The Warehouse Revolution Transforming Supply Chain Performance Through Smart Operations and Digital Innovation

Ahmad Fauzi Ahmad Zaini (1) , Shahri Abu Seman (1) , Muhamad Nizam Jali (1)
(1) Institute of Graduate Studies, Universiti Poly-Tech Malaysia, 56100 Kuala Lumpur, Malaysia, Malaysia

Abstract

The transformation of warehouse operations has become increasingly important as organisations respond to growing electronic commerce, shorter fulfilment cycles, greater product variety, changing customer expectations, and increasing supply chain complexity. This article examines the transformation of modern warehousing through smart operations and digital innovation and considers their contribution to stronger supply chain performance. The analysis focuses on four interconnected areas comprising operational efficiency and responsiveness, smart automation and robotics, workforce capability, and digital information integration. The article identifies several critical issues affecting warehouse transformation, including rising operational complexity, high automation investment and technology integration requirements, workforce readiness, and fragmented digital information. These challenges demonstrate that technological adoption alone is insufficient to create effective smart warehouse operations. Instead, organisations require an integrated approach that combines operational planning, appropriate automation, employee development, information connectivity, and analytical capability. The article proposes strengthening integrated warehouse planning, adopting automation through a phased and operationally aligned strategy, developing human centred workforce capabilities, and building integrated digital information and analytics systems. Overall, smart warehouse transformation can strengthen responsiveness, visibility, flexibility, resource utilisation, and supply chain performance when technology, people, processes, and information are strategically integrated. The article provides a comprehensive perspective on how warehouses can progress from conventional operational facilities towards smarter and more connected components of modern supply chains.

Full text article

Generated from XML file

References

Abdullah, F. I., Yusof, M. S., & Abu Seman, S. (2020). Strategic Warehouse Management and Supply Chain Performance in a Changing Business Environment. The Asian Journal of Professional & Business Studies, 1(2), 73–89. https://doi.org/10.61688/ajpbs.v1i2.155

Abd Wahab, N. S., & Yusof, M. S. (2020). Ergonomic Work Design and Its Influence on Healthcare Professionals’ Well-being and Performance. The Asian Journal of Professional & Business Studies, 1(2), 90–107. https://doi.org/10.61688/ajpbs.v1i2.298

Arunachalam, D., Kumar, N., & Kawalek, J. P. (2018). Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice. Transportation Research Part E: Logistics and Transportation Review, 114, 416–436. https://doi.org/10.1016/j.tre.2017.04.001

Ataseven, C., & Nair, A. (2017). Assessment of supply chain integration and performance relationships: A meta-analytic investigation of the literature. International Journal of Production Economics, 185, 252–265. https://doi.org/10.1016/j.ijpe.2017.01.007

Azadeh, K., De Koster, R., & Roy, D. (2019). Robotized and automated warehouse systems: Review and recent developments. Transportation Science, 53(4), 917–945. https://doi.org/10.1287/trsc.2018.0873

Barros, Í. R. C., & Nascimento, T. P. (2021). Robotic mobile fulfillment systems: A survey on recent developments and research opportunities. Robotics and Autonomous Systems, 137, 103729. https://doi.org/10.1016/j.robot.2021.103729

Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: A literature review. International Journal of Production Research, 57(15–16), 4719–4742. https://doi.org/10.1080/00207543.2017.1402140

Boysen, N., Briskorn, D., & Emde, S. (2017). Parts to picker based order processing in a rack moving mobile robots environment. European Journal of Operational Research, 262(2), 550–562. https://doi.org/10.1016/j.ejor.2017.03.053

Boysen, N., De Koster, R., & Weidinger, F. (2019). Warehousing in the e-commerce era: A survey. European Journal of Operational Research, 277(2), 396–411. https://doi.org/10.1016/j.ejor.2018.08.023

Büyüközkan, G., & Göçer, F. (2018). Digital supply chain: Literature review and a proposed framework for future research. Computers in Industry, 97, 157–177. https://doi.org/10.1016/j.compind.2018.02.010

Cimini, C., Lagorio, A., Pirola, F., & Pinto, R. (2019). Exploring human factors in Logistics 4.0: Empirical evidence from a case study. IFAC-PapersOnLine, 52(13), 2183–2188. https://doi.org/10.1016/j.ifacol.2019.11.529

