The Sustainable Logistics: Big Data Analytics and Internet of Things

Abstract

The presence of IoT technology in Indonesia has made many industries grow rapidly, especially in data management in large companies. The aim of this journal is to discuss one of the 'smart' solutions that can be recognized as an innovative solution in both the technology and organizational fields presented by a telecommunications company in Indonesia. This solution can be implemented in the logistics industry, which in the era of globalization plays a very important role. But not only in the logistics industry, the smart logistic solutions discussed can also be used in several other industries such as retail, warehousing, transportation, manufacturing and mining. The feature of the smart logistic device already uses big data analysis which is known to process and use real time data. All of the features carried by the smart logistics are not only aimed at reducing distribution costs but also optimizing the distribution system of goods. The direct impact felt by user companies is that their productivity has increased dramatically because they can set delivery destinations that have been adjusted according to the zoning system, look for traffic-free paths, and so on. The pace of modern economic development encourages companies to introduce more new solutions, resulting in innovations that drive market progress. This research aim is to discuss about how to resolve the problem that was encountered by logistic companies by of implementing logistics IT solutions which consists of Big Data Analytic and Internet of Thing. So big data IoT like that requires an appropriate analytical framework to generate knowledge to measure operational efficiency, distribution, machine renovation, and so on inside the enterprise. The research method used in this article is library research or literature review, this research begins with the problem identification, hence looking source and information, data collection and information, analysis and processing the gathered information and create a conclusion. One of conclusions of this research is All the features of the Nextfleet application as well as the development of Advanced Driver Assisted System (ADAS) technology and Intelligent Telematics Surveillance enable the Nextfleet application to be applied not only to the logistics industry but also other industries such as retail, warehousing, transportation, manufacturing, and mining.

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

“…In farming, IoT is used to monitor the rice paddy environment and predict the plant's water level, saving wasted water and energy in the process [31]. Across industries, Tannady et al [32] state that IoT's uses and benefits within logistics are limitless.…”

“…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.…”