Forthcoming and Online First Articles

International Journal of Internet Manufacturing and Services

International Journal of Internet Manufacturing and Services (IJIMS)

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International Journal of Internet Manufacturing and Services (19 papers in press)

Regular Issues

  • A Compensation method of end pose error of industrial welding robot based on Internet of things   Order a copy of this article
    by Juchen Li, Cuirong Zhao, Sarah Atifah Saruchi, MAHMUD IWAN SOLIHIN, Chiong Meng Choung 
    Abstract: In order to reduce the end pose error of industrial welding robot, a new end pose error compensation method of industrial welding robot based on internet of things (IoT) is proposed. Firstly, the end pose acquisition sensor is set to collect the end pose sample data of the welding robot under the IoT architecture. Secondly, the availability of pose data is improved by homogeneous transformation. Finally, the end rotation feature of the welding robot is calculated, and the Kalman filter model is used to fuse the end pose parameters of the industrial welding robot. According to the covariance matrix, the error compensation function of industrial welding robot is constructed. The experimental results show that the proposed end pose error compensation method of industrial welding robot based on the internet of things has higher end pose compensation effect, the maximum error after compensation is not more than 0.2 mm.
    Keywords: internet of things; IoT; industrial welding robot; end pose; error compensation.
    DOI: 10.1504/IJIMS.2023.10050954
  • Market-based Environmental Regulation, Green Technology Innovation and Green and Low-carbon Economy   Order a copy of this article
    by Li Jia, Xu Yibo 
    Abstract: The establishment of a green and low-carbon economic development system is of great significance in promoting the overall green transformation of economic development. Based on the Super-SBM model, this paper constructs a green and low-carbon economic development index, uses the dynamic panel data of 30 provinces and cities in China from 2006 to 2018 to study the relationship between market-based environmental regulation, green technology innovation and green low-carbon and economy. The results indicated that market-based environmental regulation has a significant inhibitory effect on green technological innovation, and the combined effect of market-based environmental regulation and green technological innovation can effectively weaken the
    Keywords: green and low-carbon economy; market-based environmental regulation; green economy demonstration area; carbon neutrality; empirical study.
    DOI: 10.1504/IJIMS.2024.10051039
  • Information data perception allocation method for industrial Internet of things based on dissimilarity algorithm   Order a copy of this article
    by Yinlei Tian, Yan Yang 
    Abstract: In order to improve the efficiency and accuracy of industrial IOT information data perception and allocation, this paper proposes an industrial IOT information data perception and allocation method based on dissimilarity algorithm. Firstly, the dissimilarity matrix is constructed to determine the data attribute values. Secondly, according to the method of dissimilarity degree, the candidate point set of clustering centre point is determined. Build the generation allocation matrix to calculate the storage capacity of the node ID, calculate the security of the data node through the dissimilarity algorithm, remove the poor security allocation scheme, and get the information and data perception allocation results of the internet of things. The experimental results show that the distribution recall rate of this method can reach 97.2%, the distribution accuracy is 97.3%, and the distribution time is only 5.6 s, indicating that this method can improve the data aware distribution effect.
    Keywords: improved ant colony algorithm; data distribution delay function; dissimilarity algorithm; data aware allocation; initial cluster centre.
    DOI: 10.1504/IJIMS.2023.10051299
  • Research on multi-objective workflow rapid scheduling based on improved heuristic algorithm   Order a copy of this article
    by Fangfang Liu, Xin Lv, Jing Wang 
    Abstract: Aiming at the problems of low efficiency and poor scheduling effect of traditional multi-objective workflow scheduling methods, a multi-objective workflow rapid scheduling method based on improved heuristic algorithm is designed. Firstly, analyse the mode of multi-objective workflow and determine the scheduling task of multi-objective workflow. Then, a directed acyclic graph is constructed to model complex multi-objective workflow tasks, determine the interdependency between task flows, and determine the priority of tasks. Finally, the heuristic algorithm is improved by using the elite solution of fitness value in the population. Based on the improved progressive heuristic algorithm, the task sequence of multi-objective workflow scheduling is updated, and the value of update parameters is determined according to the set random step size, and the constraint conditions are set to complete the multi-objective workflow scheduling. The experimental results show that the maximum scheduling time is 3.8 s and the maximum scheduling error is less than 2%.
