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ORCIDMing Kim Lim 0001
Ming K. Lim 0001
Person information
- affiliation: Coventry University, Faculty Research Centre for Business in Society, UK
- affiliation: Chongqing University, College of Mechanical Engineering, China
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2020 – today
- 2024
[j60]Ling-Ling Li, Bing-Xiang Ji
, Ming Kim Lim, Ming-Lang Tseng:
Active distribution network operational optimization problem: A multi-objective tuna swarm optimization model. Appl. Soft Comput. 150: 111087 (2024)- [j59]Yan Li, Ming K. Lim, Weiqing Xiong, Xingjun Huang, Yuhe Shi, Songyi Wang:
An electric vehicle routing model with charging stations consideration for sustainable logistics. Ind. Manag. Data Syst. 124(3): 1076-1106 (2024) - [j58]Chao Fu, Qing Lv, Ming-Lang Tseng, Xiancong Wu, Ming K. Lim:
A polynomial scale transformation and improved Wiener process for a novel lithium-ion battery performance degradation model: remaining useful life performance. J. Ambient Intell. Humaniz. Comput. 15(1): 187-196 (2024) - 2023
- [j57]Weiqing Xiong, Ming K. Lim, Ming-Lang Tseng, Yankai Wang:
An effective adaptive adjustment model of task scheduling and resource allocation based on multi-stakeholder interests in cloud manufacturing. Adv. Eng. Informatics 56: 101937 (2023) - [j56]Mei Yang, Ming Kim Lim, Yingchi Qu, Du Ni, Zhi Xiao:
Supply chain risk management with machine learning technology: A literature review and future research directions. Comput. Ind. Eng. 175: 108859 (2023) - [j55]Mei Yang, Ming K. Lim, Yingchi Qu, Xingzhi Li, Du Ni:
Deep neural networks with L1 and L2 regularization for high dimensional corporate credit risk prediction. Expert Syst. Appl. 213(Part): 118873 (2023) - [j54]Du Ni, Ming Kim Lim, Xingzhi Li, Yingchi Qu, Mei Yang:
Monitoring corporate credit risk with multiple data sources. Ind. Manag. Data Syst. 123(2): 434-450 (2023) - [j53]Anisha Banu Dawood Gani, Yudi Fernando, Shulin Lan, Ming K. Lim, Ming-Lang Tseng:
Interplay between cyber supply chain risk management practices and cyber security performance. Ind. Manag. Data Syst. 123(3): 843-861 (2023) - [j52]Chao Wang, Yongkang Sun, Ming K. Lim, Pezhman Ghadimi, Amir Hossein Azadnia:
An analysis of barriers for successful implementation of municipal solid waste management in Beijing: an integrated DEMATEL-MMDE-ISM approach. Ind. Manag. Data Syst. 123(3): 931-966 (2023) - [j51]Wenfeng Zhang, Ming K. Lim, Mei Yang, Xingzhi Li, Du Ni:
Using deep learning to interpolate the missing data in time-series for credit risks along supply chain. Ind. Manag. Data Syst. 123(5): 1401-1417 (2023) - [j50]Yingchi Qu, Ming K. Lim, Mei Yang, Du Ni, Zhi Xiao:
Using random forest to find the discontinuity points for carbon efficiency during COVID-19. Soft Comput. 27(22): 16537-16549 (2023) - 2022
- [j49]Kian Long Tan, Chin-Poo Lee, Ming Kim Lim, Kalaiarasi Sonai Muthu Anbananthen:
Sentiment Analysis With Ensemble Hybrid Deep Learning Model. IEEE Access 10: 103694-103704 (2022) - [j48]Ming K. Lim, Weiqing Xiong, Yankai Wang:
A three-tier programming model for service composition and optimal selection in cloud manufacturing. Comput. Ind. Eng. 167: 108006 (2022) - [j47]Weiqing Xiong, Ming Kim Lim, Ming-Lang Tseng, Chao Wang:
An effective service trust evaluation and preprocessing approach considering multi-user interests in cloud manufacturing. Comput. Ind. Eng. 173: 108728 (2022) - [j46]Ling-Ling Li, Jun-Lin Xiong, Ming-Lang Tseng, Zhou Yan, Ming K. Lim:
Using multi-objective sparrow search algorithm to establish active distribution network dynamic reconfiguration integrated optimization. Expert Syst. Appl. 193: 116445 (2022) - [j45]Lingling Li, Jia-Le Lou, Ming-Lang Tseng, Ming K. Lim, Raymond R. Tan:
A hybrid dynamic economic environmental dispatch model for balancing operating costs and pollutant emissions in renewable energy: A novel improved mayfly algorithm. Expert Syst. Appl. 203: 117411 (2022) - [j44]Yuhe Shi, Yun Lin, Ming K. Lim, Ming-Lang Tseng, Changlu Tan, Yan Li:
An intelligent green scheduling system for sustainable cold chain logistics. Expert Syst. Appl. 209: 118378 (2022) - [j43]Qinyang Bai, Xaioqin Yin, Ming K. Lim, Chenchen Dong:
Low-carbon VRP for cold chain logistics considering real-time traffic conditions in the road network. Ind. Manag. Data Syst. 122(2): 521-543 (2022) - [j42]Ming K. Lim, Yan Li, Chao Wang, Ming-Lang Tseng:
Prediction of cold chain logistics temperature using a novel hybrid model based on the mayfly algorithm and extreme learning machine. Ind. Manag. Data Syst. 122(3): 819-840 (2022) - [j41]Mei Yang, Ming K. Lim, Yingchi Qu, Xingzhi Li, Du Ni:
Repair missing data to improve corporate credit risk prediction accuracy with multi-layer perceptron. Soft Comput. 26(18): 9167-9178 (2022) - 2021
- [j40]Ling-Ling Li, Zhi-Feng Liu, Ming-Lang Tseng, Sheng-Jie Zheng, Ming K. Lim:
Improved tunicate swarm algorithm: Solving the dynamic economic emission dispatch problems. Appl. Soft Comput. 108: 107504 (2021) - [j39]Ming K. Lim, Yan Li, Chao Wang, Ming-Lang Tseng:
A literature review of blockchain technology applications in supply chains: A comprehensive analysis of themes, methodologies and industries. Comput. Ind. Eng. 154: 107133 (2021) - [j38]Jianxin Wang, Ming K. Lim, Chao Wang, Ming-Lang Tseng:
The evolution of the Internet of Things (IoT) over the past 20 years. Comput. Ind. Eng. 155: 107174 (2021) - [j37]Ling-Ling Li, Zhi-Feng Liu, Ming-Lang Tseng, Korbkul Jantarakolica, Ming K. Lim:
Using enhanced crow search algorithm optimization-extreme learning machine model to forecast short-term wind power. Expert Syst. Appl. 184: 115579 (2021) - [j36]Zhimei Lei, Ming K. Lim, Li Cui, Yanzhang Wang:
Modelling of risk transmission and control strategy in the transnational supply chain. Int. J. Prod. Res. 59(1): 148-167 (2021) - [j35]Ming-Lang Tseng, Tat-Dat Bui, Ming K. Lim, Feng Ming Tsai, Raymond R. Tan:
Comparing world regional sustainable supply chain finance using big data analytics: a bibliometric analysis. Ind. Manag. Data Syst. 121(3): 657-700 (2021) - [j34]Ming-Lang Tseng, Taufik Kurrahman, Asik Hanita, Ming K. Lim, Yeneneh Tamirat Negash:
Building a hierarchical framework of corporate sustainability transition challenges using the qualitative information approach. Ind. Manag. Data Syst. 121(5): 1107-1141 (2021) - [j33]Xingjun Huang, Yun Lin, Ming Kim Lim, Ming-Lang Tseng, Fuli Zhou:
The influence of knowledge management on adoption intention of electric vehicles: perspective on technological knowledge. Ind. Manag. Data Syst. 121(7): 1481-1495 (2021) - [j32]Ming K. Lim, Weiqing Xiong, Chao Wang:
Cloud manufacturing architecture: a critical analysis of its development, characteristics and future agenda to support its adoption. Ind. Manag. Data Syst. 121(10): 2143-2180 (2021) - [j31]Ming Kim Lim, Yan Li, Xinyu Song:
Exploring customer satisfaction in cold chain logistics using a text mining approach. Ind. Manag. Data Syst. 121(12): 2426-2449 (2021) - [j30]Du Ni, Zhi Xiao, Ming K. Lim:
Machine learning in recycling business: an investigation of its practicality, benefits and future trends. Soft Comput. 25(12): 7907-7927 (2021) - 2020
- [j29]Guo Li, Ming K. Lim, Zhaohua Wang:
Stakeholders, green manufacturing, and practice performance: empirical evidence from Chinese fashion businesses. Ann. Oper. Res. 290(1): 961-982 (2020) - [j28]Fuli Zhou, Ming Kim Lim, Yandong He, Saurabh Pratap:
What attracts vehicle consumers' buying. Ind. Manag. Data Syst. 120(1): 57-78 (2020) - [j27]Ming K. Lim, Weiqing Xiong, Zhimei Lei:
Theory, supporting technology and application analysis of cloud manufacturing: a systematic and comprehensive literature review. Ind. Manag. Data Syst. 120(8): 1585-1614 (2020) - [j26]Ming K. Lim, Jianxin Wang, Chao Wang, Ming-Lang Tseng:
A novel method for green delivery mode considering shared vehicles in the IoT environment. Ind. Manag. Data Syst. 120(9): 1733-1757 (2020) - [j25]Muhammad Shoaib, Ming K. Lim, Chao Wang:
An integrated framework to prioritize blockchain-based supply chain success factors. Ind. Manag. Data Syst. 120(11): 2103-2131 (2020) - [j24]Du Ni, Zhi Xiao, Ming Kim Lim:
A systematic review of the research trends of machine learning in supply chain management. Int. J. Mach. Learn. Cybern. 11(7): 1463-1482 (2020) - [j23]Jining Zhou, Bo Zhang, Runhua Tan, Ming-Lang Tseng, Remen Chun-Wei Lin, Ming Kim Lim:
Using Neighborhood Rough Set Theory to Address the Smart Elderly Care in Multi-Level Attributes. Symmetry 12(2): 297 (2020)
2010 – 2019
- 2019
- [j22]Marlon Meier, Kim Hua Tan, Ming Kim Lim, Leanne Chung:
Unlocking innovation in the sport industry through additive manufacturing. Bus. Process. Manag. J. 25(3): 456-475 (2019) - [j21]Pezhman Ghadimi, Chao Wang, Ming Kim Lim, Cathal Heavey:
Intelligent sustainable supplier selection using multi-agent technology: Theory and application for Industry 4.0 supply chains. Comput. Ind. Eng. 127: 588-600 (2019) - [j20]Yao Li, Yang Cheng, Qing Hu, Shenghan Zhou, Lei Ma, Ming K. Lim:
The influence of additive manufacturing on the configuration of make-to-order spare parts supply chain under heterogeneous demand. Int. J. Prod. Res. 57(11): 3622-3641 (2019) - [j19]Chao Wang, Longfeng Zhao, André L. M. Vilela, Ming Kim Lim:
The evolution of Industrial Management & Data Systems over the past 25 years. Ind. Manag. Data Syst. 119(1): 2-34 (2019) - [j18]Yan Li, Ming Kim Lim, Ming-Lang Tseng:
A green vehicle routing model based on modified particle swarm optimization for cold chain logistics. Ind. Manag. Data Syst. 119(3): 473-494 (2019) - 2018
- [j17]Ling-Ling Li, Guo-Qian Lin, Ming-Lang Tseng, Kim Hua Tan, Ming Kim Lim:
A maximum power point tracking method for PV system with improved gravitational search algorithm. Appl. Soft Comput. 65: 333-348 (2018) - [j16]Mengru Tu, Ming Kim Lim, Ming-Fang Yang:
IoT-based production logistics and supply chain system - Part 1: Modeling IoT-based manufacturing supply chain. Ind. Manag. Data Syst. 118(1): 65-95 (2018) - [j15]Mengru Tu, Ming Kim Lim, Ming-Fang Yang:
IoT-based production logistics and supply chain system - Part 2: IoT-based cyber-physical system: a framework and evaluation. Ind. Manag. Data Syst. 118(1): 96-125 (2018) - [j14]Lingling Li, Yanfang Yang, Ming-Lang Tseng, Ching-Hsin Wang, Ming Kim Lim:
A novel method to solve sustainable economic power loading dispatch problem. Ind. Manag. Data Syst. 118(4): 806-827 (2018) - [c11]S. Y. Lee, Ming Kim Lim, D. Food, Jiang Hu:
Increasing Rate of Diffusion of Innovation in Supply Chain: Targeting the Early Adopters in UK Supply Chain. APMS (2) 2018: 209-214 - 2017
- [j13]Liquan Chen, Ming Kim Lim, Zijuan Fan:
A Public Key Compression Scheme for Fully Homomorphic Encryption Based on Quadratic Parameters With Correction. IEEE Access 5: 17692-17700 (2017) - [j12]Hing Kai Chan, Ewelina Lacka, Rachel W. Y. Yee, Ming K. Lim:
The role of social media data in operations and production management. Int. J. Prod. Res. 55(17): 5027-5036 (2017) - [c10]Liquan Chen, Ming Kim Lim, Muyang Wang:
Fully Homomorphic Encryption Scheme Based on Public Key Compression and Batch Processing. Inscrypt 2017: 242-259 - [c9]Simon Peter Nadeem, Jose Arturo Garza-Reyes, Sin-Ching Leung, Anass Cherrafi, Anthony Ikechukwu Anosike, Ming Kim Lim:
Lean Manufacturing and Environmental Performance - Exploring the Impact and Relationship. APMS (2) 2017: 331-340 - 2015
