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Besides the technological challenge of flying a space probe for ten years before arriving at the final mission destination, one is confronted with a potential loss of knowledge during this period. The purpose of this paper is to give an overview of the general knowledge management applied for such a mission. It aims to give details for a new approach, the video approach, to capture expertise knowledge of engineers and scientists.

The video approach included the visit of all instrument teams for several days, executing interviews with engineers, technicians and scientists. During the interviews a table of content (/toc/) with attached keywords was generated. The final video was transferred into a computer‐readable form and connected with the table of content. The methodology that was used to prepare and execute the interviews, the final video material and the storage and structure of the table of content and keywords is presented.

The experimenter interviews and the follow‐up work are finished. The paper finds that feedback received so far is positive and some experimenter teams use the approach for internal work.

The existing videos are not integrated into the existing standard office environment. Another technology step needs to integrate video capture, search and play into the existing, e.g. document processing, environment. The quality of the approach is difficult to estimate as the captured information might only be used in the years to come.

Proof of concept is given and lessons‐learned listed.

An new approach is documented giving technical implementation, setup, execution and approach details. Suitable as a reference paper for any organization with similar knowledge management requirements.

This paper aims to describe the development of a knowledge management system (KMS) for the Nadir and Occultation for Mars Discovery (NOMAD) instrument on board the ESA/Roscosmos 2016 ExoMars Trace Gas Orbiter (TGO) spacecraft. The KMS collects knowledge acquired during the engineering process that involved over 30 project partners. In addition to the documentation and technical data (explicit knowledge), a dedicated effort was made to collect the gained experience (tacit knowledge) that is crucial for the operational phase of the TGO mission and also for future projects. The system is now in service and provides valuable information for the scientists and engineers working with NOMAD.

The NOMAD KMS was built around six areas: official documentation, technical specifications and test results, lessons learned, management data (proposals, deliverables, progress reports and minutes of meetings), picture files and movie files. Today, the KMS contains 110 GB of data spread over 11,000 documents and more than 13,000 media files. A computer-aided design (CAD) library contains a model of the full instrument as well as exported sub-parts in different formats. A context search engine for both documents and media files was implemented.

The conceived KMS design is basic, flexible and very robust. It can be adapted to future projects of a similar size.

The paper provides practical guidelines on how to retain the knowledge from a larger aerospace project. The KMS tool presented here works offline, requires no maintenance and conforms to data protection standards.

This paper shows how knowledge management requirements for space missions can be fulfilled. The paper demonstrates how to transform the large collection of project data into a useful tool and how to address usability aspects.

This paper reviews and analyses some specific conditions for innovation in the European space sector. Innovation has enabled the first steps of humans into space and remained a key central parameter ever since. On the other hand, the space sector lacks key parameters encouraging innovation. While governments have put in place instruments to overcome these deficiencies, the current mechanisms seem to address mainly incremental/sustaining innovation. It is argued that this situation might be leaving the space sector prone to changes coming from radical and disruptive innovation. Applying mechanisms developed for understanding disruptive innovation processes in the private sector, two specific current developments in the space sector are analyzed.

This chapter presents the survey of selected linear and mixed integer programming multi-objective portfolio optimization. The definitions of selected percentile risk measures are presented. Some contrasts and similarities of the different types of portfolio formulations are drawn out. The survey of multi-criteria methods devoted to portfolio optimization such as weighting approach, lexicographic approach, and reference point method is also presented. This survey presents the nature of the multi-objective portfolio problems focuses on a compromise between the construction of objectives, constraints, and decision variables in a portfolio and the problem complexity of the implemented mathematical models. There is always a trade-off between computational time and the size of an input data, as well as the type of mathematical programming formulation with linear and/or mixed integer variables.

The purpose of this chapter is to share the structure and strategies that institutions can use to transform the experience of students learning at a distance. Details on how one of the largest educational systems in the United States, the State University of New York (SUNY), reshaped the student online learning experience via the “Open SUNY” model will be described. Specific strategies for infusing existing models of support with new ways of thinking will be explained.

In particular, this chapter will explore the infrastructure of the Open SUNY model of collaboration, the use of the Open SUNY Institutional Readiness approach for preparing colleges to deliver quality online programming, and the unique Open SUNY+ Signature Element program for assessing the quality of online programming and support structures.

