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Статті в журналах з теми "RFID Network Planning"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Guo, Dong Liang, Qiao Xiang, and Zhong Hua Li. "Hybrid Intelligent Optimization Approach for RFID Network Planning." Applied Mechanics and Materials 596 (July 2014): 230–33. http://dx.doi.org/10.4028/www.scientific.net/amm.596.230.

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Анотація:

Radio Frequency Identification (RFID) is a kind of short-range radio technology for data acquisition and automatic identification. In large scale application of RFID system, RFID network planning (RNP) is one of the fundamental tasks need to be fulfilled. This paper proposed an efficient hybrid intelligent optimization approach for RNP. A RNP optimization model is designed in considering of coverage, cost, and the radiated power of readers. A hybrid intelligent optimization approach is proposed to optimize the model in a hierarchical fashion. Firstly, we used the intelligent optimization algor

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2

Ait Lhadj Lamin, S., A. Raghib, and B. Abou El Majd. "Robust multi-objective optimization for solving the RFID network planning problem." Mathematical Modeling and Computing 8, no. 4 (2021): 616–26. http://dx.doi.org/10.23939/mmc2021.04.616.

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Анотація:

Radio-frequency identification (RFID) is a new technology used for identifying and tracking objects or people by radio-frequency waves to facilitate automated traceability and data collection. The RFID system consists of an electronic tag attached to an object, readers, and a middleware. In the latest real applications based on the RFID technology, the deployment of readers has become a central issue for RFID network planning by means of optimizing several objectives such as the coverage of tags, the number of readers, and the readers/tags interferences. In practice, the system is affected by

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3

Qasim Mohammed, Shaymaa, Mohammed Najm Abdullah, and Ahmed Sabah Al-Araji. "One decade of radio frequency identification (RFID) Network Planning (RFID-NP)." Measurement: Sensors 26 (April 2023): 100696. http://dx.doi.org/10.1016/j.measen.2023.100696.

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4

Raghib, Abdelkader, and Badr Abou El Majd. "Multi-Objective Decision Aid Application for RFID Network Planning." MATEC Web of Conferences 200 (2018): 00017. http://dx.doi.org/10.1051/matecconf/201820000017.

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Анотація:

The Radio Frequency Identification system (RFID) is a generic term for technologies of a type of automatic identification system that use radio-frequency waves to automatically identify people or objects. Multiple RFID readers are required to detect and monitor the tags in the network area due to their limited interrogation range. Therefore, the cost of the RFID System, its efficiency in the communication process, and the number of tags covered directly depend on the number of deployed readers. In this work, we present a new many/multi-objective model with the aim to achieve the optimal soluti

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5

Hoa, Le Van, Nguyen Van Tung, and Vo Viet Minh Nhat. "An Approach to Hopfield Network-Based Energy-Efficient RFID Network Planning." Cybernetics and Information Technologies 24, no. 2 (2024): 50–66. http://dx.doi.org/10.2478/cait-2024-0015.

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Abstract Radio Frequency IDentification (RFID) Network Planning (RNP) is the problem of placing RFID readers in a working area where a tag is interrogated by at least one reader and at the same time satisfies some constraints such as minimum number of placed readers, minimal interference, and minimal outside coverage. The RNP optimization has been proven NP-hard; thus, natural-inspired approaches are often used to find the optimal solution. The paper proposes an energy-efficient RNP approach in which the positions of placed readers are optimized by a Hopfield network, and the energy efficiency

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6

Ait Lhadj Lamin, S., A. Raghib, and B. Abou El Majd. "An effective approach in robustness optimization for solving the RFID network planning problem with uncertainty." Mathematical Modeling and Computing 11, no. 1 (2024): 70–83. http://dx.doi.org/10.23939/mmc2024.01.070.

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Анотація:

RFID technology enables remote storage and retrieval of data on RFID tags, making it a versatile and efficient tool with widespread applications in various industries. This paper presents a solution to the challenge of deploying RFID readers, which has been a persistent problem in the RFID technology practical and theoretical communities. To address the deployment problem, the paper proposes a robust multi-objective approach that optimizes many requested objectives as: coverage, the number of deployed readers, and interference while taking into account uncontrollable parameters in the system.

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7

Huda, Huda, and Farah Q. Abdullah AL AL-Khalidi. "Evaluation Software and IT Integration for IoT-based Healthcare Radio Frequency Identification Network Planning." Fusion: Practice and Applications 15, no. 2 (2024): 288–97. http://dx.doi.org/10.54216/fpa.150224.

