Abstract
Digitalization is an opportunity for manufacturing SMEs to transform, not only for the flexibility and agility, but also for improved responsiveness in meeting customer requirements. Quality, being an integral part of customer-orientation, needs to be at the forefront of transformation under digitalization. Also, the digitalization is the need of the hour for continuous improvement to avoid disparity between paper-based quality practices and the digitalized engineering value chain. In this research article, authors intend to address the digitalization priorities of quality practices for Small and Medium Enterprises (SMEs) in perspective of adoption of Industry 4.0 technologies. From the literature survey, authors observed that, there is extensive literature available regarding quality and its relevance for continuous improvement, while research insights regarding integration of quality practices in a digital environment are limited and even if considered, they have not been studied holistically. Authors have examined the available research to assimilate the effect of current market trends on quality practices. They have undertaken a survey of prevailing quality maturity in manufacturing SMEs. In current study, authors have understood the need of digitalization of quality processes and propose the priority digital approaches that can guide SMEs with a holistic view of transformation including quality. The key findings based on proposed approaches for adopting digital quality processes are: Firstly, to address the challenges of shorter time-to-market, increased complexity, flexibility and innovation, SMEs need to adopt digitalization across the PDCA quality cycle. Secondly, digitalization of quality practices needs to be considered holistically across value chain. Thirdly, five processes have been prioritized for digitalization based on their adoption maturity i.e. design for quality, compliance, incoming & outgoing goods control, statistical process control and complaint management. Based on finding of this study authors recommend that manufacturing SMEs take cognizance of these findings and adopt digital quality to successfully thrive in the emerging global market.
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References
Ahmad, M. M., & Dhafr, N. (2002). Establishing and improving manufacturing performance measures. Robotics and Computer-Integrated Manufacturing, 18(3–4), 171–176. https://doi.org/10.1016/S0736-5845(02)00007-8
Alič, M. (2018). Integration of the ISO 9001 QMS with the company’s IT business system. Total Quality Management & Business Excellence, 29(9–10), 1143–1160. https://doi.org/10.1080/14783363.2018.1487216
Anderson, S. W., Daly, J. D., & Johnson, M. F. (1999). Why firms seek ISO 9000 certification: Regulatory compliance or competitive advantage? Production and Operations Management, 8(1), 28–43. https://doi.org/10.1111/j.1937-5956.1999.tb00059.x
Arntz, M., Gregory, T., & Zierahn, U. (2019). Digitalization and the future of work: Macroeconomic consequences. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3413653
Banduka, N., Veža, I., & Bilić, B. (2016). An integrated lean approach to Process Failure Mode and Effect Analysis (PFMEA): A case study from automotive industry. Advances in Production Engineering & Management. https://doi.org/10.14743/apem2016.4.233
Battaïa, O., Dolgui, A., Heragu, S. S., Meerkov, S. M., & Tiwari, M. K. (2018). Design for manufacturing and assembly/disassembly: Joint design of products and production systems. International Journal of Production Research, 56(24), 7181–7189. https://doi.org/10.1080/00207543.2018.1549795
Björkdahl, J. (2020). Strategies for digitalization in manufacturing firms. California Management Review, 62(4), 17–36. https://doi.org/10.1177/0008125620920349
Bordel Sánchez, B., Alcarria, R., Martín, D., & Robles, T. (2015). TF4SM: A framework for developing traceability solutions in small manufacturing companies. Sensors, 15(11), 29478–29510. https://doi.org/10.3390/s151129478
Bravi, L., Murmura, F., & Santos, G. (2019). The ISO 9001:2015 quality management system standard: Companies’ drivers, benefits and barriers to its implementation. Quality Innovation Prosperity, 23(2), 64–82. https://doi.org/10.12776/QIP.V23I2.1277
Bruno, G., Taurino, T., & Villa, A. (2018). An approach to support SMEs in manufacturing knowledge organization. Journal of Intelligent Manufacturing, 29(6), 1379–1392. https://doi.org/10.1007/s10845-015-1186-6
Buer, S. V., Fragapane, G. I., & Strandhagen, J. O. (2018). The data-driven process improvement cycle: Using digitalization for continuous improvement. IFAC-PapersOnLine, 51(11), 1035–1040. https://doi.org/10.1016/j.ifacol.2018.08.471
