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Integrated Scheduling of Continuous Casters and Hot Strip Mills : A Block Planning Application for the Steel Industry

By: Mattik, Imke.
Material type: TextTextSeries: eBooks on Demand.Produktion und Logistik: Publisher: Dordrecht : Springer, 2013Description: 1 online resource (134 p.).ISBN: 9783658037758.Subject(s): Steel industry and tradeGenre/Form: Electronic books.Additional physical formats: Print version:: Integrated Scheduling of Continuous Casters and Hot Strip Mills : A Block Planning Application for the Steel IndustryDDC classification: 330 Online resources: Click here to view this ebook.
Contents:
Foreword; Preface; Contents; List of Figures; List of Tables; List of Abbreviations and Akronyms; 1 Introduction; 1.1 Motivation; 1.2 Dissertation outline; 2 Production planning and steel industry; 2.1 Supply chain management and production planning; 2.1.1 The concept of supply chain management; 2.1.2 Hierarchical structures in production planning; 2.1.3 Advanced planning systems; 2.2 Production planning and detailed scheduling; 2.2.1 Production planning and scheduling process; 2.2.2 Relevant planning characteristics; 2.2.3 Production planning principles
2.2.4 Quantitative models of lot sizing and scheduling2.2.5 Sequencing rules; 2.3 Steel production; 2.3.1 Industry characteristics; 2.3.2 Current challenges; 2.3.3 Production setup and processes; 3 Scheduling concepts with focus on the steel industry; 3.1 Planning challenges in the steel industry; 3.1.1 Equipment specific challenges; 3.1.2 Product portfolio challenges; 3.1.3 Demand and scheduling characteristics; 3.1.4 Requirements for quantitative scheduling optimization; 3.2 Review of batching and scheduling literature with steel industry focus
3.2.1 Classification of batching and scheduling models with steel industry focus3.2.2 Review of individual publications; 3.3 Integrated and separate batching and scheduling; 3.4 Continuous and discrete representation of time; 3.5 Block planning principle; 4 Scheduling of CCs and HSMs in the steel industry; 4.1 Problem description; 4.2 Decomposition approach; 4.3 Model formulations; 4.3.1 Push-Principle; 4.3.2 Pull-principle; 5 Computational Experiments; 5.1 Experimental design; 5.2 Results and discussion; 5.2.1 Results for the push principle; 5.3 Results for the pull-principle
5.4 Comparative analysis of the push and pull-principles5.4.1 Maximum and average waiting times; 5.4.2 Total production and setup times; 5.4.3 Analysis of production stops; 5.4.4 Computational effort; 6 Conclusion; Appendix; Appendix 1: Discrete time based model formulation; References
Summary: Continuous casting and hot strip milling are two successive production steps in the steel industry. In her thesis Imke Mattik develops model formulations to integrate the scheduling of continuous casters and hot strip mills. Aim is to reduce the waiting times of the pre-products, called slabs, between the production steps and at the same time to reduce the energy consumption. Along with two different model formulations extensive numerical tests and comparative analyses are provided.
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Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online
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Foreword; Preface; Contents; List of Figures; List of Tables; List of Abbreviations and Akronyms; 1 Introduction; 1.1 Motivation; 1.2 Dissertation outline; 2 Production planning and steel industry; 2.1 Supply chain management and production planning; 2.1.1 The concept of supply chain management; 2.1.2 Hierarchical structures in production planning; 2.1.3 Advanced planning systems; 2.2 Production planning and detailed scheduling; 2.2.1 Production planning and scheduling process; 2.2.2 Relevant planning characteristics; 2.2.3 Production planning principles

2.2.4 Quantitative models of lot sizing and scheduling2.2.5 Sequencing rules; 2.3 Steel production; 2.3.1 Industry characteristics; 2.3.2 Current challenges; 2.3.3 Production setup and processes; 3 Scheduling concepts with focus on the steel industry; 3.1 Planning challenges in the steel industry; 3.1.1 Equipment specific challenges; 3.1.2 Product portfolio challenges; 3.1.3 Demand and scheduling characteristics; 3.1.4 Requirements for quantitative scheduling optimization; 3.2 Review of batching and scheduling literature with steel industry focus

3.2.1 Classification of batching and scheduling models with steel industry focus3.2.2 Review of individual publications; 3.3 Integrated and separate batching and scheduling; 3.4 Continuous and discrete representation of time; 3.5 Block planning principle; 4 Scheduling of CCs and HSMs in the steel industry; 4.1 Problem description; 4.2 Decomposition approach; 4.3 Model formulations; 4.3.1 Push-Principle; 4.3.2 Pull-principle; 5 Computational Experiments; 5.1 Experimental design; 5.2 Results and discussion; 5.2.1 Results for the push principle; 5.3 Results for the pull-principle

5.4 Comparative analysis of the push and pull-principles5.4.1 Maximum and average waiting times; 5.4.2 Total production and setup times; 5.4.3 Analysis of production stops; 5.4.4 Computational effort; 6 Conclusion; Appendix; Appendix 1: Discrete time based model formulation; References

Continuous casting and hot strip milling are two successive production steps in the steel industry. In her thesis Imke Mattik develops model formulations to integrate the scheduling of continuous casters and hot strip mills. Aim is to reduce the waiting times of the pre-products, called slabs, between the production steps and at the same time to reduce the energy consumption. Along with two different model formulations extensive numerical tests and comparative analyses are provided.

Description based upon print version of record.

Author notes provided by Syndetics

Dr. Imke Mattik wrote her dissertation under Prof. Dr. Hans-Otto Günther's supervision at the department of production management at the Technical University of Berlin.

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