Journal of Industrial Information Integration最新文献

Interval-valued q-rung orthopair fuzzy complex proportional assessment-based approach and its application for evaluating the factors of blockchain technology in various domains 基于区间值的q-rung正交模糊复合比例评估方法及其在各领域区块链技术因素评估中的应用

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration

Pub Date : 2024-11-01 DOI: 10.1016/j.jii.2024.100718

Rashmi Pathak , Badal Soni , Naresh Babu Muppalaneni , Muhammet Deveci

Blockchain technology (BT) is a digitally decentralized, distributed and public ledger, which considers a secure and viable solution for storing and accessing the record transactions in a public or private peer-to-peer network and assures a smart world of automation of complex services. This paper aims to evaluate the factors persuading the BT adoption and also to assess the possible application areas for the adoption of BT. Implementation of the BT process considers multiple criteria and alternatives with uncertain information; therefore, it can be considered as an uncertain multi-criteria decision-making problem. In this context, a hybrid approach is proposed based on the criteria interaction through inter-criteria correlation (CRITIC) and the complex proportional assessment (COPRAS) methods with interval-valued q-rung orthopair fuzzy set (IVq-ROFS) named as the “IVq-ROF-CRITICCOPRAS” framework. In this approach, the significance values of the factors are computed through novel score function-based CRITIC model, whereas the CRITIC-based COPRAS model is employed to rank different domains/application areas for the adoption of BT under IVq-ROFSs environment. In this regard, a novel score function is introduced with its desirable characteristics. Further, the developed model is executed on a case study of BT adoption considering 14 factors, which confirms the efficiency and applicability of introduced approach. Based on the results, the healthcare BT alternative is most appropriate among the others. To evaluate its permanence, sensitivity analysis with regard to various ratings of decision strategic coefficient is presented under IVq-ROFS context. The strength of the developed approach is emphasized by comparing it with some of the former models under the context of IVq-ROFSs. The proposed extension of the COPRAS approach can be utilized to solve other complex group decision-making problems with uncertainties.

区块链技术（BT）是一种数字去中心化、分布式和公共分类账，是在公共或私人点对点网络中存储和访问交易记录的安全可行的解决方案，并确保了复杂服务自动化的智能世界。本文旨在评估说服人们采用 BT 的因素，并评估采用 BT 的可能应用领域。实施 BT 流程需要考虑多个标准和具有不确定信息的替代方案；因此，可以将其视为一个不确定的多标准决策问题。在此背景下，提出了一种基于标准间相关性的标准互动（CRITIC）和复杂比例评估（COPRAS）方法以及区间值 q-rung 正对模糊集（IVq-ROFS）的混合方法，命名为 "IVq-ROF-CRITICCOPRAS "框架。在这种方法中，各因素的重要程度值是通过新颖的基于分值函数的 CRITIC 模型计算出来的，而基于 CRITIC 的 COPRAS 模型则用于在 IVq-ROFSs 环境下对采用 BT 的不同领域/应用领域进行排序。在这方面，引入了一种新的分数函数及其理想特性。此外，考虑到 14 个因素，在采用生物技术的案例研究中执行了所开发的模型，这证实了所引入方法的效率和适用性。根据研究结果，医疗保健 BT 替代方案是最合适的。为评估其持久性，在 IVq-ROFS 环境下对决策战略系数的各种评级进行了敏感性分析。通过与 IVq-ROFS 背景下的一些前模型进行比较，强调了所开发方法的优势。COPRAS 方法的拟议扩展可用于解决其他具有不确定性的复杂群体决策问题。

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引用次数: 0

Global sustainable closed-loop supply chain network considering Incoterms rules and advertisement impacts 考虑到国际贸易术语解释通则规则和广告影响的全球可持续闭环供应链网络

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration

Pub Date : 2024-11-01 DOI: 10.1016/j.jii.2024.100737

Mohammad A. Edalatpour , Amir M. Fathollahi-Fard , Seyed Mohammad Javad Mirzapour Al-e-Hashem , Kuan Yew Wong

