Management and quality science

1. Institutionalization of project management processes and practices in start-ups: from improvisation to implementation of project governance

Supervisor: dr hab. inż. Alina Kozarkiewicz, prof. AGH

Faculty of Management

Summary of research problem: Firms of rapid growth in the initial phases of life cycle commonly referred to as the start-ups, constitute an important research field due to their economic significance, first of all from in the creation and diffusion of technological innovations. The activities carried out by start-ups are project-oriented, besides they consist mainly of experimenting, testing, and exploration. The aim of the research performed within the proposed area is to discover and depict the processes of institutionalization, i.e. the regulatory processes allowing for the transition from non-formal, improvised and intuitive activities towards customized structuring and standardization. In this sense, project governance means a coherent, coordinated model of project management. In the case of a start-up, such a model is adapted to the particular requirements of the organization, and routines, practices or procedures of project management are adapted to the dynamic nature of the changes.

This research field allows asking various specific research questions related to the course, conditions or effects of institutionalization processes when using various research strategies typical of social research. Research can be based on longitudinal or cross-sectional studies. The studies could be aimed at understanding the impact of endo- and exogenous contingencies of institutionalization, efficiency or perception of success, as well as at the discovery of factors determining, catalysing or constituting barriers to the process of regulation and introduction of project governance. Moreover, the specific factors affecting the adaptation of practices, procedures or methodologies can be investigated. This research area can be assessed in terms of both: theory-building perspective as well as application perspective related to the possible enhancements in project management in young enterprises.

Research facilities: Research process is based on so-called field studies. The access to the software supporting specific research methods, such as bibliometric literature research, qualitative (analysis of interviews) or quantitative (statistical) research can be provided.

Number of places: 1

 

2. Development of a complex intelligent concept of parking management..

Supervisor: dr hab. inż. Jerzy Mikulik, prof. AGH

Faculty of Management

Abstract: The research issue includes the development of a complex intelligent concept of parking ground management adapted to the current needs of the rentier / owner. The new solution will take into account the current status of employees, recognize their cars and assign space, depending on the selected key (car size, time of entry, urgent need). In addition, there will be places for guests in the car park, which will also be reserved according to a special key, which will allow for the smooth exchange of cars and will not generate empty (unused) parking space. The solution will not allow the parking lot to overflow, which may block the internal road (entry or exit). An additional advantage will be the possibility of calculating for employees parking charges depending on the size of the car, the number of real parking hours, possible failures at parking and hourly ranges. In addition, there will be gratuities for persons releasing space in declared hours, which will not cause unplanned updates of the deployment program. The developed solution will allow application implementation for various car parks: small and large, single or multi-level, external and internal. Taking into account the financial and marketing realities, this solution must be cheap in implementation and possible adjustments. It should also allow to increase the passive amount of actually available parking space by minimum 20%. Improvement in the area of using parking spaces will contribute to reducing exhaust emissions to the atmosphere because it will reduce the time of active waiting for a place and will partially eliminate the phenomenon of searching by drivers by moving around in the parking area and between parking lots of free parking space. The assumed minimum parking lot size for the solution being developed is 40 places.

Research facilities: The Faculty of Management, Department of Management Engineering, has research staff who has experience in developing innovative systems for property management. Above all, the Head of the Department dr hab. eng. Jerzy Mikulik prof. AGH has many years of experience with so-called intelligent buildings and intelligent parking is a development of the concept of "Smart management" in relation to smart real estate.

Number of places: 1

 

3. Development and implementation of a circular economy business model in the food industry enterprise of the Maspex Group.

Supervisor: dr hab. Joanna Kulczycka, prof. AGH

Second supervisor: prof. dr hab. Inż. Tadeusz Uhl

Faculty of Management

Abstract: Implementation the Circular Economy (CE) idea is a multi-faceted task. It mainly concerns the limitation of the volume of consumed resources and limiting the stream of waste and emissions throughout the whole supply chain, which allows maintaining or increasing the value of the enterprise. This applies not only to the implementation of eco-innovative technological solutions, but above all organizational and new business models. The purpose of the dissertation is to develop and design a circular business model for the Maspex company and to formulate recommendations regarding the possibilities of its implementation. The analysis will be supplemented with a proposal of a set of methods and tools to streamline the management process in accordance with the Circular Economy (CE) idea and the proposal of indicators for measuring the effectiveness and efficiency of the implemented technological and organizational solutions. The following specific objectives will be realized as part of the dissertation:

Identification of the main factors and barriers to the implementation of CE in Maspex

Assessment of the organizational solutions in the value chain that can be implemented, enabling transformation towards CE together with the proposed indicators,

Evaluation of technological solutions that can be implemented enabling transformations towards CE together with the proposed indicators

Hierarchy of the proposed solutions in the context of effectiveness and efficiency as well as possible social benefits

Development of the CE business model for Maspex and its testing

Implementation of the proposed model

Number of places: 1

 

4. The Offshore Energy Projects Management Model (Baltic Sea).

Supervisor: dr hab. inż. Ewa Beck-Krala

Second supervisor: prof. dr hab. inż. Maciej Kaliski

Faculty of Management

Abstract: The research issue concerns the modeling of the integration of processes related to the production of infrastructure components of the offshore industry (OFFSHORE), construction and supply chain management of investments of a high degree of complexity implemented and planned for the Baltic Sea, especially the Polish offshore economic zone. In order to effectively prevent the risk of investment failure, the question should be answered as to why most projects in the offshore energy industry are not delivered in designed schedule. The result of delays in the delivery of many offshore industry investments does exposure to a number of risk groups not considered in the analyzes from the phase of making final investment decisions (FID).  Current activities aimed at obtaining energy sources using offshore installations indicate a high development trend of this area of ​​activity. In the light of the planned investments related to the OFFSHORE infrastructure (including Maritime Wind Energy, expansion of infrastructure on the B8 oil and gas field and construction of infrastructure on the B4 / B6 gas fields), the research issues may be important also in the aspect of the State's energy security. Also in order to build the competitiveness of Polish companies that can participate in the offshore supply chain, it is important to develop a project management model dedicated to investments implemented in the Polish economic zone based on resource management, competing with the simultaneous fulfillment of quality and cost requirements.

Research facilities: The Faculty of Management at AGH University of Science and Technology has access to rich literature and electronic databases as well as experience in conducting research work in the field of project and risk management (also in in the energy industry). Moreover, The Department of Gas Engineering has a wide laboratory base and experience in conducting research in the field of transport of gaseous fuels. The experience gained comes from the implementation of research grants and work carried out on behalf of the fuel sector companies.

Number of places: 1

 

5. Methods, concepts, and tools in quality  and reliability management of products, objects, systems

Supervisor: dr hab. inż. Jerzy Feliks

Faculty of Management

Abstract: The problem of ensuring the proper quality of products, services and methods of its effective control are challenges that entrepreneurs face on a daily basis. Also, the problem of ensuring the continuity of the product’s flow across whole supply chains and networks (reliability) throughout supply chains, networks, and production systems is becoming more and more important. Quality standards recommend the use of methods based on the concept of a risk-based supplier selection process that includes risk assessment of the selected supplier for product quality compliance and uninterrupted, reliable product delivery to customers. Therefore, each organization must cascade all applicable requirements down the whole supply chain, which requires the use of special methods. The resistance of logistics networks is imposed on this type of activity. The robustness of logistic networks can be seen as the degree to which a logistic system is affected by sources of risk and is susceptible to damage, damage or distortions. The risk within the logistics network occurs when unexpected events disrupt the flow of materials from the initial suppliers to end customers. The aim of work on this issue will be the development of new concepts, quality assurance and reliability systems as well as methods for assessing quality, reliability and resilience, and designing decision support systems, eg in the implementation of resilience supply chains.

Research facilities: The AGH UST Faculty of Management, in which the research projects will be conducted, has appropriate organizational, hardware and software resources enabling their realization by PhD students. It is also possible to cooperate with PhD students in the research projects and/or industrial works carried out for business units.