    Keywords: improved heuristic algorithm; multi objective; workflow scheduling; directed acyclic graph; objective function; random step size.
    DOI: 10.1504/IJIMS.2023.10051408
  • A novel decision-making scheme for hospital emergency services based on plant growth simulation algorithm   Order a copy of this article
    by Long Chen, Qinming Liu, Chunming Ye, Jiaxiang Li 
    Abstract: A novel decision model of hospital services decision-making based on cumulative prospect theory and plant growth simulation algorithm (PGSA) is proposed. First, this paper considers the bias of psychological behaviour characteristics of hospital emergency services decision makers, and the selection of patient emergency solutions is designed as a nonlinear programming model. Then, the integrated value of hospital scenarios under emergencies is calculated based on the loss and gain values of patient injury severity and emergency resource utilisation, and the cumulative prospect values of each emergency scenario are calculated based on interval probability and cumulative prospect theory. PGSA is used to weigh the accumulated prospect value vector of each decision maker. Finally, the data description shows that the decision process can make the hospital emergency services scenarios optimal under emergencies, it makes emergency decision making more in line with the actual situation and thus improves scientific and effective decision making.
    Keywords: hospital services; emergency resources; cumulative prospect theory; emergency services decision making; plant growth simulation algorithm; PGSA.
    DOI: 10.1504/IJIMS.2024.10051482
  • Processing station tracking control method of assembly robot based on narrow band Internet of Things   Order a copy of this article
    by Linyan Pan 
    Abstract: This paper proposes a processing station tracking control method of assembly robot based on narrow band internet of things. Firstly, LTE carrier resource block is used to establish the physical layer of narrow band internet of things. Then, the data of the assembly robot’s processing stations were collected by using the control chart of measurement values, and the continuous pose space was processed by using the discretisation method to obtain a set of discrete processing stations. The tracking control problem of machining station position was transformed into the problem of optimising the selection of machining position from the set, and the station position was tracked through the clustering of machining objects. Experimental results show that the tracking control accuracy of this method is up to 98.8%, and the tracking control time is only 9.3 ms, which has good tracking control effect of assembly robot processing station.
    Keywords: narrow band internet of things; assembly robot; clustering algorithm; processing position; genetic algorithm; tracking control.
    DOI: 10.1504/IJIMS.2023.10051520
  • Optimal strategies for an uncertain forward and reverse multi-period logistics network using heuristic algorithm: A case study of Shanghai perishable products   Order a copy of this article
    by Jianquan Guo, Lian Chen, Bingzi Tang, Mitsuo Gen 
    Abstract: In view of the high economic volatility, serious environmental pollution and updated demands of customers for distribution efficiency caused by uncertain demand or recovery, improper handling and untimely delivery of perishable products under various circumstances. An uncertain perishable products forward and reverse logistics network and its optimal strategies are proposed with the consideration of multi-period and multi-objective. The first objective is to minimise the overall cost of the system, the second objective is minimum environmental impact and the third one is about just-in-time delivery. Model’s validity was proved by a hybrid GA-PSO algorithm, aided by an exact solver (CPLEX) with a case of a perishable products enterprise in Shanghai. Finally, some useful references and managerial insights are proposed to create a forward and reverse logistics network for perishable products enterprises.
    Keywords: perishable products; uncertain forward and reverse logistics network; multi-period and multi-objective; hybrid particle swarm optimisation and genetic algorithm.
    DOI: 10.1504/IJIMS.2024.10051752
  • Multi-objective Scheduling Method of Workflow Task Based on Tabu Search Algorithm   Order a copy of this article
    by Jie Zhao, Chungeng Ma, Wenyan Zhao 
    Abstract: In order to reduce the execution cost of multi-objective scheduling of workflow tasks, a multi-objective scheduling method of workflow tasks based on tabu search algorithm is designed. With the optimisation goals of transmission volume, load balance and time consumption, a multi-objective scheduling model of workflow tasks is constructed; combined with the tabu search algorithm and sequential quadratic programming method, the TS-SQP algorithm is designed to solve the objective function model and complete the multi-objective scheduling of tasks. The test results show that the execution cost of a single job of this method is reduced to 0.42 yuan, and the satisfaction of the deadline is higher than 40%, which can obtain a better scheduling effect.
