Process Industry Supply Chains: Advances and Challenges-Nilay Shah /1-17



страница5/5
Дата01.01.2018
Размер1.04 Mb.
#39147
1   2   3   4   5

Literature 2001

  • Truncated branch-and-bound, schedule-construction, and schedule-improvement procedures for resource-constrained project scheduling., Birger Franck, Klaus Neumann, and Christoph Schwindt 2001

  • Optimization Methodology with Genetic Algorithms and Analytic Hierarchy Process in Supply Chains,F.T.S. Chan*, S.H. Chung*, T.C. Wong*, H.C.W. Lau**, R.W.L. Ip***, G. Finke**** 2001

  • Component Based Software Architecture for Supply Chain Management Systems, Ryan Darby, Judith Bishop, Willem Cilliers 2001

  • Supply Chain Networks with Multicriteria Decision-Makers, June Dong and Ding Zhang, Anna Nagurney, September, 2001

  • An extended enterprise planning methodology for the discrete manufacturing industry, Florent Frederix 2001

  • Discrete Optimization Methods and their Role in the Integration of Planning and Scheduling, Ignacio E. Grossmann*, Susara A. van den Heever and Iiro Harjunkoski, March 1, 2001

  • Discrete Optimization Methods and their Role in the Integration of Planning and Scheduling Ignacio E. Grossmann*, Susara A. van den Heever and Iiro Harjunkoski, March 1, 2001

  • Discrete Optimization Methods and their Role in the Integration of Planning and Scheduling, Ignacio E. Grossmann*, Susara A. van den Heever and Iiro Harjunkoski, March 1, 2001

  • Review of Nonlinear Mixed-Integer and Disjunctive Programming Techniques, Ignacio E. Grossmann, June 2001/Rev. April 2002

  • Midterm Supply Chain Planning Under Demand Uncertainty :Customer Demand Satisfaction and Inventory Management Anshuman Gupta and Costas D. Maranas1, 2001

  • Midterm Supply Chain Planning Under Demand Uncertainty :Customer Demand Satisfaction and Inventory Management, Anshuman Gupta and Costas D. Maranas1 2001

  • INTEGRATING SUPPLY CHAIN AND NETWORK ANALYSES: THE STUDY OF NETCHAINS, Sergio G. Lazzarini1, John M. Olin School of Business, Fabio R. Chaddad, Michael L. Cook, 2001

  • SUPERVISING CONTROL SUPPORT SYSTEM OF A MULTIPURPOSE BATCH PLANT STRUCTURED BY PROCESS AND BY ACTIVITY, LOZANO, O. CHIOTTI , 2001

  • XML-based supply chain integration: a case study Juha-Miikka Nurmilaakso Department of Computer Science and Engineering, Helsinki University of Technology, Espoo, Finland Jari Kettunen VTT Industrial Systems, Technical Research Centre of Finland, Espoo, Finland Ilkka Seilonen Department of Automation and Systems Technology, Helsinki University of Technology, Espoo, Finland, 2001

  • Model Development, Solution, and Analysis in Global Optimization János D. Pintér Pintér Consulting Services, Inc. (PCS) & Dalhousie University PCS: 129 Glenforest Drive, Halifax, NS, Canada B3M 1J2 jdpinter@is.dal.ca http://is.dal.ca/~jdpinter/ To appear in: Global Optimization — Selected Case Studies (János D. Pintér, Editor) Kluwer Academic Publishers, Dordrecht / Boston / London. , 2001

  • Here’s how to incorporate uncertainty and risk analysis into the new-product development process. Gary Blau and Gavin Sinclair,Purdue Univ., 2001

  • Perea-Lopez E., B.E.Ydstie and I.E. Grossmann, 2001, Dynamic modelling and decentralised control of supply chains,Ind. Eng. Chem. Res., 40, 3369-3383. (1)

  • Maravelias, T.C., Grossmann, I.E. (2001). Simultaneous Planning for New Product Development and Batch Manufacturing Facilities.Submitted for publication at Ind. Eng. Chem. Res. (2)

  • Papageorgiou, L.G., Rotstein, G.E., Shah, N. (2001). Strategic Supply Chain Optimization for thePharmaceutical Industries. Ind. Eng. Chem. Res., 40, 275. (2)

  • Gatica, G., N. Shah and L.G. Papageorgiou (2001). Capacity planning under clinical trials uncertainty for the pharmaceutical industries. Proc. ESCAPE-11, Kondig, Denmark, 865-870. (4)

  • Gjerdrum J., N. Shah and L.G. Papageorgiou (2001). New Product Introduction Supply Chain Planning. In Olli-Pekka Hilmola (editor): Contemporary Research Issues in New Product Introduction. Acta Wasaensia, 77, 25-49. (4)

  • Maravelias, C.T. and I.E. Grossmann (2001). Simultaneous planning for new product development and batch manufacturing facilities. Ind. Eng. Chem. Res., 40, 6147-6164. (4)

  • Papageorgiou, G.E. Rotstein and N. Shah (2001).Strategic supply chain optimization for the pharmaceutical industries. Ind. Eng. Chem. Res., 40, 275-286. (4)

  • Subramanian, D., J.F. Pekny and G.V. Reklaitis (2001). A simulation-optimization framework for Research and Development Pipeline management. AIChE J., 47, 2226-2242. (4)

  • Gjerdrum, J., Shah, N. & Papageorgiou, L. G. (2001). Transfer prices for multienterprise supply chain optimisation.Ind. Eng. Chem. Res., 40, 1650-1660.

