An efficient algorithm for determining the optimal arrival schedule for customers in a stochastic service system is developed. All customers arrive exactly when scheduled, and service times are modeled as iid Erlang random variables. Costs are incurred at a fixed rate per unit of time each customer
โฆ LIBER โฆ
Scheduling arrivals to a production system in a fuzzy environment
โ Scribed by Paul M. Stanfield; Russell E. King; Jeff A. Joines
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 940 KB
- Volume
- 93
- Category
- Article
- ISSN
- 0377-2217
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Scheduling customer arrivals to a stocha
โ
Peter M. Vanden Bosch; Dennis C. Dietz; John R. Simeoni
๐
Article
๐
1999
๐
John Wiley and Sons
๐
English
โ 91 KB
๐ 1 views
Static and dynamic scheduling of custome
โ
P. Patrick Wang
๐
Article
๐
1993
๐
John Wiley and Sons
๐
English
โ 700 KB
Fuzzy rule generation for adaptive sched
โ
Key K. Lee
๐
Article
๐
2008
๐
Elsevier Science
๐
English
โ 669 KB
A production scheduling system in a hybr
โ
Toshifumi Uetake; Hitoshi Tsubone; Masaaki Ohba
๐
Article
๐
1995
๐
Elsevier Science
๐
English
โ 271 KB
A neuro-fuzzy monitoring system: Applica
โ
N. Palluat; D. Racoceanu; N. Zerhouni
๐
Article
๐
2006
๐
Elsevier Science
๐
English
โ 576 KB
The multiple reconfiguration and the complexity of the modern production system lead to design intelligent monitoring aid systems. Accordingly, the use of neuro-fuzzy technics seems very promising. In this paper, we propose a new monitoring aid system composed by a dynamic neural network detection t
Reduction method based on a new fuzzy ro
โ
Min Liu; Degang Chen; Cheng Wu; Hongxing Li
๐
Article
๐
2006
๐
Elsevier Science
๐
English
โ 895 KB