De Koster, R., Le-Duc, T., & Roodbergen, K. J. (2007). Design and control of warehouse order picking: A literature review. European Journal of Operational Research, 182(2), 481–501. https://doi.org/10.1016/j.ejor.2006.07.009

Dubey, R., Gunasekaran, A., & Childe, S. J. (2019). Big data analytics capability in supply chain agility: The moderating effect of organizational flexibility. Management Decision, 57(8), 2092–2112. https://doi.org/10.1108/MD-01-2018-0119

Faber, N., De Koster, R., & Smidts, A. (2013). Organizing warehouse management. International Journal of Operations & Production Management, 33(9), 1230–1256. https://doi.org/10.1108/IJOPM-12-2011-0471

Fragapane, G., De Koster, R., Sgarbossa, F., & Strandhagen, J. O. (2021). Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda. European Journal of Operational Research, 294(2), 405–426. https://doi.org/10.1016/j.ejor.2021.01.019

Frederico, G. F., Garza-Reyes, J. A., Anosike, A., & Kumar, V. (2020). Supply Chain 4.0: Concepts, maturity and research agenda. Supply Chain Management: An International Journal, 25(2), 262–282. https://doi.org/10.1108/SCM-09-2018-0339

Grosse, E. H., Glock, C. H., & Neumann, W. P. (2017). Human factors in order picking: A content analysis of the literature. International Journal of Production Research, 55(5), 1260–1276. https://doi.org/10.1080/00207543.2016.1186296

Gu, J., Goetschalckx, M., & McGinnis, L. F. (2007). Research on warehouse operation: A comprehensive review. European Journal of Operational Research, 177(1), 1–21. https://doi.org/10.1016/j.ejor.2006.02.025

Gu, J., Goetschalckx, M., & McGinnis, L. F. (2010). Research on warehouse design and performance evaluation: A comprehensive review. European Journal of Operational Research, 203(3), 539–549. https://doi.org/10.1016/j.ejor.2009.07.031

Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308–317. https://doi.org/10.1016/j.jbusres.2016.08.004

Hofmann, E., & Rüsch, M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, 89, 23–34. https://doi.org/10.1016/j.compind.2017.04.002

Hübner, A., Holzapfel, A., & Kuhn, H. (2016). Distribution systems in omni-channel retailing. Business Research, 9(2), 255–296. https://doi.org/10.1007/s40685-016-0034-7

Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829–846. https://doi.org/10.1080/00207543.2018.1488086

Jaghbeer, Y., Hanson, R., & Johansson, M. I. (2020). Automated order picking systems and the links between design and performance: A systematic literature review. International Journal of Production Research, 58(15), 4489–4505. https://doi.org/10.1080/00207543.2020.1788734

Kache, F., & Seuring, S. (2017). Challenges and opportunities of digital information at the intersection of big data analytics and supply chain management. International Journal of Operations & Production Management, 37(1), 10–36. https://doi.org/10.1108/IJOPM-02-2015-0078

Lim, S. F. W. T., Jin, X., & Srai, J. S. (2018). Consumer-driven e-commerce: A literature review, design framework, and research agenda on last-mile logistics models. International Journal of Physical Distribution & Logistics Management, 48(3), 308–332. https://doi.org/10.1108/IJPDLM-02-2017-0081

Masae, M., Glock, C. H., & Grosse, E. H. (2020). Order picker routing in warehouses: A systematic literature review. International Journal of Production Economics, 224, 107564. https://doi.org/10.1016/j.ijpe.2019.107564

Masae, M., Glock, C. H., & Vichitkunakorn, P. (2021). A method for efficiently routing order pickers in the leaf warehouse. International Journal of Production Economics, 234, 108069. https://doi.org/10.1016/j.ijpe.2021.108069

Neumann, W. P., Winkelhaus, S., Grosse, E. H., & Glock, C. H. (2021). Industry 4.0 and the human factor: A systems framework and analysis methodology for successful development. International Journal of Production Economics, 233, 107992. https://doi.org/10.1016/j.ijpe.2020.107992

Queiroz, M. M., Pereira, S. C. F., Telles, R., & Machado, M. C. (2021). Industry 4.0 and digital supply chain capabilities. Benchmarking: An International Journal, 28(5), 1761–1782. https://doi.org/10.1108/BIJ-12-2018-0435

Richards, G. (2018). Warehouse management: A complete guide to improving efficiency and minimizing costs in the modern warehouse (3rd ed.). Kogan Page.