  • Perea-L¶opez, E., Grossmann, I. E., Ydstie, B. E., & Tahmmasebi, T. (2001). Dynamic modeling and decentralized control of supply chains.Ind. Eng. Chem. Res., 40, 3369-3383.

  • Sakawa, M., Nishizaki, I., & Uemura, Y. (2001). Fuzzy programming and pro¯t and cost allocation for a production and transportation problem.38 European Journal of Operational Research, 131, 1-15.

  • Tsiakis, P., Shah, N., & Pantelides C. C. (2001). Design of multi-echelon supply chain networks under demand uncertainty.Ind. Eng. Chem. Res., 40, 3585-3604.

  • Lee, Y. G.; Malone, M. F. A General Treatment of Uncertainties in Batch Process Planning.Ind. Eng. Chem. Res. 2001, 40, 1507-1515.

  • Vin, J. P.; Ierapetritou, M. G. Robust Short-Term Scheduling of Multiproduct Batch Plants under Demand Uncertainty.Ind. Eng. Chem. Res. 2001, 40, 4543-4554.

  • Me´ndez, C. A.; Henning, G. P.; Cerda´ , J. An MILP Continuous-Time Approach to Short-Term Scheduling of Resource- Constrained Multistage Flowshop Batch Facilities.Comput. Chem. Eng. 2001, 25, 701-711.

  • Suh, M.; Lee, T. Robust Optimization Method for the Economic Term in Chemical Process Design and Planning. Ind. Eng. Chem. Res. 2001, 40, 5950-5959.

  • A combined optimization and agent-based approach to supply chain modeling and performance assessment.-Nilay Shah, Production Planning & Control, 2001,Vol 12,No 1, 81-88

    Literature 2002

  • Summary of the executive session on emergency preparedness and the pharmaceutical supply chain Am J Health-Syst Pharm. 59:247-53 2002

  • Management of financial and consumer satisfaction risks in supply chain design G. Guillén(++), F. D. Mele(++), M. Bagajewicz(+), A. Espuña(++), and L. Puigjaner(++)(#) 2002

  • An integrated system solution for supply chain optimization in the chemical process industry,Guido Berning, Marcus Brandenburg, Korhan G¨ ursoy, Vipul Mehta, and Franz-Josef T¨olle 2002

  • An integrated system solution for supply chain optimization in the chemical process industry, Guido Berning, Marcus Brandenburg, Korhan G¨ ursoy, Vipul Mehta,and Franz-Josef T¨olle 2002

  • A systematic approach for multi-objective process design in multi-purpose batch plants, A dissertation submitted to the Swiss Federal Institute of Technology Zurich (ETHZ) For the degree of Doctor of Technical Sciences 2002

  • Solving planning and scheduling problems with combined integer and constraint programming, Christian Timpe 2002

  • Coordinating supply chain decisions: an optimization model, Christoph Haehling von Lanzenauer and Karsten Pilz-Glombik 2002

  • Logic Inference and a Decomposition Algorithm for the Resource-Constrained Scheduling of Testing Tasks in Development of New Pharmaceuticals and Agrochemicals, Christos T. Maravelias, Ignacio E. Grossmann ,March 2002

  • Makespan estimation and order acceptance in batch process industries when processing times are uncertain, Cristina V. Ivanescu, Jan C. Fransoo, and J. Will M. Bertrand 2002

  • A multi-agent system for chemical supply chain simulation and management support, Rodolfo Garc´ýa-Flores and Xue Zhong Wang 2002

  • A multi-agent system for chemical supply chain simulation and management support, Rodolfo Garc´ýa-Flores and Xue Zhong Wang 2002

  • SCHEDULING OF MULTIPURPOSE BATCH PROCESSES WITH MULTIPLE BATCHES OF THE PRODUCTS, T. HOLCZINGER, J. ROMERO1, L. PUIGJANER1 and F. FRIEDLER 2002

  • Combinatorial Framework for Effective Scheduling of Multipurpose Batch Plants, E. Sanmartý and L. Puigjaner ´2002

  • SCHEDULING OF MULTIPURPOSE BATCH PROCESSES WITH MULTIPLE BATCHES OF THE PRODUCTS, T. HOLCZINGER, J. ROMERO1, L. PUIGJANER1 and F. FRIEDLER 2002

  • A clone-based graphical modeler and mathematical model generator for optimal production planning in process industries ,Murat Draman *, _I Kuban Altinel, Nijaz Bajgoric, Ali Tamer €Unal, Burak Birg€oren 2002

  • A NEW MILP VARIABLE RESOURCE CONSTRAINED SCHEDULING MODEL FOR THE TESTING OF PHARMACEUTICALS AND AGROCHEMICALS, C. T. Maravelias, I. E. Grossmann 2002

  • SIMULTANEOUS PLANNING FOR NEW PRODUCT DEVELOPMENT AND DESIGN OF MANUFACTURING FACILITIES, Christos T. Maravelias and Ignacio E. Grossmann 2002

  • An integrated system solution for supply chain optimization in the chemical process industry, Guido Berning, Marcus Brandenburg, Korhan G¨ ursoy, Vipul Mehta,and Franz-Josef T¨ 2002

