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Showing posts with label industrial. Show all posts
Showing posts with label industrial. Show all posts

24 August 2010

Process Management: Why Project Management Fails in Complex Decision Making Processes

Publisher: Springer

ISBN: 364213940X
edition 2010
PDF
200 pages
1,1 mb
 
 
 
What is it that makes a manager or a politician a successful decision maker? Our first inclination would be to say decisiveness and substance. Many managers who met those criteria, however, had to abandon the field in the past several years. The authors of Process Management regard a manager as successful if he pays much attention to the process aspects of change.
 
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29 April 2010

download : Linear Programming, 2nd Ed

Operation Research, play a very important role in industrial engineering and management. Linear programming is a member of operation reasearch, which you need to understand it !


Table of Contents:


Introduction / Mathematical Background / Theory of the Simplex Method / Detailed Development and Computational Aspects of the Simplex Method / Further Discussion of the Simplex Method / Resolution of the Degeneracy Problem / The Revised Simplex Method / Duality Theory and its Ramifications / Transportation Problems / Network Flows / Special Topics / Applications of Linear Programming to Industrial Problems / Applications of Linear Programming to Economic Theory / Index.
 
 

05 April 2010

download : Industrial Mathematics: Case Studies in the Diffusion of Heat

Industrial Mathematics: Case Studies in the Diffusion of Heat and Matter
Cambridge University Press
2002
ISBN: 0521807174, 0521001811
214 pages
PDF
1,2 MB
 
Use Mathematics to solve industrial problems !
 
 
The focus in this text is on mathematical modelling stimulated by contemporary industrial problems involving heat conduction and mass diffusion. These include continuous metal casting, laser drilling, spontaneous combustion of industrial waste, water filtration and crop irrigation. The industrial problems prove to be an excellent setting for the introduction and reinforcement of modelling skills, equation solving techniques, qualitative understanding of partial differential equations and their dynamical properties. Mathematical topics include setting up partial differential equations and boundary conditions, dimensional analysis, scaling, perturbation expansions, boundary valuer problems, Fourier series, symmetry reductions, Stefan problems and bifurcations.
 
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