TY - JOUR AU - Chofreh, AG AU - Goni, FA AU - Shaharoun, AM AU - Ismail, S AU - Klemeš, Jiri Jaromir TI - Sustainable enterprise resource planning: Imperatives and research directions JF - JOURNAL OF CLEANER PRODUCTION J2 - J CLEAN PROD VL - 71 PY - 2014 SP - 139 EP - 147 PG - 9 SN - 0959-6526 DO - 10.1016/j.jclepro.2014.01.010 UR - https://m2.mtmt.hu/api/publication/2826248 ID - 2826248 AB - The world faces to the problem of integration between sustained business functions. The sustainability data is not sufficiently integrated and used for decision making. To solve this problem, organizations need information systems to facilitate their sustainability initiatives. In this study has been proposed Sustainable Enterprise Resource Planning (S-ERP) system as a holistic solution to support sustainability initiatives. The paper highlights the significance of S-ERP system and provides its future research direction to guide the academic researchers. Two research areas are included - the ERP and sustainability, to discover how academicians and practitioners solved the problems of integration and sustainability. The S-ERP systems' life cycle and identified six key areas include: concept, system design, pre-implementation, implementation, post-implementation, and system extension/retirement have been defined. They distinguish number of broad research themes based on key areas. S-ERP system appears as a promising solution to solve integration problems in sustainability; however the academic researchers need to take certain direction for assisting organizations for solving their business issues. © 2014 Elsevier Ltd. All rights reserved. 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 - Garcia Ojeda, Juan Carlos AU - Bertók, Botond AU - Friedler, Ferenc AU - Fan, LT TI - Building-evacuation-route planning via time-expanded process-network synthesis JF - FIRE SAFETY JOURNAL J2 - FIRE SAFETY J VL - 61 PY - 2013 SP - 338 EP - 347 PG - 10 SN - 0379-7112 DO - 10.1016/j.firesaf.2013.09.023 UR - https://m2.mtmt.hu/api/publication/2706015 ID - 2706015 N1 - Autonomous University of Bucaramanga, Department of Systems Engineering, Avenida 42 No 48-11, Bucaramanga, Santander, Colombia Department of Computer Science and Systems Technology, University of Pannonia, Veszprem, Hungary Department of Chemical Engineering, Kansas State University, Manhattan, KS, United States Cited By :17 Export Date: 16 October 2023 CODEN: FSJOD Correspondence Address: García-Ojeda, J.C.; Autonomous University of Bucaramanga, Avenida 42 No 48-11, Bucaramanga, Santander, Colombia; email: jgarciao@unab.edu.co Funding details: Universidad Autónoma de Bucaramanga, UNAB Funding text 1: The first author acknowledges the support of the Autonomous University of Bucaramanga and the University of Pannonia . This work was undertaken under the auspices of project TÁMOP-4.2.2/B-10/1-2010-0025. AB - A method and software are proposed for optimal building-evacuation-route planning in terms of identifying evacuation routes and scheduling of evacuees on each route. First, the building-evacuation routes are represented by a P-graph, which gives rise to a time-expanded process-network synthesis (PNST) problem that can be algorithmically solved by the P-graph framework. In the proposed method, each location and passage in the building is given by a set of attributes to be taken into account in the evacuation-route planning. The evacuation time is calculated as a minimum cost of the corresponding PN ST. In addition to the globally optimal solution, the P-graph framework provides the n-best sub-optimal solutions. The validity of the proposed method is illustrated by two examples. © 2013 Elsevier Ltd. LA - English DB - MTMT ER - TY - JOUR AU - Klemeš, Jiri Jaromir AU - Varbanov, Petar AU - Wang, Q AU - Lund, H TI - PRES 2012 special section: Process integration, modelling and optimisation for energy saving and pollution reduction JF - ENERGY J2 - ENERGY VL - 55 PY - 2013 SP - 1 EP - 4 PG - 4 SN - 0360-5442 DO - 10.1016/j.energy.2013.05.022 UR - https://m2.mtmt.hu/api/publication/2370298 ID - 2370298 N1 - Centre for Process Integration and Intensification - CPI, Research Institute of Chemical and Process Engineering, Faculty of Information Technology, University of Pannonia, Egyetem u. 10, Veszprém H-8200, Hungary School of Energy and Power Engineering, MOE Key Lab of Thermo-Fluid Science and Engineering, Xi'an Jiaotong University, Xianning, West Road 28#, Xi'an, Shaanxi 710049, China Department of Development and Planning, Aalborg University, Fibigerstræde 13, 9220 Aalborg, Denmark Cited By :11 Export Date: 17 October 2023 CODEN: ENEYD Correspondence Address: Klemeš, J.J.; Centre for Process Integration and Intensification - CPI, Egyetem u. 10, Veszprém H-8200, Hungary; email: klemes@cpi.uni-pannon.hu AB - This Special Section provides introduction to the 15th Conference Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction (PRES 2012). In this editorial introduction, the editors are highlighting the individual articles included in this issue and discussing the main points. The main areas of this issue can be summarised as: Process Integration for Energy Saving, Integrating Renewable Energy Sources and Energy Optimisation issues. © 2013 Elsevier Ltd. 