  • ALTERNATIVE SUPPLY-CHAIN CONFIGURATIONS FOR ENGINEERED OR CATALOGUED MADE-TOORDER COMPONENTS:CASE STUDY ON PIPE UPPORTS USED IN POWER PLANTS, Roberto J. Arbulu1 and Iris D. Tommelein2 2002

  • AN APPROACH TO INVESTIGATE THE IMPACTS OF SHARING PRODUCTION INFORMATION ON SUPPLY CHAIN DYNAMICS FROM THE PERSPECTIVE OF SUPPLY CHAIN SCHEDULING, Jason S. K. Lau, George Q. Huang, K. L. Mak 2002

  • Mixed-Integer Linear Programming Model for Gasoline Blending nd Distribution Scheduling, Zhenya Jia and Marianthi Ierapetritou* 2003

  • SUPPLY CHAIN MULTI-OBJECTIVE SIMULATION OPTIMIZATION, Jeffrey A. Joines, Deepak Gupta, ahmut Ali Gokce, Russell E. King, Michael G. Kay 2002

  • PLANNING AND SCHEDULING FOR PETROLEUM REFINERIES USING MATHEMATICAL PROGRAMMING, M.Joly1, L.F.L.Moro1,2 and J.M.Pinto1* 2002

  • Combined strategic and operational planning – n MILP success story in chemical industry, Josef Kallrath1,2 , 2002

  • Planning and scheduling in the process industry, Josef Kallrath1,2, 2002

  • On scalarizing functions in multiobjective optimization, Kaisa Miettinen and Marko M. M¨, 2002

  • Planning and scheduling in the process industry, Josef Kallrath1,2, 2002

  • Combined strategic and operational planning –an MILP success story in chemical industry, Josef Kallrath1,2, 2002

  • Advanced production scheduling for batch plants in process industries, Klaus Neumann, Christoph Schwindt, and Norbert Trautmann, 2002

  • Emerging Technologies for Enterprise Optimization in the Process Industries, Rudolf Kulhav´y1,Joseph Lu2,Tariq Samad3, 2002

  • Web-based simulation portal for investigating impacts of sharing production information on supply chain dynamics from the perspective of inventory allocation, Jason S.K. Lau, George Q. Huang,K.L. Mak, 2002

  • Automated Nonlinear Model Predictive Control using Genetic Programming, Benjamin Grosman and Daniel R. Lewin†, 2002

  • Real Options Based Analysis of Optimal Pharmaceutical Research and Development Portfolios, Michael J. Rogers, Anshuman Gupta, and Costas D. Maranas*, 2002

  • Model Based Manufacturing Consolidated Review of Research and Applications 8. Planning and Scheduling in the Process Industry, Mario Stobbe, Thomas Löhl, Christian Schulz and Sebastian Engell Process Control Laboratory, University of Dortmund, 2002

  • Campaign planning for multi-stage batch processes in the chemical industry Martin Grunow, Hans-Otto G¨unther, and Matthias Lehmann Deptartment of Production Management, Technical University Berlin,Wilmersdorfer Straße 148, 10585 Berlin, Germany (e-mail: {m.grunow, ho.guenther, m.lehmann}@pm-berlin.net), 2002

  • Experiences from the Development of an XML/XSLT-based Integration Server for a Virtual Enterprise Type Co-Operation, Ilkka Seilonen, Juha-Miikka Nurmilaakso, Stefan Jakobsson, Jari Kettunen, Kalle Kuhakoski TT Automation, P.O.Box 1301, FIN-02044 VTT, Finland, {ilkka.seilonen, juha.nurmilaakso, stefan.jakobsson, jari.kettunen, kalle.kuhakoski}@vtt.fi, 2002

  • Seamless Production Planning and Communication in Distributed Manufacturing: Case ABB Switchgear Production ,Juha-Miikka NURMILAAKSO1, Jari KETTUNEN1, Juha-Matti LEHTONEN2, Juha SARANEN2, Ilkka SEILONEN1 1VTT Automation, PO Box 1301, FIN-02044 VTT, Finland Tel: +358 9 4561; Fax: +358 9 456 6752; Email: {juha.nurmilaakso, jari.kettunen, ilkka.seilonen}@vtt.fi 2Delfoi Oy, Tietäjäntie 14, FIN-02044 Espoo, Finland Tel: +358 9 4300 70; Fax: +358 9 4300 7277; Email: {juha-matti.lehtonen, juha.saranen}@delfoi.com, 2002

  • SCM is about integration, Ilkka Seilonen, Juha Nurmilaakso, Jari Kettunen, Stefan Jakobsson, Petri Kalliokoski, Markku Mikkola and Veli-Pekka Mattila , 2002

  • A Call for Cost and Reference Models for Construction Supply Chains IGLC-11 White Paper: Supply Chain Management Thrust Area Champion: William O’Brien, University of Florida, wjob@ufl.edu December 2002

  • CONSTRUCTION SUPPLY CHAIN MODELING: A RESEARCH REVIEW AND INTERDISCIPLINARY RESEARCH AGENDA William J. O’Brien,1 Kerry London2 and Ruben Vrijhoef3, 2002

