Production
https://prod.org.br/article/doi/10.1590/0103-6513.20210073
Production
Research Article

Prioritisation of barriers for supply chain management implementation in the Malaysian automotive industry

Azilah Anis; Rafikul Islam; Nor Intan Adha Hafit

Downloads: 0
Views: 545

Abstract

Paper aims: Several Barriers impede the robust effectiveness of the supply-chain management implementation for the Malaysian automotive industry. The purpose of the present work is to identify these Barriers and prioritize them.

Originality: Originality of the present work lies in identifying the Barriers, putting them into categories and subsequently prioritize them by applying a scientific method such as Analytic Hierarchy Process (AHP).Research

Research method: This study has identified five main categories of Barriers through literature reviews. Fourteen practitioners who are involved with the automotive industry helped prioritise those Barriers by applying the AHP.Main

Main findings: Five main categories of Barriers are found to be technological, organisational, individual, strategic, and cultural barriers. Organisational barrier is the most critical barrier followed by technological and strategic barriers.

Implications for theory and practice: This research provides important feedback to the automotive company managers to take appropriate measures to minimise negative impacts of the barriers identified.

Keywords

Supply chain management, Barriers, Automotive industry, Analytic hierarchy process

References

Adhikari, D. R. (2010). Human resource development (HRD) for performance management: The case of Nepalese organizations. International Journal of Productivity and Performance Management, 59(4), 306-324. http://dx.doi.org/10.1108/17410401011038883.

Agrawal, N., & Kant, S. (2020) Supplier selection using fuzzy-AHP: a case study. In: I. Singh, P. Bajpai, K. Panwar (Eds.), Trends in manufacturing processes. Singapore: Springer. http://dx.doi.org/10.1007/978-981-32-9099-0_13.

Al Zaabi, S., Al Dhaheri, N., & Diabat, A. (2013). Analysis of interaction between the barriers for the implementation of sustainable supply chain management. International Journal of Advanced Manufacturing Technology, 68(1–4), 895-905. http://dx.doi.org/10.1007/s00170-013-4951-8.

Alfalla-Luque, R., Marin-Garcia, J. A., & Medina-Lopez, C. (2015). An analysis of the direct and mediated effects of employee commitment and supply chain integration on organisational performance. International Journal of Production Economics, 162, 242-257. http://dx.doi.org/10.1016/j.ijpe.2014.07.004.

Aouadni, S., Aoudni, I., & Rebai, A. (2019). A systematic review on suppler selection and order allocation problems. Journal of Industrial Engineering International, 15(1), 5267-5289.

Baharudin, N., & Jusoh, R. (2019). Implementation of target cost management in a non-environment. Qualitative Research in Accounting & Management, 16(1), 35-59. http://dx.doi.org/10.1108/QRAM-02-2018-0017.

Balon, V., Sharma, A. K., & Barua, M. K. (2016). Assessment of barriers in green supply chain management using ISM: a case study of the automotive industry in India. Global Business Review, 17(1), 116-135. http://dx.doi.org/10.1177/0972150915610701.

Bennett, D., & Klug, F. (2012). Logistics supplier integration in the automotive industry. International Journal of Operations & Production Management, 32(11), 1281-1305. http://dx.doi.org/10.1108/01443571211274558.

Bhat, K. S., & Rajashekhar, J. (2009). An empirical study of barriers to TQM implementation in Indian industries. The TQM Magazine, 21(3), 261-272. http://dx.doi.org/10.1108/17542730910953031.

Charan, P., Shankar, R., & Baisya, R. K. (2009). Modelling the barriers of supply chain performance measurement system implementation in the Indian automotive supply chain. Interntional Journal of Logistics Systems and Management, 5(6), 614-630. http://dx.doi.org/10.1504/IJLSM.2009.024794.

Chopra, S., & Meindl, P. (2007). Supply chain management: strategy, planning and operation (5th ed.). New Jersey: Pearson Education.

Chopra, S., & Meindl, P. (2010).Supply chain management. New Jersey: Pearson Education.

Delic, M., Eyers, D. R., & Mikulic, J. (2019). Additive manufacturing: empirical evidence for supply chain integration and performance from the automotive industry. Supply Chain Management, 24(5), 604-621. http://dx.doi.org/10.1108/SCM-12-2017-0406.

Drohomeretski, E., Gouvea da Costa, S., & Lima, E. P. (2014). Green supply chain management. Journal of Manufacturing Technology Management, 25(8), 1105-1134. http://dx.doi.org/10.1108/JMTM-06-2014-0084.

Fawcett, S. E., McCarter, M. W., Fawcett, A. M., Webb, G. S., & Magnan, G. M. (2015). Why supply chain collaboration fails: the socio-structural view of resistance to relational strategies. Supply Chain Management, 20(6), 648-663. http://dx.doi.org/10.1108/SCM-08-2015-0331.

