Sequencing Theory (Lecture Notes in Economics and Mathematical Systems, 69)

S. Ashour

ISBN 10: 354005877X / ISBN 13: 9783540058779

Edité par Springer, 1972

A propos de cet article

Ancien livre de bibliothèque. Petite(s) trace(s) de pliure sur la couverture. Légères traces d'usure sur la couverture. Salissures sur la tranche. Pages cornées. Edition 1972. Tome 69. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisa ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slightly creased cover. Slight signs of wear on the cover. Stains on the edge. Dog-eared pages. Edition 1972. Volume 69. Ammareal gives back up to 15% of this item's net price to charity organizations.

N° de réf. du vendeur E-566-910

Détails bibliographiques

• Titre: Sequencing Theory (Lecture Notes in Economics and Mathematical Systems, 69)
• Éditeur: Springer
• Date de parution: 1972
• Langue: anglais
• ISBN à 10 chiffres: 354005877X
• ISBN à 13 chiffres: 9783540058779
• Reliure: Softcover
• État de l'article: Bon

A propos de ce titre

Synopsis

The intent of these notes is to provide an appreciation of sequencing theory, and to develop an awareness of the combinatorial aspects of sequencing problems. An under- standing of the ideas and concepts presented in these notes will provide the necessary background to enable further study in this rapidly growing subject. These notes have been used as a part of one-semester C0urses in Operations Research for both senior and first-year graduate students. Following the introductory chapter, several classes of scheduling models are discussed in Chapter 2. Chapter 3 is devoted to discussing the characteristics of several types of criteria that have been proposed in the literature. Because of the importance of the combinatorial properties in the analysis of scheduling models, various combinatorial aspects are treated in Chapter 4. The primary objective of such a treatment is to provide the reader with an insight into the nature of the problem. Due to the tremendous number of sequences involved, and the fact that many sequences have the same schedule time, statistical sampling has elicited a great deal of theoretical studies. Two such studies, one of which has evolved from my research, are reported in Chapter 5. Many references to basic sources are cited at the end of each chapter to provide a guide for further readings. I am indebted to Professor Santa Arora of the University of Minnesota who intro- duced me to the subject during my graduate career.