supply chain，blockchain，industry
220428962
Chapter 7 Data and food supply chain Blockchain and GS1 standards in the food chain: a review of the possibilities and challenges
Abstract This chapter examines the integration of GS1 standards with the functional components of Blockchain technology as an approach to realize a coherent standardized framework of industry based tools for successful food supply chain transformation. The vulnerability of food supply chains is explored through traceability technologies and standards with particular attention paid to interoperability.
Building the Future of Food Safety Technology
John G Keogh Abderahman Rejeb Nida Khan Kevin Dean Karen J Hand
208839494
Blockchain technology in supply chain management for sustainable performance: Evidence from the airport industry
Abstract This paper investigates the major implications of blockchain technology for operations management (OM) with a focus on the decision making processes in supply chain management (SCM) from the perspective of sustainable performance. The links between blockchain technology, OM, and sustainability issues within SCM are analysed. This two step research study includes a broad review of the main contributions in the literature that have focused on blockchain technology and OM in SCM. It covers the airport industry from the perspective of sustainable performance and data analysis by reading and processing financial statements, non financial reports, and the website of one strategic airport infrastructure in southern Italy. The Italian airport infrastructure investigated successfully adopted the Airport Collaborative Decision Making (A CDM) platform. This is one of the main blockchain technology applications in the airport industry. It promotes cooperation between the main players in the aviation industry and the air traffic controllers (ATCs) to reduce fragmentation, inefficiency, and uncoordinated operations. It also allows information and data sharing, but it is still not possible to observe a high level of sustainable performance. Although the adoption of blockchain technology presents numerous benefits, especially in improving OM, these new technological solutions do not guarantee the achievement of the best performance in terms of effectiveness, efficiency, and sustainability issues. Managers and policy makers need to work together to create a real forum within their collaborative network in which there is a common culture and mutual trust. This article adds an interesting reading of blockchain technology to the existing research with concerns about OM and sustainability issues within the airport setting in Italy.
Int. J. Inf. Manag.
Assunta Di Vaio Luisa Varriale
181437777
Analysing the impact of blockchain technology for operations and supply chain management: An explanatory model drawn from multiple case studies
Abstract Blockchain technology is said to have a high disruptive potential and can do without an intermediary. Numerous contributions deal with its impact on and possibilities for logistics and supply chains. In this article, we use a multiple case analysis to develop an explanatory model for the interaction of actors in an operational supply chain involving blockchain technology. In addition, we show which intermediary tasks the blockchain could replace and what impact this would have on the industry logic. For this purpose, we analyze the status quo in practice based on a multiple case study with real use cases and find answers to our research questions. The findings of the paper include (1) insights into the impact of blockchain technology on the logistics industry, and (2) the implications and research questions related to blockchain technology and the impact of blockchain technology on business models.
Int. J. Inf. Manag.
Stefan Tonnissen Frank Teuteberg
208829070
Blockchain critical success factors for sustainable supply chain
Abstract Way back the development of Blockchain (BC) technology, Traditional supply chain (TSC) failed to meet the demand of customer of reasonable price with high quality. The current trend is the time to integrate and to make the existing system smarter, automated and sustainable. Researchers are working on the integration of information and communication technology with the supply chain (SC) and continuously endeavor to achieve an efficient SC. This paper is an attempt to study the use of BC technology and a try to develop efficient sustainable supply chain management (SSCM) rather than the inefficient design of supply chain management (SCM) Important variables related to BC are identified from the literature after going through discussion with academician and industry experts. These variables are further analyzed and modeled using Principal Component Analysis (PCA) Fuzzy Decision making trial and evaluation laboratory (DEMATEL) PCA is applied to form the principal factor from these identified variables based on possible correlation. Although, the application of Fuzzy DEMATEL is adopted to identify major causes that help to achieve sustainable supply chain (SSC) after integration of BC technology. The proposed integrated (incorporated) approach of PCA and Fuzzy DEMATEL found six major causes namely Data safety and Decentralization, Accessibility, Laws and Policy, Documentation, Data management, and Quality. This study is revolving around the integrated approach of two streams namely BC related Information technology and SC from Operations. This research represents the significant role of causes, which leads to the integration of BC with the SC resulting in achieving sustainability. BC technology is still in their nuance stage and this study will motivate researcher and industrial practitioners to achieve a more efficient and effective goal in SC practices to achieve sustainability.