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For Internet of Things (IoT)-based on healthcare systems to autonomously monitor patients, radio frequency identification, or RFID, its essential. It is difficult to guarantee complete coverage throughout sizable healthcare facilities with a small number of RFID readers, though Software for RFID network planning must be optimized. The purpose of this paper is about optimizing related software and suggest a topological RFID network planning strategy that will minimize reader interference while deploying the fewest possible readers. The best location for RFID tags on patients as well as readers

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8

Chen, Hanning, Yunlong Zhu, Lianbo Ma, and Ben Niu. "Multiobjective RFID Network Optimization Using Multiobjective Evolutionary and Swarm Intelligence Approaches." Mathematical Problems in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/961412.

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Анотація:

The development of radio frequency identification (RFID) technology generates the most challenging RFID network planning (RNP) problem, which needs to be solved in order to operate the large-scale RFID network in an optimal fashion. RNP involves many objectives and constraints and has been proven to be a NP-hard multi-objective problem. The application of evolutionary algorithm (EA) and swarm intelligence (SI) for solving multiobjective RNP (MORNP) has gained significant attention in the literature, but these algorithms always transform multiple objectives into a single objective by weighted c

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9

Chen, Hanning, Yunlong Zhu, Kunyuan Hu, and Tao Ku. "RFID network planning using a multi-swarm optimizer." Journal of Network and Computer Applications 34, no. 3 (2011): 888–901. http://dx.doi.org/10.1016/j.jnca.2010.04.004.

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10

Heba, M. Elewe*. "ANGULAR BASED MODEL FOR RFID NETWORK PLANNING FOR WAREHOUSE MANAGEMENT SYSTEM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 4, no. 10 (2017): 132–37. https://doi.org/10.5281/zenodo.1034499.

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Анотація:

Large scale warehouses often apply the RFID Network Planning (RNP) strategy to efficiently track assets, which can lead to significant revenue gain. For this reason, this research has developed a three dimension RFID network planning model that can improve warehouse management. The mathematical model of the RFID network planning is concerned with two major issues. The first one is the correlation between the reader height and the rack levels. The second issue is to specify the optimal tag coverage based on the elliptical interrogation reader range. The DBFA algorithm is used as a method to eva

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11

Munkailu, M. F., S. M. Sani, and A. M. S. Tekanyi. "Development of a sparse RFID reader deployment algorithm for effective RFID network planning." Nigerian Journal of Technology 37, no. 3 (2018): 779. http://dx.doi.org/10.4314/njt.v37i3.29.

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12

Hasnan, Khalid, Aftab Ahmed, Badrul Aisham, Qadir Bakhsh, Kamran Latif, and Kashif Hussain. "Integration of RFID Network Planning with Xbee Network: A New Approach." International Journal of Smart Home 10, no. 4 (2016): 325–34. http://dx.doi.org/10.14257/ijsh.2016.10.4.28.

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13

Cao, Yating, Jing Liu, and Zhouwu Xu. "A hybrid particle swarm optimization algorithm for RFID network planning." Soft Computing 25, no. 7 (2021): 5747–61. http://dx.doi.org/10.1007/s00500-020-05569-1.

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14

Maimouni, Mustapha, Badr Abou El Majd, and Mohsine Bouya. "RFID network planning using a new hybrid ANNs-based approach." Connection Science 34, no. 1 (2022): 2265–90. http://dx.doi.org/10.1080/09540091.2022.2115011.

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15

Ma, Lianbo, Hanning Chen, Kunyuan Hu, and Yunlong Zhu. "Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization." Scientific World Journal 2014 (2014): 1–21. http://dx.doi.org/10.1155/2014/941532.

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Анотація:

This paper presents a novel optimization algorithm, namely, hierarchical artificial bee colony optimization, called HABC, to tackle the radio frequency identification network planning (RNP) problem. In the proposed multilevel model, the higher-level species can be aggregated by the subpopulations from lower level. In the bottom level, each subpopulation employing the canonical ABC method searches the part-dimensional optimum in parallel, which can be constructed into a complete solution for the upper level. At the same time, the comprehensive learning method with crossover and mutation operato

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16

Tang, Lin, Hui Cao, Li Zheng, and Ningjian Huang. "RFID network planning for wireless manufacturing considering the detection uncertainty." IFAC-PapersOnLine 48, no. 3 (2015): 406–11. http://dx.doi.org/10.1016/j.ifacol.2015.06.115.