Number of places: 3

 

6. Use of nevel computational methods in modelling, simulation and optimization of supply chains

Supervisor: dr hab. inż. Marek Karkula

Faculty of Management

Abstract: Currently, companies wishing to be competitive must have the ability to quickly adapt their processes and services in supply chains to the individual, dynamically changing needs of customers and contractors and to general trends in the market. Production, logistics, transport or distribution systems as parts of these chains are usually complex systems characterized by dynamics, multidimensionality, unpredictability and having features of dynamic, large and heterogeneous networks. Taking into account these characteristics, it is necessary to use advanced computational techniques to analyse their behaviour and predictive behaviour in the future. Apart from the computational complexity of the issues, the problem is also the quality of data used to make the right decisions. It should be mentioned that many companies, despite the fact that they collect large data sets, are not able to effectively use them in the context of decisions related to planning and optimization of supply chains. Recent research indicates a great potential for the use of machine learning or artificial intelligence methods and tools in this area. The aim of this research issue will be to develop new computational methods and their use in decision making in supply chains. The research work may be theoretical, methodological or practical in nature - research proposals focused on real-world supply chains and their conditions (constrains, different optimisation criteria, etc.) will be especially welcomed.

Research facilities: The AGH UST Faculty of Management, in which the research projects will be conducted, has appropriate organizational, hardware and software resources (for modelling, simulation and optimization) enabling their realization by PhD students. It is also possible to cooperate with PhD students in the research projects and/or industrial works carried out for business units.

Number of places: 3

 

7. Theory and practice of human resource management and organizational behavior

Supervisor: dr hab. Dagmara Lewicka prof. AGH

Auxiliary supervisor: Barbara Józefowicz

Abstract: This research topic deals with human resources management (HRM) understood as a system of integrated activities aimed at development of employees' competences and engagement in order to obtain a higher level of satisfaction with participation in the organization and work efficiency, and organizational behaviors aimed at explaining and stimulating the behavior of employees beneficial to organizations such as innovative behaviors, citizenship behaviors or behavior that supports changes. These research areas are closely related due to the fact that it is the organizational practices, in particular the HRM practices, which influence the behavior of both individuals, groups and entire organizations. Therefore, the research topic focuses mainly on creating organizational conditions for identification, trust, engagement, and experiencing positive emotions in the workplace. In addition, to reduce the risks of the work environment such as: excessive workload, injustice, discrimination and others. Relationships of these issues are based on the following theories: AMO, Positive Organizational Scholarship, Social exchange Theory and others.

Research facilities: Currently, there are no studies on this topic within the framework of grants obtained through external competitions. However, it is planned to apply for grants as part of NCN competitions. The methodology of these projects includes: systematic literature review, quantitative research using statistical data analysis methods and qualitative research. No specialized test equipment is required to implement this research topic.

Number of places: 2

 

8. Theory and practice of organization reporting and measurement of corporate performance.

Supervisor: dr hab. Bogusława Bek- Gaik prof. AGH

Abstract: This research topic deals with the theory and practice of reporting the organization and its internal conditions. Currently, due to the dynamic development of the non-financial information trend, we are observing the growing complexity and the breadth of various organizations' reports, attempting to combine social and environmental disclosures with financial disclosures. In contrast to previous disclosures on social and environmental issues presented in the annual reports, where information from these areas was not integrated with financial information, new forms of reports seek to integrate information on social, environmental, financial and corporate governance issues. . Undoubtedly, the most developed reporting form presenting financial and non-financial information in one document is the integrated report. Although integrated reporting is a relatively new area of ​​organization reporting, both theoretical and practical research on this subject has developed rapidly. However, it is still a subject of much controversy and still not having a uniform form of reporting. It is emphasized that the integrated report may bring many benefits to companies and stakeholders - improvement of the process of stakeholder engagement and integrated thinking and lead to changes in corporate behavior as well as raising reputation and corporate performance. The new reporting forms are also intended to facilitate the measurement of the corporate performance and its valuation. The research topic focuses mainly on the information policy of organizations and internal conditions introducing new reporting forms and factors determining their development.

Research facilities: Currently, there are no studies on this topic within the framework of grants obtained through external competitions. However, it is planned to apply for grants as part of NCN competitions. The methodology of these projects includes: systematic literature review, quantitative research using statistical data analysis methods and qualitative research. No specialized test equipment is required to implement this research topic.

