Impacts of Transparency and Traceability on Fashion Supply Chain System

The level of fashion consumer awareness and communication regarding sustainable consumption is rising. Organizations are working to provide clarity and guidance on fashion consumption. Brands are experimenting with new materials and supply chain strategies, and suppliers are improving the manufacturing processes and quality of products. However, given the size and complexity of the industrial process, these efforts are not adequate in ensuring a sustainable fashion supply chain. Transparency and traceability in the fashion supply chain are needed to improve the fashion industry by supporting sustainable and ethical practices in the apparel supply chain. Key gaps include a lack of comprehensive and transparent information about how, where, and by whom materials are sourced, processed, and assembled;a lack of transparency in the supply chain practices and procedures affects the environment, working conditions, and human health. The industry has to build the capacity to manage its supply chain, more effectively and responsibly, by improving transparency and traceability as the top goals. So, in this context, the main purpose of this research paper is to study the impacts of transparency and traceability on the dimensions of sustainability in fashion supply chain. The researchers have applied descriptive research methods in which secondary data are collected and analyzed through a literature review of peer-reviewed research papers and the primary data are collected through the survey method by distributing a semi structured questionnaire. The data collected are analyzed using statistical tools and techniques. Finally, the results are discussed and presented.

Scalable Blockchain Technology for Tracking the Provenance of the Agri-Food

Due to an increase in agricultural mislabeling and careless handling of non-perishable foods in recent years,consumers have been calling for the food sector to be more transparent.Due to information dispersion between divisions and the propensity to record inaccurate data,current traceability solutions typically fail to provide reliable farm-to-fork histories of products.The threemost enticing characteristics of blockchain technology are openness,integrity,and traceability,which make it a potentially crucial tool for guaranteeing the integrity and correctness of data.In this paper,we suggest a permissioned blockchain system run by organizations,such as regulatory bodies,to promote the origin-tracking of shelf-stable agricultural products.We propose a four-tiered architecture,parallel side chains,Zero-Knowledge Proofs(ZKPs),and Interplanetary File Systems(IPFS).These ensure that information about where an item came from is shared,those commercial competitors cannot get to it,those big storage problems are handled,and the system can be scaled to handle many transactions at once.The solution maintains the confidentiality of all transaction flows when provenance data is queried utilizing smart contracts and a consumer-grade reliance rate.Extensive simulation testing using Ethereum Rinkeby and Polygon demonstrates reduced execution time,latency,and throughput overheads.

Agri-food Supply Chain Management: Literature Review

The purpose of this paper is to present a critical review of prior literature relating to agri-food supply chain management. An in-depth analysis has been carried out to identify the influential information from the literature. This paper has identified gaps to be explored about agricultural supply chain management (SCM) practices which may be used by researchers to enrich theory construction and practitioners may concentrate on establishing the extent and frontiers of agri-food SCM. This research work is the first attempt to make a critical literature review of available literature on agri-food SCM practices for developing countries like India. The research articles and other materials related to the agri-food supply chain management were collected from online data bases like Scopus, EBSCO and Google Scholar for the period of 10 years (2006-2016). The study performs content analysis and is followed by descriptive analysis. In the next phase, the literature in the field of agri-food supply chain management is classified into four broad categories viz. general literature review of agri-food supply chain, policies affecting the segments of agri-food supply chain, individual segments of agri-food SCM (structure of supply chain segments and conduct of supply chain segments) and performance of supply chain segments. These four categories are comprehensively reviewed and elaborated the research gap in the literature based on agri-food supply chain management. Finally, potato supply chain of India is considered as a case example for comprehensive analysis and elaborated in detail.

Application of ontologies to traceability in the dairy supply chain

Systems for tracking products through supply chains range from paper-based records maintained by producers, processors, and suppliers to sophisticated ICT-based solutions. In addition to supporting product traceability, ICTs may also support data capture, recording, storage, and sharing of traceability attributes on processing, genetics, inputs, disease/pest tracking and measurement of environmental variables. A key success factor for a traceability system is the capability to integrate and share information along the supply chain. ICT represents a tool to overcome integration problems, data fusion and information dissemination. In this paper we illustrate the application of ontology as a tool to model business processes and rules within an agri- food chain. The business case is represented by the Bovlac project: a scientific and technologic platform to trace fresh cheese production.

