Smart Logistics Management in the Age of Digital Transformation: A Systematic Literature Review

Yıl 2024, Cilt: 13 Sayı: 1, 11 - 31, 31.03.2024

Yeşim Can Sağlam

https://doi.org/10.15869/itobiad.1283253

Öz

Recently, the Industry 4.0 paradigm has commenced to swiftly grow in the supply chain management and logistics fields. Despite this development in the logistics and supply chain management domain, the investigations of smart logistics (also known as logistics 4.0) are still in maturity. Especially, some areas such as the drivers and inhibitors of smart logistics are still an adequately unexplored area. On the other hand, smart logistics provides highly practical solutions to overcome the increasing difficulties in logistics operations by enabling worldwide cooperation. For this reason, studies in the field of smart logistics are of critical importance. This study addresses this gap by investigating the driving factors to facilitate and barriers to the adoption of smart logistics in the context of the extant literature. A systematic literature review was conducted to provide a comprehensive result to capture the dynamics and benefits of smart logistics and identify barriers deserving of further academic interest. To summarize the novel investigations in this domain, forty (40) papers were chosen and properly analyzed. As a result of the analysis, it was revealed that there are 6 main barriers preventing the adoption and implementation of smart logistics. These are risk-related barriers, data and technology-related barriers, organizational-related barriers, human resource-related barriers, economic-related barriers, and regulation-related barriers. On the other hand, as a result of the literature review, critical factors (such as investing in smart logistics, developing technological infrastructure, generating organizational culture or mission toward smart logistics, and providing top management support) that will both overcome these obstacles and facilitate the adoption of smart logistics have been determined. The accumulation of knowledge and provided insights in this research will provide advantages for both practitioners and academics interested in this emerging novel technology segment.

Anahtar Kelimeler

Logistics, Smart Logistics, Logistics 4.0, Supply Chain Management, Smart Logistics Barriers

Dijital Dönüşüm Çağında Akıllı Lojistik Yönetimi: Sistematik Literatür İncelemesi

Öz

Son zamanlarda Endüstri 4.0 paradigması, tedarik zinciri yönetimi ve lojistik alanında hızlı bir şekilde yayılmaya başladı. Lojistik ve tedarik zinciri yönetimi alanındaki bu önemli gelişmeye rağmen, lojistik 4.0 olarak da bilinen akıllı lojistik üzerindeki araştırmalar yeterince gelişmedi. Özellikle, akıllı lojistiğin uygulanmasını olumlu yönde etkileyen faktörler ve uygulanmasının önündeki engeller gibi bazı önemli konular yeterince araştırılmamıştır. Hâlbuki akıllı lojistik, dünya çapında iş birliği yapılmasını mümkün kılarak, lojistik operasyonları alanındaki artan zorlukları aşmada son derece pratik çözümler sunmaktadır. Bu nedenle akıllı lojistik alanında yapılan çalışmalar kritik öneme sahiptir. Bu çalışma, mevcut literatürü göz önünde bulundurarak akıllı lojistiğin benimsenmesini kolaylaştıran itici faktörleri ve uygulanmasının önündeki engelleri araştırarak literatürdeki bu boşluğu doldurmaya çalışmaktadır. Çalışma bağlamında, akıllı lojistiği mümkün kılan faktörleri ve uygulanmasını engelleyen bariyerleri belirlemek için kapsamlı bir sistematik literatür taraması yapıldı. Bu alandaki ilgili çalışmalar tespit edilerek, kırk (40) makale seçildi ve detaylı bir şekilde analiz edildi. Analiz sonucunda, akıllı lojistiğin benimsenmesini ve uygulanmasını engelleyen 6 ana engelin olduğu ortaya konuldu. Bunlar: Risk ile ilişkili engeller, veri ve teknoloji ile ilgili engeller, organizasyon ile ilgili engeller, insan kaynakları ile ilişkili engeller, ekonomi ile ilgili engeller ve yönetmelik ile ilgili engellerdir. Buna karşılık, literatür incelemeleri sonucunda hem bu engellerin üstesinden gelmeyi sağlayacak hem de akıllı lojistiğin benimsenmesini kolaylaştıracak kritik faktörler (akıllı lojistiğe yönelik yatırımların yapılması, teknolojik alt yapının geliştirilmesi, akıllı lojistiğe yönelik organizasyonda kurumsal kültür veya misyon oluşturulması, üst yönetim desteğinin sağlanması gibi) belirlendi. Bu araştırmadan elde edilen sonuçların, hem ortaya çıkan bu yeni teknoloji segmentiyle ilgilenen uygulayıcılara hem de akademisyenlere avantajlar sağlayacağı düşünülmektedir.

