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Evaluating potential impact of industry 4.0 technologies on supply chains of the future

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Digitalization and Industry 4.0 play a big role in the current world of globalized supply chains which are becoming more and more complex and require real time data based decisions to enable highly responsive measures needed to supply goods from point of origin to point of sale or use. Various concepts such as IoT, 3D printing, CPS, AR, autonomous driving etc. can be related to Industry 4.0. This paper focuses on examining and cross comparing eight technologies related to industry 4.0 that enables more responsive supply chain management activities. It also discusses the impact of industry 4.0 on future supply chains.
Wydawca
Rocznik
Strony
77--86
Opis fizyczny
Bibliogr. 35 poz., tab.
Twórcy
autor
  • University of Maribor, Faculty of Logistics, Slovenia
  • Czestochowa University of Technology, Poland
  • University of Maribor, Faculty of Logistics, Slovenia
Bibliografia
  • 1.Adisak, S., 2020. Logistics service innovation for business growth: a case study of logistics service entrepreneurs, Polish Journal of Management Studies 21(1), 394-407. DOI: 10.17512/pjms.2020.21.1.29
  • 2.Amanullah, A. M., Habeeb, A. A. R., Nasaruddin, H. F. et al., 2020. Deep learning and big data technologies for IoT security, Computer Communications, 151, 495-517, DOI: 10.1016/j.comcom.2020.01.016
  • 3.Arababian, E. M., Wgner, R. M., 2020. The impact of 3D printing on manufacturer - retailer supply chains, European Journal of Operational Research, 285(2), 538-552, DOI: 10.1016/j.ejor.2020.01.063
  • 4.Ayers, B. J., 2006. Handbook of Supply Chain Management: Second Edition. Auerbach Publication.
  • 5.Bezai, E. N., Medjdoub, B., Al-Habaibeh, A., Chalal, L.M., Fadil, F., 2020. Future cities and autonomous vehicles: analysis of the barriers to full adoption, Energy and Built Environment, 1-52, DOI: 10.1016/j.enbenv.2020.05.002
  • 6.Dossou, P. E., 2018. Impact of Sustainability on the supply chain 4.0 performance Paul Eric Dossou, Procedia Manufacturing, 17, 452-459, DOI: 10.1016/j.promfg.2018.10.069
  • 7.Drljača, M., 2019. Reversible Supply Chain in function of competitiveness, Production Engineering Archives, 22(22), 30-35, DOI: 10.30657/pea.2019.22.06
  • 8.Janner, T., Schroth, C., 2007. Web 2.0 and SOA: Converging Concepts Enabling the Internet of Services, IT Professional, 9(3), 36-41, DOI: 10.1109/MITP.2007.60
  • 9.Kain, R., Verma, A. 2018. Logistics Managament in Supply Chain – An Overview, Materials Today: Proceedings, 5(2), 3811-3816, DOI: 10.1016/j.matpr.2017.11.634
  • 10.Klimecka-Tatar, D., 2018. Context of production engineering in management model of Value Stream Flow according to manufacturing industry, Production Engineering Archives, 21(21), 32-35, DOI: 10.30657/pea.2018.21.07
  • 11.Klimecka-Tatar, D., Dwornicka, R., 2019. The assembly process stability assessment based on the strength parameters statistical control of complex metal products, METAL 2019 - 28th International Conference on Metallurgy and Materials, Conference Proceedings, DOI: 10.37904/metal.2019.870
  • 12.Klimecka-Tatar, D., Ingaldi, M., 2020. How to indicate the areas for improvement in service process - the Knowledge Management and Value Stream Mapping as the crucial elements of the business approach, Revista Gestão & Tecnologia 20(2):52-74, DOI: 10.20397/2177-6652/2020.v20i2.1878
  • 13.Lasi, H., Fettke, P., Kemper, H., Feld, T., Hoffmann, M., 2014. Industry 4.0, Business & Information Systems Engineering, 6(4), 239-242, DOI: 10.1007/s12599-014-0334-4
  • 14.Lee, J., Bagheri, B., Kao, H. A., 2015. A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18-23. DOI: 10.1016/j.mfglet.2014.12.001
  • 15.Liao, Yongxin; Deschamps, Fernando; Rocha Loures, Eduardo de Freitas; et al., 2017. Past, Present And Future Of Industry 4.0-A Systematic Literature Review And Research Agenda Proposal, International Journal of Production Research, 55(12), 3609-3629, DOI: 10.1080/00207543.2017.1308576
