supply chain management system
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2021 ◽  
Author(s):  
Md Abdur Rahman ◽  
Syed M. Belal

Abstract Keeping track of the oil and gas supply chain is challenging task as the route and transportation requires sophisticated security environment - both physical systems’ and IT systems’ security. Thanks to the recent advancement in IoT, specialized sensors can keep track of the required supply chain environment. With the help of blockchain, the supply chain data can be immutably saved for further sharing with stakeholders. Due to the introduction of AI as an embedded element within 6G networks, the end-to-end supply chain process can now be automated for safety, security, and efficiency purposes. By leveraging 6G, AI, blockchain, and IoT, the supply chain data during the transportation or at rest can be monitored for any changed environment during the movement of the ship through national or international routes. In this paper, we study the requirements of such intelligent and secure supply chain management system conducive to the oil and gas industry. We also show our proof-of-concept implementation and initial test results. Our obtained results show promising prospect of the current system to be deployed to safeguard the oil and gas supply chain.


2021 ◽  
Vol 5 (3) ◽  
pp. 54-68
Author(s):  
Oluwarotimi Odunayo Akintokunbo ◽  
Biebele Emmanuel Arimie

Nigeria has abundant deposit and supply of accessible crude oil and gas resources and it remains the mainstay of her economy. The oil and gas industry in Nigeria is a part of the global oil and gas market which depends on effective and efficient supply-chain management system for the seamless procurement of goods and services (domestic and international), logistics, operations and production management, warehousing, storage of goods from organisations supplier’s suppliers to the customer’s customers with the help of adequate use of modern information and communication technology. The purpose of this study was to examine supply chain management: a game changer in the oil and gas industry in Nigeria. The paper is largely a literature review, hence a desk research methodology was adopted. The paper revealed that the industry offers a classic model for changing the competition game in the sector through a lean, innovative and environmentally sustainable integrated supply chain management system, as today’s competition is no longer between organizations, but among supply chains that compete to reduce their cost of acquisition, production, logistics and warehousing along the chain while delivering customers products and services of quality at the right time, quantity and quality, at the right place and total cost, and creating value throughout the chain.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hariprasath Manoharan ◽  
Yuvaraja Teekaraman ◽  
Ramya Kuppusamy ◽  
Arun Radhakrishnan ◽  
Mohamed Yaseen Jabarulla

In this article, data processing of a supply chain management system has been monitored using the Internet of Space (IoS) which can be able to create possessions for managing the business process. In modern circumstances, many business inventiveness are trading and exporting products on their possession, but in many cases, information on such manufactured products is not monitored in an effective manner. To overcome the abovementioned issue, a precise model of monitoring several distributed products in supply chain management has been introduced with high sustainability error reduction. The framed model in the management process has been integrated with the boosting algorithm, a type of machine learning algorithm where training dataset has been introduced appropriately. This variation in the incorporation of the boosting optimization process not only increases the efficiency of the proposed model but also attempts to prove the success strategy under five different scenarios, where after sequential tests IoS model delivers high improvement in the distribution process for an average percentile of 67% than the existing methods.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Changhong Pan ◽  
Meng Liu

Based on the in-depth study of two technologies, wireless sensor network, and RFID technology, this paper proposes a corresponding solution to the urgent storage positioning problem and the safety of goods in transit in the logistics supply chain process. And on this basis, it broadens the whole logistics process of warehousing and distribution and designs a framework of intelligent logistics supply chain management system with wireless sensor network and RFID technology to realize the management process of logistics main business. For the problems of complicated hardware wiring, the excessive number of positioning nodes and low effective coverage rate of traditional RFID-based positioning methods in large-scale warehousing environment, the integrated RFID and wireless sensor network fusion technology constructs a new movable anchor node, divides the nodes in the traditional positioning process into fixed anchors and mobile anchors, proposes a secondary positioning method, improves positioning accuracy and effective coverage rate, and provides a new positioning method for large-scale storage environment. For the transportation of goods in transit, especially precious and dangerous goods, a six-axis acceleration sensor-based method for detecting the behavioral attitude of goods in transit is proposed. Time window slicing of cargo motion data stream is performed to reduce data processing and based on the statistical features of a large amount of experimental data, and feature vectors and classifiers are analyzed and designed to achieve behavioral attitude classification of goods in transit. The experiment proves that this method has high recognition accuracy and has certain practical application value. Finally, the whole storage and distribution logistics process is integrated, the framework of intelligent logistics supply chain management system combining WSN and RFID is built based on wireless sensor network software and hardware platform, and the detailed design of logistics supply chain management system business process is mainly carried out. Combined with the two key methods proposed in this paper, the information management process of traditional logistics business such as access, storage positioning and monitoring, and distribution monitoring and management is realized, and the management system is tested on this basis. The testing effect proves that this system has certain deployment reference significance and practical application value and to a certain extent can help improve the intelligence level of logistics supply chain management and achieve the expected goal of this study.


2021 ◽  
Vol 12 (2) ◽  
pp. 159
Author(s):  
Li-Wei Lin ◽  
Shih-Yung Wei

E-management innovation system in recent years, the supply chain management system has been continuously upgrading and innovating, the main purpose is to improve the efficiency of its supply chain and reduce costs. This study investigates the effect of e-management system on supply chain efficiency. We use three assumptions to design, information technology innovation, information environment, relationship risk to do in-depth discussion on whether the efficiency of the supply chain will be affected. In this study, the Likert seven-point scale was used to design the survey method. In this study, N=331 questionnaires were issued, and 195 questionnaires were finally available, which met the minimum sample number. The main object of this study is to investigate the senior executives in zhejiang electronics industry. This result proves that e-management innovation system can improve the efficiency of its supply chain. We observed and verified the correlation results through three dependent variables and one fruit variable.


Author(s):  
Oryza Putri Suriana ◽  
Alfan Reynaldo ◽  
Muhammad Dwi Ferdian Suwardi ◽  
Indra Kusumadi Hartono

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