Artificial Intelligence Applications in the New Model of Logistics Development Based on Wireless Communication Technology

Abstract

With the continuous development of artificial intelligence technology, the supply chain logistics industry has shown new changes. The products of the intelligent era such as smart devices, big data computing, and Internet of Things technology have gradually become the transformation and innovation of logistics and supply chain enterprises. The important driving force of the logistics and supply chain industry will greatly improve the operational efficiency of the logistics and supply chain industry. Methods. This article studies the technical framework of artificial intelligence and explores the upgrading and transformation of supply chain logistics enterprises in logistics infrastructure, production tools, and logistics operation processes under the promotion of artificial intelligence technology, from warehouse location, inventory management, warehousing operations, transportation, and distribution. The data analysis and prediction analyze the impact of artificial intelligence on the supply chain logistics field and finally point out the problems in the intelligent development of the supply chain logistics field and put forward targeted suggestions to promote the modern supply chain logistics to become more intelligent. developThe new development trend of smart logistics is towards sharing economy, automation, service efficiency, and cost reduction. Results. In this context, if logistics companies want to achieve higher-quality development, they cannot do without business model innovation and larger-scale collaboration, transparency of logistics information, and more comprehensive information sharing. The new trend of the development of smart logistics is to develop in the direction of sharing economy, automation, service efficiency, and cost reduction. Conclusion. Intelligence and the Internet of Things are the inevitable trend of the development of smart logistics, which is mainly realized through the Internet of Things path in terms of visual information technology, intelligent robot operation, vehicle scheduling, and cargo traceability.

Logistics 4.0: Exploring Artificial Intelligence Trends in Efficient Supply Chain Management

“…The integration of meaningful AI applications into international logistics teaching models highlights the importance of orienting education towards the competencies required for 21st century citizens. (17,18,19,20,21) During the research and data collection phase, several reiterative evidences were highlighted as a result of a thorough analysis of the existing literature on AI learning. (22) This evidence highlights key areas of opportunity and integration, focusing on understanding the fundamentals of machine learning and its practical applications in logistics optimization.…”

“…(23) The cross-cutting nature of engineering in this educational approach is notable, with skills in data analytics and statistics becoming critically relevant to the interpretation of vital supply chain information. (17,19,24) In addition, familiarity with advanced techniques, such as natural language processing, is essential for the interpretation of documents, interactions and unstructured data related to logistics. (25) This competence becomes a valuable complement to the traditional educational model, enriching creativity and cooperative work in problem solving.…”

Preliminary model development for archipelago country logistic system

“…Based on previous research, researchers identified 15 dimensions/factors that influence the logistics system in island countries. Those dimensions/factors include demand (Zakharchuk et al, 2022), availability of raw materials (Desai & Bohara, 2021), quality of handling (Okyere et al, 2018;Elis Dwiana Ratnamurni et al, 2022), quality of documentation and logistics information (Muslimov & Shaburova, 2021), reliability of delivery time (Ehmke & Mattfeld, 2010), timing accuracy (Pendem, 2019;Chondrodima et al, 2022;Ogura et al, 2021), costs (Hasanpour Jesri et al, 2023;Cheng et al, 2022;Zakharchuk et al, 2022;Okyere, 2018), warehousing (Sivakumar, 2019), logistics infrastructure capacity (Wang, 2021), connectivity (Bevilacqua, 2022;Pistilli, 2020), services (Anas et al, 2020;Sadowska et al, 2020;Bazaras et al, 2023), institutional (Yashin et al, 2023), competence (Dwijaya Saputra & Kusnadi, 2021Zamkova et al, 2023), education and training (Liu & Yang, 2023), automation (Singh, 2018;Song, 2021).…”

Industrial Internet of Things (IIoT) and Other Industry 4.0 Technologies in Spare Parts Warehousing in the Oil and Gas Industry: A Systematic Literature Review

“…Improper use of sensors in IoT/IIoT Lo et al [82] Collision of RFID tags for IoT Zhong [83] Lack of programmability; lack of software definition; lack of scalability Zhang et al [84] Security issues; integration of new technology with existing ones; return of investment on new technology Hamdy et al [85] Integration; successful transition from manual to digital; managing suppliers and distributors in the new digital system; reducing overall process time Tahir et al [86] Laws, regulations, and policies regarding information sharing that can negatively affect IoT usage Geng et al [87] Limited profitability in using Industry 4.0 technology in manufacturing when producing few items Terelak et al [88] Privacy concerns over digital access; delays in work during downtime; network bandwidth; high energy consumption; interrupted service; resource constraints Alwakeel [89] Lack of purpose and desired business outcome in a company regarding IIoT usage Liu et al [90] Increased electricity usage; increased maintenance costs; job losses; large initial investment; cyber security concerns with shared data Nantee et al [91] Communication delays; sensor interference; hardware faults, especially when relating to automated guided vehicles (AGVs) Chi et al [92] Increased workload when there are few items to work with Dobos et al [93] Outdated supply chain strategies not suitable for new business environments with IoT Chen et al [94] Granting access to appropriate users without compromising information and cyber security Ho et al [52] Various technical, organizational, and ergonomic challenges (especially in relation to augmented reality (AR)) Rejeb et al [95] Complexity of IoT can result in improper usage and technical difficulties Vukicevic et al [96] Lack of readiness for automation and digitization Zoubek et al [97] Lack of professionals with thorough competence in information technology-enabled logistics Wang [98] Lack of an appropriate analytical framework upon which to base IoT usage Tannady et al [32] Table 4 highlights the fear of industrial managers: the potential benefits of technology implementation also constitute the challenges. In Table 2, reduced costs were cited as a benefit.…”