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Multi-objective resource optimization scheduling based on iterative double auction in cloud manufacturing
- Source :
- Advances in Manufacturing. 7:374-388
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Cloud manufacturing is a new kind of networked manufacturing model. In this model, manufacturing resources are organized and used on demand as market-oriented services. These services are highly uncertain and focus on users. The information between service demanders and service providers is usually incomplete. These challenges make the resource scheduling more difficult. In this study, an iterative double auction mechanism is proposed based on game theory to balance the individual benefits. Resource demanders and providers act as buyers and sellers in the auction. Resource demanders offer a price according to the budget, the delivery time, preference, and the process of auction. Meanwhile, resource providers ask for a price according to the cost, maximum expected profit, optimal reservation price, and the process of auction. A honest quotation strategy is dominant for a participant in the auction. The mechanism is capable of guaranteeing the economic benefits among different participants in the market with incomplete information. Furthermore, the mechanism is helpful for preventing harmful market behaviors such as speculation, cheating, etc. Based on the iterative double auction mechanism, manufacturing resources are optimally allocated to users with consideration of multiple objectives. The auction mechanism is also incentive compatibility.
- Subjects :
- 0209 industrial biotechnology
Polymers and Plastics
Operations research
Computer science
Mechanical Engineering
TheoryofComputation_GENERAL
02 engineering and technology
Service provider
Industrial and Manufacturing Engineering
Reservation price
020303 mechanical engineering & transports
020901 industrial engineering & automation
0203 mechanical engineering
Mechanics of Materials
Complete information
Ask price
Incentive compatibility
Double auction
Cloud manufacturing
Game theory
Subjects
Details
- ISSN :
- 21953597 and 20953127
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- Advances in Manufacturing
- Accession number :
- edsair.doi...........d43179612bdd77d2e625a46dfd816b09