Analysis of the types and effects of possible errors in the implementation of ecological reusable packaging into e-commerce using FMEA
PDF

Keywords

e-commerce
ecological packaging
supply chain
sustainable development

How to Cite

Tokarski, D., & Motowidlak, U. (2023). Analysis of the types and effects of possible errors in the implementation of ecological reusable packaging into e-commerce using FMEA. Economics and Environment, 85(2), 221-235. https://doi.org/10.34659/eis.2023.85.2.602

Abstract

One of the most important features of the e-commerce logistics process is its reliability. It is obtained by properly planning the process and then ensuring its course is in accordance with the developed plan and all procedures. As the data show, most problems appear at the stage of designing and preparing products and processes for implementation. Detecting potential causes of non-compliance can help prevent unwanted events from occurring. The aim of the article is to identify and assess the risk for the process and product in terms of the possibility of using reusable packaging in e-commerce logistics services provided by ARVATO Polska Sp. z o. o. with its registered office in Warsaw, taking into account preventive and corrective actions in relation to the risk. Through the use of research methodology in the form of risk mapping, 13 potential risk factors were identified, and recommendations were formulated to avoid and mitigate the effects of disruptions. Among the identified risk factors, the quality of the packaging itself, including the appropriate packaging material and the level of packaging flexibility, turned out to be the most important. The conclusions of the study may have practical applications to improve the functioning of cost-effective and environmentally friendly e-commerce logistics. The importance of these analyses increases in the assessment of innovative solutions that can be considered as the use of ecological returnable packaging in e-commerce logistics. Their goal is to identify and eliminate possible packaging failures on the market.

 

PDF

References

Abdelradi, F. (2018). Food waste behaviour at the household level: A conceptual framework. Waste Management, 71, 485-493. http://doi.org/10.1016/j.wasman.2017.10.001

Abreu, C. M., Pina, I. B., Castro, N., & Nuñez, J. R. (2022). Contribution in Increasing the Design Quality in Automation Project. Journal of Engineering Science and Technology Review, 15(1), 16-23. http://doi.org/10.25103/jestr.151.03

Almannai, B., Greenough, R., & Kay, J. (2008). A decision support tool based on QFD and FMEA for the selection of 2017 manufacturing automation technologies. Robotics and Computer-Integrated Manufacturing, 24(4), 501-507.

Bai, C., Shah, P., Zhu, Q., & Sarkis, J. (2018). Green product deletion decisions: an integrated sustainable production and consumption approach. Industrial Management and Data Systems, 118(2), 349-389. http://doi.org/10.1108/IMDS-05-2017-0175

Birkel, H. S., & Hartmann, E. (2020). Internet of Things – the future of managing supply chain risks. Supply Chain Management, 25(5), 535-548. http://doi.org/10.1108/SCM-09-2019-0356

Block, M. R. (2009). Identifying Enviromental Aspects and Impacts. Milwaukee: American Society for Quality.

Boz, Z., Korhonen, V., & Koelsch Sand, C. (2020). Consumer considerations for the implementation of sustainable packaging: A review. Sustainability, 12(6), 2192. http://doi.org/10.3390/su12062192

Carbone, T. A., & Tippett, D. D. (2004). Project risk management using the project risk fmea. Engineering Management Journal, 16(4), 28-35. http://doi.org/10.1080/10429247.2004.11415263

Casado, R. S. G. R., Silva, M. M., & Silva, L. C. (2023). Multi-criteria decision model for risk prioritisation involving multiple decision-makers: an application of composition of probabilistic preferences combined with FMEA in the supply chain. International Journal of Quality and Reliability Management, 40(3), 709-726. http://doi.org/10.1108/IJQRM-03-2020-0065

Castillo, C. (2023). Is there a theory of supply chain resilience? A bibliometric analysis of the literature. International Journal of Operations and Production Management, 43(1), 22-47. http://doi.org/10.1108/IJOPM-02-2022-0136

Chauhan, A. S., Nepal, B., Soni, G., & Rathore, A. P. S. (2018). Examining the State of Risk Management Research in New Product Development Process. Engineering Management Journal, 30(2), 85-97. http://doi.org/10.1080/10429247.2018.1446120

Colicchia, C., & Strozzi, F. (2012). Supply chain risk management: A new methodology for a systematic literature review. Supply Chain Management, 17(4), 403-418. http://doi.org/10.1108/13598541211246558

Cooper, D. R., & Gutowski, T. G. (2017). The environmental impacts of reuse: A review. Journal of Industrial Ecology, 21(1), 38-56. http://doi.org/10.1111/jiec.12388

Ennouri, W. (2013). Risks management: New literature review. Polish Journal of Management Studies, 8(1), 288-297.