Staudt, F. H., Alpan, G., Di Mascolo, M., & Rodriguez, C. M. T. (2015). Warehouse performance measurement: A literature review. International Journal of Production Research, 53(18), 5524–5544. https://doi.org/10.1080/00207543.2015.1030466

Van Gils, T., Ramaekers, K., Caris, A., & De Koster, R. B. M. (2018). Designing efficient order picking systems by combining planning problems: State-of-the-art classification and review. European Journal of Operational Research, 267(1), 1–15. https://doi.org/10.1016/j.ejor.2017.09.002

Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J. F., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356–365. https://doi.org/10.1016/j.jbusres.2016.08.009

Winkelhaus, S., & Grosse, E. H. (2020). Logistics 4.0: A systematic review towards a new logistics system. International Journal of Production Research, 58(1), 18–43. https://doi.org/10.1080/00207543.2019.1612964

Winkelhaus, S., Grosse, E. H., & Morana, S. (2021). Towards a conceptualisation of Order Picking 4.0. Computers & Industrial Engineering, 159, 107511. https://doi.org/10.1016/j.cie.2021.107511

Yusof, M. S. (2022). Strengthening warehouse operations through Integrated Safety Management Practices: bi. The Asian Journal of Professional & Business Studies, 1(2), 56–72. https://doi.org/10.61688/ajpbs.v1i2.150

Yusof, M. S., & Abd Wahab, N. S. (2020). Advancing Sustainable Healthcare Workplaces Through Human Centred Ergonomic Work Design. The Asian Journal of Professional & Business Studies, 1(2), 108–126. https://doi.org/10.61688/ajpbs.v1i2.330

Yusof, M. S., & Abd Wahab, N. S. (2020). Transforming Healthcare Work Systems Through Human-Centred Ergonomic Innovation. The Asian Journal of Professional & Business Studies, 1(1), 93–110. https://doi.org/10.61688/ajpbs.v1i1.134

Yusof, M. S., & Abd Wahab, N. S. (2020). Strengthening Hospital Management Through Ethical Leadership and Professional Integrity. The Asian Journal of Professional & Business Studies, 1(1), 59–75. https://doi.org/10.61688/ajpbs.v1i1.8

Yusof, M. S., & Abd Wahab, N. S. (2021). Balancing technology and ethics in the transformation of modern hospital healthcare. The Asian Journal of Professional & Business Studies, 2(1), 16–34. https://doi.org/10.61688/ajpbs.v2i1.146

Yusof, M. S., & Razali, H. (2020). Navigating Organisational Uncertainty Through Risk Perception and Managerial Judgement. The Asian Journal of Professional & Business Studies, 1(1), 76–92. https://doi.org/10.61688/ajpbs.v1i1.69

Yusof, M. S., Salleh, M. N., & Zahari, F. M. (2020). The Relationship between Information Technology Capability and New Product Development Success: A Conceptual Framework. International Journal of Business and Technology Management, 2(1), 98-112.

Yusof, M. S., Salleh, M. N., & Zahari, F. M. (2020). The Relationship between NPD Process and NPD Strategy toward NPD Success in Malaysian Automotive Industry. Asian Journal of Research in Business and Management, 2(1), 11-26.

Yusof, M. S., & Salleh, M. N. (2021). Beyond manufacturing towards innovation-driven new product development in Malaysia’s automotive industry. The Asian Journal of Professional & Business Studies, 2(1), 35–52. https://doi.org/10.61688/ajpbs.v2i1.152

Zhan, Y., & Tan, K. H. (2020). An analytic infrastructure for harvesting big data to enhance supply chain performance. European Journal of Operational Research, 281(3), 559–574. https://doi.org/10.1016/j.ejor.2018.09.018

Authors

Ahmad Fauzi Ahmad Zaini
ahmadfauzi@uptm.edu.my (Primary Contact)
Shahri Abu Seman
Muhamad Nizam Jali
Ahmad Zaini, A. F., Abu Seman, S., & Jali, M. N. (2021). The Warehouse Revolution Transforming Supply Chain Performance Through Smart Operations and Digital Innovation. The Asian Journal of Professional & Business Studies, 2(2), 104–122. https://doi.org/10.61688/ajpbs.v2i2.380

Article Details

Most read articles by the same author(s)