Jacek Kozyra | Innovative Research Award | Industrial Engineering

Published on by Academic Achievements

Innovative Research Award

Jacek Kozyra
Casimir Pulaski Radom University, Poland

Jacek Kozyra
Affiliation Casimir Pulaski Radom University
Country Poland
Scopus ID 57192208823
Documents 52
Citations 135
h-index 6
Subject Area Industrial Engineering
Event International Academic Achievements & Awards
ORCID 0000-0002-6660-6713

Jacek Kozyra of Casimir Pulaski Radom University, Poland, is recognized in the context of the Innovative Research Award for research associated with industrial engineering, decision-support methods, and the selection of after-sales service providers for complex products. His research profile includes 52 indexed documents, 135 citations, and an h-index of 6 according to the supplied Scopus profile information. His work titled “Selecting after sales provider of complex product based on game and matching framework” addresses the methodological challenge of selecting suitable service partners when complex products require coordinated technical, organizational, and relationship-based support.

Abstract

The research associated with “Selecting after sales provider of complex product based on game and matching framework” considers the selection of an after-sales service provider as a structured decision problem involving multiple stakeholders and competing requirements. For complex products, after-sales activities may include maintenance, technical assistance, spare-parts coordination, troubleshooting, lifecycle support, and other specialized services. Provider selection therefore requires more than a simple cost comparison and may benefit from systematic approaches that account for compatibility, strategic interaction, and matching between customer requirements and provider capabilities.

The integration of game-theoretic and matching perspectives provides a framework for examining interactions between participants while identifying potentially suitable provider–customer relationships. Such approaches are relevant to industrial engineering because supplier and service-provider selection commonly involves multiple criteria, uncertainty, and interdependent decisions. The work contributes to the broader discussion of analytical decision support for complex industrial service systems.

Keywords

Keywords: innovative research, after-sales service, complex products, provider selection, industrial engineering, game theory, matching framework, decision support, service management, supplier selection, lifecycle services, industrial systems.

Introduction

After-sales service is an important component of complex-product lifecycle management because the value delivered by an industrial product may depend on continuing technical support, maintenance, availability, and service responsiveness. In such environments, the choice of an after-sales provider can influence operational continuity, service quality, lifecycle cost, and customer satisfaction. Multi-criteria decision-making literature recognizes supplier and provider selection as a structured problem in which quantitative and qualitative factors may need to be evaluated together.[2]

Game theory provides analytical concepts for situations in which the outcome for one participant may depend on the decisions of other participants. Matching theory, meanwhile, offers a framework for studying the formation of mutually suitable relationships between different sets of participants. Their combination can therefore provide a useful conceptual basis for provider-selection problems where customer requirements and provider capabilities must be considered simultaneously.[3]

Research Profile

Jacek Kozyra is affiliated with Casimir Pulaski Radom University in Poland and is associated with the subject area of Industrial Engineering. The supplied research metrics identify 52 documents, 135 citations, and an h-index of 6. These indicators provide a bibliometric snapshot of indexed research activity and should be interpreted within the coverage and updating practices of the relevant bibliographic database.[1]

  • Researcher: Jacek Kozyra
  • Institution: Casimir Pulaski Radom University
  • Country: Poland
  • Primary subject: Industrial Engineering
  • Scopus documents: 52
  • Scopus citations: 135
  • h-index: 6

Research Contributions

The study of after-sales provider selection for complex products contributes to industrial engineering research by treating service-provider choice as a decision problem that can involve several interacting dimensions. Rather than viewing selection as a single ranking exercise, the game-and-matching perspective considers the relationships among participants and the compatibility between service needs and provider capabilities.

The principal methodological contribution can be understood through several interconnected elements:

  • Formulation of after-sales provider selection as a structured industrial decision problem.
  • Application of game-theoretic reasoning to situations involving interdependent participant decisions.
  • Use of matching concepts to examine compatibility between service requirements and provider capabilities.
  • Support for more systematic evaluation of provider alternatives in complex-product environments.
  • Integration of analytical decision support with practical service-management considerations.

The approach is consistent with broader research on decision-making and operations management, where analytical frameworks are used to improve the transparency and consistency of complex selection processes.[2]

Publications

The supplied publication information identifies the following research contribution as particularly relevant to the present recognition profile:

  • Jacek Kozyra. “Selecting after sales provider of complex product based on game and matching framework.” Research concerning analytical selection of after-sales providers for complex products.