Fattahi, R., & Khalilzadeh, M. (2018). Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment. Safety Science, 102, 290-300. http://doi.org/10.1016/J.SSCI.2017.10.018

Giannakis, M., & Papadopoulos, T. (2016). Supply chain sustainability: A risk management approach. International Journal of Production Economics, 171(4), 455-470. http://doi.org/10.1016/j.ijpe.2015.06.032

Górniak, J., & Bukowska-Piestrzyńska, A. (2022). Opakowania jednostkowe na rynku e-commerce w ocenie potencjalnych użytkowników – wyniki badań. Proceedings of the IX International Scientific Conference on Logistic, Poznań School of Logistics, Poznań. (in Polish).

Granato, G., Fischer, A. R. M., & van Trijp, H. C. M. (2022). A meaningful reminder on sustainability: When explicit and implicit packaging cues meet. Journal of Environmental Psychology, 79, 101724. http://doi.org/10.1016/j.jenvp.2021.101724

Hu, W., Shou, Y., Kang, M., & Park, Y. (2020). Risk management of manufacturing multinational corporations: the moderating effects of international asset dispersion and supply chain integration. Supply Chain Management, 26(1), 61-76. http://doi.org/10.1108/SCM-01-2019-0009

Jüttner, U. (2005). Supply chain risk management. International Journal of Logistics Management, 16(1), 120-141. http://doi.org/10.1108/09574090510617385

Karali, N., & Shah, N. (2022). Bolstering supplies of critical raw materials for low-carbon technologies through circular economy strategies. Energy Research & Social Science, 88, 102534. http://doi.org/10.1016/j.erss.2022.102534

Khan, B. A., & Naeem, H. (2018). Measuring the impact of soft and hard quality practices on service innovation and organisational performance. Total Quality Management & Business Excellence, 29(11-12), 1402-1426. https://doi.org/10.1080/14783363.2016.1263543

Khan, R., Mirza, A., & Khushnood, M. (2020). The role of total quality management practices on operational performance of the service industry. International Journal for Quality Research, 14(2), 439-454. http://doi.org/10.24874/ijqr14.02-07

Korzeniowski, A., Skrzypek, M., & Szyszka, G. (2012). Opakowania w systemach logistycznych. Poznań: Wydawnictwo ILiM. (in Polish).

Kumru, M., & Kumru, P. Y. (2013). Fuzzy FMEA application to improve purchasing process in a public hospital. Applied Soft Computing, 13(1), 721-733. http://doi.org/10.1016/j.asoc.2016.01.007

Lima-Junior, F. R., & Carpinetti, L. C. R. (2020). An adaptive network-based fuzzy inference system to supply chain performance evaluation based on SCOR metrics. Computers and Industrial Engineering, 139, 106191. http://doi.org/10.1016/j.cie.2019.106191

Liu, H. C., Liu, L., & Liu, N. (2013). Risk evaluation approaches in failure mode and effects analysis: A literature review. Expert Systems with Applications, 40(2), 828-838. http://doi.org/10.1016/j.eswa.2012.08.010

Liu, W., Wang, S., & Wang, J. (2023). Evaluation method of path selection for smart supply chain innovation. Annals of Operations Research, 322(1), 167-193. http://doi.org/10.1007/s10479-021-04031-1

Majerník, M., Malindžáková, M., Naščáková, J., Bednárová, L., & Drábik, P. (2021). Future of sustainability and resources management. In Ch.M. Hussain & J.F. Velasco-Muñoz (Eds.), Sustainable Resource Management (pp. 411-439). Elsevier. http://doi.org/10.1016/B978-0-12-824342-8.00004-3

Manavalan, E., & Jayakrishna, K. (2019). An Analysis on Sustainable Supply Chain for Circular Economy. Procedia Manufacturing, 33, 477-484. http://doi.org/10.1016/j.promfg.2019.04.059

