Abstract
The demands of the business world increasingly challenge organizations to provide better Service Levels (SL). To monitor this performance, there are indicators such as the On-time-in-full (OTIF) and it is in this context that this project arises, which focuses on the analysis and improvement of the SL provided by the company under study.
This Portuguese company is part of an international group of luxury leather goods, dedicated to the production of leather goods components. OTIF is measured by the group through a percentage called Service Rate (SR). The target set for the group’s companies is 85% and, in 2022, the company had a SR of 72%.
In light of the action-research methodology, an analysis of the causes that lie at the origin of a service failure was started, and through the measurement and analysis of the potential for improvement, it was concluded that the cause in focus would be “KO Tool”. In this area, problems were identified, which triggered an action plan focused on the creation of a database and registry of occurrences, on acting on the causes of anomaly, on the creation of a dashboard to alert to ongoing blockages, and on the proposal for the regular purchase of tools.
There were registered gains in information traceability, space optimization, and organization of occurrences and, in general terms, data capture on the causes of service failure was improved. Considering the implemented solutions and future suggestions, an increase of 3.5% in SR is expected.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yao, F., Alkan, B., Ahmad, B., Harrison, R.: Improving just-in-time delivery performance of IoT-enabled flexible manufacturing systems with AGV based material transportation. Sensors 20, 6333 (2020). https://doi.org/10.3390/S20216333
Narayanan, A., Ishfaq, R.: Impact of metric-alignment on supply chain performance: a behavioral study. Int. J. Logist. Manag. 33, 365–384 (2022). https://doi.org/10.1108/IJLM-01-2021-0061/FULL/PDF
Godsell, J., van Hoek, R.: Fudging the supply chain to hit the number: five common practices that sacrifice the supply chain and what financial analysts should ask about them. Supply Chain Manag. 14, 171–176 (2009). https://doi.org/10.1108/13598540910954511
de Oliveira, R.R., de Barros Araújo, R.: Otimizando os processos logísticos pela implantação do OTIF com lean seis sigma. Tecnol. Metal. Mater. Min. 5, 235–240 (2013). https://doi.org/10.4322/TMM.00504009
Bushuev, M.A.: Delivery performance improvement in two-stage supply chain. Int. J. Prod. Econ. 195, 66–73 (2018). https://doi.org/10.1016/J.IJPE.2017.10.007
Siregar, H., Suroso, A., Siregar, H., Djohar, S.: Enhancing operational performance of Indonesia pine chemical industry through delivery improvement. Int. J. Sustain. Dev. Plan. 17, 1923–1929 (2022)
Tan, K.-C., Lyman, S., Wisner, J.: Supply chain management: a strategic perspective. Int. J. Oper. Prod. Manag. 22, 614–631 (2002). https://doi.org/10.1108/01443570210427659
Islam, D.M.Z., Fabian Meier, J., Aditjandra, P.T., et al.: Logistics and supply chain management. Res. Transp. Econ. 41, 3–16 (2013). https://doi.org/10.1016/j.retrec.2012.10.006
Bititci, U., Nudurupati, S.: Using performance measurement to drive continuous improvement (2005)
Soares Ito, A., Ylipää, T., Gullander, P., et al.: Prioritisation of root cause analysis in production disturbance management. Int. J. Qual. Reliab. Manage. 39, 1133–1150 (2022). https://doi.org/10.1108/IJQRM-12-2020-0402
Vorley, G., Bushell, M.-C., Jennings, M.: Root Cause Analysis Mini Guide - QM&T. Quality Management and Training (2008)
Liang, Q.W., Lais, S., Gentner, C., et al.: Application of root causes analysis techniques in the contractor selection for highway projects. IOP Conf. Ser. Mater. Sci. Eng. 901, 012031 (2020). https://doi.org/10.1088/1757-899X/901/1/012031
Prošić, S.: Kaizen management philosophy. I. In: International Symposium Engineering Management and Competitiveness 2011, EMC 2011, pp. 173–178 (2011)
Singh, J., Singh, H.: Kaizen philosophy: a review of literature. IUP J. Oper. Manage. 8, 1–23 (2009)
Alvim, S., Antônio, O., Oliveria, G.: Lean supply chain management: a lean approach applied to distribution - a literature review of the concepts, challenges and trends. J. Lean Syst. 5, 85–103 (2020)
Jones, C., Medlen, N., Merlo, C., et al.: The lean enterprise. BT Technol. J. 17, 15–22 (1999). https://doi.org/10.1023/A:1009634706576