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 - Fan, L T AU - Lin, Y -C AU - Shafie, S AU - Bertók, Botond AU - Friedler, Ferenc TI - Exhaustive identification of feasible pathways of the reaction catalyzed by a catalyst with multiactive sites via a highly effective graph-theoretic algorithm: Application to ethylene hydrogenation JF - INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH J2 - IND ENG CHEM RES VL - 51 PY - 2012 IS - 6 SP - 2548 EP - 2552 PG - 5 SN - 0888-5885 DO - 10.1021/ie200718w UR - https://m2.mtmt.hu/api/publication/1892675 ID - 1892675 N1 - Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506-5102, United States Department of Chemical Engineering and Materials Science, Yuan Ze University, Chungli, Taoyuan, 32003, Taiwan Department of Computer Science and Systems Technology, University of Pannonia, Egyetem u.10, H-8200 Veszprém, Hungary Cited By :10 Export Date: 16 October 2023 CODEN: IECRE Correspondence Address: Fan, L.T.; Department of Chemical Engineering, , Manhattan, KS 66506-5102, United States; email: fan@ksu.edu AB - Hitherto, no attempt has been made to identify exhaustively feasible pathways for any mechanism of a given reaction catalyzed by a catalyst with multiactive sites. Two stoichiometically exact and definitely feasible mechanisms have been proposed to date for the hydrogenation of ethylene to ethane on biactive-site or triactive-site platinum catalysts. One comprises seven elementary reactions, and the other comprises eight elementary reactions; nevertheless, both mechanisms involve competitive as well as noncompetitive adsorption. Any of these mechanisms gives rise to a multitude of feasible catalytic pathways. The present work exhaustively identifies such feasible pathways by resorting to the inordinately efficient graph-theoretic algorithm based on P- graphs (process graphs). The efficacy of this algorithm has been amply demonstrated by successfully deploying it for several catalysts with single-active sites, but has never been deployed for catalysts with multiactive sites as in the current work. The availability of exhaustively identified feasible pathways for both mechanisms renders it possible to stipulate that the hydrogenation of chemisorbed chemisorbed C 2H 5 is the rate-controlling step: This step is contained in either mechanism. © 2012 American Chemical Society. 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 - 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 - Lam, H L AU - Varbanov, Petar AU - Klemeš, Jiri Jaromir TI - Minimising carbon footprint of regional biomass supply chains JF - RESOURCES CONSERVATION AND RECYCLING J2 - RESOUR CONSERV RECY VL - 54 PY - 2010 IS - 5 SP - 303 EP - 309 PG - 7 SN - 0921-3449 DO - 10.1016/j.resconrec.2009.03.009 UR - https://m2.mtmt.hu/api/publication/1674668 ID - 1674668 N1 - Cited By :159 Export Date: 16 October 2023 CODEN: RCREE Correspondence Address: Lam, H.L.; Centre for Process Integration and Intensification, CPI2, Egytem u. 10, H-8200, Veszprém, Hungary; email: lam@cpi.uni-pannon.hu AB - A new method for regional energy targeting and supply chain synthesis is presented. A demand-driven approach is applied to assess the feasible ways for transferring energy from renewable sources to customers in a given region. The studied region is partitioned into a number of clusters by using the developed Regional Energy Clustering (REC) algorithm. The REC targets aim at minimising the system carbon footprint (CFP). The biomass energy supply and management are targeted using new graphical representations. Regional Energy Surplus-Deficit Curves (RESDC) visualises the formation and the sizes of introduced energy clusters. Regional Resource Management Composite Curve (RRMCC) an analogy of the Process Integration approach shows the energy imbalances helping in trading-off resources management. These graphical tools provide straightforward information of how