Sachin Yadav Surya Prakash Singh
214060419
Blockchain based framework for improving supply chain traceability and information sharing in precast construction
Abstract Precast construction has great potential for driving innovations in clean, safe, high efficient construction methods in the industry. However, current precast supply chain management often faces challenges such as fragmentation, poor traceability, and lack of real time information. To address these challenges, this study builds a novel blockchain based information management framework for a precast supply chain, which extends the applications of blockchain in the domain of construction supply chains. In this study, a blockchain framework and its development processes are presented in detail, and algorithms for smart contracts are developed for the model implementation. Finally, the performance of this framework is validated with a case study in which a visualization system is presented to achieve (1) information sharing management, (2) real time control of scheduling, and (3) information traceability. The results suggest that the proposed framework facilitates the on time delivery of precast components (PCs) and tracks the reasons for disputes centered on PCs in the precast supply chain.
Zhaojing Wang Tengyu Wang Hao Hu Jie Gong Xu Ren Qiying Xiao
211089925
A Blockchain Driven Supply Chain Finance Application for Auto Retail Industry
In this paper, a Blockchain driven platform for supply chain finance, BCautoSCF (Zhi lian che rong in Chinese) is introduced. It is successfully established as a reliable and efficient financing platform for the auto retail industry. Due to the Blockchain built in trust mechanism, participants in the supply chain (SC) networks work extensively and transparently to run a reliable, convenient, and traceable business. Likewise, the traditional supply chain finance (SCF) partial automation of SCF workflows with fewer human errors and disruptions was achieved through smart contract in BCautoSCF. Such open and secure features suggest the feasibility of BCautoSCF in SCF. As the first Blockchain driven SCF application for the auto retail industry in China, our contribution lies in studying these pain points existing in traditional SCF and proposing a novel Blockchain driven design to reshape the business logic of SCF to develop an efficient and reliable financing platform for small and medium enterprises (SMEs) in the auto retail industry to decrease the cost of financing and speed up the cash flows. Currently, there are over 600 active enterprise users that adopt BCautoSCF to run their financing business. Up to October 2019, the BCautoSCF provides services to 449 online/offline auto retailors, three B2B asset exchange platforms, nine fund providers, and 78 logistic services across 21 provinces in China. There are 3296 financing transactions successfully completed in BCautoSCF, and the amount of financing is Y=566,784,802.18. In the future, we will work towards supporting a full automation of SCF workflow by smart contracts, so that the efficiency of transaction will be further improved.
Entropy
Jingjing Chen Tiefeng Cai Wenxiu He Lei Chen Gang Zhao Weiwen Zou Lingling Guo
225010068
Blockchain for the future of sustainable supply chain management in Industry 4.0
Abstract The objective of this study is to provide an overview of Blockchain technology and Industry 4.0 for advancing supply chains towards sustainability. First, extracted from the existing literature, we evaluate the capabilities of Industry 4.0 for sustainability under three main topics of (1) Internet of things (IoT) enabled energy management in smart factories; (2) smart logistics and transportation; and (3) smart business models. We expand beyond Industry 4.0 with unfolding the capabilities that Blockchain offers for increasing sustainability, under four main areas: (1) design of incentive mechanisms and tokenization to promote consumer green behavior; (2) enhance visibility across the entire product lifecycle; (3) increase systems efficiency while decreasing development and operational costs; and (4) foster sustainability monitoring and reporting performance across supply chain networks. Furthermore, Blockchain technology capabilities for contributing to social and environmental sustainability, research gaps, adversary effects of Blockchain, and future research directions are discussed.
Behzad Esmaeilian Joseph Sarkis Kemper Lewis Sara Behdad
219450773
A Blockchain and Machine Learning Based Drug Supply Chain Management and Recommendation System for Smart Pharmaceutical Industry
From the last decade, pharmaceutical companies are facing difficulties in tracking their products during the supply chain process, allowing the counterfeiters to add their fake medicines into the market. Counterfeit drugs are analyzed as a very big challenge for the pharmaceutical industry worldwide. As indicated by the statistics, yearly business loss of around $200 billion is reported by US pharmaceutical companies due to these counterfeit drugs. These drugs may not help the patients to recover the disease but have many other dangerous side effects. According to the World Health Organization (WHO) survey report, in under developed countries every 10th drug use by the consumers is counterfeit and has low quality. Hence, a system that can trace and track drug delivery at every phase is needed to solve the counterfeiting problem. The blockchain has the full potential to handle and track the supply chain process very efficiently. In this paper, we have proposed and implemented a novel blockchain and machine learning based drug supply chain management and recommendation system (DSCMR) Our proposed system consists of two main modules: blockchain based drug supply chain management and machine learning based drug recommendation system for consumers. In the first module, the drug supply chain management system is deployed using Hyperledger fabrics which is capable of continuously monitor and track the drug delivery process in the smart pharmaceutical industry. On the other hand, the N gram, LightGBM models are used in the machine learning module to recommend the top rated or best medicines to the customers of the pharmaceutical industry. These models have trained on well known publicly available drug reviews dataset provided by the UCI: an open source machine learning repository. Moreover, the machine learning module is integrated with this blockchain system with the help of the REST API. Finally, we also perform several tests to check the efficiency and usability of our proposed system.