This chapter will also highlight the efforts of one campus, SUNY Canton, to leverage Open SUNY and take its signature element on student engagement to the next level. A case study on Canton will show how the campus incorporated online students in all aspects of campus life to reduce student isolation. Specific online student engagement strategies will be provided.

Supply chain is an important aspect for all the companies and can affect many aspects of companies. Especially the disruption in supply chain is causing huge impacts and consequences that are difficult to deal with. This chapter presents a review of selected multiple criteria problems used in supply chain optimization. Research analyzed the multiple criteria decision-making methods to tackle the problem of supplier evaluation and selection. It also focuses on the problem of supply chain when a disruption happens and presents strategies to deal with the issue of disruptions in supply chain and how to mitigate the impact of disruptions. Prevention, response, protection, and recovery strategies are explained. Practical part is focused in the risk-averse models to minimize expected worst-case scenario by single sourcing. Computational experiments for practical examples have been solved using CPLEX solver.

This program evaluation aimed to investigate the benefits and challenges of an international, intercultural, e-community-engagement experience involving youth and higher education students. The authors sought to understand the meaning that participants would make of an international, intercultural, e-community-engagement experience.

The program evaluation component of this project was qualitative, participatory and action-oriented. It was composed of online reflection sessions with small, international groups of higher education students from Iraq, India, Morocco, South Africa and the USA immediately following each of five interactive exchange sessions with youth from South Africa. It also included one culminating reflection session to which all of the higher education student participants were invited and a written questionnaire that was completed by the youth participants at the conclusion of the project. The reflection sessions were recorded and transcribed. Transcripts and survey data were reviewed for emergent themes.

Cultural exposure emerged as the primary theme with participants valuing the opportunity to learn about different cultures and to connect with individuals from across the globe.

This program evaluation was not designed as a generalizable study. This pilot initiative provides evidence of the potential value and importance of international, intercultural e-community-engagement experiences for youth and higher education students.

The potential value of technology to build exchange opportunities for young people is immense and largely untapped. International, intercultural e-community-engagement initiatives can be made available to students globally with relatively limited resources. A highly structured and focused plan provides clarity about expectations and requirements for students. A high level of commitment is required by all participants, including the faculty coordinators.

Although the project was brief, exposure to numerous countries and cultures allowed participants to challenge their assumptions about different peoples and places in the world. The potential benefits for greater compassion and understanding of communities and cultures in an international context are high.

This program evaluation contributes to and extends the literature on the possibilities and challenges of international e-community-engagement; it demonstrates the potential for e-community-engagement across multiple countries to broaden students' exposure to and interest in global perspectives.

Global competition and rapidly changing customer requirements are demanding increasing changes in manufacturing environments. Enterprises are required to constantly redesign their products and continuously reconfigure their manufacturing systems. Traditional approaches to manufacturing systems do not fully satisfy this new situation. Many authors have proposed that artificial intelligence (AI) will bring the flexibility and efficiency needed by manufacturing systems. This paper is a review of AI techniques used in manufacturing systems. The paper first defines the components of a simplified intelligent manufacturing systems (IMS), the different AI techniques to be considered and then shows how these AI techniques are used for the components of IMS.

Optimum utilization of investments has always been considered one of the most crucial aspects of capital markets. Investment into various securities is the subject of portfolio optimization intent to maximize return at minimum risk. In this series, a population-based evolutionary approach, stochastic fractal search (SFS), is derived from the natural growth phenomenon. This study aims to develop portfolio selection model using SFS approach to construct an efficient portfolio by optimizing the Sharpe ratio with risk budgeting constraints.

This paper proposes a constrained portfolio optimization model using the SFS approach with risk-budgeting constraints. SFS is an evolutionary method inspired by the natural growth process which has been modeled using the fractal theory. Experimental analysis has been conducted to determine the effectiveness of the proposed model by making comparisons with state-of-the-art from domain such as genetic algorithm, particle swarm optimization, simulated annealing and differential evolution. The real datasets of the Indian stock exchanges and datasets of global stock exchanges such as Nikkei 225, DAX 100, FTSE 100, Hang Seng31 and S&P 100 have been taken in the study.

The study confirms the better performance of the SFS model among its peers. Also, statistical analysis has been done using SPSS 20 to confirm the hypothesis developed in the experimental analysis.

In the recent past, researchers have already proposed a significant number of models to solve portfolio selection problems using the meta-heuristic approach. However, this is the first attempt to apply the SFS optimization approach to the problem.