Chhim, P., Chinnam, R. B., & Sadawi, N. (2019). Product design and manufacturing process-based ontology for manufacturing knowledge reuse. Journal of Intelligent Manufacturing, 30(2), 905–916. https://doi.org/10.1007/s10845-016-1290-2
Cho, M. W., Lee, H., Yoon, G. S., & Choi, J. (2005). A feature-based inspection planning system for coordinate measuring machines. International Journal of Advanced Manufacturing Technology, 26(9–10), 1078–1087. https://doi.org/10.1007/s00170-004-2077-8
Ciampa, P. D., Nagel, B., & Rocca, G. L. (2020). A MBSE approach to mdao systems for the development of complex products. Aiaa Aviation Forum, 1 PartF. https://doi.org/10.2514/6.2020-3150
Cohen, Y., & Singer, G. (2021). A smart process controller framework for Industry 4.0 settings. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-021-01748-5
Cugini, U., Ramelli, A., Rizzi, C., & Ugolotti, M. (2006). Total quality management and process modeling for PLM in SME. Advances in Design. https://doi.org/10.1007/1-84628-210-1_28
Davrajh, S., & Bright, G. (2013). Advanced quality management system for product families in mass customization and reconfigurable manufacturing. Assembly Automation, 33(2), 127–138. https://doi.org/10.1108/01445151311306636
Doshi, J. A., & Desai, D. A. (2016). Statistical process control: An approach for continuous quality improvement in automotive SMEs—Indian case study. International Journal of Productivity and Quality Management, 19(3), 387–407. https://doi.org/10.1504/IJPQM.2016.079783
Duan, G. J., & Wang, Y. (2015). QCs-linkage model-based quality problem processing framework: A Chinese experience in complex product development. Journal of Intelligent Manufacturing, 26(2), 239–254. https://doi.org/10.1007/s10845-013-0776-4
Eggers, F. (2020). Masters of disasters? Challenges and opportunities for SMEs in times of crisis. Journal of Business Research, 116(May), 199–208. https://doi.org/10.1016/j.jbusres.2020.05.025
Eleftheriadis, R. J., & Myklebust, O. (2016). A quality pathway to digitalization in manufacturing thru zero defect manufacturing practices. In 6th International Workshop of Advanced Manufacturing and Automation. Atlantis Press. https://doi.org/10.2991/iwama-16.2016.35
Fang, F. Z., Li, Z., Arokiam, A., & Gorman, T. (2016). Closed loop PMI driven dimensional quality lifecycle management approach for smart manufacturing system. Procedia CIRP, 56, 614–619. https://doi.org/10.1016/j.procir.2016.10.121
Fraser, P., Moultrie, J., & Gregory, M. (2002). The use of maturity models/grids as a tool in assessing product development capability. IEEE International Engineering Management Conference, 1, 244–249. https://doi.org/10.1109/iemc.2002.1038431
Ghobakhloo, M. (2020). Determinants of information and digital technology implementation for smart manufacturing. International Journal of Production Research, 58(8), 2384–2405. https://doi.org/10.1080/00207543.2019.1630775
Gidey, E., Jilcha, K., Beshah, B., & Kitaw, D. (2014). The plan-do-check-act cycle of value addition. Industrial Engineering & Management, 03(01), 1–5. https://doi.org/10.4172/2169-0316.1000124
Harpster, R. A. (2016). How FMEAs can be the cornerstone of ISO 2001:2015 compliant risk based quality management system. In Proceedings—Annual Reliability and Maintainability Symposium, 2016-April. https://doi.org/10.1109/RAMS.2016.7448088
Henao, R., Sarache, W., & Gómez, I. (2019). Lean manufacturing and sustainable performance: Trends and future challenges. Journal of Cleaner Production, 208, 99–116. https://doi.org/10.1016/j.jclepro.2018.10.116
Hughes, L., Dwivedi, Y. K., Rana, N. P., Williams, M. D., & Raghavan, V. (2020). Perspectives on the future of manufacturing within the Industry 4.0 era. Production Planning and Control. https://doi.org/10.1080/09537287.2020.1810762
Isaksson, A. J., Harjunkoski, I., & Sand, G. (2018). The impact of digitalization on the future of control and operations. Computers and Chemical Engineering, 114, 122–129. https://doi.org/10.1016/j.compchemeng.2017.10.037
Jagusiak-Kocik, M. (2017). PDCA cycle as a part of continuous improvement in the production company—A case study. Production Engineering Archives, 14, 19–22. https://doi.org/10.30657/pea.2017.14.05
Ji, W., Yin, S., & Wang, L. (2019). A big data analytics-based machining optimization approach. Journal of Intelligent Manufacturing, 30(3), 1483–1495. https://doi.org/10.1007/s10845-018-1440-9
Jiang, P., Jia, F., Wang, Y., & Zheng, M. (2014). Real-time quality monitoring and predicting model based on error propagation networks for multistage machining processes. Journal of Intelligent Manufacturing, 25(3), 521–538. https://doi.org/10.1007/s10845-012-0703-0