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17

Nawawi, Azli, Khalid Hasnan, and Salleh Ahmad Bareduan. "Correlation between RFID Network Planning (RNP) Parameters and Particle Swarm Optimization (PSO) Solutions." Applied Mechanics and Materials 465-466 (December 2013): 1245–49. http://dx.doi.org/10.4028/www.scientific.net/amm.465-466.1245.

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Анотація:

Particle Swarm Optimization (PSO) algorithm is often used for solving RFID Network Planning (RNP) problems. However, the direct correlation between RNP parameters (coordinates and power settings of RFID readers) and PSO solutions is rarely shown. This is due to the fact that most researches done in this field focus more on the development of new variants of PSO and the optimization result. For that reason, this paper tends to investigate the correlation between RNP parameters and PSO solutions. One of RNP objectives (Optimal Tag Coverage) is taken as an example. The formula of optimal tag cove

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18

Le Van, Hoa, and Minh Nhat Viet. "An Artificial Neural Network-Based RFID Network Planning Method for Asset Monitoring in Healthcare." INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS 24, no. 3 (2024): 181–93. http://dx.doi.org/10.5391/ijfis.2024.24.3.181.

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19

Ma, Lianbo, Kunyuan Hu, Yunlong Zhu, and Hanning Chen. "Cooperative artificial bee colony algorithm for multi-objective RFID network planning." Journal of Network and Computer Applications 42 (June 2014): 143–62. http://dx.doi.org/10.1016/j.jnca.2014.02.012.

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20

Tang, Lin, Hui Cao, Li Zheng, and Ningjian Huang. "Uncertainty-aware RFID network planning for target detection and target location." Journal of Network and Computer Applications 74 (October 2016): 21–30. http://dx.doi.org/10.1016/j.jnca.2016.08.003.

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21

Zhang, Tao, and Jing Liu. "An efficient and fast kinematics-based algorithm for RFID network planning." Computer Networks 121 (July 2017): 13–24. http://dx.doi.org/10.1016/j.comnet.2017.04.035.

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22

Aghdam, Ali Sanagooy, Abbas Toloie Eshlaghy, Mohammad Ali Afshar Kazemi, and Amir Danehsvar. "RFID network planning optimization using a genetic-simulated annealing combined algorithm." China Communications 20, no. 8 (2023): 234–53. http://dx.doi.org/10.23919/jcc.fa.2021-0762.202308.

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23

Lv, Yaqiong, and Danping Lin. "Design an intelligent real-time operation planning system in distributed manufacturing network." Industrial Management & Data Systems 117, no. 4 (2017): 742–53. http://dx.doi.org/10.1108/imds-06-2016-0220.

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Анотація:

Purpose With the new generation Industry 4.0 coming, as well as globalization and outsourcing, products are fabricated by different parties in the distributed manufacturing network and enterprises face the challenge of consistent planning of semi-finished product in each manufacturing process in different geographical locations. The purpose of this paper is to propose a real-time operation planning system in the distributed manufacturing network to intelligently control/plan the manufacturing networks. Design/methodology/approach The feature of the proposed system is to model and simulate larg

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24

Azizi, Aydin. "Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing." Complexity 2017 (2017): 1–18. http://dx.doi.org/10.1155/2017/8728209.

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Анотація:

Recent advances in modern manufacturing industries have created a great need to track and identify objects and parts by obtaining real-time information. One of the main technologies which has been utilized for this need is the Radio Frequency Identification (RFID) system. As a result of adopting this technology to the manufacturing industry environment, RFID Network Planning (RNP) has become a challenge. Mainly RNP deals with calculating the number and position of antennas which should be deployed in the RFID network to achieve full coverage of the tags that need to be read. The ultimate goal

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25

Tang, Lin, Li Zheng, Hui Cao, and Ningjian Huang. "An improved multi-objective genetic algorithm for heterogeneous coverage RFID network planning." International Journal of Production Research 54, no. 8 (2015): 2227–40. http://dx.doi.org/10.1080/00207543.2015.1057299.

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26

Yuan, Chaochun, Chen Hanning, Jie Shen, et al. "Indicator-based multi-objective adaptive bacterial foraging algorithm for RFID network planning." Cluster Computing 22, S5 (2018): 12649–57. http://dx.doi.org/10.1007/s10586-018-1715-0.