Gierszewska, G.: The Japanese model of knowledge management. Found. Manage. 4, 7–16 (2012). https://doi.org/10.2478/FMAN-2013-0001
Manuja, M., Kalra, R.: Knowledge management in distributed data source environments. In: 2009 IEEE International Advance Computing Conference, IACC 2009, pp. 1485–1491 (2009). https://doi.org/10.1109/IADCC.2009.4809237
Jashapara, A.: Knowledge Management: An Integrated Approach, 2nd edn. Financial Times/Prentice Hall (2004)
Permata, J., Susanto, J., Sensuse, D.I., Elisabeth, D.: Knowledge creation management activities and their critical success factors in product management: case study of startup company. In: Proceedings of the 2nd International Conference on Computer Science and Engineering: The Effects of the Digital World After Pandemic (EDWAP), IC2SE 2021 (2021). https://doi.org/10.1109/IC2SE52832.2021.9792039
Lota, P.M., Almeida, M.H., Grilo, A.: How do knowledge management practices influence the deployment of lean management: a case study. In: Proceedings of the International Conference on Industrial Engineering and Operations Management, pp. 2100–2111. IEOM Society (2019)
Al-Sulaiti, A., Mansour, M., Al-Yafei, H., et al.: Using data analytics and visualization dashboard for engineering, procurement, and construction project’s performance assessment. In: 2021 IEEE 8th International Conference on Industrial Engineering and Applications, ICIEA 2021, pp. 207–211 (2021). https://doi.org/10.1109/ICIEA52957.2021.9436728
Wahyudi, I., Widyasari, Y.D.L.: Improving company performance by the correctness of management decision through implementation dashboard using Power BI tools (case study at company Y), pp. 32–37 (2022). https://doi.org/10.1109/ICET56879.2022.9990634
Bańka, M., Daniłowski, J., Czerliński, M., et al.: A feedback analysis automation using business intelligence technology in companies organizing urban public transport. Sustainability (Switzerland) 14 (2022). https://doi.org/10.3390/SU141811740
Ameer, M., Rahul, S.P., Manne, S.: Human resource analytics using Power BI visualization tool. In: Proceedings of the International Conference on Intelligent Computing and Control Systems, ICICCS 2020, pp. 1184–1189 (2020). https://doi.org/10.1109/ICICCS48265.2020.9120897
Khatuwal, V.S., Puri, D.: Business intelligence tools for dashboard development. In: Proceedings of 3rd International Conference on Intelligent Engineering and Management, ICIEM 2022, pp. 128–131 (2022). https://doi.org/10.1109/ICIEM54221.2022.9853086
Gibbs, P., Cartney, P., Wilkinson, K., et al.: Literature review on the use of action research in higher education. Educ Action Res 25, 3–22 (2017). https://doi.org/10.1080/09650792.2015.1124046
Coughlan, P., Coghlan, D.: Action research for operations management. Int. J. Oper. Prod. Manag. 22, 220–240 (2002). https://doi.org/10.1108/01443570210417515
Pluijmert, N.J., Molnar, W.A., Proper, H.A.: Research approach in enterprise engineering: a matter of engineering. In: Franch, X., Soffer, P. (eds.) CAiSE 2013. LNBIP, vol. 148, pp. 73–86. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-38490-5_6
Erro-Garcés, A., Alfaro-Tanco, J.A.: Action research as a meta-methodology in the management field. Int. J. Qual. Meth. 19 (2020). https://doi.org/10.1177/1609406920917489/ASSET/IMAGES/LARGE/10.1177_1609406920917489-FIG2.JPEG
Moreno-Poyato, A.R., Subias-Miquel, M., Tolosa-Merlos, D., et al.: A systematic review on the use of action research methods in mental health nursing care. J. Adv. Nurs. (2022). https://doi.org/10.1111/JAN.15463
Shani, A.B., Coghlan, D.: Action research in business and management: a reflective review. Action Res. 19, 518–541 (2021). https://doi.org/10.1177/1476750319852147
Mckay, J., Marshall, P.: The dual imperatives of action research. Inf. Technol. People 14, 46–59 (2001). https://doi.org/10.1108/09593840110384771
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Teixeira, A.I., Ferreira, J.V. (2024). Analysis and Improvement of Service Level: Practical Case in a Luxury Leather Goods Component Manufacturing Company. In: Moldovan, L., Gligor, A. (eds) The 17th International Conference Interdisciplinarity in Engineering. Inter-ENG 2023. Lecture Notes in Networks and Systems, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-031-54671-6_19
Download citation
DOI: https://doi.org/10.1007/978-3-031-54671-6_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-54670-9
Online ISBN: 978-3-031-54671-6
eBook Packages: EngineeringEngineering (R0)