scholarly journals Evaluating Ordering Strategies of Star Glyph Axes

2019 ◽  
Author(s):  
Matthias Miller ◽  
Xuan Zhang ◽  
Johannes Fuchs ◽  
Michael Blumenschein
Keyword(s):  
Ordering Strategies

Costs of Laboratory Ordering Strategies

1984 ◽  
Vol 15 (11) ◽  
pp. 759-760 ◽  
Author(s):  
Craig Lehmann ◽  
Alan Leiken
Keyword(s):  
Ordering Strategies

scholarly journals Effects of Ordering Strategies and Programming Paradigms on Sparse Matrix Computations

SIAM Review ◽  
2002 ◽  
Vol 44 (3) ◽  
pp. 373-393 ◽  
Author(s):  
Leonid Oliker ◽  
Xiaoye Li ◽  
Parry Husbands ◽  
Rupak Biswas
Keyword(s):  
Sparse Matrix ◽  
Matrix Computations ◽  
Programming Paradigms ◽  
Ordering Strategies

The evolution of ordering strategies under Damaged Beer Game

2015 ◽  
Author(s):  
Hiroshi Sato ◽  
Tomohiro Shirakawa ◽  
Masao Kubo ◽  
Akira Namatame
Keyword(s):  
Beer Game ◽  
Ordering Strategies

Modeling of Supply Chain Decision Logic Using PID Controllers

2004 ◽  
Author(s):  
Tung-King See ◽  
Edward M. Kasprzak ◽  
Tarunraj Singh ◽  
Kemper E. Lewis
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Critical Issue ◽  
Decision Makers ◽  
Pid Controllers ◽  
Supply Chain System ◽  
Number Of Factors ◽  
Human Decision ◽  
Decision Logic ◽  
Ordering Strategies

Most manufacturing takes place in the context of a supply chain. Each station in the supply chain must not only manufacture a product but also decide how much to produce. This decision is influenced by the supply of materials/components from the next station down in the supply chain and the demand from the next station up. With the advent of increased customization, inventory management is increasingly becoming a critical issue in the manufacturing process. In this paper we model the decision logic at each stage of a supply chain system through the use of system identification and PID controllers. The goal is to investigate and manage the costs of manufacturing a product in the context of a supply chain. It is assumed that the supply chain has well-understood interactions between individual positions, allowing for a focus on the ordering decision logic. A review of ordering strategies is presented, and a discussion of the difficulties in determining PID gains for human decision makers is included. The results show a range of correlation between the PID simulation and measured supply chain inventories. This stems from a number of factors, which are discussed. Additionally, ordering strategies to optimize the supply chain are investigated.

Evaluation of ordering strategies for constraint satisfaction reactive scheduling

1998 ◽  
Vol 22 (2) ◽  
pp. 187-197 ◽  
Author(s):  
Min Soo Suh ◽  
Albert Lee ◽  
Yung Jae Lee ◽  
Young Kwan Ko
Keyword(s):  
Constraint Satisfaction ◽  
Reactive Scheduling ◽  
Ordering Strategies
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