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27

Zhao, Chuanxin, Changzhi Wu, Jian Chai, et al. "Decomposition-based multi-objective firefly algorithm for RFID network planning with uncertainty." Applied Soft Computing 55 (June 2017): 549–64. http://dx.doi.org/10.1016/j.asoc.2017.02.009.

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28

Le, Van Hoa. "An Optimal Model for Allocation Readers with Grid Cell Size and Arbitrary Workspace Shapes in RFID Network Planning." Journal of Internet Services and Information Security 14, no. 1 (2024): 180–94. http://dx.doi.org/10.58346/jisis.2024.i1.012.

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Анотація:

RFID Network Planning (RNP) is the problem of deploying RFID readers within a workspace so that each tag can be covered by at least one reader. The objective of RNP is to determine the optimal positions of readers while satisfying certain constraints, such as maximum coverage, minimal interference, load balance among readers, etc. However, most previous studies considered the workspace rectangular or square and assumed a fixed number of readers. They then employed some heuristic methods to find the optimal reader positions. This approach is not practical because the workspace can have any shap

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29

Xie, Xiaode, Jiali Zheng, Minyu Feng, Siyi He, and Zihan Lin. "Multi-Objective Mayfly Optimization Algorithm Based on Dimensional Swap Variation for RFID Network Planning." IEEE Sensors Journal 22, no. 7 (2022): 7311–23. http://dx.doi.org/10.1109/jsen.2022.3151932.

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30

Hasnan, K., N. H. Talib, and A. Nawawi. "Analysis of gradient-based cuckoo search for the large scale optimal rfid network planning." Journal of Physics: Conference Series 1150 (January 2019): 012008. http://dx.doi.org/10.1088/1742-6596/1150/1/012008.

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31

Lu, Shilei, and Shunzheng Yu. "A fuzzy k -coverage approach for RFID network planning using plant growth simulation algorithm." Journal of Network and Computer Applications 39 (March 2014): 280–91. http://dx.doi.org/10.1016/j.jnca.2013.07.015.

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32

Zahran, E. G., A. A. Arafa, H. I. Saleh, and M. I. Dessouky. "A self learned invasive weed-mixed biogeography based optimization algorithm for RFID network planning." Wireless Networks 26, no. 6 (2020): 4109–27. http://dx.doi.org/10.1007/s11276-020-02316-0.

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33

Chen, Hanning, Yunlong Zhu, and Kunyuan Hu. "Multi-colony bacteria foraging optimization with cell-to-cell communication for RFID network planning." Applied Soft Computing 10, no. 2 (2010): 539–47. http://dx.doi.org/10.1016/j.asoc.2009.08.023.

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34

Yejiao, Wang, Hazalila Kamaludin, Nayef Abdulwahab Mohammed Alduais, Noor Zuraidin Mohd Safar, and Hao Zhongchao. "RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review." IEEE Access 12 (2024): 64980–96. http://dx.doi.org/10.1109/access.2024.3397402.

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35

Wang, Yamin, Shuai Ma, Yuan Li, et al. "Constrained multi-objective particle swarm optimization for bistatic RFID network planning with distributed antennas." Swarm and Evolutionary Computation 94 (April 2025): 101882. https://doi.org/10.1016/j.swevo.2025.101882.

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36

Shokouhifar, Mohammad. "Swarm intelligence RFID network planning using multi-antenna readers for asset tracking in hospital environments." Computer Networks 198 (October 2021): 108427. http://dx.doi.org/10.1016/j.comnet.2021.108427.

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37

Gong, Yue-Jiao, Meie Shen, Jun Zhang, Okyay Kaynak, Wei-Neng Chen, and Zhi-Hui Zhan. "Optimizing RFID Network Planning by Using a Particle Swarm Optimization Algorithm With Redundant Reader Elimination." IEEE Transactions on Industrial Informatics 8, no. 4 (2012): 900–912. http://dx.doi.org/10.1109/tii.2012.2205390.

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38

Lantu, Maria. "The impact of RFID on the supply chain for engineering shutdowns." APPEA Journal 55, no. 2 (2015): 411. http://dx.doi.org/10.1071/aj14046.