    Keywords: tabu search algorithm; load balancing; workflow task; sequential quadratic programming method; multi-objective scheduling.
    DOI: 10.1504/IJIMS.2023.10051872
  • Data fusion method of industrial Internet of Things based on fuzzy theory   Order a copy of this article
    by Qiaoyun Chen, Chunmeng Lu 
    Abstract: In order to overcome the problem of poor data fusion effect of data fusion method. This paper proposes a data fusion method of industrial internet of Things based on fuzzy theory. Firstly, the data acquisition area is divided and the data is collected by the absolute median difference method. Secondly, fuzzy set is constructed to extract data attribute features according to membership function. Then, the trusted data is screened by clustering routing protocol and classified by exponential smoothing method. Finally, the spatial and temporal correlation degree is used to allocate the fusion weights, and the industrial internet of things data fusion is carried out by fuzzy theory. Experimental results show that the classification accuracy of the proposed method can reach 99%, the data fusion rate can reach 99.5%, and the fusion time is only 3.92 s. The proposed method can improve the data fusion effect.
    Keywords: clustering routing protocol; fuzzy theory; fuzzy classification; membership function.
    DOI: 10.1504/IJIMS.2023.10051928
  • High-fidelity modelling of multiple transporters block transportation based on digital twin at shipyards   Order a copy of this article
    by Tian Luo, Zhenyu Xu, Xin Song, Miaomiao Sun 
    Abstract: In order to solve the problems of poor scheduling and inefficiency of transporters in block transportation at shipyard, this paper proposed a framework of multiple transporters for block transportation scheduling systems with a digital twin-based (DT) five-dimensional model. The proposed framework can be used to identify low-efficiency of multidisciplinary, multi-physics, multiscale, and dynamic changes over time at shipyards to optimise the efficiency of multiple transporter scheduling and block transportation. DT provides the fidelity required to realistically predict transporter scheduling schemes with rescheduling actions under various interference conditions. The high-fidelity model is investigated using three levels of geometry, dynamics and data. An optimal simulation model experiment with multiple transporters is adopted to improve transportation efficiency. The results show that the proposed DT framework and high-fidelity model are effective, and both the utilisation of transporters and the transportation efficiency of blocks are improved.
    Keywords: high-fidelity modelling; simulation; block transportation; multiple transporters transportation; digital twin; DT.
    DOI: 10.1504/IJIMS.2024.10052164
  • Risk Analysis of Private Equity Financing of Manufacturing Industry Based on DANP model   Order a copy of this article
    by Haotian Ma, Alia Erbolat, Rende Li 
    Abstract: The risk of private equity financing is a multi-level, multi-factor complex system, and its risk assessment has the characteristics of ambiguity and uncertainty. In order to be able to conduct a comprehensive and effective evaluation of private equity financing under carbon neutrality, a DNP method of hybrid multi-objective decision MCDM is applied to evaluate the risk of private equity financing. The results show that: The DANP method uses the ANP method to perform the double-weighted operation to obtain the mixed weight of the four-level index based on the weight of the three-level index of the DEMATEL method. It considers the interaction between levels and makes the risk analysis of private equity financing more reliable. Besides, empirical analysis of the impact of various influencing factors on private equity financing. The research results not only reduce the investment risk of private equity funds in the financing process but also make better assessments for financing companies. It also improves the DANP method and performs double-weighted mixed operations between levels to avoid the unreliability of the system, thereby enriching the risk research of private equity financing based on quantitative methods.
    Keywords: private equity financing; risk assessing indicator system; risk evaluation; DANP model; blended weight; manufacturing industry.
