU - Bertók, Botond AU - Friedler, Ferenc AU - L T, Fan TI - Optimal Design of Supply Chains by P-garph Framework under Uncertainties JF - CHEMICAL ENGINEERING TRANSACTIONS J2 - CHEM ENG TR VL - 25 PY - 2011 SP - 453 EP - 458 PG - 6 SN - 1974-9791 DO - 10.3303/CET1125076 UR - https://m2.mtmt.hu/api/publication/1695506 ID - 1695506 N1 - Department of Computer Science, Systems Technology University of Pannonia, Egyetem u. 10, Veszprém, H-8200, Hungary Department of Chemical Engineering, Kansas State University, United States Cited By :26 Export Date: 16 October 2023 Correspondence Address: Stile, Z.; Department of Computer Science, Egyetem u. 10, Veszprém, H-8200, Hungary LA - English DB - MTMT ER - TY - JOUR AU - Fan, LT AU - Kim, Y AU - Yun, C AU - Park, SB AU - Park, S AU - Bertók, Botond AU - Friedler, Ferenc TI - Design of Optimal and Near-Optimal Enterprise-Wide Supply Networks for Multiple Products in the Process Industry JF - INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH J2 - IND ENG CHEM RES VL - 48 PY - 2009 IS - 4 SP - 2003 EP - 2008 PG - 6 SN - 0888-5885 DO - 10.1021/ie800447g UR - https://m2.mtmt.hu/api/publication/1230387 ID - 1230387 N1 - Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506, United States Department of Chemical and Biomolecular Engineering, KAIST, Daejeon 305-701, South Korea Department of Computer Science, University of Pannonia, Egyetem u. 10, Veszprem, H-8200, Hungary Cited By :15 Export Date: 16 October 2023 CODEN: IECRE Correspondence Address: Fan, L. T.; Department of Chemical Engineering, , Manhattan, KS 66506, United States; email: fan@ksu.edu LA - English DB - MTMT ER - TY - JOUR AU - Tick, József AU - Kovács, Zoltán AU - Friedler, Ferenc TI - Synthesis of Optimal Workflow Structure JF - JOURNAL OF UNIVERSAL COMPUTER SCIENCE J2 - J UNIVERS COMPUT SCI (J USC) VL - 12 PY - 2006 IS - 9 SP - 1385 EP - 1392 PG - 8 SN - 0948-695X UR - https://m2.mtmt.hu/api/publication/1268044 ID - 1268044 N1 - 5th Conference on Informatics in Higher Education, AUG 24-26, 2005., Debrecen, HUNGARY AB - Optimal synthesis of workflow structures, the formerly undefined problem, has been introduced. Mathematical programming model is presented for determining the cost optimal workflow system of a given workflow problem. On the basis of a methodology developed for process network synthesis, effective solvers are available for the systematic synthesis of workflow systems. LA - English DB - MTMT ER - TY - CHAP AU - Friedler, Ferenc AU - Varga, József AU - Feher, E AU - Fan, L T ED - Floudas, C A ED - Pardalos, P M TI - Combinatorially Accelerated Branch-and-Bound Method for Solving the MIP Model of Process Network Synthesis T2 - Nonconvex Optimization and Its Applications, State of the Art in Global Optimization, Computational Methods and Applications PB - Kluwer Academic Publishers CY - Dordrecht SN - 0792338383 PY - 1996 SP - 609 EP - 626 PG - 18 UR - https://m2.mtmt.hu/api/publication/1049662 ID - 1049662 LA - English DB - MTMT ER - TY - JOUR AU - Friedler, Ferenc AU - Varga, József AU - Fan, L T TI - Decision-Mapping: A Tool for Consistent and Complete Decisions in Process Synthesis JF - CHEMICAL ENGINEERING SCIENCE J2 - CHEM ENG SCI VL - 50 PY - 1995 IS - 11 SP - 1755 EP - 1768 PG - 14 SN - 0009-2509 DO - 10.1016/0009-2509(95)00034-3 UR - https://m2.mtmt.hu/api/publication/1044845 ID - 1044845 N1 - Department of Systems Engineering, Research Institute of Chemical Engineering, Hungarian Academy of Sciences, Veszprém, Pf. 125, H-8201, Hungary Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506, United States Cited By :159 Export Date: 16 October 2023 CODEN: CESCA Correspondence Address: Friedler, F. Funding details: U.S. Environmental Protection Agency, EPA, R-819653 Funding details: Kansas State University, KSU Funding details: Magyar Tudományos Akadémia, MTA Funding text 1: Acknowledgements--The authors thank Professor B. Imreh of Department of Computer Science, University of Szeged, Hungary, for critically reviewing our manuscript. This research was partially supported by the Hungarian Academy of Sciences. Although the research described in this article has been funded in part by the United States Environmental Protection Agency under assistance agreement R-819653 to Funding text 2: the Great Plains-Rocky Mountain Hazardous Substance Research Center for U.S. EPA Regions 7 and 8 with headquarters at Kansas State University, it has not been subjected to the Agency's peer and administrative review