Abstract
The general design problem in serial production lines concerns the allocation of resources such as the number of servers, their service rates, and buffers given production-specific constraints, associated costs, and revenue projections. We describe the design of exPLOre: a modular, object-oriented, production line optimization software architecture. An abstract optimization module can be instantiated using a variety of stochastic optimization methods such as simulated annealing and genetic algorithms. Its search space is constrained by a constraint checker while its search direction is guided by a cost analyser which combines the output of a throughput evaluator with the business model. The throughput evaluator can be instantiated using Markovian, generalised queueing network methods, a decomposition, or an expansion method algorithm.
| Original language | English |
|---|---|
| Pages (from-to) | 527-541 |
| Number of pages | 15 |
| Journal | Mathematical Problems in Engineering |
| Volume | 6 |
| Issue number | 6 |
| Publication status | Published - 2001 |
| Externally published | Yes |
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Keywords
- Analysis
- Evaluation
- Manufacturing systems
- Optimization
- Performance
- Production lines
- Stochastic modeling
ASJC Scopus subject areas
- Engineering(all)
Cite this
Modular Production Line Optimization : The exPLOre Architecture. / Spinellis, Diomidis D.; Papadopoulos, Chrissoleon T.
In: Mathematical Problems in Engineering, Vol. 6, No. 6, 2001, p. 527-541.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Modular Production Line Optimization
T2 - The exPLOre Architecture
AU - Spinellis, Diomidis D.
AU - Papadopoulos, Chrissoleon T.
PY - 2001
Y1 - 2001
N2 - The general design problem in serial production lines concerns the allocation of resources such as the number of servers, their service rates, and buffers given production-specific constraints, associated costs, and revenue projections. We describe the design of exPLOre: a modular, object-oriented, production line optimization software architecture. An abstract optimization module can be instantiated using a variety of stochastic optimization methods such as simulated annealing and genetic algorithms. Its search space is constrained by a constraint checker while its search direction is guided by a cost analyser which combines the output of a throughput evaluator with the business model. The throughput evaluator can be instantiated using Markovian, generalised queueing network methods, a decomposition, or an expansion method algorithm.
AB - The general design problem in serial production lines concerns the allocation of resources such as the number of servers, their service rates, and buffers given production-specific constraints, associated costs, and revenue projections. We describe the design of exPLOre: a modular, object-oriented, production line optimization software architecture. An abstract optimization module can be instantiated using a variety of stochastic optimization methods such as simulated annealing and genetic algorithms. Its search space is constrained by a constraint checker while its search direction is guided by a cost analyser which combines the output of a throughput evaluator with the business model. The throughput evaluator can be instantiated using Markovian, generalised queueing network methods, a decomposition, or an expansion method algorithm.
KW - Analysis
KW - Evaluation
KW - Manufacturing systems
KW - Optimization
KW - Performance
KW - Production lines
KW - Stochastic modeling
UR - http://www.scopus.com/inward/record.url?scp=0346387176&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0346387176&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0346387176
VL - 6
SP - 527
EP - 541
JO - Mathematical Problems in Engineering
JF - Mathematical Problems in Engineering
SN - 1024-123X
IS - 6
ER -