    DOI: 10.1504/IJIMS.2024.10052437
  • Multi-path reliable routing technology of industrial Internet of things based on sparrow search algorithm   Order a copy of this article
    by Chungeng Ma, Wenjing Ma, Lixia Hou 
    Abstract: The routing technology of industrial Internet of Things (IoT) has no obvious advantages in reliability and balance, so a multi-path reliable routing technology of industrial IoT based on sparrow search algorithm is proposed in this paper. Firstly, a topology model is constructed by comprehensively considering the node part and path connection mode of the industrial IoT. Then the hierarchical protocol is used to set up the routing protocol, and calculate the trust degree of nodes and paths of the industrial IoT. Finally, the sparrow search algorithm is used to select the reliable data transmission path. Through route switching and updating, the multi-path reliable routing technology of the industrial IoT is realized. The experimental results show that the data delivery rate of this technology is increased by 2.67%, and the routing load balance is significantly improved, that is, it has obvious advantages in reliability and balance.
    Keywords: Sparrow search algorithm; Industrial Internet of things; Multipath routing; Reliable routing; Chinese library classification number: TP393 Document identification code: A.
    DOI: 10.1504/IJIMS.2023.10054244
  • Optimization of site selection for urban material distribution during the COVID-19 pandemic   Order a copy of this article
    by Houjun Lu, Tian Zhu 
    Abstract: Improving the resilience of regional logistics and supply chains in controlled cities as the COVID-19 epidemic normalises can have a positive impact on epidemic prevention and management. This paper proposes a resilient logistics mode that establishes large warehouses outside sealed and controlled urban areas to support the distribution of materials required for the public. The selection of the material distribution sites is essential to save cost and time during the distribution process. The distribution of materials in urban communities is disrupted by uncertain factors, such as regional road closures and controls, impassable roads and diminished transport capacity. Therefore, for epidemic containment and control, a site selection model for material distribution in urban areas is required. The site selection has two goals, achieving the highest satisfaction in the demand points, and obtaining the lowest total construction costs in the distribution points. In addition, a risk coefficient for road closure and control is introduced to construct a multi-attribute satisfaction decay function. The division of the epidemic prevention and control stages is described with the quantitative variables of the epidemic control measures.
    Keywords: epidemic lockdown; resilient logistics; site selection; simulated annealing algorithm.
    DOI: 10.1504/IJIMS.2024.10054388
  • Fault location method of industrial Ethernet communication line based on Bayesian   Order a copy of this article
    by Yang LIU, Mingli LIU, Ge ZHANG, Shaofeng ZHAO, Ze WANG 
    Abstract: Because the traditional fault location method of industrial Ethernet network communication line has the problems of high location false alarm rate, low location accuracy rate and long location time, a Bayesian-based industrial Ethernet network communication line fault location method is proposed. First, the fault signal is measured by discrete Fourier transform algorithm. Then according to the measurement results, the fault features are extracted. Finally, the extracted features are input into Bayesian as training samples, and Bayesian is used to calculate the maximum posterior probability output corresponding to the input data, build a fault localisation model, and obtain the localisation results. The experimental results show that the fault localisation rate of the proposed method is only 0.8%, the localisation accuracy rate is as high as 98.6%, and the localisation time is 10.3 s. The fault localisation effect is good, and the fault localisation time can be effectively shortened.
    Keywords: Bayesian; industrial Ethernet network; information entropy; communication line; fault location.
    DOI: 10.1504/IJIMS.2024.10054812
  • NSGA-II-based study of carbon emissions in service-based manufacturing supply chains   Order a copy of this article
    by Ruipeng Wang, Yuhong Tai, Li Ma 
    Abstract: This paper introduces the concept of a service-based manufacturing supply chain, and explores the different performance of logistics cost and carbon emission with different number of supply chain participants by the NSGA-II algorithm. This study expands the scope and application perspective of genetic algorithms in supply chain management and provides theoretical explanations and model support for low-carbon transformation and low-cost operations in service-based manufacturing supply chains. Three main results are presented: 1) Carbon emissions and logistics costs are negatively correlated with the number of iterations, and as the number of iterations increases, these two values first decrease, then slow down and finally stabilise. 2) The iteration curves of carbon emissions and logistics costs show a high degree of similarity. 3) Firms in service manufacturing supply chains need to focus on both carbon emissions and logistics costs.
    Keywords: carbon emission; service-based manufacturing supply chain; logistics costs; transportation; NSGA-? algorithm; manufacturer; carbon footprint; control; service integrator; optimization.