A Food Traceability Framework Based on Permissioned Blockchain

In recent years,food safety problems have become increasingly serious.The traditional supply chain traceability solution faces some serious problems,such as centralization,data tampering,and high communication costs.To solve these problems,this paper proposes a food traceability framework based on permissioned blockchain.The proposed framework is decentralized,and the supply chain data of the framework cannot be tampered with.The framework divides supply chain entities into five organizations,and each organization deploys its own chaincode onto the blockchain.The chaincode specifies the query permission of each organization,which can effectively protect the user’s sensitive information.The PBFT consensus algorithm adopted by the framework improves the performance of processing transactions.The transactional throughput experiment shows that the proposed framework can achieve a high number of transactions per second.Query efficiency experiment demonstrates that the framework has lower query latency and good user experience.

A Food Traceability System Based on Blockchain and Radio Frequency Identification Technologies

The frequent occurrence of food safety accidents at the global level has triggered consumer sensitivity. Establishing a food traceability system can effectively guarantee food safety and increase consumer confidence and satisfaction. Existing food traceability systems often ignore environmental factors that affect food quality at all stages of the supply chain, and the authenticity of the information obtained through traceability is difficult to guarantee. In this study, a food supply chain traceability model was established based on blockchain and radio frequency identification (RFID) technologies. The model focused on the traceability of environmental data during the various stages of the food supply chain and combined a centralized database and blockchain for data storage. The lot identification data of the various supply chain stages were stored in a centralized database, while the environmental data were stored in a blockchain. Thereby, the authenticity and accuracy of the traceability data were ensured. The blockchain part of the model has been simulated in the Ethereum test environment, and the experiment has achieved traceability of temperature data.

基于区块链技术的生鲜农产品溯源系统设计

当前生鲜农产品供应链体系通常采用中心化管理模式,存在不同用户之间信息不对称、缺乏实时信息共享平台以及产品来源可追溯性差等问题。为了解决这些问题,采用区块链技术作为开发框架,提出一个基于区块链技术的生鲜农产品供应链的信息共享和可追溯模型,该模型系统具有信息共享、调度实时控制、溯源机制完善等特点。通过设计智能合约算法和新型的交易提案方式,实现自动化管理生鲜农产品供应链系统,以更好地可视化展现区块链网络交易流程。使用Caliper工具进行性能测试,实验结果表明,该方案可行性高,多节点环境下系统交易时延低,同时可以保证信息安全,具备完善的交易功能。最后,选取几个现有的农产品溯源应用系统做对比分析,该方案相较于现有的农产品溯源应用系统具有更强的溯源监管能力,更高的交易可靠性,以及更好的供应链各环节节点间的数据交互性等优势。

基于区块链的农产品供应链溯源研究综述

中国的农产品供应链是一个多利益主体共同参与、多阶段多链路、动态可扩展网链的人机复合系统,使得基于区块链的农产品供应链溯源系统面临着链上信息泄露和溯源信息造假的管理实践挑战.本研究结合我国农产品供应链特点,从建设基于区块链的农产品供应链溯源系统的实际需求以及应用实践出发,对区块链技术及应用、区块链中的隐私保护与农产品信息安全、信任传递与融合方法这三个方面对国内外相关研究进行综述,并据此提出我国建设这类溯源系统的两个核心难题--“如何建”和“如何查”.针对这两个难题,从管理科学视角各提出四类关键科学问题,展望未来研究的发展趋势,并从应用实践层面提出基于区块链的农产品供应链溯源系统的发展建议.

基于区块链技术的农产品冷链物流优化策略研究

该文从降低成本、便于追溯、加强信任、防止伪造及监管智能化等多个角度分析“区块链+冷链物流”的主要优势,有利于解决农产品冷链物流效率低下、信用缺失、产品质量安全难追溯等突出问题。利用区块链技术,结合全球定位系统、全程冷链流通技术、全程温控技术,提出研究构建基于区块链技术的生鲜农产品冷链物流供应链系统、虚拟智能交易系统、新型物流数据体系、真实安全的物流信用体系的设想及发展思路,重塑冷链物流新模式。

绿色食品在乡村康养旅游中的重要性研究

随着康养旅游需求的增长,绿色食品作为乡村康养旅游的核心要素,在满足游客康养需求、提升乡村旅游吸引力方面发挥了重要作用。本文对绿色食品的定义与分类进行探讨,并分析其在乡村康养旅游中的重要性和存在的问题,提出构建乡村绿色食品的全流程追溯系统、打造基于康养需求的定制化农产品供应链以及建立绿色食品与乡村旅游的协同品牌营销体系的策略建议。