The complete publication record should be consulted through the researcher’s indexed profile for authoritative bibliographic details, publication years, co-authors, citation counts, and persistent identifiers. The Scopus author record is available through the external profile listed below.[1]

Research Impact

Research on after-sales provider selection has practical relevance for organizations managing complex products because service decisions can affect lifecycle performance, operational continuity, maintenance arrangements, and customer relationships. A structured provider-selection framework may help organizations compare alternatives according to defined requirements rather than relying exclusively on isolated cost or performance indicators.

From an academic perspective, the integration of game-theoretic and matching concepts connects decision analysis with service and industrial systems research. Game theory is widely used to analyze strategic interaction, while matching frameworks provide formal tools for studying compatibility and allocation among participants.[3] Such interdisciplinary positioning is relevant to contemporary industrial engineering, particularly where technical systems increasingly depend on coordinated service networks.

Award Suitability

The research profile is relevant to the Innovative Research Award because the identified work addresses a complex industrial decision problem through a framework combining game-theoretic and matching perspectives. The topic demonstrates methodological relevance to industrial engineering and decision-support research while addressing a practical challenge in the management of after-sales services for complex products.

Based on the supplied information, the following aspects support consideration within an innovation-oriented research category:

  • Research relevance: Direct connection with industrial engineering and complex-product service management.
  • Methodological innovation: Combination of game and matching concepts for provider-selection analysis.
  • Practical applicability: Potential usefulness for organizations selecting and managing after-sales service providers.
  • Interdisciplinary perspective: Connection of decision theory, service management, operations, and industrial engineering.
  • Research visibility: The supplied Scopus profile records 52 documents and 135 citations.

Award consideration should ultimately be based on the applicable evaluation criteria, supporting evidence, originality, scholarly quality, and independent assessment by the relevant award committee.

Conclusion

Jacek Kozyra’s research profile at Casimir Pulaski Radom University reflects work in Industrial Engineering with a focus on analytical approaches to complex decision problems. The research concerning the selection of after-sales providers through a game and matching framework addresses an important intersection of industrial service management, decision support, and strategic interaction.

The combination of provider compatibility and strategic decision analysis offers a relevant perspective for complex-product service environments. With the supplied bibliometric profile of 52 documents, 135 citations, and an h-index of 6, the researcher has an identifiable indexed research record. The profile is therefore suitable for consideration within an academic recognition framework emphasizing methodological contribution and applied industrial research.

References

  1. Elsevier. (n.d.). Scopus author details: Jacek Kozyra, Author ID 57192208823. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57192208823
  2. Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83–98.https://doi.org/10.1504/IJSSCI.2008.017590
  3. Roth, A. E. (1984). The evolution of the labor market for medical interns and residents: A case study in game theory. Journal of Political Economy, 92(6), 991–1016.https://doi.org/10.1086/261272
  4. ORCID. (n.d.). Jacek Kozyra — ORCID record. ORCID.https://orcid.org/0000-0002-6660-6713
  5. International Academic Achievements & Awards. (n.d.). Academic recognition and award information.https://academicachievements.org

TRAN THI BICH CHAU VO | Industrial Engineering and Management | Excellence in Innovation

Published on by Academic Achievements

Ms . TRAN THI BICH CHAU VO | Industrial Engineering and Management | Excellence in Innovation 

PhD Candidate , National Kaohsiung University of Science and Technology , Taiwan

Tran Thi Bich Chau VO is a dedicated academic and researcher in Industrial Engineering and Management. Currently a lecturer at Can Tho University, she brings extensive experience in process improvement and lean manufacturing. Her work focuses on enhancing processing efficiency through advanced engineering methods.

Profile

Scopus

Strengths for the Award

  1. Diverse Research Experience: Tran Thi Bich Chau Vo has a rich background in industrial engineering and management, with specific expertise in lean manufacturing, workflow process reengineering, and value stream mapping. Her work spans various industries, including garment manufacturing and aquaculture, demonstrating versatility and the ability to apply innovative techniques across different fields.
  2. Significant Research Contributions: Her publications reflect a strong commitment to advancing knowledge in industrial processes and environmental management. Notable works include her contributions to improving manufacturing processes and her involvement in projects related to green waste management and smart manufacturing.
  3. Leadership and Project Management: Vo has led several research projects, including those funded by Can Tho University and international grants. Her roles in projects like “Improvement of Pangasius Fillet Producing Line based on Lean Manufacturing” and “Genetic algorithm-based optimal locations for apparel logistics” showcase her ability to drive innovative solutions and manage complex research initiatives.
  4. International Collaboration: Her involvement in international projects, such as the Erasmus-funded green waste management project, indicates a collaborative approach and engagement with global research communities.
  5. Educational and Professional Background: Vo’s academic qualifications, including her Ph.D. in Industrial Engineering and Management, and her practical experience in both academia and industry, provide a solid foundation for her innovative research endeavors.

