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Integrated Supply Chain Planning in Chemical Industry : Potentials of Simulation in Network Planning

By: Kirschstein, Thomas.
Material type: TextTextSeries: eBooks on Demand.Produktion und Logistik: Publisher: Wiesbaden : Springer Fachmedien Wiesbaden, 2015Description: 1 online resource (263 p.).ISBN: 9783658084332.Subject(s): Chemical industry -- Management | Chemical industry -- PlanningGenre/Form: Electronic books.Additional physical formats: Print version:: Integrated Supply Chain Planning in Chemical Industry : Potentials of Simulation in Network PlanningDDC classification: 660.0684 Online resources: Click here to view this ebook.
Contents:
Foreword; Preface; Contents; List of Tables; List of Figures; List of Abbreviations; List of Notation; 1 Introduction; 1.1 Motivation; 1.2 Outline of the thesis; 2 Chemical production processes; 2.1 Characterization of chemical production processes; 2.2 Modelling chemical production processes; 2.2.1 Chemical kinetics; 2.2.2 Modelling & simulation of chemical processes; 2.2.3 Process identification & control; 2.3 Time series methodology; 2.3.1 ARIMA models; 2.3.2 GARCH models; 2.3.3 Multivariate time series models; 2.3.4 Data preparation, model specification and residual checking
3 Distribution planning in chemical industry logistics3.1 Characteristics of chemical industry logistics; 3.2 Planning problems for pipeline operations; 3.2.1 Technical and organizational prerequisites; 3.2.2 Single-product pipelines; 3.2.3 Multi-product pipelines; 3.3 Planning problems for rail operations; 3.3.1 Technical and organizational prerequisites; 3.3.2 A short-term rail transportation problem; 3.4 Planning problems for ship operations; 3.4.1 Technical and organizational prerequisites; 3.4.2 Maritime inventory routing problems; 3.4.3 Maritime inventory shipping problems
4 Integrated planning of chemical supply chains4.1 Literature review; 4.2 Sources and effects of uncertainty in chemical industry; 4.3 A framework for simulation-based integrated planning of supply chains in chemical industry; 4.3.1 Conceptual modelling & data analysis; 4.3.2 Components of chemical supply chain simulation models; 4.3.3 Verification & validation; 4.3.4 Planning of simulation experiments; 4.3.5 Decision support; 5 Conclusion and final remarks; Bibliography; Appendix
Summary: Thomas Kirschstein provides an overview on methods and approaches for planning and optimizing large-scale chemical production networks. The focus is on an integrated modelling of chemical production processes, logistical processes as well as environmental effects. Therefore, a hybrid simulation framework is designed taking into account time series models for modelling chemical production processes, linear optimization models for describing logistical processes as well as stochastic processes for modelling environmental effects.
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Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online
HD9650.5 -- .K577 2015eb (Browse shelf) http://uttyler.eblib.com/patron/FullRecord.aspx?p=1967456 Available EBL1967456

Foreword; Preface; Contents; List of Tables; List of Figures; List of Abbreviations; List of Notation; 1 Introduction; 1.1 Motivation; 1.2 Outline of the thesis; 2 Chemical production processes; 2.1 Characterization of chemical production processes; 2.2 Modelling chemical production processes; 2.2.1 Chemical kinetics; 2.2.2 Modelling & simulation of chemical processes; 2.2.3 Process identification & control; 2.3 Time series methodology; 2.3.1 ARIMA models; 2.3.2 GARCH models; 2.3.3 Multivariate time series models; 2.3.4 Data preparation, model specification and residual checking

3 Distribution planning in chemical industry logistics3.1 Characteristics of chemical industry logistics; 3.2 Planning problems for pipeline operations; 3.2.1 Technical and organizational prerequisites; 3.2.2 Single-product pipelines; 3.2.3 Multi-product pipelines; 3.3 Planning problems for rail operations; 3.3.1 Technical and organizational prerequisites; 3.3.2 A short-term rail transportation problem; 3.4 Planning problems for ship operations; 3.4.1 Technical and organizational prerequisites; 3.4.2 Maritime inventory routing problems; 3.4.3 Maritime inventory shipping problems

4 Integrated planning of chemical supply chains4.1 Literature review; 4.2 Sources and effects of uncertainty in chemical industry; 4.3 A framework for simulation-based integrated planning of supply chains in chemical industry; 4.3.1 Conceptual modelling & data analysis; 4.3.2 Components of chemical supply chain simulation models; 4.3.3 Verification & validation; 4.3.4 Planning of simulation experiments; 4.3.5 Decision support; 5 Conclusion and final remarks; Bibliography; Appendix

Thomas Kirschstein provides an overview on methods and approaches for planning and optimizing large-scale chemical production networks. The focus is on an integrated modelling of chemical production processes, logistical processes as well as environmental effects. Therefore, a hybrid simulation framework is designed taking into account time series models for modelling chemical production processes, linear optimization models for describing logistical processes as well as stochastic processes for modelling environmental effects.

Description based upon print version of record.

Author notes provided by Syndetics

Dr. Thomas Kirschstein wrote his dissertation under the supervision of Prof. Dr. Christian Bierwirth at the Chair of Production and Logistics at the University of Halle (Saale).

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