    DOI: 10.1504/IJIMS.2024.10055281
  • Carbon emission efficiency and foreign direct investment: the role of green financial development   Order a copy of this article
    by Xin Guo, Jiang Wang 
    Abstract: Prevailing research suggests foreign direct investment (FDI) significantly impacts carbon emission efficiency (CEE) of the host country. However, the contribution of FDI may depend on the level of green financial development in the host country. This study examines the role of green financial development in the relationship between FDI and CEE. Based on panel data from 30 provinces in China from 2005 to 2019, we construct the system generalised method of moments (GMM) model and a dynamic threshold effect model to investigate how green financial development influences the impact of FDI on the CEE of the host country. The findings suggested that green financial development plays a moderating role in the impact of FDI on CEE. But only when it reaches a certain level can FDI significantly promote CEE. The empirical analysis suggests that policymakers should build a multilevel green financial system to allocate financial resources and maximise the spillover effects of FDI.
    Keywords: foreign direct investment; FDI; carbon emission efficiency; CEE; green financial development; generalised method of moments; GMM.
    DOI: 10.1504/IJIMS.2024.10055664
  • An abnormal node location method of industrial Internet of things based on feature fuzzy clustering   Order a copy of this article
    by Qiaoyun Chen, Chunmeng Lu 
    Abstract: In order to overcome the problems of low positioning accuracy and long time-consuming of traditional anomaly node location methods, a new anomaly node location method of industrial internet of things based on feature fuzzy clustering is proposed in this paper. Firstly, collect the operation data of all nodes in the coverage area of the industrial internet of things. Secondly, according to the node operation data collection results, the standard deviation method is used to standardise the industrial internet of things node data, and extract the characteristics of abnormal nodes. Finally, the fuzzy clustering method is used to cluster the abnormal nodes, and the trilateral localisation method is used to locate the abnormal nodes according to the clustering results. The experimental results show that this method can reduce the positioning time on the premise of improving the positioning accuracy, and the average positioning accuracy reaches 99.11%.
    Keywords: feature extraction; fuzzy clustering; industrial internet of things; abnormal node location.
    DOI: 10.1504/IJIMS.2024.10056157
  • Management of Class-Room Stress with the help of Vedic Teaching Philosophy   Order a copy of this article
    by Sachin Srivastava, Khushboo Agnihotri, Omdeep Gupta 
    Abstract: Changing business environment and competitive conditions in the market has led to increase in stress level among people which is a major cause of concern for all classes. Uncertainty and unpredictable conditions in the environment and pressure of being the best has led to unrest in the society. The research paper discusses different kinds of pressure like work pressure, family pressure, societal pressure, etc. At times, stress reasons are uncontrollable due to which people get indulged into wrong habits. Business organisations also contribute in the mentioned mental issue by separating the employees with immediate action due to their poor performance. This leads to rise in unemployment rate in the economy. The current research paper focuses on the requirement of maintaining a healthy and stress-free environment within an organisation. This paper will discuss the techniques suggested by ancient Hindu literature to guide people and management how to face pressure in organisation.
    Keywords: stress; stress management; human gunas; college students; study pressure.
    DOI: 10.1504/IJIMS.2024.10057216
  • Research on cloud anti-counterfeiting product packaging design based on Internet of Things   Order a copy of this article
    by Dapeng Zhou, Miao Miao 
    Abstract: Aiming at the problems such as low security coefficient of security and large error of package generation in cloud security product packaging, the design method of cloud security product packaging based on the internet of things technology was studied. Firstly, the thumbnail of the cloud security watermark is formed after the image is downsampled according to the sampling theory. The security information is initially hidden by displacement transformation, and the cloud security encryption watermark is generated by combining with the NTRU algorithm. Finally, the internet of things (IoT) technology was introduced to design the backscatter modulation of cloud anti-counterfeiting wireless communication, and a package automatic generation system embedded with package cloud anti-counterfeiting code was constructed. The maximum likelihood estimation optimisation generation system was used to realise the package design of cloud anti-counterfeiting products. The experimental results show that the security factor of the proposed method is 0.99, the packaging generation error is less than 0.2%, and the time is less, so the method has higher application value.
    Keywords: internet of things technology; IoT; cloud anti-counterfeiting products; packing design; NTRU algorithm; cloud anti-counterfeiting watermark.
    DOI: 10.1504/IJIMS.2024.10059277