Industrial information integration plays a crucial role in modern supply chains by ensuring the smooth flow of data across all stages, including recovery, recycling, and disposal, which is essential for the successful implementation of a closed-loop supply chain (CLSC) model. Building on this, our paper addresses a global CLSC problem by incorporating International Commercial Terms (Incoterms) and international transportation modes, bridging global supply chain operations with sustainability criteria. This innovative approach advances the development of a globally sustainable CLSC by focusing on the integration of economic, environmental, and social factors, i.e., the triple bottom line of sustainability. Specifically, we address environmental concerns through the introduction of carbon taxation and enhance social sustainability by exploring the impact of advertising on customer satisfaction. To further refine this model, we classify customers based on their sustainability engagement and apply a fuzzy programming approach to account for uncertainty in customer demand influenced by advertising. To solve this complex global CLSC model, we conduct a thorough analysis of constraints and develop a robust Lagrangian relaxation reformulation. While the initial solution may result in infeasibility, we propose a heuristic algorithm that ensures feasible solutions. Our efficient Lagrangian-based heuristic, incorporating an adaptive strategy, is capable of solving large-scale networks with an approximate 10 % optimality gap. Ultimately, this research provides both a comprehensive framework for practitioners to improve the environmental performance and global operations of their supply chains, as well as significant theoretical contributions to the field of industrial information systems.

工业信息集成在现代供应链中发挥着至关重要的作用，它可以确保数据在回收、循环利用和处置等各个阶段的顺畅流动，这对于成功实施闭环供应链（CLSC）模式至关重要。在此基础上，我们的论文通过纳入国际商业条款（Incoterms）和国际运输模式来解决全球闭环供应链问题，从而将全球供应链运营与可持续发展标准联系起来。这种创新方法注重经济、环境和社会因素的整合，即可持续发展的三重底线，从而推动了全球可持续供应链的发展。具体来说，我们通过引入碳税来解决环境问题，并通过探索广告对客户满意度的影响来增强社会可持续性。为了进一步完善这一模型，我们根据客户的可持续发展参与度对其进行分类，并应用模糊编程方法来考虑受广告影响的客户需求的不确定性。为了解决这个复杂的全局 CLSC 模型，我们对约束条件进行了全面分析，并开发了一种稳健的拉格朗日松弛重构方法。虽然最初的解决方案可能不可行，但我们提出了一种启发式算法，以确保可行的解决方案。我们基于拉格朗日的高效启发式算法结合了自适应策略，能够以大约 10% 的优化差距解决大规模网络问题。最终，这项研究既为从业人员提供了一个全面的框架，以改善其供应链的环境绩效和全球运营，也为工业信息系统领域做出了重要的理论贡献。

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引用次数: 0

Interoperability levels and challenges of digital twins in cyber–physical systems 网络物理系统中数字孪生的互操作性水平和挑战

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration

Pub Date : 2024-11-01 DOI: 10.1016/j.jii.2024.100714

Sarthak Acharya, Arif Ali Khan, Tero Päivärinta

Context:

Industry 4.0/5.0 has brought together technologies like Internet of Things (IoTs), Industrial IoT (IIoT), Cyber–Physical Systems (CPS), Edge Computing, big data analytics, communication technologies (4G/5G/6G) and Digital Twins (DTs), aiming for more intelligent, interconnected systems. However, their real-time efficiency hinges on how well these components integrate and interact. This paper examines the interoperability levels and challenges of integrating Digital Twins within edge-enabled Cyber–Physical Systems.

Objective:

Our research explores the existing methods and frameworks for integrating multiple digital twins into a CPS setup. This study focuses on two key research objectives. The first is delineating interoperability levels within DT deployments in CPS setups. The second examines various interoperability challenges in integrating DTs in the context of CPS.

Method:

A literature survey is conducted on the existing scholarly literature, industrial use cases, and reports.

Results:

We identified 77 interoperability challenges and proposed an interoperability framework for DTs, involving six levels i.e. technical, syntactic, semantic, pragmatic, dynamic and organizational. We further categorized all the 77 challenges into 33 subthemes and mapped them across the 6 levels.

Conclusions:

The findings synthesize these challenges into a framework, offering a structured lens through which practitioners can view the adoption and effective use of interconnected DTs in CPS. This contribution is paving the way for future research and development endeavors, aiming to explore fully integrated, efficient, and intelligent CPS within the realm of Industry 4.0/5.0.