  • Robust solutions for supply chain management: Simulation and risk analysis of the Ericsson case study, Jack P.C. Kleijnen 1 and Fredrik Persson 21 Department of Information Management/Center for Economic Research (CentER),Tilburg University (UvT), Postbox 90153, 5000 LE Tilburg, the NetherlandsPhone: +31-13-4662029; fax: +31-13-4663377; e-mail: kleijnen@UvT.nl;http://center.kub.nl/staff/kleijnen/ 2 Department of Production Economics, Linköpings Universitet, S-581 83 Linköping,Sweden Phone: +46 (0)13 28 17 71; fax: +46 (0)13 28 89 75; e-mail: fredrik.persson@ipe.liu.se; http://www.ipe.liu.se/fp/fp.html Position Paper HR-178, sponsored by ‘Chain networks, Clusters & ICT’ (‘KLICT/ICES’), 2002

  • FORMULATING A FRAMEWORK FOR RELATIONALLY INTEGRATED CONSTRUCTION SUPPLY CHAINS EKAMBARAM PALANEESWARAN_, MOHAN KUMARASWAMY and S. THOMAS NG Department of Civil Engineering, The University of Hong Kong, Hong Kong_epal@hkucc.hku.hk Revised August 2002

  • AN APPROXIMATION SCHEME FOR STOCHASTIC INTEGER PROGRAMS ARISING IN CAPACITY EXPANSION SHABBIR AHMEDSchool of Industrial and Systems Engineering, Georgia Institute of Technology, 765 Ferst Drive, Atlanta, Georgia 30332, sahmed@isye.gatech.edu NIKOLAOS V. SAHINIDIS Department of Chemical and Biomolecular Engineering, University of Illinois, 600 South Mathews Avenue, Urbana, Illinois 61801, nikos@uiuc.edu, 2002

  • Scheduling Optimization under Uncertainty - An Alternative ApproachJ. Balasubramanian_ and I. E. Grossmann_ Department of Chemical Engineering, Carnegie Mellon University Pittsburgh, PA 15213, USA March 2002

  • Agent-based supply chain management*/2: a refinery application Nirupam Julka 1, I. Karimi, Rajagopalan Srinivasan *Department of Chemical and Environmental Engineering, The National University of Singapore, 4 Engineering Drive 4, 10 Kent Ridge Crescent,Singapore 117576, SingaporeAccepted 12 July 2002

  • Agent-based supply chain management*/1: framework Nirupam Julka 1, Rajagopalan Srinivasan *, I. Karimi Department of Chemical and Environmental Engineering, National University of Singapore, 4 Engineering Drive, Singapore 117576, accepted 12 July 2002

  • Supplay Chain Planing and management White Paper, 2002

  • CASE STUDY IN APPLICATION OF PROJECT SCHEDULING SYSTEM FOR CONSTRUCTION SUPPLY CHAIN MANAGEMENT Kalyan Vaidyanathan1, 2002

  • EXPLORING THE CONNECTION BETWEEN OPEN BUILDING AND LEAN CONSTRUCTION: DEFINING A POSTPONEMENT STRATEGY FOR SUPPLY CHAIN MANAGEMENT RubenVrijhoef1, Ype Cuperus2 and Hans Voordijk3 , 2002

  • A multi-agent system for chemical supply chain simulation and management support Rodolfo Garc´ýa-Flores and Xue Zhong Wang Department of Chemical Engineering, The University of Leeds, Leeds LS2 9JT, UK(e-mail: x.z.wang@leeds.ac.uk), 2002

  • Manufacturing supply chain design and evaluation GeWang · Samuel H. Huang · John P. Dismukes Received: 17 July 2002 / Accepted: 6 May 2003 / Published online: 16 March 2004

  • Combined Modeling with Multi-Agent Systems and Simulation: Its Application to Harbor Supply Chain Management Dong Won Yi Strategic Management Div., LG-EDS Systems, Seoul, Korea dwyi@lgeds.lg.co.kr Soung Hie Kim Graduate School of Management, KAIST, Seoul, Korea seekim@kaist.ac.kr Nak Hyun Kim Strategic Management Div., LG-EDS Systems, Seoul, Korea nakhkim@lgeds.lg.co.kr, 2002

  • Berning, G., M. Brandenburg, K. Gursoy, V. Mehta and F,-J. Tölle, 2002, An integrated system for supply chain optimisation in the chemical process industry,OR Spectrum, 24, 371-401. (1)

  • García-Flores, R. and X.Z. Wang, 2002, A multi-agent system for chemical supply chain simulation and management support,OR Spectrum, 24, 343-370. (1)

  • Julka, N., R. Srinivasan and I. Karimi, 2002a, Agent-bases supply chain management-1: framework, Computers chem.Engng., 26, 1755-1769. (1)

  • Julka, N., R. Srinivasan and I. Karimi, 2002b, Agent-bases supply chain management-1: a refinery application,Computers chem. Engng., 26, 1771-1781. (1)

  • Kallrath J., 2002a, Combined strategic and operational planning – an MILP success story in chemical industry,OR Spectrum, 24, 315-341. (1)

  • Kallrath J., 2002b, Planning and scheduling in the process industry, OR Spectrum, 24, 219-250.

  • Neumann, K., C. Schwindt and N. Trautmann, 2002, Advanced production scheduling for batch plants in process industries,OR Spectrum, 24, 251-279. (1)

  • Anon (2002). Summary of the executive session on emergency preparedness and the pharmaceutical supply chain. Am. J. Health-System Pharmacy, 59 (3), 247-253.

