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Sequencing and scheduling with inaccurate data /

In many real-world applications, the problems with the data used for scheduling such as processing times, setup times, release dates or due dates is not exactly known before applying a specific solution algorithm which restricts practical aspects of scheduling theory. During the last decades, severa...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Werner, Frank, 1955- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Nova Publishers, [2014]
Colección:Applied statistical science.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Sequencing and scheduling with inaccurate data /  |c Yuri N. Sotskov and Frank Werner, editors. 
264 1 |a New York :  |b Nova Publishers,  |c [2014] 
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490 1 |a Applied Statistical Science 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 |a Part I. Stochastic approach -- part II. Fuzzy approach -- part III. Robust approach -- part IV. Stability approach. 
520 |a In many real-world applications, the problems with the data used for scheduling such as processing times, setup times, release dates or due dates is not exactly known before applying a specific solution algorithm which restricts practical aspects of scheduling theory. During the last decades, several approaches have been developed for sequencing and scheduling with inaccurate data, depending on whether the data is given as random numbers, fuzzy numbers or whether it is uncertain, i.e., it can take values from a given interval. This book considers the four major approaches for dealing with such. 
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700 1 |a Sotskov, I͡U. N.  |q (I͡Uriĭ Nazarovich),  |e editor of compilation. 
700 1 |a Werner, Frank,  |d 1955-  |e editor. 
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