Feizabadi, J., & Alibakhshi, S. (2021). Synergistic effect of cooperation and coordination to enhance the firm’s supply chain adaptability and performance. Benchmarking, 29(1), 1-36.

Fernando, Y., Walters, T., Ismail, M. N., Seo, Y. W., & Kaimasu, M. (2018). Managing project success using project risk and green supply chain management. International Journal of Managing Projects in Business, 11(2), 332-365. http://dx.doi.org/10.1108/IJMPB-01-2017-0007.

Flavia, C. S., Fabio, Y. S., Jose, C. B., Andre, F. L., & Mario, R. S. (2017). Barriers to green supply chain management in the automotive industry. Journal of Business and Management, 58(2), 149-162.

George, J., & Pillai, V.M. (2019). A study of factors affecting supply chain performance. Journal of Physics: Conference Series, 1355, 012018. doi:10.1088/1742-6596/1355/1/012018.

Gorane, S. J., & Kant, R. (2015). Modelling the SCM implementation barriers. Journal of Modelling in Management, 10(2), 158-178. http://dx.doi.org/10.1108/JM2-08-2012-0026.

Habidin, N. F., & Mohd Yusof, S. (2013). Critical success factors of Lean Six Sigma for the Malaysian automotive industry. International Journal of Lean Six Sigma, 4(1), 60-82. http://dx.doi.org/10.1108/20401461311310526.

Habidin, N. F., Hashim, S., Fuzi, N. M., & Salleh, M. I. (2018). Total productive maintenance, Kaizen event, and performance. International Journal of Quality & Reliability Management, 35(9), 1853-1867. http://dx.doi.org/10.1108/IJQRM-11-2017-0234.

Islam, R. (2010). Critical success factors of the nine challenges in Malaysia’s vision 2020. Socio-Economic Planning Sciences, 44(4), 199-211. http://dx.doi.org/10.1016/j.seps.2010.07.002.

Islam, R., & Anis, A., (2018). Prioritisation of internal and external barriers for supply-chain implmentation in manufacturing companies: A Malaysian erspective. In V. A. P. Salomon (Ed.), Multi-criteria methods and techniques applied to supply chain management. London: Intech Open Limited.

Kamaruddin, N. K., & Udin, Z. M. (2009). Supply chain technology adoption in Malaysian automotive suppliers. Journal of Manufacturing Technology Management, 20(3), 385-403. http://dx.doi.org/10.1108/17410380910936819.

Korpela, J., & Lehmusvaara, A. (1999). A customer oriented approach to warehouse network evaluation and design. International Journal of Production Economics, 59(1–3), 135-146. http://dx.doi.org/10.1016/S0925-5273(98)00096-6.

Korpela, J., Lehmusvaara, A., & Tuominen, M. (2001). An analytic approach to supply chain development. International Journal of Production Economics, 71(1-3), 145-155. http://dx.doi.org/10.1016/S0925-5273(00)00114-6.

Krejčí, J., & Stoklasa, J. (2018). Aggregation in the Analytic Hierarchy Process: why weighted geometric mean should be used instead of weighted arithmetic mean. Expert Systems with Applications, 114, 97-106. http://dx.doi.org/10.1016/j.eswa.2018.06.060.

Kumar, S., Luthra, S., & Haleem, A. (2013). Customer involvement in greening the supply chain: an interpretive structural modeling methodology. Journal of Industrial Engineering International, 9, 6. http://dx.doi.org/10.1186/2251-712X-9-6.

Laforet, S. (2013). Organisational innovation outcomes in SMEs: effects of age, size and sector. Journal of World Business, 48(4), 490-502. http://dx.doi.org/10.1016/j.jwb.2012.09.005.

Lee, R. (2021). The effect of supply chain management strategy on operational and financial performance. Sustainability, 13(9), 5138. http://dx.doi.org/10.3390/su13095138.

Lee, Y.-C., Chu, P.-Y., & Tseng, H.-L. (2011). Corporate performance of ICT-enabled business process re-engineering. Industrial Management & Data Systems, 111(5), 735-754. http://dx.doi.org/10.1108/02635571111137287.

Lima-Junior, F. R., & Carpinetti, L. C. R. (2017). Quantitative models for supply chain performance evaluation: a literature review. Computers & Industrial Engineering, 113, 333-346. http://dx.doi.org/10.1016/j.cie.2017.09.022.

Luthra, S., Mangla, S. K., Xu, L., & Diabat, A. (2016). Using AHP to evaluate barriers in adopting sustainable consumption and production initiatives in a supply chain. International Journal of Production Economics, 181, 342-349. http://dx.doi.org/10.1016/j.ijpe.2016.04.001.

Malaysian Automotive Association. (2021). Sales & production statistics. Retrieved in 12 May 2021, from http://www.maa.org.my/statistics.html

Masella, C., & Rangone, A. (2000). A contingent approach to the design of vendor selection systems for different types of co-operative customer/supplier relationships. International Journal of Operations & Production Management, 20(1), 70-84. http://dx.doi.org/10.1108/01443570010287044.