and, therefore, may not necessarily reflect the views of the Agency. No official endorsement should be inferred. This research was partially supported by the Kansas State University Center for Hazardous Substance Research. LA - English DB - MTMT ER - TY - JOUR AU - Friedler, Ferenc AU - Tarján, Klára AU - Huang, Y W AU - Fan, L T TI - Graph-Theoretic Approach to Process Synthesis: Polynomial Algorithm for Maximal Structure Generation JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 17 PY - 1993 SP - 929 EP - 942 PG - 14 SN - 0098-1354 DO - 10.1016/0098-1354(93)80074-W UR - https://m2.mtmt.hu/api/publication/1044846 ID - 1044846 N1 - Department of Systems Engineering, Research Institute of Chemical Engineering, Hungarian Academy of Sciences, Veszprém, Pf. 125, 8201, Hungary Department of Mathematics, University of Veszprém, Veszprém, Hungary Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506, United States Cited By :258 Export Date: 16 October 2023 CODEN: CCEND Correspondence Address: Friedler, F. Funding details: U.S. Environmental Protection Agency, EPA, R-815709 Funding text 1: pendently verifying its mathematical contents. Although the research in this article has been funded in part by the U.S. Environmental Protection Agency under assistance agreement R-815709 to the Great Plains/Rocky Mountain Hazardous Substance Research Center with headquarters at Kansas State University, it has not been subjected to the Aaencv’s Deer and administrative review and therefore may not ne&s~arily reflect the views of the Agency and no official endorsement should be inferred. This research was partially supported by the Hungarian Academy of Sciences and Kansas State University Center for Hazardous Substance. Research. LA - English DB - MTMT ER - TY - JOUR AU - Friedler, Ferenc AU - Tarján, Klára AU - Huang, Y W AU - Fan, L T TI - Combinatorial Algorithms for Process Synthesis JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 16 PY - 1992 SP - S313 EP - S320 SN - 0098-1354 DO - 10.1016/S0098-1354(09)80037-9 UR - https://m2.mtmt.hu/api/publication/1044848 ID - 1044848 N1 - Cited By :204 Export Date: 16 October 2023 Correspondence Address: Fan, L.T.; Laboratory for Artificial Intelligence in Process Engineering Department of Chemical Engineering, , Kansas, 66506, United States Funding details: U.S. Environmental Protection Agency, EPA Funding details: Kansas State University, KSU Funding text 1: Although the research in this article has been funded in part by the U.S. Environmental Protection Agency under assistance agreement headquarters at Kansas State University, it has not been subjected to the and therefore may not necessarily reflect the views of the Agency and no official endorsement should be inferred. This research was partially supported by Kansas State University Center for Hazardous Substance Research. LA - English DB - MTMT ER - TY - JOUR AU - Friedler, Ferenc AU - Tarján, Klára AU - Huang, Y W AU - Fan, L T TI - Graph-Theoretic Approach to Process Synthesis: Axioms and Theorems JF - CHEMICAL ENGINEERING SCIENCE J2 - CHEM ENG SCI VL - 47 PY - 1992 SP - 1973 EP - 1988 PG - 16 SN - 0009-2509 DO - 10.1016/0009-2509(92)80315-4 UR - https://m2.mtmt.hu/api/publication/1044849 ID - 1044849 N1 - Department of Systems Engineering Research Institute of Technical Chemistry, Hungarian Academy of Sciences, P.F. 125, Veszprém, 8201, Hungary Institute of Mathematics, University of Veszprém, Veszprém, Hungary Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506, United States Cited By :357 Export Date: 16 October 2023 CODEN: CESCA Correspondence Address: Friedler, F.; Department of Systems Engineering Research Institute of Technical Chemistry, Hungarian Academy of Sciences, P.F. 125, Veszprém, 8201, Hungary Funding details: U.S. Environmental Protection Agency, EPA, R-815709 Funding details: Kansas State University, KSU Funding text 1: Acknowledgments-Although the research in this article has been funded in part by the U.S. Environmental Protection Agency under assistance agreement R-815709 to the Haaar-dous Substance Research Center for U.S. EPA Regions 7 and 8 with headquarters at Kansas State University, it has not been subjected to the Agency’s peer and administrative review and therefore may not necessarily reflect the views of the Agency and no official endorsement should be inferred. This research was partially supported by Kansas State University Center for Hazardous Substance Research. LA - English DB - MTMT ER -