Jo, M. S., Nakamoto, K., & Nelson, J. E. (2003). The shielding effects of brand image against lower quality countries-of-origin in global manufacturing. Journal of Business Research, 56(8), 637–646. https://doi.org/10.1016/S0148-2963(01)00307-1
Kim, D. Y., Park, J. W., Baek, S., Park, K. B., Kim, H. R., Park, J. I., Kim, H. S., Kim, B. B., Oh, H. Y., Namgung, K., & Baek, W. (2020). A modular factory testbed for the rapid reconfiguration of manufacturing systems. Journal of Intelligent Manufacturing, 31(3), 661–680. https://doi.org/10.1007/s10845-019-01471-2
Klötzer, C., & Pflaum, A. (2017). Toward the Development of a Maturity Model for Digitalization within the Manufacturing Industry’s Supply Chain. In Proceedings of the 50th Hawaii International Conference on System Sciences (2017) (pp. 4210–4219). https://doi.org/10.24251/hicss.2017.509
Kristal, M. M., Huang, X., & Schroeder, R. G. (2010). The effect of quality management on mass customization capability. International Journal of Operations & Production Management. https://doi.org/10.1108/01443571011075047
Krumwiede, D., & Sheu, C. (1996). Implementing SPC in a small organization: A TQM approach. Integrated Manufacturing Systems, 7(1), 45–51. https://doi.org/10.1108/09576069610108435
Kumar, R. (2019). Kaizen a tool for continuous quality improvement in Indian manufacturing organization. International Journal of Mathematical, Engineering and Management Sciences, 4(2), 452–459. https://doi.org/10.33889/IJMEMS.2019.4.2-037
Kumar, R., Singh, R. K., & Dwivedi, Y. K. (2020). Application of industry 4.0 technologies in SMEs for ethical and sustainable operations: Analysis of challenges. Journal of Cleaner Production, 275, 124063. https://doi.org/10.1016/j.jclepro.2020.124063
Kupper D., Knizek C., & Ryeson D. (2019). Quality 4.0 Takes More Than Technology. https://www.bcg.com/publications/2019/quality-4.0-takes-more-than-technology
Lee, C. K. M., Zhang, S. Z., & Ng, K. K. H. (2017). Development of an industrial Internet of things suite for smart factory towards re-industrialization. Advances in Manufacturing, 5(4), 335–343. https://doi.org/10.1007/s40436-017-0197-2
Li, S., & Zeng, W. (2016). Risk analysis for the supplier selection problem using failure modes and effects analysis (FMEA). Journal of Intelligent Manufacturing, 27(6), 1309–1321. https://doi.org/10.1007/s10845-014-0953-0
Lim, K. Y. H., Zheng, P., & Chen, C. H. (2019). A state-of-the-art survey of Digital Twin: Techniques, engineering product lifecycle management and business innovation perspectives. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-019-01512-w
Lodgaard, E., Gamme, I., & Aasland, K. E. (2013). Success factors for PDCA as continuous improvement method in product development. IFIP Advances in Information and Communication Technology, 397(PART 1), 645–652. https://doi.org/10.1007/978-3-642-40352-1_81
Mahmood, S., & Hasan, R. (2012). Survey on impact of QMS ISO 9001:2000 in an organization, increases the effectiveness of its operations. In Proceedings of the 2012 UKACC International Conference on Control, CONTROL 2012, September (pp. 427–430). https://doi.org/10.1109/CONTROL.2012.6334668
Majumdar, J. P., & Manohar, B. M. (2016). Why Indian manufacturing SMEs are still reluctant in adopting total quality management. International Journal of Productivity and Quality Management, 17(1), 16–35. https://doi.org/10.1504/IJPQM.2016.073273
Matt, D. T., & Rauch, E. (2020). SME 4.0: The role of small-and medium-sized enterprises in the digital transformation. In D. T. Matt, V. Modrák, & H. Zsifkovits (Eds.), Industry 4.0 for SMEs (pp. 3–36). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-25425-4_1
Mishra, R. (2020). Empirical analysis of enablers and performance outcome of manufacturing flexibility in an emerging economy. Journal of Manufacturing Technology Management. https://doi.org/10.1108/JMTM-06-2019-0220
Mittal, K., Kaushik, P., & Khanduja, D. (2012). Evidence of APQP in quality improvement: An SME case study. International Journal of Management Science and Engineering Management, 7(1), 20–28. https://doi.org/10.1080/17509653.2012.10671203
Möldner, A. K., Garza-Reyes, J. A., & Kumar, V. (2020). Exploring lean manufacturing practices’ influence on process innovation performance. Journal of Business Research, 106(September), 233–249. https://doi.org/10.1016/j.jbusres.2018.09.002
Motohashi, K., & Rammer, C. (2020). Digitalization and New Product Development in Manufacturing SMEs: A Comparative Study of Germany and Japan. Research Institute of Economy, Trade and Industry (RIETI).