背景：工业 4.0/5.0 将物联网 (IoT)、工业物联网 (IIoT)、网络物理系统 (CPS)、边缘计算、大数据分析、通信技术 (4G/5G/6G) 和数字双胞胎 (DT) 等技术融合在一起，旨在打造更加智能、互联的系统。然而，这些系统的实时效率取决于这些组件的集成和互动程度。本文探讨了在边缘支持的网络物理系统中集成数字孪生的互操作性水平和挑战。本研究重点关注两个关键研究目标。第一个目标是划分 CPS 设置中 DT 部署的互操作性水平。方法：我们对现有的学术文献、工业用例和报告进行了文献调查。结果：我们确定了 77 个互操作性挑战，并提出了数字孪生的互操作性框架，涉及六个层面，即技术、语法、语义、实用、动态和组织。结论：研究结果将这些挑战归纳为一个框架，为从业人员提供了一个结构化的视角，使他们能够在 CPS 中采用和有效使用互联的 DT。这一贡献为未来的研究和开发工作铺平了道路，旨在探索工业 4.0/5.0 领域中完全集成、高效和智能的 CPS。

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引用次数: 0

Advance deep learning for soil type classification in space informatics 空间信息学中用于土壤类型分类的高级深度学习

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration

Pub Date : 2024-11-01 DOI: 10.1016/j.jii.2024.100712

Brij B. Gupta , Akshat Gaurav , Varsha Arya , Razaz Waheeb Attar

Accurate soil type categorization is very important for resource management in space exploration. Using a complete system including a space station, rovers, and a deep learning framework, this study proposes an advanced deep learning model for soil type categorization in space informatics. Gathering and preprocessing multispectral and hyperspectral soil data, the rovers send it to the space station for in-depth study. Our model had a test accuracy of about 80%. For space informatics, the suggested method guarantees strong and accurate soil categorization, therefore enabling efficient decision-making.

准确的土壤类型分类对太空探索中的资源管理非常重要。本研究利用包括空间站、漫游车和深度学习框架在内的完整系统，为空间信息学中的土壤类型分类提出了一种先进的深度学习模型。漫游车收集并预处理多光谱和高光谱土壤数据，然后将其发送到空间站进行深入研究。我们的模型测试准确率约为 80%。对于空间信息学来说，所建议的方法可以保证土壤分类的准确性，从而实现高效决策。

引用次数: 0

In-space cybernetical intelligence perspective on informatics, manufacturing and integrated control for the space exploration industry 从空间网络智能角度看空间探索工业的信息学、制造和综合控制

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration

Pub Date : 2024-11-01 DOI: 10.1016/j.jii.2024.100724

Kelvin K.L. Wong, Kavimbi Chipusu, Muhammad Awais Ashraf, Andrew W.H. Ip, Chris W.J. Zhang

The integration of cybernetic principles into space technology has led to a significant shift in spacecraft guidance systems and space station operations. This scholarly work provides a comprehensive analysis of the profound impact that cybernetics has had on space technology, particularly focusing on the development and implementation of closed-loop control systems. Building on foundational contributions to cybernetics, this paper offers a detailed analysis of the complex interplay between control mechanisms, behavioral dynamics, and information management in space informatics. The essential role of cybernetic control systems is highlighted through their critical function in enabling precise spacecraft maneuvers, as demonstrated by the guidance systems used in Apollo lunar missions during the crucial descent and landing phases. In modern space station programs, cybernetic intelligence operates much like a neural network, processing data in real-time and coordinating the various elements of the station's infrastructure. This cybernetic system excels in a wide range of tasks, from space docking maneuvers to waste management, thereby safeguarding astronaut welfare and ensuring mission success. Information serves as the cornerstone of problem analysis and processing, providing a holistic understanding of information flow within complex systems. The study concludes by highlighting the application of a cybernetically intelligent neural network in developing adaptive learning systems for nonlinear and intricate industrial processes. Ultimately, this paper underscores the transformative role of cybernetics in shaping the future of space exploration, emphasizing the seamless integration of control, information, and behavior in space technology to advance our understanding of celestial systems while enhancing the efficiency and safety of space missions.

控制论原理融入空间技术后，航天器制导系统和空间站运行发生了重大转变。这篇学术著作全面分析了控制论对空间技术的深远影响，尤其侧重于闭环控制系统的开发和实施。本文以控制论的奠基性贡献为基础，详细分析了空间信息学中控制机制、行为动力学和信息管理之间复杂的相互作用。正如阿波罗登月任务中在关键的下降和着陆阶段所使用的制导系统所证明的那样，控制论控制系统在实现精确航天器操纵方面的关键作用凸显无疑。在现代空间站计划中，控制论智能系统的运作方式与神经网络非常相似，可以实时处理数据并协调空间站基础设施的各种要素。这种控制论系统擅长各种任务，从空间对接操作到废物管理，从而保障宇航员的福利，确保任务成功。信息是问题分析和处理的基石，它提供了对复杂系统内信息流的整体理解。研究最后强调了网络智能神经网络在开发非线性和复杂工业流程自适应学习系统中的应用。最后，本文强调了控制论在塑造未来太空探索中的变革作用，强调了太空技术中控制、信息和行为的无缝整合，以推进我们对天体系统的理解，同时提高太空任务的效率和安全性。

