Sequencing and scheduling with inaccurate data / Yuri N. Sotskov and Frank Werner, editors.

Format:

Book

Contributor:

Sotskov, I︠U︡. N. (I︠U︡riĭ Nazarovich)

Werner, Frank, 1955-

Series:

Applied Statistical Science

Applied statisical science

Language:

English

Subjects (All):

Stochastic sequences.

Physical Description:

1 online resource (405 p.)

Place of Publication:

Hauppauge, New York : Nova Science Publishers, Inc., [2014]

Language Note:

English

Summary:

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

Contents:

part I. Stochastic approach

part II. Fuzzy approach

part III. Robust approach

part IV. Stability approach.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-62948-722-8

OCLC:

870272712