Mourtzis, D., & Doukas, M. (2014). Design and planning of manufacturing networks for mass customisation and personalisation: Challenges and outlook. Procedia CIRP, 19(C), 1–13. https://doi.org/10.1016/j.procir.2014.05.004
Mourtzis, D., Papakostas, N., Mavrikios, D., Makris, S., & Alexopoulos, K. (2015). The role of simulation in digital manufacturing. International Journal of Computer Integrated Manufacturing, 28(1), 3–24. https://doi.org/10.1080/0951192X.2013.800234
Müller, P., Pasch, F., Drewinski, R., Bedenbender, H., Hayka, H., & Stark, R. (2012). Study on collaborative product development and digital engineering tools. In IFIP Advances in Information and Communication Technology, 388 AICT (pp. 389–399). https://doi.org/10.1007/978-3-642-35758-9_35
Obal, M., Morgan, T., & Joseph, G. (2020). Integrating sustainability into new product development: The role of organizational leadership and culture. Journal of Small Business Strategy, 30(1), 43–57.
OECD. (2019). OECD SME and entrepreneurship outlook 2019. OECD Publishing. https://doi.org/10.1787/34907e9c-en
Ozkaya, I., & Akin, Ö. (2006). Requirement-driven design: Assistance for information traceability in design computing. Design Studies, 27(3), 381–398. https://doi.org/10.1016/j.destud.2005.11.005
Parviainen, P., Tihinen, M., Kääriäinen, J., & Teppola, S. (2017). Tackling the digitalization challenge: How to benefit from digitalization in practice. International Journal of Information Systems and Project Management, 5(1), 63–77. https://doi.org/10.12821/ijispm050104
Qi, Y., Mao, Z., Zhang, M., & Guo, H. (2020). Manufacturing practices and servitization: The role of mass customization and product innovation capabilities. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2020.107747
Radej, B., Drnovšek, J., & Begeš, G. (2017). An overview and evaluation of quality-improvement methods from the manufacturing and supply-chain perspective. Advances in Production Engineering and Management, 12(4), 388–400. https://doi.org/10.14743/apem2017.4.266
Realyvásquez-Vargas, A., Arredondo-Soto, K. C., Carrillo-Gutiérrez, T., & Ravelo, G. (2018). Applying the Plan-Do-Check-Act (PDCA) cycle to reduce the defects in the manufacturing industry. A case study. Applied Sciences (switzerland). https://doi.org/10.3390/app8112181
Robert, M., Giuliani, P., & Gurau, C. (2020). Implementing industry 4.0 real-time performance management systems: The case of Schneider Electric. Production Planning and Control. https://doi.org/10.1080/09537287.2020.1810761
Sahoo, S., & Yadav, S. (2018). Total quality management in Indian manufacturing SMEs. Procedia Manufacturing, 21, 541–548. https://doi.org/10.1016/j.promfg.2018.02.155
Savastano, M., Amendola, C., Bellini, F., & D’Ascenzo, F. (2019). Contextual impacts on industrial processes brought by the digital transformation of manufacturing: A systematic review. Sustainability (switzerland). https://doi.org/10.3390/su11030891
Seetharaman, A., Patwa, N., Saravanan, A. S., & Sharma, A. (2019). Customer expectation from Industrial Internet of Things (IIOT). Journal of Manufacturing Technology Management, 30(8), 1161–1178. https://doi.org/10.1108/JMTM-08-2018-0278
Shivajee, V., Singh, R. K., & Rastogi, S. (2019). Manufacturing conversion cost reduction using quality control tools and digitization of real-time data. Journal of Cleaner Production, 237, 117678. https://doi.org/10.1016/j.jclepro.2019.117678
Singh, J., & Singh, H. (2015). Continuous improvement philosophy—Literature review and directions. In Benchmarking (Vol. 22, Issue 1). https://doi.org/10.1108/BIJ-06-2012-0038
