JOAMS 2024 Vol.12(1): 8-13
doi: 10.18178/joams.12.1.8-13
doi: 10.18178/joams.12.1.8-13
An Exploratory Analysis of Supply Chain Contract on Efficiency, Simulation, and Data analytics Augmentation Technologies
Janne Heilala*, Antti Salminen, Wallace Moreira Bessa, and Jussi Kantola
Faculty of Technology, Mechanical Engineering, University of Turku, Finland
Email: janne.p.heilala@utu.fi (J.H.)
Email: janne.p.heilala@utu.fi (J.H.)
Manuscript received July 24, 2023; revised September 10, 2023; accepted November 1, 2023; published January 24, 2024.
Abstract—The European Manufacturing Survey 2022 (EMS22) evaluated the Finnish manufacturing industries between advanced manufacturing technologies and sustainability management systems in Finnish industrial companies. The profitability was compared under the Development of Competitiveness and Employment Situations (DCES) narrowed industry requirements. The study utilized EMS22 techno-organizational innovation indicators to measure performance components within manufacturing organizations. In the first part, the horizontal factors were considered thoroughgoingly with a literature review: significant growth in the Finnish industry between 2014-2018, the impacts of the COVID-19 pandemic, and the importance of integrating sustainable practices in manufacturing operations. In the second part, the EMS22 larger pool of respondees provided parities in statistical assumptions on a national scale. The implications of Supply Chain Contracts (SCC) on manufacturers and contract manufacturers were assessed in diverse Human Resources (HR) contexts by comparing the firms’ employee percentages. The findings highlight the critical role of adopting Efficiency Technologies (ET) and simulation, data analysis, and additive manufacturing technologies to enhance firms’ competitiveness in augmenting virtual and reality. Conversely, to expectations, companies were lagging in advanced technology adoption, particularly needing a focus on university resources-driven innovations. Firms lacking certified environmental management systems demonstrated reduced competitiveness. The survey underlines the importance of energy management systems for firms’ satisfactory performance. The future of research is headed for the determinants of competitiveness on a national scale by integrating business and artificial intelligence into sustainability strategies among exploring sustainable manufacturing.
Keywords—Industry 4.0, competitiveness, employment, supply chain contracts, human resources, simulation, data-analysis, additive manufacturing, energy management systems, environmental management systems
Cite: Janne Heilala, Antti Salminen, Wallace Moreira Bessa, and Jussi Kantola, "An Exploratory Analysis of Supply Chain Contract on Efficiency, Simulation, and Data analytics Augmentation Technologies," Journal of Advanced Management Science, Vol. 12, No. 1, pp. 8-13, 2024.
Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
Cite: Janne Heilala, Antti Salminen, Wallace Moreira Bessa, and Jussi Kantola, "An Exploratory Analysis of Supply Chain Contract on Efficiency, Simulation, and Data analytics Augmentation Technologies," Journal of Advanced Management Science, Vol. 12, No. 1, pp. 8-13, 2024.
Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.