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—The most resilient part of the global economy consists of manufacturing companies. They are the backbone of any healthy economy, but to survive in the global market, they must face numerous challenges. Among the biggest are achieving high efficiency in production and operations, maintaining competitiveness, and constant adaptation to innovations. Innovations are precisely what can best empower manufacturing companies to keep pace with the relentless competition in the market.
Today, it is impossible to look towards the business future without artificial intelligence (AI), which is already being used at many levels of manufacturing companies’ operations. However, there is no artificial intelligence that can unify all business processes, make interdependent decisions across each process, and then offer solutions for complex operational and strategic problems. Nevertheless, such a solution may soon exist, and it will be taken care of by experts from the Institute of Industrial Engineering at the Faculty of Mechanical Engineering and Naval Architecture (FSB) in Zagreb.
Explainable Artificial Intelligence
The research team of Assistant Professor Miro Hegedić, which includes Dr. Mihael Gudlin, a computer vision expert, and researchers Matija Golec and Petar Gregurić, who is currently conducting research related to his doctoral thesis on this topic, is most involved in the development of this product and leads the resulting spin-off company. Last year, they began the initial development of the ESARP project, an expert system for autonomous management of business processes in manufacturing companies. This solution is based on the development of explainable artificial intelligence (XAI) that can clearly explain its decisions, conclusions, or recommendations and enable management and operational decision-making in seven selected business functions of manufacturing companies: research and development, marketing and sales, human resources, procurement, production, logistics, and finance.
With the help of ESARP, various scenarios will be predicted and decisions will be made regarding the management of business processes, which should reduce the risk of subjectivity, inexperience, overlooking the bigger picture, or ignorance of decision-makers. Given that it is easier to operate in the market as a company rather than an institution, scientists have launched the aforementioned spin-off startup company, one of the first of its kind in the Croatian market. The potential was early recognized and supported by Impuls Consulting Ltd., specialized in financing innovation projects.
Participation in Competitions
The project has also been submitted for obtaining non-repayable funds according to the call from the Ministry of Science and Education for ‘Start-up/spin-off companies of young researchers’, worth a total of 5,043,466 euros. The competition stipulates that an individual project can receive at least 66,000 euros and a maximum of 200,000 euros, and such a financial injection can significantly impact the increase of knowledge transfer from scientific institutions to the private sector. Such competitions and financial incentives allow young researchers to turn their ideas into reality and thus influence the further development of the Croatian economy.
– We are currently waiting for the results of the competition for research and development support, which will enable us to develop the first fully autonomous so-called ‘water-spider’. This is a collaborative robot used for manual operations when workers are overloaded, taking on part of the burden. However, we will be able to say more about this if we are granted funding and when the system is fully developed – states Assistant Professor Hegedić.
Darko Liović, CEO of Impuls Consulting, emphasizes that he has been collaborating with Miro Hegedić’s team for years and is very satisfied with the results achieved so far. Many clients of Impuls Consulting have worked with FSB, he added, and everyone wants to work together again.
– When Petar Gregurić and Miro Hegedić approached us with a ‘pitch’ for an autonomous management system for manufacturing companies, I immediately recognized the potential. Primarily from a business perspective, as I believe it can be a commercially viable venture, but also because I am enrolled in a doctoral program at FSB and am dealing with this area. We helped them with the application for the spin-off competition and eagerly await the results – says Liović.
Managerial Difficulties
The project ‘Development of ESARP – an expert system for automated management of processes’ is planned to be implemented over 24 months with the aim of conducting research and development activities to develop a system intended for new generation companies primarily engaged in line and serial production. Such productions are now largely automated and robotized with a small share of human labor in repetitive tasks.
The expert system will make business decisions while simultaneously considering all business functions in the company, taking into account the interdependence of all business decisions in the company and selecting the best business choices at any given moment.
In this way, key performance indicators (KPIs) set by the company owner will be achieved, which do not necessarily have to be related to profit increase but can be set differently. For example, increasing market share, achieving the lowest product price in the market, achieving full employment, or sufficient market supply. Predictive analytics will also be applied in the business decisions of the manufacturing company by analyzing historical data such as market price movements in procurement and sales, predicting consumer habits and preferences in the market, and trends. For successful business operations, experts from FSB are convinced that it is essential to utilize the capabilities of machine learning and artificial intelligence in interaction with humans.