Mastrocinque, E., Javier Ramírez, F., Honrubia-Escribano, A., Duc, T., & Pham, D. T. (2020). An AHP-based multi-criteria model for sustainable supply chain development in the renewable energy sector. Expert Systems with Applications, 150, 113321. http://dx.doi.org/10.1016/j.eswa.2020.113321.

Meehan, J., & Muir, L. (2008). SCM in Merseyside SMEs: benefits and barriers. The TQM Journal, 20(3), 223-232. http://dx.doi.org/10.1108/17542730810867245.

Menon, R. R., & Ravi, V. (2021). Analysis of barriers of sustainable supply chain management in electronics industry: an interpretive structural modelling approach. Cleaner and Responsible Consumption, 3, 100026. http://dx.doi.org/10.1016/j.clrc.2021.100026.

Mohd, S. N. A., Kasolang, S., & Jaafar, A. (2011). Reviewing study of developing an integrated TQM with LM framework model in Malaysian automotive industy. The TQM Journal, 24(5), 399-417. http://dx.doi.org/10.1108/17542731211261566.

Nazir, N. M., & Shavarebi, K. (2019). A review of global automotive industry’s competitive strategies. World Journal of Science and Sustainable Development, 16(4), 170-183. http://dx.doi.org/10.1108/WJSTSD-10-2018-0060.

Nhemachena, C., & Murimbika, M. (2018). Motivations of sustainable entrepreneurship and their impact of enterprise performance in Gauteng province, South Africa. Business Strategy and Development, 1(2), 115-127. http://dx.doi.org/10.1002/bsd2.16.

Olson, D. L. (2017). View of IJPR contributions to knowledge management in supply chains. International Journal of Production Research, 56(1–2), 733-742.

Parmar, V., & Shah, H. G. (2016). A literature review on supply chain management barriers in manufacturing organisation. International Journal of Engineering Development and Research, 4(1), 26-42.

Prasad, D. S., Pradhan, R. P., Gaurav, K., & Sabat, A. K. (2020). Critical success factors of sustainable supply chain management and organizational performance: an exploratory study. Transportation Research Procedia, 48, 327-344. http://dx.doi.org/10.1016/j.trpro.2020.08.027.

Ravi, V., Shankar, R., & Tiwari, M. K. (2005). Productivity improvement of a computer hardware supply chain. International Journal of Productivity and Performance Management, 54(4), 239-255. http://dx.doi.org/10.1108/17410400510593802.

Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.

Saaty, T. L. (1990). How to make a decision: The Analytic Hierarchy Process. European Journal of Operational, 48(1), 9-26. http://dx.doi.org/10.1016/0377-2217(90)90057-I.

Sadi, M. A., & Al-Dubaisi, A. H. (2008). Barriers to organisational creativity: the marketing executive, perspective in Saudi Arabia. Journal of Management Development, 27(6), 574-599. http://dx.doi.org/10.1108/02621710810877839.

Savino, M. M., & Batbaatar, E. (2015). Investigating the resources for Integrated Management Systems within resource-based and contingency perspective in manufacturing firms. Journal of Cleaner Production, 104, 392-402. http://dx.doi.org/10.1016/j.jclepro.2015.04.115.

Tahiri, F., Osman, M. R., Ali, A., & Yusoff, M. R. (2008). A review of supplier selection methods in manufacturing industries. Warasan Technology Suranaree, 15(3), 201-208.

Tramarico, C. L., Mizuno, D., Salomon, V. A. P., & Marins, F. A. S. (2015). Analytic hierarchy process and supply chain management: a bibliometric study. Procedia Computer Science, 55, 441-450. http://dx.doi.org/10.1016/j.procs.2015.07.005.

Tsinidou, M., Gerogiannis, V., & Fitsilis, P. (2010). Evaluation of the factors that determine quality in higher education: an empirical study. Quality Assurance in Education, 18(3), 227-244. http://dx.doi.org/10.1108/09684881011058669.

Zhang, W., & Wu, X. (2013). The importance of Supply Chain Management. International Journal of Business and Social Science, 4(16), 279-282.

Zhou, Y., Xu, L., & Muhammad Shaikh, G. (2019). Evaluating and prioritizing the green supply chain management practices in pakistan: based on delphi and Fuzzy AHP approach. Symmetry, 11(11), 1346. http://dx.doi.org/10.3390/sym11111346.

Zhu, Q., & Geng, Y. (2013). Drivers and barriers of extended supply chain practices for energy saving and emission reduction among Chinese manufacturers. Journal of Cleaner Production, 40, 6-12. http://dx.doi.org/10.1016/j.jclepro.2010.09.017.
 


Submitted date:
06/09/2021

Accepted date:
12/20/2021

61f91d05a9539573ac08d7b4 production Articles
Links & Downloads

Production

Share this page
Page Sections