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.

中文翻译：

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云制造中基于迭代双拍卖的多目标资源优化调度

云制造是一种新型的网络化制造模型。在此模型中，制造资源被组织起来并按需用作面向市场的服务。这些服务是高度不确定的，并且专注于用户。服务需求者和服务提供者之间的信息通常不完整。这些挑战使资源调度更加困难。在这项研究中，提出了一种基于博弈论的迭代式双重拍卖机制来平衡个人利益。资源需求者和提供者在拍卖中充当买者和卖者。资源需求者根据预算，交货时间，偏好和拍卖过程提供价格。同时，资源提供者根据成本，最大期望利润，最优保留价格和拍卖过程来定价。诚实的报价策略对于拍卖的参与者至关重要。该机制能够以不完整的信息来保证市场中不同参与者之间的经济利益。此外，该机制还有助于防止诸如投机，欺诈等有害的市场行为。基于迭代的双重拍卖机制，考虑到多个目标，可以将制造资源最优地分配给用户。拍卖机制也是激励相容性。基于迭代的双向拍卖机制，考虑到多个目标，可以将制造资源最优地分配给用户。拍卖机制也是激励相容性。基于迭代的双向拍卖机制，考虑到多个目标，可以将制造资源最优地分配给用户。拍卖机制也是激励相容性。