Number of places: 1

 

9. Strategies, concepts, instruments for environmental protection management – case study, sectoral analysis, macroeconomic analysis

Supervisor: dr hab. inż. Mariusz Kudełko, prof. AGH

Abstract: The research goal is to define and solve problems related to effective and efficient management of environmental protection. The research topics will concern environmental management issues in the scale of enterprises, economic sectors (such as energy, mining) and the entire economy. Research areas are strategies, concepts and instruments that allow solving the environmental challenges facing the modern economy in such areas as air and water quality, environmental waste storage, ecosystems, etc. Methods for solving defined dilemmas are statistical analysis, cost-benefit analysis, modeling approach.

Number of places: 3

 

10. The Effect of Business Model Innovation on Corporate’s Performance

Supervisor: dr hab. inż. Anna Surowiec

Abstract: Business model innovation is of key importance for today's enterprises. Determining the impact of the business model innovation on corporate’s performance allows increasing effectiveness. As part of the research, an attempt will be made to identify business models functioning in Polish companies by the analysis of external disclosures, in particular new forms of reporting, such as integrated reports, as well as an attempt to determine the effectiveness of business models innovation. The aim of the research is to develop a model that allows identification of the impact of business model innovation on the improvement of the company's performance, expressed, among others, in revenue growth, improved efficiency and organizational capabilities. These studies will enriched knowledge on the link between business model innovation and performance improvement.

Research facilities: Currently, there are no studies on this topic within the framework of grants obtained through external competitions. However, it is planned to apply for grants as part of NCN competitions. The methodology of these projects includes: systematic literature review, quantitative research using statistical data analysis methods and qualitative research. No specialized test equipment is required to implement this research topics.

Number of places: 1

 

11. Making decisions with the help of mathematical programming

Supervisor: dr hab. inż. Waldemar Kaczmarczyk

Abstract: Mathematical programming enables simultaneous making of many complex, related decisions in such a way that they meet all the requirements. Sometimes such action is defined as optimization or planning. The most commonly used is mixed integer (linear) programming (MIP). This is currently the basic tool used in planning in all areas of human activity, from production planning, through the design of telecommunication or energy systems, or adaptation of anti-cancer therapy to the individual needs of each patient, to machine learning. In this field, precise description of the problem and proper selection of solution methods are of key importance. Modern solvers are able to "refine" the model themselves, but they will do it much better when it directly and "precisely" describes key decisions and dependencies between them. The PhD student's task is to collect data, build a model and test it using selected methods. Professional solving from Gurobi and/or IBM ILOG CPLEX will be used in the work. A precondition for starting cooperation is to agree on the considered decision problem. If the candidate does not have a proposal, he will be offered a problem in the field of production and logistics planning. The candidate should know the basics of algebra, mathematical logic, probability, statistics and programming.

Number of places: 2

 

12. Making decisions with the help of heuristic algorithms

Supervisor: dr hab. inż. Waldemar Kaczmarczyk

Abstract: Heuristic algorithms enable the simultaneous making of many complex, related decisions in such a way that they meet all the requirements. Sometimes such action is defined as optimization or planning. Heuristic algorithms are used when exact optimization methods, e.g., mathematical or dynamic programming, need too much time to solve a problem. Most important are the metaheuristic algorithms, e.g., taboo search, simulation annealing, evolutionary or genetic algorithms. This is the basic tool by which various optimization tasks are solved, from scheduling production, transport or sports games, through control of energy systems, to machine learning. A precondition for starting cooperation is to agree on the considered decision problem. If the candidate does not have a proposal, he will be offered a problem in the field of production and logistics planning. The candidate should know the basics of graph theory, algebra, mathematical logic, probability theory and statistics. The most important, however, is the knowledge of the basics of algorithms and the ability to code with help of procedural programming. No specific language is required.

Number of places: 2

 

13. Models and algorithms for production and logistics planning

Supervisor: dr hab. inż. Waldemar Kaczmarczyk

Abstract: Currently, most enterprises already have IT systems that collect various data about all its operational activities, from procurement, through production, to distribution. So the time has come to use it skillfully and to increase the efficiency of their operations, e.g., to reduce production costs, delivery times, or to meet the deadlines more accurately. Many of the issues discussed concern management in supply chains. The PhD student's task will be to build a model of the process under consideration, identify the causes of low efficiency, and possibly select a better method of process control. The candidate should know the basics of algebra, mathematical logic, probability and statistics. It is possible to use queue theory, mathematical programming and heuristic algorithms. A precondition for cooperation is to agree on the specific planning problem and methods used to solve it.

Number of places: 2