Abstract: Stable and diverse service resources are the important guarantee for service mass customization (SMC), which requires that service integrators should not only pay attention to the needs of customers, but also focus on improving the satisfaction of suppliers, so as to attract more service resources to integrate into the service supply chain. Supplier satisfaction is divided into order preference and coordination degree. Starting from the integration characteristics of service supply chain and the mutual restriction characteristics of suppliers, this paper discussed the important influence of supplier satisfaction on supply chain scheduling schemes in the SMC mode. The order preference and dynamic alliance of suppliers also cause the uncertainty of service capabilities. Therefore, this paper proposed a multi-objective, multi-stage supply chain scheduling programming model and the related algorithm, which can well simulate the complexity of service customization orders and the uncertainty of service capability. The numerical example demonstrates the validity of the model and algorithm proposed.

Key words: service mass customization (SMC), supply chain scheduling, fuzzy programming, genetic algorithm

摘要： 稳定多样的服务资源是服务大规模定制绩效的重要保障，服务集成商不单要重视客户需求，还要注重提高供应商满意度，从而吸引更多服务资源整合到服务供应链中。供应商满意度被分解为订单需求偏好和协调配合程度两个维度，并从服务供应链的集成特性和供应商相互制约特性出发，论述了其对服务大规模定制模式下供应链调度方案的重要影响。服务供应商的需求偏好与动态联盟造成供应商服务能力的不确定性。构建基于供应商满意度与模糊能力的多目标、多阶段供应链调度优化模型和求解算法。模型较好地模拟了服务定制订单的复杂性与服务能力的不确定性，算例分析验证了模型与算法的有效性。

关键词: 服务大规模定制（SMC）, 供应链调度；模糊规划；遗传算法