Anahtar Kelimeler

Lojistik, Akıllı Lojistik, Lojistik 4.0, Tedarik Zinciri Yönetimi, Akıllı Lojistik Engelleri

Kaynakça

• Affia, I., & Aamer, A. (2021). An internet of things-based smart warehouse infrastructure: design and application. Journal of Science and Technology Policy Management, 13(1), 90-109.
• Bag, S., Gupta, S., & Luo, Z. (2020). Examining the role of logistics 4.0 enabled dynamic capabilities on firm performance. The International Journal of Logistics Management, 31(3), 607-628.
• Büyüközkan, G., & Ilıcak, Ö. (2021). Smart urban logistics: Literature review and future directions. Socio-Economic Planning Sciences, 101197.
• Čámská, D., & Klečka, J. (2020). Cost development in logistics due to industry 4.0. LogForum, 16(2).
• Chauhan, S., Agarwal, N., & Kar, A. K. (2016). Addressing big data challenges in smart cities: a systematic literature review. info, 18(4), 73-90.
• Chen, X., Chen, R., & Yang, C. (2022). Research to key success factors of intelligent logistics based on IoT technology. The Journal of Supercomputing, 78(3), 3905-3939.
• Cimini, C., Lagorio, A., Pirola, F., & Pinto, R. (2021). How human factors affect operators' task evolution in Logistics 4.0. Human Factors and Ergonomics in Manufacturing & Service Industries, 31(1), 98-117.
• Correa, J. S., Sampaio, M., Barros, R. D. C., & Hilsdorf, W. D. C. (2020). IoT and BDA in the Brazilian future logistics 4.0 scenario. Production, 30.
• Çalışkan, A. (2020). Akıllı Liman Dönüşümünde Zorlukların Yorumlayıcı Yapısal Modelleme İle Değerlendirilmesi. Beykoz Akademi Dergisi, 8(1), 305-320.
• D’Amico, G., Szopik-Depczyńska, K., Dembińska, I., & Ioppolo, G. (2021). Smart and sustainable logistics of Port cities: A framework for comprehending enabling factors, domains and goals. Sustainable Cities and Society, 69, 102801.
• Dallasega, P., Woschank, M., Sarkis, J., & Tippayawong, K. Y. (2022). Logistics 4.0 measurement model: empirical validation based on an international survey. Industrial Management & Data Systems, (ahead-of-print).
• Ding, Y., Jin, M., Li, S., & Feng, D. (2021). Smart logistics based on the internet of things technology: an overview. International Journal of Logistics Research and Applications, 24(4), 323-345.
• Evangelista, P., Santoro, L., & Thomas, A. (2018). Environmental sustainability in third-party logistics service providers: A systematic literature review from 2000–2016. Sustainability, 10(5), 1627.
• Feng, B., & Ye, Q. (2021). Operations management of smart logistics: A literature review and future research. Frontiers of Engineering Management, 8, 344-355.
• Govindan, K., Cheng, T. E., Mishra, N., & Shukla, N. (2018). Big data analytics and application for logistics and supply chain management. Transportation Research Part E: Logistics and Transportation Review, 114, 343-349.
• Gregor, T., Krajčovič, M., & Więcek, D. (2017). Smart connected logistics. Procedia Engineering, 192, 265-270.
• Hannan, M. A., Al Mamun, M. A., Hussain, A., Basri, H., & Begum, R. A. (2015). A review on technologies and their usage in solid waste monitoring and management systems: Issues and challenges. Waste Management, 43, 509-523.
• Jagtap, S., Bader, F., Garcia-Garcia, G., Trollman, H., Fadiji, T., & Salonitis, K. (2020). Food logistics 4.0: Opportunities and challenges. Logistics, 5(1), 2.
• Jamkhaneh, H. B., Shahin, R., & Tortorella, G. L. (2022). Analysis of Logistics 4.0 service quality and its sustainability enabler scenarios in emerging economy. Cleaner Logistics and Supply Chain, 4, 100053.
• Karlı, H., & Tanyaş, M. (2020). Lojistik yönetiminin dijital dönüşümü: akıllı lojistik üzerine sistematik literatür haritalaması. Optimum Ekonomi ve Yönetim Bilimleri Dergisi, 7(2), 613-632.
• Khan, S. A., Laalaoui, W., Hokal, F., Tareq, M., & Ahmad, L. (2022a). Connecting reverse logistics with circular economy in the context of Industry 4.0. Kybernetes, (ahead-of-print).
• Khan, S., Singh, R., Haleem, A., Dsilva, J., & Ali, S. S. (2022b). Exploration of critical success factors of logistics 4.0: a DEMATEL approach. Logistics, 6(1), 13.
• Kodym, O., Kubáč, L., & Kavka, L. (2020). Risks associated with Logistics 4.0 and their minimization using Blockchain. Open Engineering, 10(1), 74-85.
• Kucukaltan, B., Saatcioglu, O. Y., Irani, Z., & Tuna, O. (2022). Gaining strategic insights into Logistics 4.0: expectations and impacts. Production Planning & Control, 33(2-3), 211-227.
• Liu, W., Wei, S., Liang, Y., Wang, D., & Wang, J. (2021a). Influencing factors on organizational efficiency of smart logistics ecological chain: a multi-case study in China. Industrial Management & Data Systems.
