In a co-design environment changes need to be integrated quickly and in an automated manner. This paper considers the challenge of creating and optimizing a global logistics system for the construction of a passenger aircraft within a co-design approach with respect to key performance indicators (like cost, time or resilience). The product in question is an aircraft, comprised of multiple components, manufactured at multiple sites worldwide. The goal is to find an optimal way to build the aircraft taking into consideration the requirements for its industrial system. The main motivation for approaching this challenge is to develop the industrial system in tandem with the product and making it more resilient against unforeseen events, reducing the risks of bottlenecks in the supply chain. This risk reduction ensures continued efficiency and operational success. To address this challenging and complex task we have chosen Answer Set Programming (ASP) as the modeling language, formalizing the relevant requirements of the investigated industrial system. The approach presented in this paper covers three main aspects: the extraction of the relevant information from a knowledge graph, the translation into logic programs and the computation of existing configurations guided by optimization criteria. Finally we visualize the results for an effortless evaluation of these models. Internal results seem promising and yielded several new research questions for future improvements of the discussed use case.

The program, called Alibaba DAMO Academy, is aimed at increasing technological collaboration globally, advancing the development of "cutting-edge" technology, and making the world more inclusive by "narrowing the technology gap", it said in an announcement on Wednesday. Within those research areas, the labs will focus on machine learning, network security, visual computing, and natural language processing. "[DAMO] is the first major global initiative to focus on developing the global technological capabilities and infrastructure that will enable Alibaba to fulfil its commitment to serve 2 billion customers and create 100 million job opportunities in 20 years," the Chinese ecommerce giant said in an announcement. The DAMO Academy's advisory board members include professors from a range of educational institutions including Harvard University, Massachusetts Institute of Technology, the Beijing University of Technology, Peking University, and Zhejiang University.