  • Butler, R. (2002). The end of the blockbuster? Chemistry & Industry, 9, 9-10. (4)

  • Gatica, G., L.G. Papageorgiou and N. Shah (2002a). Capacity planning under uncertainty for the pharmaceutical industry. Submitted to Trans. IChemE. Part A. (4)

  • Rodera, H., Bagajewicz, M. J., & Trafalis, T. B. (2002). Mixed-integer multiobjective process planning under uncertainty. Ind. Eng. Chem. Res., 41, 4075-4084.

  • Engell, S.; Markert, A.; Sand, G.; Schultz, R. Scheduling of a Multiproduct Batch Plant by Two-Stage Stochastic Integer Programming;Technical Report 59, Preprint 520; Institut fur Mathematik, Gerhard-Mercator-Universitat, Duisburg, Germany, 2002.

  • Harjunkoski, I.; Grossmann, I. E. Decomposition Techniques for Multistage Scheduling Problems Using Mixed-Integer and Constraint Programming Methods.Comput. Chem. Eng. 2002, 1533-1552.

    Literature 2003

  • Integrating Budgeting Models into Scheduling and Planning Modelsfor the Chemical Batch Industry J. Romero,†,‡ M. Badell,†,‡ M. Bagajewicz,§ and L. Puigjaner*,† 2003

  • Supply Chain Design and Analysis: Models and Methods,Benita M. Beamon 2003

  • An Integrated Integrated System System Solution Solution for Supply for Supply Chain Chain Optimization Optimization in in the the Chemical Chemical Process Process Industry Industry, Franz- J. Tölle, Guido Berning, Marcus Brandenburg, Korhan Gürsoy, Jürgen-S. Kussi, and Vipul Mehta 2003

  • Aggregation Strategies to Minimize Inventory Cost under Uncertain Demand,Revised from Master Thesis by Yee-Chiu Cheng 2003

  • A SIMULATION TEST BED FOR PRODUCTON AND SUPPLY CHAIN MODELING,S. T. Enns, Pattita Suwanruji 2003

  • Multi-objective process design in multi-purpose batch plants using a Tabu Search optimization algorithm, L. Cavin a, U. Fischer a,., F. Gloverb, K. Hungerbühler a 2003

  • Sustainable Coordination, Martin Fredriksson, Rune Gustavsson, and Alessandro Ricci 2003

  • Incorporating heat integration in batch process scheduling, R. Adonyi a, J. Romero b, L. Puigjaner b, F. Friedler a,* 2003

  • Super-structure Generation for Separation Network Synthesis Involving Different Separation Methods, Heckl1, Z. Kovács1,2, F. Friedler1,3, and L. T. Fan3 2003

  • Software Tool for Formulating and Solving Various Process-Synthesis Problems , N. Sarkozi1, B. Bertok1, F. Friedler1, and L. T. Fan2 2003

  • A New Framework for Batch Process Optimization Using the Flexible Recipe, Javier Romero,† Antonio Espun˜ a,† Ferenc Friedler,‡ and Luis Puigjaner*,† 2003

  • Incorporating heat integration in batch process scheduling, R. Adonyi a, J. Romero b, L. Puigjaner b, F. Friedler a,* 2003

  • SIMULATION BASED DECISION SUPPORT FOR SUPPLY CHAIN LOGISTICS, Subhashini Ganapathy, S. Narayanan 2003

  • Production planning of a multi-sitemanufacturing system by hybrid modelling: A case study from the automotive industry, M.G. Gnonia,*, R. Iavagnilioa, G. Mossaa, G. Mummoloa, A. Di Levab 2003

  • Production planning of a multi-sitemanufacturing system by hybrid modelling: A case study from the automotive industry, M.G. Gnonia,*, R. Iavagnilioa, G. Mossaa, G. Mummoloa, A. Di Levab 2003

  • A DISCUSSION OF PRODUCTION PLANNING APPROACHES IN THE PROCESS INDUSTRY, Y. CRAMA1, Y. POCHET2 and Y. WERA3

  • Challenges in the New Millennium: Product Discovery and Design, Enterprise and Supply Chain Optimization, Global Life Cycle Assessment , Ignacio E. Grossmann 2003

  • AGENT-BASED MODELING OF SUPPLY CHAINS FOR DISTRIBUTED SCHEDULING, Jason LAU, George Q Huang (Corresponding Author) and K L Mak 2003

  • ORDER-DELIVERY PROCESS IN MANUFACTURING NETWORK DEPLOYING ANUFACTURING PHILOSOPHIES IN STEEL PRODUCT INDUSTRY, Päivi Iskanius1 and Harri Haapasalo2 2003

  • Multi-stage Manufacturing System – Research Issues and Challenges, Tsetimi Jonathan (Lead Author) 2003

  • Refinery Short-Term Scheduling Using Continuous Time ormulation: Crude-Oil Operations, Zhenya Jia and Marianthi Ierapetritou*,Jeffrey D. Kelly†, 2003

  • An extended graph-based virtual clustering-enhanced approach to supply chain optimisation, L. P. Khoo Æ X. F. Yin, 2003

  • IMPACTS OF SHARING PRODUCTION INFORMATION ON SUPPLY CHAIN DYNAMICS: A MULTI-AGENT SIMULATION STUDY, Jason S. K. Lau, George Q. Huang and K. L. Mak, 2003

