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“精细切割”，政府正在分散其决策过程，安全组织正在分散其业务时间和空间。今天，供应链不再是简单的链，而是复杂的网络，在产品的整个生命周期中，涉及到生产、加工、运输、零售和废物管理的许多参与者。COVID-19大流行加剧了相互依赖，因为大多数企业严重依赖全球生产和供应。分布式作战并不是商业部门所独有的，但军事和安全机构也采用了分散作战来执行复杂的任务。当组织寻求改进和适应时，他们被迫重新考虑他们在分布式网络中的操作和决策。分布式合作生产网络（CPN）是一组自组织、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）的认识有限。此外，随着我们意识到气候变化和社会责任的紧迫性，组织正在采用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运营、组织内、组织间和组织外各级。然而，我们对可持续cpn中分布式决策的理解仍然滞后。现有的系统和技术不能充分支持可持续CPN的决策。当不同的合作生产参与者之间的价值创造、转移和分配是多维、多元和动态的时，需要负责任的决策支持理论和算法来沿着cpn可持续地管理价值。负责任的决策承认利益相关者观点的多元性。决策应该明确地考虑多个标准，并调和它们之间的冲突，因为单目标决策会导致非帕累托决策。负责任的决策还应考虑到价值创造动态随时间和地域的变化。我打算研究分布式环境中的负责任决策技术，如可持续cpn、分散运营和全球供应链。我计划贡献一个管理可持续价值聚合的决策理论，以及基于多标准决策分析、测量理论、机器学习和数据分析的几个决策支持算法。我将使用多智能体建模和仿真来验证所提出的理论和算法的发展。该研究项目将促进负责任管理科学、人工智能和M&S的发展，以管理分布式决策，实现可持续价值管理。

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.