Investigation of responsible decision-making for sustainable value management in distributed co-production networks

许多公司正在拆分其业务并对其全球价值链进行“精细分割”，政府正在分散其决策流程，安全组织正在将其业务分散在时间和空间上。今天，供应链不再是简单的链，而往往是复杂的网络，在产品的整个生命周期中，许多参与者参与到生产、加工、运输、零售和废物管理中。新冠肺炎疫情加剧了相互依赖，因为大多数企业严重依赖全球的生产和供应。分布式行动并不是商业部门独有的，但军事和安全组织采取了分散行动来执行复杂的任务。随着组织寻求改进和适应，他们被迫重新考虑分布式网络的运营和决策。分布式联合制作网络(CPN)是一群自组织的、垂直相关但相对独立的组织，它们对彼此的目标和能力(例如，能力、劳动力、知识或技术)的了解有限。此外，随着我们意识到气候变化和社会责任的紧迫性，各组织正在采纳可持续发展和联合国可持续发展目标。决策发生在核心组织的业务、组织内、组织间和组织外级别上和跨级别。然而，我们对可持续国家方案网络中的分布式决策的理解仍然滞后。现有的系统和技术不足以支持可持续的国家方案的决策。特别是，当不同共同生产行为者之间的价值创造、转移和分配是多层面、多元化和动态的时，就需要负责任的决策支持理论和算法，以便沿着国家方案网络可持续地管理价值。负责任的决策承认了利益相关者的多元化观点。决策应该明确考虑多个标准，并协调它们之间的冲突，因为单目标决策导致了非帕累托决策。负责任的决策还应考虑到价值创造动态随时间和跨地区的动态变化。我打算研究适用于分布式环境的负责任的决策技术，如可持续的CPN、分散的运营和全球供应链。我计划为管理可持续价值聚集贡献一个决策理论，以及基于多准则决策分析、度量理论、机器学习和数据分析的几种决策支持算法。我将使用多智能体建模和模拟来验证所提出的理论和算法发展。这项研究计划将有助于促进责任管理科学、人工智能和M&S管理分布式决策的可持续价值管理。

Many corporations are disaggregating their operations and 'fine-slicing' their global value chains, governments are decentralizing their decision-making processes, and security organizations are dispersing their operations over time and space. Today, supply chains are no longer straightforward chains but often complex networks with many actors involved in the production, processing, transportation, retailing, and waste management throughout the product's life-cycles. The COVID-19 pandemic has exacerbated mutual dependencies as most businesses are hugely reliant on production and supplies worldwide. Distributed operations is not unique to the business sector, but military and security organizations have adopted dispersed operations to execute complex missions. As organizations seek to improve and adapt, they are forced to rethink their operations and decision-making along distributed networks. A distributed co-production network (CPN) is a cluster of self-organized and vertically related but relatively independent organizations with limited awareness of each other's goals and capabilities (e.g., capacity, labour, knowledge or technology). Moreover, as we became aware of the urgency of climate change and social responsibility, organizations are adopting sustainability and the UN Sustainable Development Goals. Decision-making occurs at and across, operational, intra-organizational, inter-organizational, and extra-organizational levels of a focal organization. However, our understanding of distributed decision-making within sustainable CPNs is still lagging. Existing systems and technologies are not adequately supporting decision-making in sustainable CPN. In particular, responsible decision-support theories and algorithms are needed to manage value sustainably along CPNs when value creation, transfer and distribution among diverse co-production actors are multi-dimensional, pluralistic and dynamic. Responsible decision-making recognizes the plurality of stakeholders' perspectives. Decisions should explicitly consider multiple criteria and reconcile their conflicts as single-objective decision-making leads to non-Pareto decisions. Responsible decision-making should also account for the dynamics of the value creation dynamics over time and across territories. I intend to investigate responsible decision technologies for distributed settings such as sustainable CPNs, dispersed operations and global supply chains. I plan to contribute a decision-making theory for managing sustainable value aggregation, and several decision support algorithms based on mult-criteria decision analysis, measurement theory, machine learning and data analytics. I will use multi-agent modelling and simulation to validate the proposed theoretical and algorithmic developments. This research program will contribute to the advancement of responsible management sciences, artificial intelligence and M&S to manage distributed decision-making for sustainable value management.