  • The impacts of sharing production information on supply chaindynamics: a review of the literature, GEORGE Q. HUANG{*, JASON S. K. LAU{ and K. L. MAK, 2003

  • IMPACTS OF SHARING PRODUCTION INFORMATION ON SUPPLY CHAIN DYNAMICS: A MULTI-AGENT SIMULATION STUDY, Jason S. K. Lau, George Q. Huang and K. L. Mak, 2003

  • A systematic approach for multi-objective process design in multi-purpose batch plants,A dissertation submitted to the Swiss Federal Institute of Technology Zurich (ETHZ) For the degree of Doctor of Technical Sciences Presented by Laurent Cavin Ing. Chim. Dipl. EPF, Swiss Federal Institute of Technology Lausanne born 03.04.1973 citizen of Vulliens (VD), 2003

  • Identifying the optimal design of a single chemical process to be implemented in an existing multipurpose batch plant by the use ofTabu Search, Laurent Cavin, Ulrich Fischer, and Konrad Hungerbühler, 2003

  • Multi-objective process design in multi-purpose batch plants using a Tabu Search optimization algorithm,L. Cavin a, U. Fischer a,., F. Gloverb, K. Hungerbühler , 2004

  • Identifying the optimal process design for a chemical process to be implemented in an existing multipurpose batch plant, Laurent Cavin, Andrej Mošat’, Ulrich Fischerand Konrad Hungerbühler, 2003

  • Multi-objective process design in multi-purpose batch plants using a Tabu Search optimization algorithm, L. Cavin a, U. Fischer a,., F. Gloverb, K. Hungerbühler, 2003

  • Design and retrofit of multiobjective batch plants via a multicriteria genetic algorithm ,Samuel Dedieu, Luc Pibouleau *, Catherine Azzaro-Pantel, Serge Domenech Laboratoire de Ge´nie Chimique-UMR CNRS 5503, Maitre de Conferences ENSIACET INPTabor, ENSIACET INPT, 118, Route de Narbonne, 31077 Toulouse Cedex 04, France, 2003

  • Multi-company collaborative supply chain management with economical and environmental considerations, Metin Türkay a,., Cihan Oruç a, Kaoru Fujita b, Tatsuyuki Asakura b a College of Engineering, Koç University, Rumelifeneri Yolu, Sariyer, Istanbul 34450, Turkey b Business Process Optimization Lab, MCC-Group Science & Technology Research Center, Mitsubishi Chemical Corporation, 3-10 Ushiodori, Kurashiki, Okayama 712-8054, Japan, 2003

  • SIMULATION BASED DECISION SUPPORT FOR SUPPLY CHAIN LOGISTICS, Subhashini Ganapathy S. Narayanan Department of Biomedical, Industrial and Human Factors Engineering Wright State University 207 Russ Engineering Center Dayton, OH 45324, U.S.A. Krishnamurthy Srinivasan System Software Lab Intel Corporation Chandler, AZ 85226, U.S.A., 2003

  • Supply chain scheduling using distributed parallel simulation ,Juha-Miikka Nurmilaakso, Department of Computer Science and Engineering, Helsinki University of Technology, Finland , 2003

  • A review of XML-based supply chain integration Juha-Miikka Nurmilaakso, Software Business and Engineering Institute, Helsinki University of Technology, Espoo, Finland Paavo Kotinurmi, Software Business and Engineering Institute, Helsinki University of Technology, Espoo, Finland , 2003

  • XML-based Supply Chain Integration: A Review and a Case Study HELSINKI UNIVERSITY OF TECHNOLOGY Department of Computer Science and Engineering Juha-Miikka Nurmilaakso , 2003

  • Integration of R&D, Manufacturing, and the Global Supply Chain, FOCAPO 2003

  • A general modeling framework for the operational planning of petroleum supply chainsSérgio M.S. Neiro a,1, José M. Pinto a,b,.,2a Department of Chemical Engineering, University of São Paulo, 05508-900 São Paulo, SP, Brazil b Department of Chemical Engineering and Chemistry, Polytechnic University, Brooklyn, NY 11201, USA, 2003



    1. Challenges in the New Millennium: Product Discovery and Design, Enterprise and Supply Chain Optimization, Global Life Cycle Assessment Ignacio E. Grossmann Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, U.S.A. , 2003

    2. Challenges in the New Millennium: Product Discovery and Design, Enterprise and Supply Chain Optimization, Global Life Cycle Assessment Ignacio E. Grossmann Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, U.S.A. , 2003

    3. RISK MANAGEMENT IN REAL OPTIONS BASED PHARMACEUTICAL PORTFOLIO PLANNING Michael J. Rogers, Anshuman Gupta, and Costas D. Maranas* Department of Chemical Engineering, The Pennsylvania State University University Park, PA 16802, 2003

    4. Real Options Based Analysis of Optimal Pharmaceutical Research and Development Portfolios Michael J. Rogers, Anshuman Gupta, and Costas D. Maranas*Department of Chemical Engineering, The Pennsylvania State University,University Park, Pennsylvania 16802, 2003

    5. Optimization under uncertainty: state-of-the-art and opportunities Nikolaos V. Sahinidis. Department of Chemical and Biomolecular Engineering, University of Illinois, 600 South Mathews Avenue, Urbana, IL 61801, USA, 2003

    6. Supply Chain/Network Management: Basis of a Conceptual Framework, P. Samaranayake School of Management University of Western Sydney Locked Bag 1797, PENRITH SOUTH DC NSW 1797, Australia, 2003

