P. O. Skobelev, O. I. Lakhin, I.V. Mayorov. Method of Adaptive Cargo Flow Scheduling for ISS RS Based on Multi-Agent Technology // V. Marik et al. (Eds.): Proceedings of the 8th International Conference on Industrial Applications of Holonic and Multi-Agent Systems (HoloMAS’2017), August 28-30, 2017, Lion, France. – HoloMas 2017, LNAI 10444. – P. 3-10, 2017. Springer International Publishing, Switzerland, 2017. DOI: 10.1007/978-3-319-64635-0_1.
Problem statement: The problem of real-time cargo flow scheduling for the Russian Segment of the International Space Station (ISS RS) is
considered. Strategic and tactical scheduling of flight plans, delivery, return, disposal and allocation of RS ISS cargo flow, including more than 3500 entities, is a very complex and time-consuming task. To solve this problem one has to consider numerous factors, constraints and preferences, such as changing demand in fuel, water and supplies, ballistics and solar activity, peculiarities of spaceship types and docking modules. Changes in dates of launch, landing, docking and undocking, number of crew members and other parameters influence the flight program and cargo flow. These changes require dynamic rescheduling in the chain of changes of interconnected parameters that should be
specified, recalculated and coordinated. The problem is represented as a dynamical balance of interests between demands and resources. Methods: A method of adaptive ISS RS cargo flow scheduling in real-time is suggested, considering cargo priorities. The method is based on multi-agent technology for solving conflicts through negotiations of agents. This method is capable of flexible and efficient adaptation of ISS RS cargo flow schedule depending on events in real-time. Results: The developed method is used in the interactive multi-agent system for scheduling of flight program, cargo flow and resources of ISS RS. Practical relevance: The developed system has been implemented in
industrial operation and is used for cargo flow scheduling of ISS RS resources. The system provides the following advantages: ISS cargo flow scheduling similar to the schedules created by the experienced operators; flexible and quick reaction to the events that cause cargo flow re-scheduling; reduction of manual labor and increased decision-making efficiency by 2-3 times; real-time monitoring and control of the schedule implementation.
George Rzevski, Vladimir Soloviev, Petr Skobelev, Oleg Lakhin. Complex Adaptive Logistics for The International Space Station // International Journal of Design & Nature and Ecodynamics. – WIT Press, vol. 11(2016), is. 3. – pp. 459-472. DOI 10.2495/DNE-V11-N3-459-472.
Whilst launching of astronauts is always in the news, little is known about logistics support that must be in place for the successful spaceflight to be possible. This paper describes some details of the Intelligent Logistics Management System, conceived by the authors, and developed by two sister companies, one in the UK and the other in Russia, which supports Russian contribution to the international space exploration. The System is designed as a complex adaptive network of interacting real-time schedulers, believed to be the first of its kind
in the world. At present, five real-time schedulers cooperate or compete with each other, depending on the context. They schedule flights, cargo flow, storage allocation, scientific experiments, and resource allocation within the international space station (ISS). Further, schedulers can be developed and easily connected to the network, as the need arises. When two cargo vehicles were lost in 2015, the Logistics Management System rapidly re-scheduled deliveries, ensuring that astronauts were not left short of food, water, healthcare material, and laboratory equipment for space exploration. The System is based on multi-agent technology and exhibits Emergent Intelligence.
Iuliia Iurygina, Alexander Anisimov, Oleg Lakhin, Natalia Stratilatova, Alexander Egorov and Valeriy Skirmunt. Ontology and Multi-Agent Technology Application for Intellectual Property Knowledge Management // Indian Journal of Science and Technology. – Vol 9(46), December 2016. – pp. 35-43. DOI: 10.17485/ijst/2016/v9i46/107500.
Background/Objectives: Every rocket and space enterprise possesses unsystematized knowledge describing intellectual property objects (IPO). One of the system’s aims is to make knowledge easily reusable and boost up the innovative development. Method: To increase efficiency of rocket and space enterprises, development of the system for management of intellectual property knowledge is suggested. The novelty consists in using domain ontology (Semantic Web) and “multi-agent internet” as an intellectual base for knowledge management of rocket and space enterprises and the whole industry. Findings: the article provides an analysis of software tools that ensure total domain-independent support for ontological analysis. The article also gives advantages and disadvantages of existing tools. The paper describes an approach based on use of multi-agent technology and ontologies and an example of its implementation. Improvements: Applications of
the reviewed methodology will make it possible to systematize the available volumes of information, thereby enabling effective use of knowledge. Implementation of these plans is capable of realizing the main corporate priority — creating competitive advantage.
Iuliia Iurygina, Ekaterina Skoryupina, Oleg Lakhin, Natalia Mishurova. Approach to developing prototype intelligent system for support of providing safety and reliability of Progress Vehicle at the operation stage // Proceedings of the 28th International Conference on Computer Applications in Industry and Engineering (CAINE 2015), October 12-14, 2015, San Diego, California, USA. – P. 103-108.
The purpose of the study is designing an intelligent system for supporting safety and reliability at the operation stage of the Progress Vehicle. The solution uses an ontology-based conceptual model and multi-agent technologies. Application of the suggested approach will help the Flight Control Team (FCT) specialists to locate deviations from the normal conditions in time and take appropriate measures.
Ivashenko A., Khamits I., Skobelev P., Sychova M. Multi-Agent System for Scheduling of Flight Program, Cargo Flow and Resources of International Space Station. 5-th International Conference on Industrial Applications of Holonic and Multi-Agent Systems (HoloMAS 2011). –Springer Verlag. – Volume 6867 LNAI. – 2011, p. 165 — 174. DOI: 10.1007/978-3-642-23181-0_16.
This paper presents the results of application of innovative knowledge-based multi-agent technology for scheduling of flight program, cargo flow, fuel, water, and other resources of International Space Station (ISS). The developed system aims creating solid information space for scientists, responsible for ISS life activity and supply with various resources and provides intelligent scheduling considering volumes of transportation space ships and requirements of ISS life support.