  • 16.Lopik, K., Sinclar, M., Sharpe, R., Conway, P., West, A., 2020. Developing augmented reality capabilities for industry 4.0 small enterprises: Lessons learnt from a content authoring case study, Computers in Industry, 117, 1-8, DOI: 10.1016/j.compind.2020.103208
  • 17.Lourenco, D. R. H., 2001 Supply Chain Management: An Opportunity for Metaheuristics. SSRN Electronic Journal, 538. DOI: 10.2139/ssrn.273425
  • 18.Luthra, S., Mangal, K. S., 2018. Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies, Process Safety and Environmental Protection, 117, 168-179, DOI: 10.1016/j.psep.2018.04.018
  • 19.Manavalan, E., Jayakrishna, K., 2019. A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements, Computers & Industrial Engineering, 127, 925-953, DOI: 10.1016/j.cie.2018.11.030
  • 20.Mordue, G., Yeung, A., Wu, F., 2020. The looming challenges of regulating high level autonomous vehicles, Transportation Research Part A: Policy and Practice, 132, 174-187, DOI: 10.1016/j.tra.2019.11.007
  • 21.Müller, M. J., Voigt, K. I., 2018. The Impact of Industry 4.0 on Supply Chains in Engineer-to-Order Industries - An Exploratory Case Study, Exploratory Case Study, 51(11), 122.127, DOI: 10.1016/j.ifacol.2018.08.245
  • 22.Nee, A.Y.C., Ong, S.K., Chryssolouris, G., Mourtzis, D., 2012. Augmented reality applications in design and manufacturing, CIRP Annals, 61(2), 657-679, DOI: 10.1016/j.cirp.2012.05.010
  • 23.Oesterrich, D. T., Teuteberg, F., 2016. Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry, Computer in Inustry, 83, 122. DOI: 10.1016/j.compind.2016.09.006
  • 24.Rojko, A., 2017. Industry 4.0 Concept: Background and Overview, ECPE European Center for Power Electronics e.V, 11(5), 77-88, Doi: https://onlinejournals.org/index.php/i-jim/article/view/7072/4532
  • 25.Schröder, M., Indorf, M., Kersten, W., 2014. Industry 4.0 and its impact on supply chain risk management. Proceedings of the 14th International Conference “Reliability and Statistics in Transportation and Communication, 15-18.
  • 26.Schroth, C., 2007. The internet of services: Global industrialization of information intensive services, 2nd International Conference on Digital Information Management, 2007, 635-642, DOI: 10.1109/ICDIM.2007.4444296
  • 27.Siems, F. T., 2005. Supply chain management: the science of better, faster, cheaper. The Southwest Economy, 2, 7-12.
  • 28.Stevens, G., 1989. Integrating the Supply Chain, International Journal of Physical Distribution & Materials Management, 19(8), 3-8, DOI: 10.1108/EUM0000000000329
  • 29.Sun, P., 2020. Security and privacy protection in cloud computing: Discussions and challenges, Journal of Network and Computer Applications, 160, str. 2-22. DOI: 10.1016/j.jnca.2020.102642
  • 30.Tay, I. S., Chuan, T. L., Aziati, N. A. H., Aziat, A. N. A., 2018. An overview of Industry 4.0: Definition, Components, and Government Initiatives, Journal of Advanced Research in Dynamical and Control Systems, 10(14), 1379-1385.
  • 31.Tjahjono, B., Esplugues, C., Ares, E., Pelaez, G., 2017. What does Industry 4.0 mean to Supply Chain? Procedia Manufacturing, 13, 1175-1182, DOI: 10.1016/j.promfg.2017.09.191
  • 32.Wang, M., Zhang, Q., 2020. Optimized data storage algorithm of IoT based on cloud computing in distributed system, Computer Communications, 157, 127-131, DOI: 10.1016/j.comcom.2020.04.023
  • 33.Wolniak, R., 2020. Main functions of operation management, Production Engineering Archives 26(1), 11-14, DOI: 10.30657/pea.2020.26.03
  • 34.Zhang, X., Ming, X., Yin, D., 2020. Application of industrial big data for smart manufacturing in product service system based on system engineering using fuzzy DEMATEL, Journal of Cleaner Production, 265, 1 – 25, DOI: 10.1016/j.jclepro.2020.121863
  • 35.Zhong, Ray Y., Xu, Xun, Klotz, Eberhard, Newman, S.T., 2017. Intelligent Manufacturing in the Context of Industry 4.0: A Review, ENGINEERING, 3(5), 616- 630, DOI: 10.1016/J.ENG.2017.05.015
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-45a48a79-7ad0-4a3a-94e4-d8be38ed41b3
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