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Time Continuity in Discrete Time Models [electronic resource] :New Approaches for Production Planning in Process Industries / by Christopher Suerie.

by Suerie, Christopher [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Economics and Mathematical Systems: 552Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.Description: XVIII, 229 p. online resource.ISBN: 9783540272908.Subject(s): Economics | Operations research | Business logistics | Economics/Management Science | Production/Logistics | Operations Research, Mathematical Programming | Operations Research/Decision TheoryDDC classification: 658.5 Online resources: Click here to access online
Contents:
Basic Models in Lot-Sizing -- Extensions to the Basic Models: Time Continuity -- Literature Review -- Planning Framework and Solution Techniques -- Modeling and Solution Approach -- Analysis of Solutions and Computational Performance -- Summary and Outlook.
In: Springer eBooksSummary: Production planning problems containing special characteristics from process industries are addressed in this book. The main subject is the development of mathematical programming models that allow to model production plans which are not disrupted by discretization of time. However, discrete time models are used as a basis and are subsequently enhanced to include aspects of time continuity. Their integration is achieved by different building blocks which may be combined freely according to the specific planning situation at hand. The primary area of application of these kinds of models are process industries.
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Basic Models in Lot-Sizing -- Extensions to the Basic Models: Time Continuity -- Literature Review -- Planning Framework and Solution Techniques -- Modeling and Solution Approach -- Analysis of Solutions and Computational Performance -- Summary and Outlook.

Production planning problems containing special characteristics from process industries are addressed in this book. The main subject is the development of mathematical programming models that allow to model production plans which are not disrupted by discretization of time. However, discrete time models are used as a basis and are subsequently enhanced to include aspects of time continuity. Their integration is achieved by different building blocks which may be combined freely according to the specific planning situation at hand. The primary area of application of these kinds of models are process industries.

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