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引用次数: 0

A digital twin-assisted intelligent fault diagnosis method for hydraulic systems 一种用于液压系统的数字孪生辅助智能故障诊断方法

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration

Pub Date : 2024-11-01 DOI: 10.1016/j.jii.2024.100725

Jun Yang , Baoping Cai , Xiangdi Kong , Xiaoyan Shao , Bo Wang , Yulong Yu , Lei Gao , Chao yang , Yonghong Liu

As the complexity of modern engineering systems increases, traditional fault detection models face growing challenges in achieving accuracy and reliability. This paper presents a novel Digital Twin-assisted fault diagnosis framework specifically designed for hydraulic systems. The framework utilizes a virtual model, constructed using Modelica, which is integrated with real-time system data through a first-of-its-kind bidirectional data consistency evaluation mechanism. The integrated data is further refined using a two-dimensional signal warping algorithm to enhance its reliability. This optimized twin data is then employed to train a multi-channel one-dimensional convolutional neural network-gated recurrent unit model, effectively capturing both spatial and temporal features to improve fault detection. The subsea blowout preventer in lab is used to study the performance of the method. The results show that the accuracy is 95.62 %. Compared to current methods, this is a significant improvement. By integrating DT technology, data consistency optimization, and advanced deep learning techniques, this framework provides a scalable and reliable solution for predictive maintenance in complex engineering systems.

随着现代工程系统复杂性的增加，传统的故障检测模型在实现准确性和可靠性方面面临着越来越大的挑战。本文介绍了一种专为液压系统设计的新型数字孪生辅助故障诊断框架。该框架利用 Modelica 建立的虚拟模型，通过首创的双向数据一致性评估机制与实时系统数据集成。集成数据通过二维信号扭曲算法进一步完善，以提高其可靠性。优化后的孪生数据用于训练多通道一维卷积神经网络门控递归单元模型，有效捕捉空间和时间特征，提高故障检测能力。实验室中的海底防喷器被用来研究该方法的性能。结果表明，准确率为 95.62%。与目前的方法相比，这是一个显著的进步。通过集成 DT 技术、数据一致性优化和先进的深度学习技术，该框架为复杂工程系统的预测性维护提供了可扩展的可靠解决方案。

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引用次数: 0

TRIPLE: A blockchain-based digital twin framework for cyber–physical systems security TRIPLE：基于区块链的网络物理系统安全数字孪生框架

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration

Pub Date : 2024-11-01 DOI: 10.1016/j.jii.2024.100706

Sabah Suhail , Mubashar Iqbal , Rasheed Hussain , Saif Ur Rehman Malik , Raja Jurdak

Cyber–physical systems (CPSs) are being increasingly adopted for industrial applications, yet they involve a dynamic threat landscape that requires CPSs to adapt to emerging threats during their operation. Recently, digital twin (DT) technology (which refers to a virtual representation of a product, process, or environment) has emerged as a suitable candidate to address the security challenges faced by dynamic CPSs. DT has the capability of strengthening the security of CPSs by continuously mapping the physical to twin counterparts to detect inconsistencies. The existing DT-based security solutions are constrained by untrustworthy data dissemination as well as limited data sharing among the involved stakeholders, which, in turn, limit the ability of DTs to run accurate simulations or make valid decisions. To address these challenges, this paper proposes a modular framework called TRusted and Intelligent cyber-PhysicaL systEm (TRIPLE), that leverages blockchain, DTs, and threat intelligence (TI) to secure CPSs. The blockchain-based DT components in the framework provide data integrity, traceability, and availability for trusted DTs. Furthermore, to accurately and comprehensively model system states, the framework envisions fusing process knowledge for modeling DTs from system specification-based and learning-based information and other sources, including infrastructure-as-code (IaC) and knowledge base (KB). The framework also integrates TI for future-proofing against emerging threats, such that threats can be detected either reactively by mapping the behavior of physical and virtual spaces or proactively by TI and threat hunting. We demonstrate the viability of the framework through a proof of concept. Finally, we formally verify the TRIPLE framework to demonstrate its correctness and effectiveness in enhancing CPS security.

