Sequencing & Scheduling with Inaccurate Data

Name: Sequencing & Scheduling with Inaccurate Data
Brand: Nova Science Publishers Inc
SKU: 9781629486772
Price: 1364.92 PLN
Availability: InStock

Autor: Frank Werner, Yuri N Sotskov

Język:

Oprawa: Twarda

Wydawca: Nova Science Publishers Inc

Dostępność: 50 % szansa

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In many real-world applications, the problems with the data used for scheduling such as processing t...

Informacje o książce

Autor

Frank Werner, Yuri N Sotskov

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2014

strony

405

EAN

9781629486772

ISBN

9781629486772

Enbook ID

06439161

Wydawca

Nova Science Publishers Inc

Waga

944

Wymiary

184 x 259 x 28

Pełny opis

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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