    7. Modelling and Solving Real-Time Scheduling Problems by Stochastic Integer Programming G. Sand, S. Engell _ Process Control Laboratory, University Dortmund, 44221 Dortmund, Germany, 2003

    8. A stochastic programming approach for supply chain network design under uncertainty Tjendera Santoso, Shabbir Ahmed_, Marc Goetschalckx, Alexander Shapiro School of Industrial & Systems Engineering, Georgia Institute of Technology, 765 Ferst Drive, Atlanta, GA 30332. June 16, 2003

    9. HALLENGES OF STRATEGIC SUPPLY CHAIN PLANNING AND MODELING Jeremy F. Shapiro Slim Technologies 226 Commonwealth Avenue Boston, MA 02116 jshapiro@slimcorp.com , 2003

    10. Challenges of Strategic Supply Chain Planning and Modeling Jeremy Shapiro FOCAPO 2003 January 13 2003

    11. Hybridizing Discrete- and Continuous-Time Models for Batch Sizing and Scheduling Problems¤ Siqun Wangy Monique Guignardz Modi…ed July 20, 2003

    12. A new continuous-time formulation for scheduling crude oil operations P. Chandra Prakash Reddy, I.A. Karimi., R. Srinivasan Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117576, Singapore Received 21 May 2003; received in revised form 6 November 2003; accepted 28 January 2004

    13. UNLOCK SUPPLY CHAIN IMPROVEMENTS THROUGH EFFECTIVE LOGISTICSA. Karimi,Rajagopalan Srinivasan and Por Leng Han, National University of Singapore, 2003

    14. Multi-company collaborative supply chain management with economical and environmental considerations Metin Türkay a,., Cihan Oruç a, Kaoru Fujita b, Tatsuyuki Asakura b a College of Engineering, Koç University, Rumelifeneri Yolu, Sariyer, Istanbul 34450, Turkey b Business Process Optimization Lab, MCC-Group Science & Technology Research Center, Mitsubishi Chemical Corporation, 3-10 Ushiodori, Kurashiki, Okayama 712-8054, Japan, 2003

    15. Ahmed, S. and N.V. Sahinidis, 2003, An approximation scheme for stochastic integer programs arising in capacity expansion, Ops. Res., 51, 461-47. (1)

    16. Gnoni, M.G., R. Iavagnilio, G. Mossa, G. Mummolo and A. Di Leva, 2003, Production planning of a multi-site manufacturing system by hybrid modelling:A case study from the automotive industry,International Journal of Production Economics, 85, 251-262. (1)

    17. Hung, W.Y., N. Samsatli and N. Shah, 2003a, Object-oriented dynamic supply chain modelling incorporated with production scheduling,Proc. International Conference on IndustrialEngineering and Production Management (IEPM 03), Porto, Portugal, 304-313. (1)

    18. Hung W.Y., S. Kucherenko, N. Samsatli and N. Shah, 2003b, An efficient sampling technique for stochastic supply chain simulations,Proc. 2003 Summer Computer SimulationConference (SCSC 2003), July 2003, Montreal, , Simulation Series 35(3), 101-106. (1)

    19. Jackson, J.R. and I.E. Grossmann, 2003, Temporal decomposition scheme for nonlinear multisite production planning and distribution models,Ind. Eng. Chem. Res., 42, 3045-3055. (1)

    20. Kegler, G. P. C. Jones, R. D. Traub and T. J. Lowe, 2003, Managing the seed-corn supply chain at Syngenta,Interfaces, 33:1, 80-90. (1)

    21. Neiro, S.M.S. and J.M. Pinto, 2003, Supply chain optimisation of petroleum refinery complexes,Proc.4thIntl. Conf. on Foundations of Computer-Aided Process Operations, 59-72. (1)

    22. Perea-Lopez E., B.E.Ydstie and I.E. Grossmann, 2003, A model predictive control strategy for supply chain optimisation,Computers and Chemical Engineering, 27, 1201-1218. (1)

    23. Gatica, G., L.G. Papageorgiou and N. Shah (2002b). An aggregation approach for capacity planning under uncertainty for the pharmaceutical industry. Submitted to FOCAPO-2003. (4)

    24. Barbaro, A., & Bagajewicz, M. J. (2002). Managing financial risk in planning under uncertainty.Submitted to AIChE Journal 2003.

    25. Chen, C. L., Wang, B. W., & Lee, W. C. (2003). Multi-objective optimiza- tion for a multi-enterprise supply chain network.Ind. Eng. Chem. Res., 42, 1879-1889.

    26. Gupta, A., & Maranas, C. D. (2003). Managing demand uncertainty in supply chain planning.Comp. & Chem. Eng., 27, 1219-1227.

    27. Perea-L¶opez, E., Ydstie, B. E., & Grossmann, I. E. (2003). A model pre- dictive control strategy for supply chain optimization. Comp. & Chem. Eng., 27, 1201-1218.

    28. Balasubramanian, J.; Grossmann, I. E. Scheduling Optimization under UncertaintysAn Alternative Approach.Comput. Chem. Eng. 2003, 469-490.

    29. Barbaro, A.; Bagajewicz, M. J. Managing Financial Risk in Planning Under Uncertainty.AIChE J. 2003, manuscript submitted.