Singh, L. P., Bhardwaj, A., & Sachdeva, A. (2006). Quality management practices vs. performance of SMEs: An empirical study of Indian industries. In 2006 Technology Management for the Global Future-PICMET 2006 Conference (Vol. 5, pp. 2393–2399). IEEE. https://doi.org/10.1109/PICMET.2006.296826
Singh, R. K., & Kumar, R. (2020). Strategic issues in supply chain management of Indian SMEs due to globalization: An empirical study. Benchmarking: an International Journal. https://doi.org/10.1108/BIJ-09-2019-0429
Sjödin, D. R., Parida, V., Leksell, M., & Petrovic, A. (2018). Smart factory implementation and process innovation: A preliminary maturity model for leveraging digitalization in manufacturing moving to smart factories presents specific challenges that can be addressed through a structured approach focused on people, processes, and technologies. Research-Technology Management, 61(5), 22–31. https://doi.org/10.1080/08956308.2018.1471277
Sony, M., & Naik, S. (2020). Critical factors for the successful implementation of Industry 4.0: A review and future research direction. Production Planning & Control, 31(10), 799–815. https://doi.org/10.1080/09537287.2019.1691278
Stevens, J. L., Spaid, B. I., Breazeale, M., & Jones, C. L. E. (2018). Timeliness, transparency, and trust: A framework for managing online customer complaints. Business Horizons, 61(3), 375–384. https://doi.org/10.1016/j.bushor.2018.01.007
Usman, M., Shafiq, M., Savino, M., Rashid, Z., Yehya, M. I., Naqvi, A. A., & Menanno, M. (2019). Investigating the role of QMS implementation on customers’ satisfaction: A case study of SMEs. IFAC-PapersOnLine, 52(13), 2032–2037. https://doi.org/10.1016/j.ifacol.2019.11.504
Wagire, A. A., Joshi, R., Rathore, A. P. S., & Jain, R. (2020). Development of maturity model for assessing the implementation of Industry 4.0: Learning from theory and practice. Production Planning and Control. https://doi.org/10.1080/09537287.2020.1744763
Wilson, J. P., & Campbell, L. (2020). ISO 9001: 2015: The evolution and convergence of quality management and knowledge management for competitive advantage. Total Quality Management & Business Excellence, 31(7–8), 761–776. https://doi.org/10.1080/14783363.2018.1445965
Xu, Z., Dang, Y., Munro, P., & Wang, Y. (2020). A data-driven approach for constructing the component-failure mode matrix for FMEA. Journal of Intelligent Manufacturing, 31(1), 249–265. https://doi.org/10.1007/s10845-019-01466-z
Yang, W., Fu, C., Yan, X., & Chen, Z. (2020). A knowledge-based system for quality analysis in model-based design. Journal of Intelligent Manufacturing, 31(6), 1579–1606. https://doi.org/10.1007/s10845-020-01535-8
Yao, X., Zhou, J., Lin, Y., Li, Y., Yu, H., & Liu, Y. (2019). Smart manufacturing based on cyber-physical systems and beyond. Journal of Intelligent Manufacturing, 30(8), 2805–2817. https://doi.org/10.1007/s10845-017-1384-5
Yin, H., Luo, Y., Deng, Y., & Zhu, H. (2012). Research and application of assembly-centered lifecycle quality management system. Applied Mechanics and Materials, 127, 181–186. https://doi.org/10.4028/www.scientific.net/AMM.127.181
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Dutta, G., Kumar, R., Sindhwani, R. et al. Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption. J Intell Manuf 32, 1679–1698 (2021). https://doi.org/10.1007/s10845-021-01783-2
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DOI: https://doi.org/10.1007/s10845-021-01783-2