Mason, M. C., Pauluzzo, R., & Umar, R. M. (2022). Recycling habits and environmental responses to fast-fashion consumption: Enhancing the theory of planned behavior to predict Generation Y consumers’ purchase decisions. Waste Management, 139, 146-157. http://doi.org/10.1016/j.wasman.2021.12.012

Moreira, A. C., Ferreira, L. M., & Silva, P. (2020). A case study on FMEA-based improvement for managing new product development risk. International Journal of Quality & Reliability Management, 38(5), 1130-1148. http://doi.org/10.1108/IJQRM-06-2020-0201

Motowidlak, U., & Tokarski, D. (2022). Critical processes and risk factors of disturbances in the implementation of ecological reusable packaging into context of e-commerce sustainable development. Economics and Environment, 82(3), 97-117. http://doi.org/10.34659/eis.2022.82.3.483

Oakland, J. S. (2014). Total Quality Management and Operational Excellence: Text with Cases (4th ed.). London: Routledge. http://doi.org/10.4324/9781315815725

Pham, T. M. D. (2020). On the relationship between total quality management practices and firm performance in Vietnam: The mediating role of non-financial performance. Management Science Letters, 10, 1743-1754. http://doi.org/10.5267/j.msl.2020.1.005

Sharma, N., Ghosh, S., & Saha, M. (2020). Open Data for Sustainable Community: Glocalized Sustainable Development Goals. Singapore: Springer.

Silva, N., & Palsson, H. (2022). Industrial packaging and its impact on sustainability and circular economy: A systematic literature review. Journal of Cleaner Production, 333, 130165. http://doi.org/10.1016/j.jclepro.2021.130165

Singh, C. S., Soni, G., & Badhotiya, G. K. (2019). Performance indicators for supply chain resilience: review and conceptual framework. Journal of Industrial Engineering International, 15, 110-114. http://doi.org/10.1007/s40092-019-00322-2

Szołtysek, J., & Twaróg, S. (2017). Logistyka zwrotna. Teoria i praktyka. Warszawa: Wydawnictwo PWE. (in Polish).

Tsai, S.-B., Zhou, J., Gao, Y., Wang, J., Li, G., Zheng, Y., Ren, P., & Xu, W. (2017). Combining FMEA with DEMATEL models to solve production process problems. PLoS ONE, 12(8), 0183634. http://doi.org/10.1371/journal.pone.0183634

Velasquez, R. M. A., & Lara, J. V. M. (2017). Principal components analysis and adaptive decision system based on fuzzy logic for power transformer. Fuzzy Information and Engineering, 9(4), 493-514. http://doi.org/10.1016/j.fiae.2017.12.005

Wang, X.-C. (2018). Error identification and analysis of enterprise quality management based on ISO9001 quality management standard and FMEA method. Journal of Interdisciplinary Mathematics, 21(5), 1291-1296. http://doi.org/10.1080/09720502.2018.1498000

Wei, X., Prybutok, V., & Sauser, B. (2021). Review of supply chain management within project management. Project Leadership and Society, 2, 100013. http://doi.org/10.1016/j.plas.2021.100013

Xie, X., Huo, J., & Zou, H. (2019). Green process innovation, green product innovation, and corporate financial performance: A content analysis method. Journal of Business Research, 101, 697-706. http://doi.org/10.1016/j.jbusres.2019.01.010

Yousefi, S., & Tosarkani, B. M. (2022). The adoption of new technologies for sustainable risk management in logistics planning: A sequential dynamic approach. Computers & Industrial Engineering, 173, 108627. http://doi.org/10.1016/j.cie.2022.108627

Zhu, Q., & Shah, P. (2018). Product deletion and its impact on supply chain environmental sustainability. Resources, Conservation and Recycling, 132, 1-2. http://doi.org/10.1016/j.resconrec.2018.01.010

Zhu, Q., Golrizgashti, S., & Sarkis, J. (2021). Product deletion and supply chain repercussions: risk management using FMEA. Benchmarking: An International Journal, 28(2), 409-437. http://doi.org/10.1108/BIJ-01-2020-0007

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Copyright (c) 2023 Economics and Environment

Downloads

Download data is not yet available.