International Journal of Manufacturing Technology and Management (IJMTM)

International Journal of Manufacturing Technology and Management

2025 Vol.39 No.1/2

Special Issue on: Intelligent Sensing, Monitoring, and Optimisation of Advanced Manufacturing Systems

Guest Editor: Prof. A.W. Zhou


Pages Title and author(s)
1-18Analysis of the factors influencing the sustainable development of the manufacturing industry under the wave of Industry 4.0
Xiaoying Bai; Yulong Wan
DOI: 10.1504/IJMTM.2025.144128
19-30Digital packaging design method of intelligent products based on internet of things technology
Gai Song
DOI: 10.1504/IJMTM.2025.144124
31-43Real-time location method of electric power material storage based on RFID technology
Fei Li; Tuo Xin
DOI: 10.1504/IJMTM.2025.144123
44-58Risk assessment method of human resources outsourcing based on risk matrix
Yi Zhou
DOI: 10.1504/IJMTM.2025.144122
59-73Service quality evaluation of agricultural cold chain logistics supply chain based on k-means clustering algorithm
YuXi Zhang
DOI: 10.1504/IJMTM.2025.144121
74-88Study on cost benefit estimation of enterprise environmental management based on multiple linear regression
Mi Wang
DOI: 10.1504/IJMTM.2025.144120
89-104Research on welding path modification of welding industrial robot based on leapfrog algorithm
Fangwei Pan
DOI: 10.1504/IJMTM.2025.144119
105-121Research on the integrated logistics supply chain management model of foreign trade processing products
Kui Wang; Fangfang Zhang; Jizhi Wang; Hongmei Zhao
DOI: 10.1504/IJMTM.2025.144118
122-136Multi-product supply chain scheduling method based on hybrid genetic algorithm
Lingmin Yang
DOI: 10.1504/IJMTM.2025.144117
137-151A method for surface wear detection of machined parts based on image processing
Weilin Zeng; Weizhao Guo; Jiang Qiu; Hong Wen
DOI: 10.1504/IJMTM.2025.144116
152-167Study on intelligent control method of pharmaceutical production quality based on chromatographic fingerprint
Liyuan Zhang; Yong Yang; Xuefeng Wang
DOI: 10.1504/IJMTM.2025.144115
168-181Design of real-time monitoring method for production line equipment status based on cloud computing and internet of things technology
Pei Li; Jing Yuan; Yawen Hong; Yashe Lei
DOI: 10.1504/IJMTM.2025.144127

 

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