Journal of Industrial Information Integration工业信息集成杂志

Journal of Industrial Information Integration(英文缩写 J IND INF INTEGR),ISSN 2467-964X,eISSN 2452-414X,中文译名:工业信息集成杂志 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

2026 年数据 · 影响因子
11.200
JCR 分区
Q1
CAS 分区
B1
近一年发文量
0
本站 PubMed 收录统计

发文量统计区间:2025-11-01 至 2026-10-31,按本站收录文献的发表日期统计。

ISSN: 2467-964X · eISSN: 2452-414X · 缩写: J IND INF INTEGR ·中文: 工业信息集成杂志

期刊介绍

选择期刊介绍栏目

期刊简介

Journal of Industrial Information Integration 是一本聚焦工业信息集成理论与应用的国际期刊,关注信息技术与工业系统的深度融合。主要领域包括企业信息系统集成、工业物联网、信息物理系统、互操作性与标准化等。读者群为工业工程、信息管理、自动化及计算机应用领域的研究人员与工程实践者。

研究方向

主要研究方向涵盖工业信息集成架构、企业应用集成、工业物联网与云制造、语义互操作、信息物理生产系统、大数据与人工智能在工业中的应用。论文类型以原创研究、综述、案例研究及技术报告为主,兼收短讯与评论。

期刊特色

研究取向强调理论创新与工业场景验证并重,论文通常要求提出可复现的方法或框架,并展示实际集成效果。适合从事智能制造、企业信息化、系统集成的高校研究者、企业研发人员及标准制定者阅读参考。

投稿难度

投稿难度较高,对理论深度、方法严谨性和工业应用价值均有明确要求。建议准备时突出信息集成问题的独特性,提供充分的实验或案例验证,并清晰说明与已有工作的差异。

历年影响因子趋势

JCR 数据年份影响因子JCR 分区
202111.718Q1
202215.700Q1
202310.400Q1
202411.600Q1
202511.200Q1

Journal of Industrial Information Integration 最新收录文献

  1. JCR分区: Q1 CAS分区: B1 影响因子: 11.2

    1. VaccineChain: A checkpoint assisted scalable blockchain based secure vaccine supply chain with selective revocation.

    1. 疫苗链:一种检查点辅助的可扩展的基于区块链的安全疫苗供应链,具有选择性撤销功能
    作者:
    Rahul Mishra, Dharavath Ramesh, Damodar Reddy Edla, Lianyong Qi
    日期:
    2023-06-20

    In the present era of the pandemic, vaccination is necessary to prevent severe infectious diseases, i.e., COVID-19. Specifically, vaccine safety is strongly linked to global health and security. However, the main concerns regarding vaccine record forgery and counterfeiting of vaccines are still common in the traditional vaccine supply chains. The conventional vaccine supply chains do not have proper authentication among all supply chain entities. Blockchain technology is an excellent contender to resolve the issues mentioned above. Although, blockchain based vaccine supply chains can potentially satisfy the objectives and functions of the next-generation supply chain model. However, its integration with the supply chain model is still constrained by substantial scalability and security issues. So, the current blockchain technology with traditional Proof-of-Work (PoW) consensus is incompatible with the next-generation vaccine supply chain framework. This paper introduces a model named "VaccineChain" - a novel checkpoint-assisted scalable blockchain based secure vaccine supply chain. VaccineChain guarantees the complete integrity and immutability of vaccine supply records to combat counterfeited vaccines over the supply chain. The dynamic consensus algorithm with various validating difficulty levels supports the efficient scalability of VaccineChain. Moreover, VaccineChain includes anonymous authentication among entities to provide selective revocation. This work also consists of a use case example of a secure vaccine supply chain using checkpoint assisted scalable blockchain with customized transaction generation-rule and smart contracts to demonstrate the application of VaccineChain. The comprehensive security analysis with standard theoretical proofs ensures the computational infeasibility of VaccineChain. Further, the detailed performance analysis with test simulations shows the practicability of VaccineChain.