    30. Barbaro, A.; Bagajewicz, M. J. Effect of Inventory and Contract Options to Hedge FinancialRisk in Planning under Uncertainty.AIChE J. 2003, manuscript submitted.

    31. Gupta, A.; Maranas, C. D. Market-Based Pollution Abatement Strategies: Risk Management using Emission Option Contracts.Ind. Eng. Chem. Res. 2003, 42, 802-810.

      Literature 2004

    32. Risk Management in the Scheduling of Batch Plants underUncertain Market Demand Anna Bonfill,† Miguel Bagajewicz,‡ Antonio Espun˜ a,† and Luis Puigjaner*,† 2004

    33. Integration of Process Systems Engineering and Business Decision Making Tools: Financial Risk Management and Other Emerging Procedures, Miguel J. Bagajewicz 2004

    34. Financial Risk Management in Offshore Oil Infrastructure Planning and Scheduling, Ahmed Aseeri, Patrick Gorman, and Miguel J. Bagajewicz*, 2004

    35. Optimizing the Supply Chain of a Petrochemical Company under

    36. Uncertain Operating and Economic Conditions, Haitham M. S. Lababidi,*,† Mohamed A. Ahmed,‡ Imad M. Alatiqi,† and Adel F. Al-Enzi§, 2004

    37. Impact of information sharing on inventory replenishment in divergent supply chains, JASON S. K. LAUy, GEORGE Q. HUANGy* and K. L. MAKy, 2004

    38. PHARMACEUTICAL SUPPLY CHAINS: KEY ISSUES AND STRATEGIES FOR OPTIMISATION Nilay Shah Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College of Science, Technology and Medicine London SW7 2BY, UK , 2004

    39. Process Industry Supply Chains: Advances and Challenges, Nilay Shah Centre for Process Systems Engineering Department of Chemical Engineering Imperial College London London SW7 2AZ, UK, 2004

    40. Pharmaceutical supply chains: key issues and strategies foroptimisation NilayShah Centre for Process Systems Engineering Imperial College London, 2004

    41. STANDARDIZATION OF XML-BASED E-BUSINESS FRAMEWORKS Paavo Kotinurmi Helsinki University of Technology PO Box 9210, FIN-02015 HUT 358 9 451 6224 fax: 358 9 451 4958 Paavo.Kotinurmi@hut.fi Juha-Miikka Nurmilaakso Helsinki University of Technology PO Box 9210, FIN-02015 HUT 358 9 451 5066 fax: 358 9 451 4958 Juha.Nurmilaakso@hut.fi Hannu Laesvuori Helsinki University of Technology PO Box 9210, FIN-02015 HUT 358 9 451 6270 358 9 451 4958 Hannu.Laesvuori@hut.fi , 2004

    42. Study on multi-agent-based agile supply chain management Ping Lou Æ Zu-de Zhou Æ You-Ping Chen Æ Wu Ai , 2004

    43. Process Industry Supply Chains: Advances and Challenges Nilay Shah, may 2004

    44. Challenges in the New Millennium: Product Discovery and Design, Enterprise and Supply Chain Optimization, Global Life Cycle Assessment Ignacio E. Grossmann Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, U.S.A. , 2004

    45. Publication I.Grossman A Simulation Study of Dynamic Order-up-to Policies in a Supply Chainwith Non-tationary Customer Demand and Information Sharing A.M. Reddy · C. Rajendran, 2004

    46. Multiobjective supply chain design under uncertainty G. Guill en a, F. D. Mele a, M. J. Bagajewicz b, A. Espu~na a, L. Puigjaner a;¤, aUniversitat Politµecnica de Catalunya, Chemical Engineering Department,Diagonal 647, E-08028, Barcelona, Spain bOklahoma University, 100 E. Boyd St., T-335 Norman, OK73019, USA, 2004

    47. Supply Chain Dynamics: Impact of Network Structures and Cooperative/Competitive Games YONG ZHANG1 AND DAVID DILTS1,2 1 Management of Technology Program Box 1518, Sta. BVanderbilt UniversityNashville, TN, 37235, USAy.zhang@vanderbilt.edu2 Owen Graduate School of ManagementVanderbilt UniversityNashville, TN, 37203, USAdavid.dilts@vanderbilt.edu, 2004




    Литературен обзор 2004- Кирил Минчев



    Каталог: WWW Systems engineerig laboratory -> CV People systmeng -> CV Boyan Ivanov -> Publications ECAM
    WWW Systems engineerig laboratory -> На работа в науката и администрацията
    WWW Systems engineerig laboratory -> Оптимални разписания при многопродуктови периодични химични системи
    WWW Systems engineerig laboratory -> Проф. Д-р асен златаров
    WWW Systems engineerig laboratory -> 1. Кои са решаващите фактори за формиране на черноморската флора и фауна?
    WWW Systems engineerig laboratory -> Здраве и безопасност в пристанищни райони
    CV People systmeng -> Process Industry Supply Chains: Advances and Challenges-Nilay Shah /1-17
    WWW Systems engineerig laboratory -> Цонка Консулова
    WWW Systems engineerig laboratory -> Планиране в екологията и реновация на пристанищата в България
    Publications ECAM -> Algorithm for Setting Arbitrarily Structured Chemical Industrial Production in a Universal Chemical Industrial System


    Сподели с приятели:
  • 1   2   3   4   5




    ©obuch.info 2024
    отнасят до администрацията

        Начална страница