Abstract
In recent years, the Cloud Manufacturing System (CMS) has received increasing attention as a customer-oriented process for the production of customized products. To increase the market share of the CMS, it's inevitable to take customer satisfaction into account. Consequently, this study simultaneously addresses both customer satisfaction and CMS satisfaction. In this context, a multi-objective mathematical model is developed for the scheduling of tasks to the CMS, focusing on five core characteristics: (1) setting the customized product price under a mutual benefit policy, (2) designing a maintenance program to reduce machine failure rate and costs, (3) ensuring fairness among customers, (4) providing an order acceptance policy, and (5) factoring in the costs related to earliness and tardiness. The performance of the proposed model was assessed through three comparative experiments: (a) the mutual benefit strategy's effectiveness, (b) the impact of the provision of the maintenance program, and (c) the effect of tardiness and earliness.