to manage the surplus resources (biomass and land use) in a region. © 2009 Elsevier B.V. All rights reserved. LA - English DB - MTMT ER - TY - JOUR AU - Lam, H L AU - Varbanov, Petar AU - Klemeš, Jiri Jaromir TI - Optimisation of regional energy supply chains utilising renewables: P-graph approach JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 34 PY - 2010 IS - 5 SP - 782 EP - 792 PG - 11 SN - 0098-1354 DO - 10.1016/j.compchemeng.2009.11.020 UR - https://m2.mtmt.hu/api/publication/1674664 ID - 1674664 N1 - Cited By :140 Export Date: 16 October 2023 CODEN: CCEND Correspondence Address: Klemeš, J.J.; Centre for Process Integration and Intensification - CPI2, Egyetem u. 10, H-8200 Veszprém, Hungary; email: klemes@cpi.uni-pannon.hu AB - This paper presents a new method for regional energy targeting and supply chain synthesis. The method is based on a novel approach to the optimisation of renewable energy supply. A new algorithm for revealing energy supply chain clusters is introduced, described and illustrated by a case study. It has been developed on two levels. The first is a top-level supply chain network with lowest Carbon Footprint generated. It consists of a number of zone clusters. The definition of zones is provided; it can be e.g. a village or a town. Each zone is considered as a unit. At the second level is a supply chain synthesis carried out by P-graph based optimisation within each cluster. It provides a more detailed analysis. The use of the P-graph framework as a synthesis toolset provides a strong mathematically proven fundament for handling the complexity of the synthesis problem. It contributes to the optimal network design with a high computational efficiency. This approach contributes to the cleaner generation of energy from biomass, approaching CO2 neutrality as much as possible. It is beneficial for extending the use of biomass as a renewable source of energy. © 2010. 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 - Klemeš, Jiri Jaromir AU - Lam, H L TI - Heat integration, energy efficiency, saving and security JF - ENERGY J2 - ENERGY VL - 34 PY - 2009 IS - 10 SP - 1669 EP - 1673 PG - 5 SN - 0360-5442 DO - 10.1016/j.energy.2009.08.001 UR - https://m2.mtmt.hu/api/publication/1674679 ID - 1674679 N1 - Cited By :15 Export Date: 18 October 2023 CODEN: ENEYD Correspondence Address: Klemeš, J.J.; Centre for Process Integration and Intensification - CPI2, Egyetem utca 10, Veszprém, H-8200, Hungary; email: klemes@cpi.uni-pannon.hu AB - This editorial and overview of a Special Issue dedicated to the 11th Conference Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction - PRES 2008. Thirteen papers have been selected and after being peer-reviewed. Nine were accepted for publication covering important subjects of energy generation and usage. They are focusing on recent development of various features of heat integration which is an important methodology for increasing energy efficiency and saving. The complementary issues covered are emissions reduction and the security of energy supply. This issue of ENERGY is the fourth special journal issue dedicated to selected papers from PRES conferences. © 2009 Elsevier Ltd. All rights reserved. LA - English DB - MTMT ER - TY - JOUR AU - Kelle, Peter AU - Akbulut, Asli TI - The role of ERP tools in supply chain information sharing, cooperation, and cost optimization JF - INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS J2 - INT J PROD ECON VL - 93-4 PY - 2005 SP - 41 EP - 52 PG - 12 SN - 0925-5273 DO - 10.1016/j.ijpe.2004.06.004 UR - https://m2.mtmt.hu/api/publication/31287006 ID - 31287006 LA - English DB - MTMT ER - TY - JOUR AU - Feng, G AU - Fan, L T AU - Seib, P A AU - Bertók, Botond AU - Kalotai, L AU - Friedler, Ferenc TI - Graph-theoretic method for the algorithmic synthesis of azeotropic-distillation systems JF - INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH J2 - IND ENG CHEM RES VL - 42 PY - 2003 IS - 15 SP - 3602 EP - 3611 PG - 10 SN - 0888-5885 DO - 10.1021/ie0207818 UR - https://m2.mtmt.hu/api/publication/1044822 ID - 1044822 N1 - Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506, United States Department of Grain Science/Industry, Kansas State University, Manhattan, KS 66506, United States Department of Computer Science, University of Veszprém, Egyetem u. 10, Veszprém H-8200, Hungary Cited By :33 Export Date: 16 October 2023 CODEN: IECRE Correspondence Address: Fan, L.T.; Department of Chemical Engineering, , Manhattan, KS 66506, United States; email: fan@cheme.ksu.edu 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 -