基于智能合约的农业供应链溯源技术研究

食品安全和污染风险相关的问题越来越多,迫切需要高效的追溯解决方案。通过溯源可以高效追溯食品的源头,并且进行追责,从而提高食品安全。为此设计了一个基于以太坊智能合约的农业供应链溯源机制,该机制通过引入NFT技术,优化了区块链农产品溯源过程。实验结果表明,所提出的供应链框架在成本效益、溯源效率方面优于现有的区块链溯源基准技术。

基于区块链技术的农业食品溯源研究进展

随着全球食品安全问题日益严峻,加之供应链改革和食品召回相关工作耗资巨大且充满挑战,这使得建立农业食品溯源体系变得尤为重要,各国也越来越重视食品安全溯源体系建设。在智慧农业背景下,信息通信技术可通过区块链基础设施进一步完善,以实现新农场和数字农业,确保农产品从种植到销售的全链条安全可追溯。本文通过分析国内外最新研究,系统阐述了基于区块链技术的农业食品溯源研究进展。详细分析了农业食品供应链流程,提出了区块链在农业食品溯源领域的基本架构。归纳总结了当前区块链在农业食品溯源领域的应用研究,主要集中在与云边端计算、加密技术、存储优化、共识机制改进和智能合约设计的结合方面。本文还指出了农业食品溯源当前面临的数据安全、存储扩展、监管困难和实际应用等方面的挑战。最后,展望了区块链技术在农业食品溯源领域的未来发展方向,如加强安全监管、提高区块链可扩展性、利用新兴技术赋能食品溯源等,并强调了区块链技术在农业食品供应链中应用所面临的机遇与挑战。

基于区块链的农产品供应链溯源数据多条件查询优化方法研究

随着基于区块链的农产品溯源系统迅速发展,区块链查询能力面临着巨大挑战。对于供应链参与方来说,区块链中保存的数据多为编码或序列化的数据,使得供应链参与方的审计和监督等存在多条件查询的工作变得十分困难。通常情况下,原生区块链并未提供满足多条件查询的查询方式。因此,为了实现多条件查询并提高查询效率,本研究提出一种农产品溯源数据多条件查询优化方法。首先,该方法采用一种优化的Merkle树结构(n-Tree)对交易信息进行重构,从而提供更高效的条件验证能力。其次,通过自适应多条件区块布隆过滤器判断交易信息中查询条件的存在性,进而快速过滤区块。最后,提出一种应用TWTN-Heap(Time weight and transaction number based heap)结构的索引构建方法,以区块权重为序构建主条件相关的区块号索引列表。产品数据的查询过程包括遍历区块号索引列表、过滤非相关区块以及验证特定查询条件,从而获得条件查询结果。实验结果表明,本研究提出的产品数据条件查询优化方法能够有效地解决农产品供应链面临的条件查询问题,同时保证查询时间消耗维持在15 ms左右,查询效率较默克尔语义字典树(Merkle semantic trie, MST)方法提高60.9%,较原始遍历(Orignal traverse, OT)方法提高87.7%。

乳品安全控制溯源技术研究进展

为保障乳品质量与安全,近年来不断开发高效乳品安全溯源技术。文章介绍了乳品安全溯源技术现状,对原料乳收集及加工过程中可能存在的风险和乳品掺假问题进行分析,并阐述无线射频识别(RFID)及电子产品码技术、指纹技术和区域链技术及其在乳品安全溯源方面的国内外实例,为乳品安全溯源问题提供思路,便于出现问题时及时追溯源头,促进乳品行业稳步发展。

RFID技术在食品智能包装和供应链追溯中的应用研究

目的介绍RFID技术,综述其在智能包装、食品供应链追溯的应用进展,以期为RFID技术的发展提供一定的理论基础。方法阐述RFID系统的组成、分类、工作原理及该技术的优点;分析RFID技术在监测食品包装内温度、湿度、pH、气体含量等参数的应用潜力;综述RFID技术在整个食品供应链(生产、加工、储运和销售环节)中的追溯进展;讨论目前RFID技术在实际应用中面临的问题和今后的发展方向。结论通过全面综述RFID技术在智能包装、食品溯源等方面的应用,表明RFID技术在食品领域具有广泛的应用前景,这对食品质量控制具有重要的意义。