- [j11]Ming-Lang Tseng, YuanHsu Lin, Ming Kim Lim, Benito L. Teehankee:
Using a hybrid method to evaluate service innovation in the hotel industry. Appl. Soft Comput. 28: 411-421 (2015) - [j10]Ming-Lang Tseng, Ming Kim Lim, Wai Peng Wong:
Sustainable supply chain management: A closed-loop network hierarchical approach. Ind. Manag. Data Syst. 115(3): 436-461 (2015) - 2014
- [c8]Hing Kai Chan, Ewelina Lacka, Rachel W. Y. Yee, Ming Kim Lim:
A case study on mining social media data. IEEM 2014: 593-596 - [c7]Jose Arturo Garza-Reyes, Gabriela Winck Jacques, Ming Kim Lim, Vikas Kumar, Luis Rocha-Lona:
Lean and Green - Synergies, Differences, Limitations, and the Need for Six Sigma. APMS (2) 2014: 71-81 - 2013
- [j9]Stephen C. H. Leung, Zhenzhen Zhang, Defu Zhang, Xian Hua, Ming Kim Lim:
A meta-heuristic algorithm for heterogeneous fleet vehicle routing problems with two-dimensional loading constraints. Eur. J. Oper. Res. 225(2): 199-210 (2013) - [j8]Rebecca Aggarwal, Ming Kim Lim:
Enhancing competitive advantage with radio-frequency identification (RFID) enabled returnable transport equipment (RTE). Int. J. Inf. Technol. Manag. 12(1/2): 3-26 (2013) - [j7]Johanna Virkki, Toni Björninen, Juha Virtanen, Leena Ukkonen, Lauri Sydänheimo, Ming Kim Lim:
Embedding passive RFID tags into wooden doors for identification and tracking. Int. J. Radio Freq. Identif. Technol. Appl. 4(2): 181-196 (2013) - [j6]Shui Hua Han, M. Y. Dong, Shui Xiu Lu, Stephen C. H. Leung, Ming Kim Lim:
Production planning for hybrid remanufacturing and manufacturing system with component recovery. J. Oper. Res. Soc. 64(10): 1447-1460 (2013) - [c6]Vikas Kumar, Archana Kumari, Jose Arturo Garza-Reyes, Ming Kim Lim:
Dependability a Key Element for Achieving Competitive Advantage: A Study of Information Service Firms. APMS (1) 2013: 493-500 - [c5]Rahul Ulhas Pai, Sujit Banerji, Jose Arturo Garza-Reyes, Ming Kim Lim, Vikas Kumar:
Selection and Ranking of Low Cost Countries for Outsourcing and Offshoring in the Manufacturing Sector. APMS (1) 2013: 501-512 - 2012
- [j5]Ming Kim Lim, David Z. Zhang:
A multi-agent system using iterative bidding mechanism to enhance manufacturing agility. Expert Syst. Appl. 39(9): 8259-8273 (2012) - [c4]Ming Kim Lim, Hing Kai Chan:
Optimize Resource Utilization at Multi-site Facilities with Agent Technology. APMS (2) 2012: 503-510 - [c3]Rebecca Aggarwal, Ming Kim Lim:
Improving Returnable Transport Equipment Management with an Autonomous Approach. LDIC 2012: 441-452 - [c2]Ming Kim Lim, Michael Winsper:
Maximising the efficiency of logistics operations with radio frequency identification technology. RFID-TA 2012: 275-280 - 2011
- [c1]Rebecca Aggarwal, Ming Kim Lim:
Increasing competitiveness of third party logistics with RFID. RFID-TA 2011: 437-444
2000 – 2009
- 2009
- [j4]Ming Kim Lim, David Z. Zhang, W. T. Goh:
An iterative agent bidding mechanism for responsive manufacturing. Eng. Appl. Artif. Intell. 22(7): 1068-1079 (2009) - 2007
- [j3]David Zhengwen Zhang, Anthony Ikechukwu Anosike, Ming Kim Lim:
Dynamically Integrated Manufacturing Systems (DIMS) - A Multiagent Approach. IEEE Trans. Syst. Man Cybern. Part A 37(5): 824-850 (2007) - 2006
- [j2]David Zhengwen Zhang, Anthony Ikechukwu Anosike, Ming Kim Lim, Oluwaremilekun Mowanuola Akanle:
An agent-based approach for e-manufacturing and supply chain integration. Comput. Ind. Eng. 51(2): 343-360 (2006) - 2004
- [j1]Ming Kim Lim, David Zhengwen Zhang:
An integrated agent-based approach for responsive control of manufacturing resources. Comput. Ind. Eng. 46(2): 221-232 (2004)
Coauthor Index
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last updated on 2024-05-02 23:45 CEST by the dblp team
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