Collaboration Tiredness Aware Manufacturing Service Collaboration Incentive and Optimization

Abstract

Manufacturing service collaboration (MSC) provides a low cost, high efficiency, and good quality collaboration diagram on Industrial Internet Platforms. However, some stakeholders areunwilling to participate in MSC continuously due to their short-term dissatisfaction outbursts or long-term dissatisfaction accumulation with MSC. To describe the aforementioned status of stakeholders, collaboration tiredness is first defined and its causes and impacts on MSC are analyzed. To avoid massive loss of stakeholders on the platform, it is urgent to study stimulus methods to improve their satisfaction. In this article, long-term dynamic utility models are established to depict changes in stakeholder satisfaction, including short-term utility models and long-term utility updating criteria. Then, an incentive strategy is proposed, which aims at stimulating the collaboration willingness of consumers with collaboration tiredness. Once consumers with collaboration tiredness are detected through Bayesian thresholds, utility references would be generated. Then, to reach the utility references, MSC optimization would be continuously provoked to generate new plans through the improved memetic algorithm. Finally, experiments verify the effectiveness of the proposed incentive strategy from a long-term perspective.