In light of the global economic downturn and the intricate division of labor in manufacturing, the imperative for advanced manufacturing services and Manufacturing Service Collaboration (MSC) has escalated significantly. As manufacturing services gravitate towards aggregation on manufacturing service platforms, platform-aggregated MSC has emerged as an inevitable and compelling trend, capturing the attention of researchers worldwide. However, despite the existence of numerous frameworks, models, operational mechanisms, and algorithms proposed for the platform-aggregated MSC, drawing comparisons between these studies remains a complex endeavor. To address this predicament, this article proposes and explores a novel benchmarking methodology for platform-aggregated MSC. By employing complex network theory, a comprehensive model of platform-aggregated MSC is constructed and supplemented with corresponding methodologies for data generation and the configuration of optimization algorithms. Moreover, pertinent performance evaluation metrics are scrutinized to assess their applicability in the context of platform-aggregated MSC. The article culminates with the execution of a series of platform operation experiments designed to test the effectiveness and practicality of the proposed benchmarking system, thereby contributing to the ongoing evolution of the MSC domain.

中文翻译：

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平台聚合制造服务协作的基准测试：方法论和实施


鉴于全球经济低迷和制造业分工的复杂性，先进制造服务和制造服务协作（MSC）的必要性显着升级。随着制造服务向制造服务平台聚合的方向发展，平台聚合MSC已成为必然趋势，吸引了全球研究人员的关注。然而，尽管存在为平台聚合 MSC 提出的众多框架、模型、操作机制和算法，但对这些研究进行比较仍然是一项复杂的工作。为了解决这一困境，本文提出并探索了一种新的平台聚合 MSC 基准测试方法。利用复杂网络理论，构建了平台聚合MSC的综合模型，并补充了相应的数据生成方法和优化算法配置。此外，还仔细审查了相关的绩效评估指标，以评估其在平台聚合 MSC 背景下的适用性。本文最后执行了一系列平台操作实验，旨在测试所提出的基准测试系统的有效性和实用性，从而为 MSC 领域的持续发展做出贡献。