A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Optimal scheduling in the operations management of water supply systems
Optimal scheduling is an important technique in manufacturing and production scheduling. The fundamental aim is the establishment of a cost function, which is a measure of the performance of some aspect of the process under consideration. In the operations management of the domestic water supply industry, the reduction of pumping costs is a continuing objective. With the efficient scheduling of pumping operations, it is considered that 10 % of the annual expenditure on energy and related costs may be saved. A typical cost function will include all of the expenditure caused by the pumping process and also consider the electrical cost of pumping taking into account the various electrical tariffs, as well as peak demand and pump switching costs. Using only fixed speed pumps, it is possible to use an efficient dynamic programming based method, provided that the storage reservoir levels are known. Other techniques that are showing fruitful results in optimization are genetic programming and simulated annealing. Genetic algorithms are easy to use, but again it is the cost function, which presents the problem. The algorithm took approximately 20 minutes to run in this case. These techniques can be used in many manufacturing and production scheduling problems, providing that it is possible to establish a cost function, and to identify the constraints and penalties. This paper compares these methods and discusses their suitability to this, and similar production scheduling problems.
Optimal scheduling in the operations management of water supply systems
Optimal scheduling is an important technique in manufacturing and production scheduling. The fundamental aim is the establishment of a cost function, which is a measure of the performance of some aspect of the process under consideration. In the operations management of the domestic water supply industry, the reduction of pumping costs is a continuing objective. With the efficient scheduling of pumping operations, it is considered that 10 % of the annual expenditure on energy and related costs may be saved. A typical cost function will include all of the expenditure caused by the pumping process and also consider the electrical cost of pumping taking into account the various electrical tariffs, as well as peak demand and pump switching costs. Using only fixed speed pumps, it is possible to use an efficient dynamic programming based method, provided that the storage reservoir levels are known. Other techniques that are showing fruitful results in optimization are genetic programming and simulated annealing. Genetic algorithms are easy to use, but again it is the cost function, which presents the problem. The algorithm took approximately 20 minutes to run in this case. These techniques can be used in many manufacturing and production scheduling problems, providing that it is possible to establish a cost function, and to identify the constraints and penalties. This paper compares these methods and discusses their suitability to this, and similar production scheduling problems.
Optimal scheduling in the operations management of water supply systems
Optimale Planung im Betriebsmanagement von Wasserversorgungssystemen
Waterworth, G. (author) / Darbyshire, K. (author)
2001
6 Seiten, 8 Bilder, 1 Tabelle, 15 Quellen
Conference paper
English
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