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Анотація:

Shutdown activity is heavily reliant on supply chain functions, yet planning is frequently based on incorrect or incomplete information. The flow of materials and equipment is critical to preserving the schedule and budget; however, in most projects, the location of critical materials is manually tracked using spreadsheets or relies on limited enterprise resource planning (ERP) system functionality. This creates a number of problems, as there is no automated or accurate method of locating or ensuring material is available after it has left the manufacturer/supply base and is issued for install

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39

Lan, Chien-Wu, and Chi-Yao Chang. "Development of a Low Cost and Path-free Autonomous Patrol System Based on Stereo Vision System and Checking Flags." Applied Sciences 10, no. 3 (2020): 974. http://dx.doi.org/10.3390/app10030974.

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Nowadays, security guard patrol services are becoming roboticized. However, high construction prices and complex systems make patrol robots difficult to be popularized. In this research, a simplified autonomous patrolling robot is proposed, which is fabricated by upgrading a wheeling household robot with stereo vision system (SVS), radio frequency identification (RFID) module, and laptop. The robot has four functions: independent patrolling without path planning, checking, intruder detection, and wireless backup. At first, depth information of the environment is analyzed through SVS to find a

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40

Denuwara, Navodya, Juha Maijala, and Marko Hakovirta. "Sustainability Benefits of RFID Technology in the Apparel Industry." Sustainability 11, no. 22 (2019): 6477. http://dx.doi.org/10.3390/su11226477.

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Анотація:

Digitalization and big data are currently moving many industries forward and creating value-added efficiency improvements, new services, and business models. One area in industrial digitalization is RFID (Radio Frequency Identification) and related sensor technologies with benefits in asset visibility, employee productivity, risk management, loss, and theft mitigation. This literature review article is focused on specifically looking at digitalization in the apparel industry. Due to its complex global network, it has been a challenging industry to implement such technological advancements. Rec

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41

Talib, Nihad Hasan, Khalid Bin Hasnan, Azli Bin Nawawi, Haslina Binti Abdullah, and Adel Muhsin Elewe. "Monitoring Large-Scale Rail Transit Systems Based on an Analytic Hierarchy Process/Gradient-Based Cuckoo Search Algorithm (GBCS) Scheme." Urban Rail Transit 6, no. 2 (2020): 132–44. http://dx.doi.org/10.1007/s40864-020-00126-3.

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Abstract Condition monitoring is used as a tool for maintenance management and function as input to decision support. Thus the key parameters in preventing severe damage to railway assets can be determined by automatic real-time monitoring. The technique of radio-frequency identification (RFID) is increasingly applied for the automatic real-time monitoring and control of railway assets, which employs radio waves without the use of physical contact. In this work, a 243-km2 area of Kuala Lumpur was selected. Because of its large size, determining the locations in which to install the RFID reader

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42

Hussein, Nisreen A., and Mohammed M. Fayyadh. "Real-time monitoring of clinic risks using an integrated RFID-FA scheme." Bulletin of Electrical Engineering and Informatics 10, no. 2 (2021): 999–1007. http://dx.doi.org/10.11591/eei.v10i2.2365.

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Анотація:

Patient safety is a global public health concern because of increases in the number of mistreatments due to the improper identification of patients or the improper administration of drugs. Risk in clinic management refers to the systematic process used to specify, control, and analyze organizational risks. The present article developed a new method to detect different objects automatically in real-time by monitoring and controlling the hospital workflow using radio frequency identification (RFID). The system methodology starts with identifying the functional area by detecting the room optical

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43

Nisreen, A. Hussein, and M. Fayyadh Mohammed. "Real-time monitoring of clinic risks using an integrated RFID-FA scheme." Bulletin of Electrical Engineering and Informatics 10, no. 2 (2021): 999~1007. https://doi.org/10.11591/eei.v10i2.2365.

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Анотація:

Patient safety is a global public health concern because of increases in the number of mistreatments due to the improper identification of patients or the improper administration of drugs. Risk in clinic management refers to the systematic process used to specify, control, and analyze organizational risks. The present article developed a new method to detect different objects automatically in real-time by monitoring and controlling the hospital workflow using radio frequency identification (RFID). The system method starts with identifying the functional area by detecting the room optical chara

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44

Li, Jing, Ruifeng Zhang, Yanfeng Jin, and Haiyan Zhang. "Optimal Path of Internet of Things Service in Supply Chain Management Based on Machine Learning Algorithms." Computational Intelligence and Neuroscience 2022 (March 24, 2022): 1–11. http://dx.doi.org/10.1155/2022/4844993.