基于区块链的香菇可信溯源模型优化研究

在香菇产品供应链中,由于环节众多而复杂,并要求高水平的食品质量安全监管,这导致信息传输的冗余和追溯系统内查询效率的低下。为解决传统香菇溯源系统中出现的问题,提出一种利用区块链技术的香菇质量安全可信溯源解决方案。对香菇供应链从溯源角度实行各流程分析,对其中的溯源信息和产品信息筛选整理,设计基于区块链的香菇质量安全溯源方案;基于此,利用区块链技术构建香菇质量安全溯源模型,应用供应链环节多主链的存储模式和数据快速查询模型并且设计相符合的智能合约;并对所提出的模型进行验证分析。结果表明,在使用区块链测试工具Caliper下,建立对比试验环境进行对比测试,根据使用数据量不同的情况,当供应链中的数据量足够多时,溯源模型的溯源查询效率、数据吞吐量均相较于传统溯源模型有较大的提升。以上所提出的区块链溯源模型应用到食用菌香菇产业,能够实现香菇供应链信息安全传递和快速溯源。

考虑数字溯源和企业社会责任的农产品供应链决策研究

基于“农产品合作社+大型商超”的农产品供应链,考虑供应链成员实施不同企业社会责任分担策略以及引入数字化追溯体系,分析企业社会责任(CSR)实施主体、产品价格敏感度、溯源敏感度等多个因素对决策的影响,识别促进CSR意识提升、溯源改进并实现供应链参与者双赢的博弈均衡特征和占优均衡。研究发现:企业履行社会责任具有提高产品溯源水平、稳定价格、促进市场需求、增加消费者剩余和社会福利的作用;农产品合作社履行社会责任将减少其收益而增加大型商超的最优利润,而大型商超通过恰当地履行社会责任不仅可以改善自己的收益,还可以提高农产品合作社的利润;当CSR水平处于特定区间时,供应链成员联合承担CSR不仅可以提升溯源水平,还可以使供应链各成员的利益实现帕累托优化。

美国供应链溯源应对中的信息安全问题及反竞争情报体系建构

[目的/意义]在美国出口管制及经济制裁背景下,探讨美国供应链溯源应对过程中的供应链信息安全问题,并尝试建构基于供应链信息安全的反竞争情报体系。[方法/过程]聚焦美国供应链溯源调查的相关程序,通过文献研究、案例研究等理论与实践相结合的方式,厘清美国供应链溯源调查背后的竞争情报属性和企业应对过程中的信息安全风险,分析反竞争情报在美国供应链溯源应对中的重要作用,并提出基于供应链信息安全的反竞争情报体系建构思路。[结果/结论]基于供应链信息安全的反竞争情报体系是协调供应链溯源应对与关键信息保护的动态运行体系,从体系框架、理论模型和运行机制三个层面进行了整体建构。

基于区块链技术的食品可追溯供应链系统研究

建立食品可追溯供应链是解决食品安全问题的有效途径。由于传统的食品可追溯系统的运营成本高,导致一般企业不愿意参与。另外数据容易被篡改,以致消费者不愿接受转移到食品上的追溯系统应用成本造成的溢价。由此为提高追溯系统数据可靠度,需要在系统中融入天然具有不可篡改特点的区块链技术。文章从区块链技术与食品供应链可追溯系统的兼容性出发,理论分析出区块链技术的引入将降低食品供应链的交易成本、质量成本、时间成本、作业成本以及追溯的附加成本。通过对比区块链技术应用前后成本变化,探索基于区块链的食品供应链可追溯系统的成本控制机制,以促进食品供应链可追溯系统的发展。

基于区块链的药品供应链系统的分析与设计

由于假药事件层出不穷,药品的安全问题成为了公众关注的重点。在传统供应链模式下,供应链各主体相对独立,没有进行信息交互,数据存储在中心数据库中,这导致了药品数据不透明、中心数据被篡改等问题。文章针对传统的供应链系统存在的问题,提出了基于区块链的药品供应链系统,采用Hyperledger Fabric作为联盟链开发平台。供应链各主体作为联盟链中的节点加入区块链网络,进行药品数据的上链以及区块的共识操作;在药品运输过程中采用物联网技术,利用RFID标签对运输的数据进行双重验证,确保了数据的安全性和真实性;在数据存储方面,引入IPFS文件系统,将上链数据存入IPFS,对返回的哈希值进行上链,实现数据的“链下存储,链上索引”。