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Increasing the role of sustainable production benefits in transforming manufacturing towards the sustainable organisation. The proposed model integrates two dimensions, namely, the Sustainable Business Model (SBM) and the Enterprise Resource Planning (ERP) system, and defines it as the SBM-ERP. This paper focuses attention on determining SBM-ERP based on the literature research, Fuzzy Analytical Hierarchy Process (F-AHP) method and the results of the analysis on the experiences with the implementation of the ERP system in manufacturing. It was determined that the proprietary approach allows the company’s sustainable manufacturing activities to be organised and monitored, based on real-time data and information, as updated and included in the ERP system. We also emphasized the practicality of the proposed approach for managers of manufacturing companies with an implemented ERP system.
Rocznik
Tom
Strony
art. no. e143829
Opis fizyczny
Bibliogr. 22 poz., rys., tab.
Twórcy
- University of Zielona Góra, Szafrana 4, 65-516 Zielona Góra, Poland
autor
- University of Zielona Góra, Szafrana 4, 65-516 Zielona Góra, Poland
autor
- Poznan University of Technology, M. Skłodowskiej-Curie 5, 60-965 Poznań, Poland
Bibliografia
- [1] J.H. Spangenberg, “Institutional sustainability indicators: an analysis of the institutions in Agenda 21 and a draft set of indicators for monitoring their effectivity,” Sustain. Dev. vol. 10, no. 2, pp. 1099–1719, 2002, doi: 10.1002/sd.184.
- [2] S. Schaltegger, E.G. Hansen and F. Lüdeke-Freund, “Business models for sustainability: Origins, present research, and future avenues,” Organ. Environ. vol. 29, no. 1, pp. 3–10, 2016, doi: 10.1177/1086026615599806.
- [3] F. Lüdeke-Freund, “Towards a conceptual framework of business models for sustainability,” in Proc. 14th European Roundtable on Sustainable Consumption and Production (ERSCP) & 6th Environmental Management for Sustainable Universities (EMSU), 2010, doi: 10.13140/RG.2.1.2565.0324.
- [4] A. Melkonyan, D. Gottschalk, and V.P. Kamath, “Sustainability assessments and their implementation possibilities within the business models of companies,” Sustain. Prod. Consump., vol. 12, pp. 1–15, 2017, doi: 10.1016/j.spc.2017.04.001.
- [5] L. Monostori, “Cyber-physical production systems: roots, expectations and R&D challenges,” Procedia CIRP, vol. 17, pp. 9–13, 2014, doi: 10.1016/j.procir.2014.03.115.
- [6] I. Barletta, M. Despeisse, S. Hoffenson, and B. Johansson, “Organisational sustainability readiness: A model and assessment tool for manufacturing companies,” J. Clean. Prod., vol. 284, p. 125404, 2021, doi: 10.1016/j.jclepro.2020.125404.
- [7] V. Prakash, C. Savaglio, L.Garg, S. Bawa, and G. Spezzano, “Cloud- and Edge-based ERP systems for Industrial Internet of Things and Smart Factory,” Procedia Comput, Sci,, vol. 200, pp. 537–545, 2022, doi: 10.1016/j.procs.2022.01.251.
- [8] S.L. Koh, A. Gunasekaran, and T. Goodman, “Drivers, barriers and critical success factors for ERPII implementation in supply chains: A critical analysis,” J. Strateg. Inf. Syst., vol. 20, no. 4, pp. 385–402, 2011, doi: 10.1016/j.jsis.2011.07.001.
- [9] J. Patalas-Maliszewska and S. Kłos, “The Methodology of the S-ERP System Employment for Small and Medium Manufacturing Companies,” IFAC-PapersOnLine, vol. 52, no. 10, pp. 85–90, 2019, doi: 10.1016/j.ifacol.2019.10.004.
- [10] B. Brenner, “Transformative sustainable business models in the light of the digital imperative – A global business economics perspective,” Sustainability, vol. 10, no. 12, p. 4428, 2018, doi: 10.3390/su10124428.
- [11] A.Y. Chang, Y.T. Cheng, “Analysis model of the sustainability development of manufacturing small and medium- sized enterprises in Taiwan,” J. Clean. Prod., vol. 207, pp. 458–473, 2019, doi: 10.1016/j.jclepro.2018.10.025.
- [12] A.G. Chofreh, F.A. Goni, J.J. Klemes, “Sustainable enterprise resource planning systems implementation: A framework development,” J. Clean. Prod., vol. 198, no. 10, pp. 1345–1354, 2018, doi: 10.1016/j.jclepro.2018.07.096.
- [13] A. Osterwalder and Y. Pigneur, Y., Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers. New Jersey: Wiley, 2010.
- [14] J. Patalas-Maliszewska, S. Kłos, and E. Dostatni, “Integrating the Assessment of Sustainability and an ERP System in Small and Medium Manufacturing Enterprise – a Case Study,” in Proc. International Scientific-Technical Conference MANUFACTURING, 2022, pp. 50–60, doi: 10.1007/978-3-030-99310-8.
- [15] A. Moldavska, and T. Welo, “A Holistic approach to corporate sustainability assessment: Incorporating sustainable development goals into sustainable manufacturing performance Evaluation,” J. Manuf. Syst., vol. 50, pp. 53–68, 2019, doi: 10.1016/j.jmsy.2018.11.004.
- [16] O.J. Fisher, N. Watson, L. Porcu, D. Bacon, M. Rigley, and R. Gomes, “Multiple target data-driven models to enable sustainable process manufacturing: An industrial bioprocess case study, ”J. Clean. Prod. vol. 296, p. 126242, 2021, doi: 10.1016/j.jclepro.2021.126242.
- [17] J. Patalas-Maliszewska, H. Łosyk, and M. Rehm, “Decision-Tree Based Methodology Aid in Assessing the Sustainable Development of a Manufacturing Company,” Sustainability, vol. 14, p. 6362, doi: 10.3390/su14106362.
- [18] G. Bocewicz, I.E. Nielsen, and Z.A. Banaszak, “Production flows scheduling subject to fuzzy processing time constraints,” Int. J. Comput. Integr. Manuf., vol. 29, no. 10, pp. 1105–1127, 2016, doi: 10.1080/0951192X.2016.1145739.
- [19] L. Mikhailov and P. Tzvetinov, “Evaluation of services using a fuzzy analytic hierarchy process,” Appl. Soft Comput. J., vol. 5, pp. 23–33, 2004, doi: 10.1016/j.asoc.2004.04.001.
- [20] P. Panagoulias I. Moscholios P. Sarigiannidis M. Piechowiak and M. Logothetis, “Performance metrics in OFDM wireless networks supporting quasi-random traffic,” Bulletin of the Polish Academy of Sciences Technical Sciences, vol. 68, no. 2, pp. 251–223, 2020, doi: 10.24425/bpasts.2020.133114.
- [21] M. Jasiulewicz-Kaczmarek, P. Żywica, and A. Gola, “Fuzzy set theory driven maintenance sustainability performance model: a multiple criteria approach,” J. Intell. Manuf., vol. 32, no. 5, pp. 1497–1515, 2021, doi: 10.1007/s10845-020-01734-3.
- [22] K. Zhü, “Fuzzy analytic hierarchy process: fallacy of the popular methods,” Eur. J. Oper. Res., vol. 236, no. 1, pp. 209–217, 2014, doi: 10.1016/j.ejor.2013.10.034.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-51726708-e1df-4d94-8622-e824594c7e87