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Анотація:

With the development of global economic integration, the scale of supply chain network is becoming larger and larger. The research on the benefits of supply chain network under the Internet of Things technology is a new interdisciplinary research issue. Starting from the complexity and evolution of supply chain network, based on machine learning algorithms, this study analyses the service modes of the Internet of Things for supply chain enterprises, such as RFID technology, EDI technology, and enterprise resource planning ERP. Finally, by analyzing the degree of application of the Internet of

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45

Jaballah, Atef, and Aref Meddeb. "A new variant of cuckoo search algorithm with self adaptive parameters to solve complex RFID network planning problem." Wireless Networks 25, no. 4 (2017): 1585–604. http://dx.doi.org/10.1007/s11276-017-1616-9.

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Li, Lunfu. "The Promotion of Rural Lodging Development by a Comprehensive Evaluation Model of Artificial Intelligence Based on Wireless Network." Mobile Information Systems 2022 (March 16, 2022): 1–10. http://dx.doi.org/10.1155/2022/7157775.

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Intelligent scenic planning and management attempt to take advantage of the discipline in the field of artificial intelligence, to explore new roles and models for planning and decision making with the help of machine learning in academic research and to build a complete scenic intelligent management system. Labour costs and energy costs account for a large share of the operating costs of B&Bs. In order to increase revenue while reducing costs and energy losses, this paper designs an unattended intelligent management system for B&Bs. Based on data mining technology, a large amount of B

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Peng, Gao, Shu Hong Chen, and Jun Wu. "Control System of Automotive Transmission Test Line Based on PLC and HMI." Advanced Materials Research 466-467 (February 2012): 561–66. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.561.

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Utomotive Transmission Test Line Is One of Sub-lines of Automotive Transmission Assembly Line Used for Testing the Quality of Assembly. some Automotive Transmission Enterprise Is Taken as Research Content and Application Background. this Paper Puts Forward a Control System of Automotive Transmission Test Line Based on Wincc Flexible and S7-300PLC.Here Contents Including Program Planning, Supervisory System Developing, Control System Programming and Communication Network Configuring Are Shown. by Using RFID Information Collection of the Online Products Is Achieved. Besides, Remote Data Acquisit

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48

Monarca, Danilo, Pierluigi Rossi, Riccardo Alemanno, et al. "Autonomous Vehicles Management in Agriculture with Bluetooth Low Energy (BLE) and Passive Radio Frequency Identification (RFID) for Obstacle Avoidance." Sustainability 14, no. 15 (2022): 9393. http://dx.doi.org/10.3390/su14159393.

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Obstacle avoidance is a key aspect for any autonomous vehicles, and their usage in agriculture must overcome additional challenges such as handling interactions with agricultural workers and other tractors in order to avoid severe accidents. The simultaneous presence of autonomous vehicles and workers on foot definitely calls for safer designs, vehicle management systems and major developments in personal protective equipment (PPE). To cope with these present and future challenges, the “SMARTGRID” project described in this paper deploys an integrated wireless safety network infrastructure base

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Prajapati, Dhirendra, Felix T. S. Chan, H. Chelladurai, Lakshay Lakshay, and Saurabh Pratap. "An Internet of Things Embedded Sustainable Supply Chain Management of B2B E-Commerce." Sustainability 14, no. 9 (2022): 5066. http://dx.doi.org/10.3390/su14095066.

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Adopting digital technologies in a business can help with sustainable supply chain management. These technologies can make e-commerce development faster and empower the emergence of B2B e-commerce businesses. In this study, our focus was to develop a framework for an Internet of things (IoT) embedded sustainable supply chain to deliver textile items using a B2B e-commerce business model. We formulated a mixed-integer non-linear programming (MINLP) model to minimize the total supply chain cost, including the B2B orders’ packaging, handling, and transportation, with carbon emission taxation. Fur

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Kong, Hongshan, and Bin Yu. "Modeling and Optimization of RFID Networks Planning Problem." Wireless Communications and Mobile Computing 2019 (December 7, 2019): 1–7. http://dx.doi.org/10.1155/2019/2745160.

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Анотація:

Aimed at solving the RFID networks planning problem, a mathematical model considering tag coverage and reader interference is presented. The DEEPSO algorithm that adds differential evolution and evolutionary strategies to the standard PSO is introduced to the optimization of RFID Networks Planning, which can improve the global convergence ability and particle diversity and can avoid falling into local convergence. According to the simulation results, compared with RFID networks planning by standard PSO, RFID networks planning by DEEPSO is superior.

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