• Liu, W., Wei, W., Yan, X., Dong, D., & Chen, Z. (2020a). Sustainability risk management in a smart logistics ecological chain: An evaluation framework based on social network analysis. Journal of Cleaner Production, 276, 124189.
• Liu, W., Zhang, J., Wei, S., & Wang, D. (2021b). Factors influencing organisational efficiency in a smart-logistics ecological chain under e-commerce platform leadership. International Journal of Logistics Research and Applications, 24(4), 364-391.
• Mahroof, K. (2019). A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse. International Journal of Information Management, 45, 176-190.
• McFarlane, D., Giannikas, V., & Lu, W. (2016). Intelligent logistics: Involving the customer. Computers in Industry, 81, 105-115.
• Montreuil, B. (2011). Toward a Physical Internet: meeting the global logistics sustainability grand challenge. Logistics Research, 3, 71-87.
• Okwu, M. O., & Tartibu, L. K. (2020). Sustainable supplier selection in the retail industry: A TOPSIS-and ANFIS-based evaluating methodology. International journal of engineering business management, 12, 1847979019899542.
• Parhi, S., Joshi, K., Gunasekaran, A., & Sethuraman, K. (2022). Reflecting on an empirical study of the digitalization initiatives for sustainability on logistics: The concept of sustainable logistics 4.0. Cleaner Logistics and Supply Chain, 4, 100058.
• Perotti, S., Bastidas Santacruz, R. F., Bremer, P., & Beer, J. E. (2022). Logistics 4.0 in warehousing: a conceptual framework of influencing factors, benefits and barriers. The International Journal of Logistics Management, 33(5), 193-220.
• Prajapati, D., Harish, A. R., Daultani, Y., Singh, H., & Pratap, S. (2023). A clustering based routing heuristic for last-mile logistics in fresh food E-commerce. Global Business Review, 24(1), 7-20.
• Rejeb, A., Keogh, J. G., Leong, G. K., & Treiblmaier, H. (2021). Potentials and challenges of augmented reality smart glasses in logistics and supply chain management: A systematic literature review. International Journal of Production Research, 59(12), 3747-3776.
• Sarkar, B. D., Shankar, R., & Kar, A. K. (2022). Severity analysis and risk profiling of port logistics barriers in the Industry 4.0 era. Benchmarking: An International Journal, (ahead-of-print).
• Sgarbossa, F., Grosse, E. H., Neumann, W. P., Battini, D., & Glock, C. H. (2020). Human factors in production and logistics systems of the future. Annual Reviews in Control, 49, 295-305.
• Sharma, V. P., Prakash, S., & Singh, R. (2022). What Prevents Sustainable Last-Mile Delivery in Industry 4.0? An Analysis and Decision Framework. Sustainability, 14(24), 16423.
• Silva, N., Barros, J., Santos, M. Y., Costa, C., Cortez, P., Carvalho, M. S., & Gonçalves, J. N. (2021). Advancing logistics 4.0 with the implementation of a big data warehouse: a demonstration case for the automotive industry. Electronics, 10(18), 2221.
• Stachowiak, A., Adamczak, M., Hadas, L., Domański, R., & Cyplik, P. (2019). Knowledge absorption capacity as a factor for increasing logistics 4.0 maturity. Applied Sciences, 9(24), 5365.
• Susanty, A., Putri, V. A., & Purwanggono, B. (2022). Proposed Policy to Manage the Barrier of the Implementation of Intelligent Transportation System. International Journal of Intelligent Transportation Systems Research, 20(2), 540-559.
• Tekin, M., Öztürk, D., & Bahar, İ. (2020). Akıllı lojistik faaliyetlerinde blokzincir teknolojisi. Kent Akademisi, 13(3), 570-583.
• Tran-Dang, H., Krommenacker, N., Charpentier, P., & Kim, D. S. (2022). The Internet of Things for logistics: Perspectives, application review, and challenges. IETE Technical Review, 39(1), 93-121.
• Windt, K., & Hülsmann, M. (2007). Changing paradigms in logistics—understanding the shift from conventional control to autonomous cooperation and control. Understanding autonomous cooperation and control in logistics: The impact of autonomy on management, information, communication and material flow, 1-16.
• 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.
• Yan, X., Liu, W., Lim, M. K., Lin, Y., & Wei, W. (2022). Exploring the factors to promote circular supply chain implementation in the smart logistics ecological chain. Industrial Marketing Management, 101, 57-70.
• Yildiz Çankaya, S., Can Saglam, Y. and Sezen, B. (2022), "Mapping the landscape of organizational theories for future research themes in supply chain risk management", Asia-Pacific Journal of Business Administration, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/APJBA-07-2021-0345
• Zhang, A., Venkatesh, V. G., Liu, Y., Wan, M., Qu, T., & Huisingh, D. (2019). Barriers to smart waste management for a circular economy in China. Journal of Cleaner Production, 240, 118198.
• Zoubek, M., & Šimon, M. (2021). The Framework for Logistics 4.0 Maturity Model with a Specification for Internal Logistics.