Sequencing & Scheduling with Inaccurate Data (Applied Statistica Science) - Tapa dura

 
9781629486772: Sequencing & Scheduling with Inaccurate Data (Applied Statistica Science)
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ISBN 10: 1629486779 ISBN 13: 9781629486772
Editorial: Nova Science Publishers Inc, 2014

Sinopsis

In many real-world applications, the problems with the data used for scheduling such as processing times, set-up 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 (ie: it can take values from a given interval). This book considers the four major approaches for dealing with such problems: a stochastic approach, a fuzzy approach, a robust approach and a stability approach. Each of the four parts is devoted to one of these approaches. First, it contains a survey chapter on this subject, as well as between further chapters, presenting some recent research results in the particular area. The book provides the reader with a comprehensive and up-to-date introduction into scheduling with inaccurate data. The four survey chapters deal with scheduling with stochastic approaches, fuzzy job-shop scheduling, min-max regret scheduling problems and a stability approach to sequencing and scheduling under uncertainty. This book will be useful for applied mathematicians, students and PhD students dealing with scheduling theory, optimisation and calendar planning.

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Reseña del editor

In many real-world applications, the problems with the data used for scheduling such as processing times, set-up 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 (ie: it can take values from a given interval). This book considers the four major approaches for dealing with such problems: a stochastic approach, a fuzzy approach, a robust approach and a stability approach.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Nova Science Publishers Inc
Año de publicación
2014
Idioma
Inglés
ISBN 10 
1629486779
ISBN 13 
9781629486772
Encuadernación
Tapa dura
Número de páginas
405
Editor
Sotskov Yuri N, Werner Frank
Contacto del fabricante
no disponible
Persona responsable
no disponible