Khizar Abbas Muhammad Afaq Talha Ahmed Khan Wang-Cheol Song
167210863
Towards an Autonomous Industry 4.0 Warehouse: A UAV and Blockchain Based System for Inventory and Traceability Applications in Big Data Driven Supply Chain Management
Industry 4.0 has paved the way for a world where smart factories will automate and upgrade many processes through the use of some of the latest emerging technologies. One of such technologies is Unmanned Aerial Vehicles (UAVs) which have evolved a great deal in the last years in terms of technology (e.g. control units, sensors, UAV frames) and have significantly reduced their cost. UAVs can help industry in automatable and tedious tasks, like the ones performed on a regular basis for determining the inventory and for preserving item traceability. In such tasks, especially when it comes from untrusted third parties, it is essential to determine whether the collected information is valid or true. Likewise, ensuring data trustworthiness is a key issue in order to leverage Big Data analytics to supply chain efficiency and effectiveness. In such a case, blockchain, another Industry 4.0 technology that has become very popular in other fields like finance, has the potential to provide a higher level of transparency, security, trust and efficiency in the supply chain and enable the use of smart contracts. Thus, in this paper, we present the design and evaluation of a UAV based system aimed at automating inventory tasks and keeping the traceability of industrial items attached to Radio Frequency IDentification (RFID) tags. To confront current shortcomings, such a system is developed under a versatile, modular and scalable architecture aimed to reinforce cyber security and decentralization while fostering external audits and big data analytics. Therefore, the system uses a blockchain and a distributed ledger to store certain inventory data collected by UAVs, validate them, ensure their trustworthiness and make them available to the interested parties. In order to show the performance of the proposed system, different tests were performed in a real industrial warehouse, concluding that the system is able to obtain the inventory data really fast in comparison to traditional manual tasks, while being also able to estimate the position of the items when hovering over them thanks to their tag's signal strength. In addition, the performance of the proposed blockchain based architecture was evaluated in different scenarios.
Sensors
Tiago M Fernandez-Carames Oscar Blanco-Novoa Ivan Froiz-Miguez Paula Fraga-Lamas
169506448
Blockchain and supply chain management integration: a systematic review of the literature
Purpose This paper aims to identify, analyse and organise the literature about blockchains in supply chain management (SCM) context (blockchain SCM integration) and proposes an agenda for future research. This study aims to shed light on what the main current blockchain applications in SCM are, what the main disruptions and challenges are in SCM because of blockchain adoption and what the future of blockchains holds in SCM. Design/methodology/approach This study followed the systematic review approach to analyse and synthesise the extant literature on blockchain SCM integration. The review analysed 27 papers between 2008 and 2018 in peer reviewed journals. Findings Blockchain SCM integration is still in its infancy. Scholars and practitioners are not fully aware of the potential of blockchain technology to disrupt traditional business models. However, the electric power industry seems to have a relatively mature understanding of blockchain SCM integration, demonstrated by the use of smart contracts. Additionally, the disintermediation provided by blockchain applications has the potential to disrupt traditional industries (e.g. health care, transportation and retail) Research limitations/implications The limitations of this study are represented mainly by the scarcity of studies on blockchain SCM integration in leading journals and databases. Practical implications This study highlights examples of blockchain SCM integration, emphasising the need to rethink business models to incorporate blockchain technology. Originality/value This study is the first attempt to synthesise existing publications about the blockchain SCM integration, shedding light on the disruption caused by, and the necessity of, the SCM reconfigurations.
Supply Chain Management: An International Journal
Maciel M Queiroz Renato Telles Silvia Helena Bonilla