  2. JCR分区: Q1 CAS分区: B1 影响因子: 11.2

    2. Internet of Everything and Digital Twin enabled Service Platform for Cold Chain Logistics.

    2. 万物互联与数字孪生驱动的冷链物流服务平台
    作者:
    Wei Wu, Leidi Shen, Zhiheng Zhao, Arjun Rachana Harish, Ray Y Zhong, George Q Huang
    日期:
    2023-02-16

    The proliferation of the e-commerce market has posed challenges to staff safety, product quality, and operational efficiency, especially for cold chain logistics (CCL). Recently, the logistics of vaccine supply under the worldwide COVID-19 pandemic rearouses public attention and calls for innovative solutions to tackle the challenges remaining in CCL. Accordingly, this study proposes a cyber-physical platform framework applying the Internet of Everything (IoE) and Digital Twin (DT) technologies to promote information integration and provide smart services for different stakeholders in the CCL. In the platform, reams of data are generated, gathered, and leveraged to interconnect and digitalize physical things, people, and processes in cyberspace, paving the way for digital servitization. Deep learning techniques are used for accident identification and indoor localization based on Bluetooth Low Energy (BLE) to actualize real-time staff safety supervision in the cold warehouse. Both algorithms are designed to take advantage of the IoE infrastructure to achieve online self-adapting in response to surrounding evolutions. Besides, with the help of mobile and desktop applications, paperless operation for shipment, remote temperature and humidity (T&H) monitoring, anomaly detection and warning, and customer interaction are enabled. Thus, information traceability and visibility are highly fortified in this way. Finally, a real-life case study is conducted in a pharmaceutical distribution center to demonstrate the feasibility and practicality of the proposed platform and methods. The dedicated hardware and software are developed and deployed on site. As a result, the effectiveness of staff safety management, operational informatization, product quality assurance, and stakeholder loyalty maintenance shows a noticeable improvement. The insights and lessons harvested in this study may spark new ideas for researchers and inspire practitioners to meet similar needs in the industry.

  3. JCR分区: Q1 CAS分区: B1 影响因子: 11.2

    3. Preventing COVID-19 from the perspective of industrial information integration: Evaluation and continuous improvement of information networks for sustainable epidemic prevention.

    3. 从产业信息整合角度预防新冠肺炎:评估和持续改进可持续防疫的信息网络
    作者:
    Shi Yin, Nan Zhang, Hengmin Dong
    日期:
    2020-06-20

    COVID-19 is accelerating industrial information integration (III) for sustainable epidemic prevention and innovation design. It is important to emphasize that this interaction makes it reciprocal. To prevent COVID-19, the III of industrial sectors should be strengthened to encourage innovation for sustainable epidemic prevention. Accordingly, we studied the overall dynamic change trend of industrial sectors' information integration networks (IIN), the characteristics of individual IIN, and their influence on IIN performance. In the study, the gravity model and social network analysis were used to determine the variables of industrial sectors' information distance and quality, and to construct the IIN of industrial sectors. The results show that the overall relevance of the IIN of industrial sectors is low, and the network density fluctuates, with high network efficiency and poor stability. Two-way, strong correlation between industrial sectors is relatively low. The spillover effect of industrial sectors in the upstream of the industrial chain is poor, and it is difficult to have a strong information integration driving effect on the downstream industrial sectors. The interplate linkage of the IIN of industrial sectors is insufficient. Compared with point centrality and closeness, improvement of the betweenness centrality of industrial sectors can significantly improve IIN performance.

  4. JCR分区: Q1 CAS分区: B1 影响因子: 11.2

    4. Standards-based integration of advanced process control and optimization.

    作者:
    Guodong Shao, Hasan Latif, Carla Martin-Villalba, Peter Denno
    日期:
    2019

    Integration of process control with optimization is critical to Smart Manufacturing (SM). Oftentimes, however, the process control solutions from one vendor do not interoperate with the optimization solutions of another. Incompatibilities among the representation and format used by the vendors can impede interoperability. Without this interoperability, it is impossible to achieve the higher level of decision support essential to SM. We believe that an emerging standard, ISO 15746, can facilitate semantic interoperability and enable the integration of process control with optimization. This paper reports the implementation and validation of ISO 15746, Automation systems and integration - Integration of advanced process control and optimization (APC-O) capabilities for manufacturing systems. Guided by the standard, we modelled major components of a typical APC-O system using tools from different vendors, implemented the information models defined in the standard, and integrated key system functions such as process optimization, process control, and user interface. A chemical process case based on the Tennessee-Eastman problem is used to demonstrate the implementation and validation of the standard. We developed a simulation of the chemical process and integrated it with the APC-O system. We discuss the standard validation experience and the findings will be used to guide advance development of the standard.

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