Téléchargez le livre : Time-Dependent Path Scheduling

Time-Dependent Path Scheduling

Algorithmic Minimization of Walking Time at the Moving Assembly Line

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Éditeur :

Springer Vieweg


Paru le : 2019-11-22



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Description

Moving assembly lines are the stepping stone for mass production of automobiles. Here, every second counts, which necessitates planners to meticulously optimize them. A crucial factor is each worker’s nonproductive walking time between the moving workpiece and line-side material containers for picking up required material. Minimizing the walking time is difficult because the workpiece moves steadily. Helmut A. Sedding devises algorithms to optimize the sequence of work operations, and the placement of material containers. Thereby, he introduces a novel category of time-dependent scheduling problems, and lays the basis for the algorithmic optimization of time-dependent paths at the moving assembly line.

About the Author:
Helmut A. Sedding passed his doctoral thesis with distinction at the Institute of Theoretical Computer Science at Ulm University, Germany. He researches on modeling, complexity analysis, and algorithm design for the solution of various optimization problems. His practical experience includes the development of automotive production planning software in use at major car manufacturers.
Pages
169 pages
Collection
n.c
Parution
2019-11-22
Marque
Springer Vieweg
EAN papier
9783658284145
EAN PDF
9783658284152
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
2222 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
52,74 €

Helmut A. Sedding passed his doctoral thesis with distinction at the Institute of Theoretical Computer Science at Ulm University, Germany. He researches on modeling, complexity analysis, and algorithm design for the solution of various optimization problems. His practical experience includes the development of automotive production planning software, in use at major car manufacturers.

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