Areas for Improvement  

  1. Broader Innovation Impact: While Vo has demonstrated significant contributions to industrial and environmental processes, expanding her research impact into emerging technologies or interdisciplinary areas could further strengthen her profile. Exploring innovations in fields like artificial intelligence or digital transformation could enhance her contributions to cutting-edge research.
  2. Enhanced Public Engagement: Increasing the visibility of her research through popular science publications, media engagements, or public talks could broaden the reach and impact of her work. Engaging with a wider audience could also help in disseminating innovative solutions to practical challenges.
  3. Collaborative Ventures: Expanding her network to include collaborations with industry leaders, startups, or other research institutions might offer new perspectives and resources for innovation. Such collaborations could lead to the development of novel solutions and technologies.

    Education 

    🎓 Tran Thi Bich Chau VO is pursuing a Ph.D. in Industrial Engineering and Management at the National Kaohsiung University of Science and Technology, Taiwan, expected to complete in December 2024. She holds a Master of Engineering in Industrial and Systems Engineering from Ho Chi Minh City University of Technology, Vietnam (2014), and a Bachelor of Engineering in Garment Technology and Fashion from Ho Chi Minh City University of Technology and Education, Vietnam (2011).

    Experience  

    💼 Tran has been a Lecturer at Can Tho University since August 2014. Previously, she served as Head of the Research & Development Department at Thanhcong Textile Garment Investment Trading Joint Stock Company (2012-2014) and worked in the Work Study Department at Garment Fashion Limited (2011-2012).

    Research Interests  

    🔬 Tran’s research interests include workflow process reengineering, lean manufacturing, and simulation techniques to improve processing efficiency. Her recent work explores value stream mapping and the optimization of manufacturing processes.

    Awards 

    🏆 Tran has led multiple successful projects including the improvement of production lines based on lean manufacturing and genetic algorithm-based optimization for apparel logistics. Her projects have received funding and recognition from Can Tho University and other institutions.

    Publications

    📝 Tran has authored several notable publications. Here are a few of her works:

    1. Wang, C. N., Vo, T. T. B. C., Hsu, H. P., Chung, Y. C., Nguyen, N. T., & Nhieu, N. L. (2024). Improving processing efficiency through workflow process reengineering, simulation, and value stream mapping: a case study of business process reengineering. Business Process Management Journal.
    2. Wang, C. N., Vo, T. T. B. C., Chung, Y. C., Amer, Y., & Truc Doan, L. T. (2024). Improvement of manufacturing process based on value stream mapping: a case study. Engineering Management Journal, 36(3), 300-318.
    3. Nguyen, N. T., Vo, T. T. B. C., Tran-Nguyen, P. L., Nguyen, M. N., Matsuhashi, R., Kim, K., & Vo, T. T. B. C. (2024). A comprehensive review of aeration and wastewater treatment. Aquaculture, 741113.
    4. Tien Nguyen, N., Tran-Nguyen, P. L., & Vo, T. T. B. C. (2024). Advances in aeration and wastewater treatment in shrimp farming: emerging trends, current challenges, and future perspectives. AQUA—Water Infrastructure, Ecosystems and Society, 73(5), 902-916.
    5. Vo, T. S., Hoang, T., Vo, T. T. B. C., Jeon, B., Nguyen, V. H., & Kim, K. (2024). Recent Trends of Bioanalytical Sensors with Smart Health Monitoring Systems: From Materials to Applications. Advanced Healthcare Materials, 2303923.

      Conclusion

      Tran Thi Bich Chau Vo is a strong candidate for the Research for Excellence in Innovation award due to her extensive experience, significant research contributions, and leadership in managing and executing innovative projects. Her diverse background and international collaboration highlight her capability to drive impactful research. To further enhance her candidacy, focusing on expanding her research into emerging technologies and increasing public engagement could provide additional value and recognition in the field of innovation.