网络物理系统（CPS）正越来越多地被应用于工业领域，但它们涉及动态威胁环境，要求 CPS 在运行过程中适应新出现的威胁。最近，数字孪生（DT）技术（指产品、流程或环境的虚拟表示）已成为应对动态 CPS 所面临的安全挑战的合适候选技术。数字孪生有能力通过不断映射实体与孪生对应物来检测不一致之处，从而加强 CPS 的安全性。现有的基于 DT 的安全解决方案受制于不可信的数据传播以及相关利益方之间有限的数据共享，这反过来又限制了 DT 运行精确模拟或做出有效决策的能力。为了应对这些挑战，本文提出了一个名为 "智能网络物理系统（TRIPLE）"的模块化框架，利用区块链、DT 和威胁情报（TI）来确保 CPS 的安全。该框架中基于区块链的 DT 组件为可信 DT 提供了数据完整性、可追溯性和可用性。此外，为了准确、全面地模拟系统状态，该框架设想从基于系统规范和学习的信息及其他来源（包括基础设施即代码（IaC）和知识库（KB））中融合流程知识，以模拟 DT。该框架还整合了 TI，以防范未来新出现的威胁，这样就可以通过映射物理和虚拟空间的行为来被动地检测威胁，或通过 TI 和威胁猎杀来主动地检测威胁。我们通过概念验证证明了该框架的可行性。最后，我们正式验证了 TRIPLE 框架，以证明其在增强 CPS 安全性方面的正确性和有效性。

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引用次数: 0

Industrial information integration in deep space exploration and exploitation: Architecture and technology 深空探测和开发中的工业信息集成：建筑与技术

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration

Pub Date : 2024-11-01 DOI: 10.1016/j.jii.2024.100721

Yuk Ming Tang , Wai Hung Ip , Kai Leung Yung , Zhuming BI

Recently, China and the United States have achieved remarkable success in aerospace science and technology over the years. Space has become another field of competition in the technological advancement of various countries. Through space missions, space tourism, moon and Mars exploration, China and the United States can demonstrate the sophistication of their technologies to the public and audiences around the world. Despite the competitiveness between the big countries, space missions and deep space exploration and exploitation have provided a lot of deep and orbital space information that is beneficial not only for the next space mission but also for enhancing technological development for other domestic uses. Therefore, space industrial information integration (III), or Space III, connecting IoT to form the Internet of Planets, is critically important for deep space explorations. However, few articles have reviewed the existing technologies of space. We are one of the few groups to perform an extensive review, research the space explorations and divide the space information integration systematically based on the information architecture and technologies in the space industries. In this paper, we propose that III can be divided into three different architectures: data, technology, and application, whereas space technology can be divided into six areas. This review is important not only in formulating research in technological integration but also in determining the proposed architecture to facilitate a further extension of applications to large-scale and complex problems in the space industries in the future.

近年来，中美两国在航天科技领域取得了令人瞩目的成就。太空已成为各国科技进步竞争的另一个领域。通过太空任务、太空旅游、月球和火星探测，中美两国可以向全世界公众和观众展示其技术的先进性。尽管大国之间存在竞争，但航天任务和深空探索与开发提供了大量深空和轨道空间信息，这些信息不仅有利于下一次航天任务，也有利于加强国内其他用途的技术发展。因此，空间工业信息集成（III），即连接物联网形成行星互联网的空间三号（Space III），对于深空探索至关重要。然而，很少有文章对现有的空间技术进行回顾。我们是为数不多的对太空探索进行广泛综述、研究，并根据太空产业的信息架构和技术对太空信息集成进行系统划分的小组之一。在本文中，我们提出三可以分为三种不同的架构：数据、技术和应用，而空间技术可以分为六个领域。这一综述不仅对制定技术集成研究具有重要意义，而且对确定拟议架构以促进未来将应用进一步扩展到航天工业中的大规模复杂问题也具有重要意义。

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引用次数: 0

Model management to support systems engineering workflows using ontology-based knowledge graphs 利用基于本体的知识图谱进行模型管理，支持系统工程工作流程

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration

Pub Date : 2024-11-01 DOI: 10.1016/j.jii.2024.100720

Arkadiusz Ryś , Lucas Lima , Joeri Exelmans , Dennis Janssens , Hans Vangheluwe

System engineering has been shifting from document-centric to model-based approaches, where assets are becoming more and more digital. Although digitisation conveys several benefits, it also brings several concerns (e.g., storage and access) and opportunities. In the context of Cyber-Physical Systems (CPS), we have experts from various domains executing complex workflows and manipulating models in a plethora of different formalisms, each with their own methods, techniques and tools. Storing knowledge on these workflows can reduce considerable effort during system development not only to allow their repeatability and replicability but also to access and reason on data generated by their execution. In this work, we propose a framework to manage modelling artefacts generated from workflow executions. The basic workflow concepts, related formalisms and artefacts are formally defined in an ontology specified in OML (Ontology Modelling Language). This ontology enables the construction of a knowledge graph that contains system engineering data to which we can apply reasoning. We also developed several tools to support system engineering during the design of workflows, their enactment, and artefact storage, considering versioning, querying and reasoning on the stored data. These tools also hide the complexity of manipulating the knowledge graph directly. Finally, we have applied our proposed framework in a real-world system development scenario of a drivetrain smart sensor system. Results show that our proposal not only helped the system engineer with fundamental difficulties like storage and versioning but also reduced the time needed to access relevant information and new knowledge that can be inferred from the knowledge graph.

系统工程一直在从以文件为中心向以模型为基础的方法转变，资产越来越数字化。虽然数字化带来了许多好处，但也带来了一些问题（如存储和访问）和机遇。在网络物理系统（CPS）方面，我们有来自不同领域的专家在执行复杂的工作流程，并在大量不同的形式主义中操作模型，每个人都有自己的方法、技术和工具。存储这些工作流程的知识可以在系统开发过程中减少大量工作，不仅可以实现工作流程的可重复性和可复制性，还可以访问和推理工作流程执行过程中产生的数据。在这项工作中，我们提出了一个管理由工作流执行产生的建模工件的框架。工作流的基本概念、相关形式主义和人工制品在本体（Ontology Modelling Language，本体建模语言）中得到了正式定义。通过本体，我们可以构建一个知识图谱，其中包含我们可以应用推理的系统工程数据。我们还开发了几种工具，在设计工作流、制定工作流、存储工件、考虑版本、查询和推理存储数据的过程中为系统工程提供支持。这些工具还隐藏了直接操作知识图谱的复杂性。最后，我们将提出的框架应用于真实世界中的动力传动系统智能传感器系统开发场景。结果表明，我们的建议不仅帮助系统工程师解决了存储和版本管理等基本难题，还缩短了从知识图谱中获取相关信息和新知识所需的时间。

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引用次数: 0

Extended material requirement planning (MRP) within a hybrid energy-enabled smart production system 混合能源智能生产系统中的扩展物料需求计划（MRP）

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration

Pub Date : 2024-11-01 DOI: 10.1016/j.jii.2024.100717

Rekha Guchhait , Mitali Sarkar , Biswajit Sarkar , Liu Yang , Ali AlArjani , Buddhadev Mandal

A smart production system can be made energy-efficient using renewable energy and is considered to maintain the extended material requirement planning under a logistics system by using radio frequency identification. The tracking technology provides information about products with real-time notification. This study investigates renewable energy usage within a smart production system as renewable energy can contribute to Net Zero Emissions. The logistics framework involves an autonomation technology-based production system, optimum cash flow, logistics, and carbon emissions. Time is an essential influencer for material requirement planning. The model is solved with a Laplace integral transformation, where an associated matrix method is utilized by the input–output analysis. The theoretical concept is elaborated through an illustrative numerical example, where the energy consumption and corresponding net present values are evaluated. Numerical and graphical studies prove the effectiveness of the model for the use of renewable energy within for material planning under a reverse logistics system. The result reveals that efficient renewable energy consumption can save considerable costs and reduce the negative net present value of the system. It is found that skilled workers are worthy of a smart production system, not only in a qualitative aspect but also in an economic aspect.

智能生产系统可利用可再生能源实现高能效，并通过使用射频识别技术来维持物流系统下的扩展物料需求计划。跟踪技术可提供有关产品的实时通知信息。本研究调查了智能生产系统中可再生能源的使用情况，因为可再生能源有助于实现净零排放。物流框架包括基于自主技术的生产系统、最佳现金流、物流和碳排放。时间是物料需求规划的重要影响因素。该模型通过拉普拉斯积分变换求解，投入产出分析采用了相关的矩阵方法。通过一个数值示例对理论概念进行了阐述，并对能源消耗和相应的净现值进行了评估。数值和图形研究证明了该模型在逆向物流系统的材料规划中使用可再生能源的有效性。结果表明，有效的可再生能源消耗可以节省大量成本，并降低系统的负净现值。研究发现，熟练工人不仅在质量方面，而且在经济方面都值得采用智能生产系统。

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引用次数: 0