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ORCIDPing Ji 0001
Person information
- affiliation: Hong Kong Polytechnic University, Department of Industrial and Systems Engineering, Hong Kong
Other persons with the same name
- Ping Ji — disambiguation page
- Ping Ji 0002 — City University of New York, John Jay College of Criminal Justice, NY, USA
- Ping Ji 0003 — Heilongjiang University, Harbin, China
- Ping Ji 0004 — University of Shanghai for Science and Technology, China
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2020 – today
- 2023
[j79]Baozhuang Niu
, Lei Chen, Zongbao Zou, Ping Ji:
Demand signal transmission in a certified refurbishing supply chain: rules and incentive analysis. Ann. Oper. Res. 329(1): 1-46 (2023)- [j78]Leran Chen, Ping Ji, Yongsheng Ma, Yiming Rong, Jingzheng Ren:
Custom machine learning algorithm for large-scale disease screening - taking heart disease data as an example. Artif. Intell. Medicine 146: 102688 (2023) - [j77]Xinsheng Xu, Ping Ji, Felix T. S. Chan:
Retailers' optimal ordering policies for a dual-sourcing procurement. Ind. Manag. Data Syst. 123(3): 1052-1072 (2023) - [j76]Xinsheng Xu, Ping Ji, Shuming Sang:
Supply option purchasing decisions via mismatch cost minimization. Math. Comput. Simul. 210: 260-280 (2023) - 2022
- [j75]Leran Chen, Ping Ji, Yongsheng Ma:
Machine Learning Model for Hepatitis C Diagnosis Customized to Each Patient. IEEE Access 10: 106655-106672 (2022) - [j74]Kejia Chen, Jian Jin, Zheng Zhao, Ping Ji:
Understanding customer regional differences from online opinions: a hierarchical Bayesian approach. Electron. Commer. Res. 22(2): 377-403 (2022) - [j73]Xinsheng Xu, Ping Ji, Felix T. S. Chan:
Loss-averse buyers' optimal procurement decision in a multi-sourcing under e-commerce surroundings. Ind. Manag. Data Syst. 122(8): 1787-1815 (2022) - [j72]Xinsheng Xu, Ping Ji, Felix T. S. Chan:
On maximizing a loss-averse buyer's expected utility in a multi-sourcing problem. Math. Comput. Simul. 202: 388-404 (2022) - 2021
- [j71]Kin Lok Keung, Carman K. M. Lee, Ping Ji:
Data-driven order correlation pattern and storage location assignment in robotic mobile fulfillment and process automation system. Adv. Eng. Informatics 50: 101369 (2021) - [j70]Ji-Bo Wang, Dan-Yang Lv, Jian Xu, Ping Ji, Fuqiang Li:
Bicriterion scheduling with truncated learning effects and convex controllable processing times. Int. Trans. Oper. Res. 28(3): 1573-1593 (2021) - [j69]Ji-Bo Wang, Bo Cui, Ping Ji, Weiwei Liu:
Research on single-machine scheduling with position-dependent weights and past-sequence-dependent delivery times. J. Comb. Optim. 41(2): 290-303 (2021) - [j68]Yuanyuan Liu, Yunwen Miao, Athanasios A. Pantelous, Jian Zhou, Ping Ji:
On Fuzzy Simulations for Expected Values of Functions of Fuzzy Numbers and Intervals. IEEE Trans. Fuzzy Syst. 29(6): 1446-1459 (2021) - [j67]Ying Cheng, Yifan Xie, Dongxu Wang, Fei Tao, Ping Ji:
Manufacturing Services Scheduling With Supply-Demand Dual Dynamic Uncertainties Toward Industrial Internet Platforms. IEEE Trans. Ind. Informatics 17(5): 2997-3010 (2021) - 2020
- [j66]Kin Lok Keung, Carman K. M. Lee, Ping Ji, Kam Hung Ng:
Cloud-Based Cyber-Physical Robotic Mobile Fulfillment Systems: A Case Study of Collision Avoidance. IEEE Access 8: 89318-89336 (2020) - [j65]Jian Jin, Baozhuang Niu, Ping Ji, Qian Geng:
An integer linear programming model of reviewer assignment with research interest considerations. Ann. Oper. Res. 291(1): 409-433 (2020) - [j64]Ying Cheng, Luning Bi, Fei Tao, Ping Ji:
Hypernetwork-based manufacturing service scheduling for distributed and collaborative manufacturing operations towards smart manufacturing. J. Intell. Manuf. 31(7): 1707-1720 (2020) - [j63]Ying Cheng, Yifan Xie, Dongming Zhao, Ping Ji, Fei Tao:
Scalable Hypernetwork-Based Manufacturing Services Supply Demand Matching Toward Industrial Internet Platforms. IEEE Trans. Syst. Man Cybern. Syst. 50(12): 5000-5014 (2020) - [c9]Kin Lok Keung, Carman Ka Man Lee, Ping Ji, Jiage Huo:
Cloud-based Cyber-Physical Robotic Mobile Fulfillment Systems Considering Order Correlation Pattern. IEEM 2020: 113-117
2010 – 2019
- 2019
- [j62]Jian Jin, Ping Ji, Sixing Yan:
Comparison of series products from customer online concerns for competitive intelligence. J. Ambient Intell. Humaniz. Comput. 10(3): 937-952 (2019) - [j61]Jian Jin, Ying Liu, Ping Ji, Che Kit Kwong:
Review on Recent Advances in Information Mining From Big Consumer Opinion Data for Product Design. J. Comput. Inf. Sci. Eng. 19(1) (2019) - [c8]Kin Lok Keung, Carman Ka Man Lee, Ping Ji:
Mobile Robots Charging Assignment Problem with Time Windows in Robotic Mobile Fulfilment System. IEEM 2019: 1329-1333 - 2018
- [j60]Jian Jin, Ping Ji:
Scheduling jobs with resource-dependent ready times and processing times depending on their starting times and positions. Comput. J. 61(9): 1323-1328 (2018) - [j59]Xin Ma, Ping Ji, William Ho, Cheng-Hu Yang:
Optimal procurement decision with a carbon tax for the manufacturing industry. Comput. Oper. Res. 89: 360-368 (2018) - [j58]Xin Ma, William Ho, Ping Ji, Srinivas Talluri:
Contract Design with Information Asymmetry in a Supply Chain under an Emissions Trading Mechanism. Decis. Sci. 49(1): 121-153 (2018) - [j57]Xin Ma, William Ho, Ping Ji, Srinivas Talluri:
Coordinated Pricing Analysis with the Carbon Tax Scheme in a Supply Chain. Decis. Sci. 49(5): 863-900 (2018) - [j56]Lin Li, Ping Yan, Ping Ji, Ji-Bo Wang:
Scheduling jobs with simultaneous considerations of controllable processing times and learning effect. Neural Comput. Appl. 29(11): 1155-1162 (2018) - 2017
- [j55]Yunwen Miao, Yuanyuan Liu, Yizeng Chen, Jian Zhou, Ping Ji:
Two uncertain chance-constrained programming models to setting target levels of design attributes in quality function deployment. Inf. Sci. 415: 156-170 (2017) - 2016
- [j54]Jian Jin, Ping Ji, C. K. Kwong:
What makes consumers unsatisfied with your products: Review analysis at a fine-grained level. Eng. Appl. Artif. Intell. 47: 38-48 (2016) - [j53]Jian Jin, Ping Ji, Rui Gu:
Identifying comparative customer requirements from product online reviews for competitor analysis. Eng. Appl. Artif. Intell. 49: 61-73 (2016) - [j52]Hongguang Liu, Ping Ji, Jian Jin:
Intra-Day Trading System Design Based on the Integrated Model of Wavelet De-Noise and Genetic Programming. Entropy 18(12): 435 (2016) - [j51]Yuan-Yuan Lu, Jian Jin, Ping Ji, Ji-Bo Wang:
Resource-dependent scheduling with deteriorating jobs and learning effects on unrelated parallel machine. Neural Comput. Appl. 27(7): 1993-2000 (2016) - 2015
- [j50]Meiling Luo, Gang Li, C. L. Johnny Wan, Rong Qu, Ping Ji:
Supply chain coordination with dual procurement sources via real-option contract. Comput. Ind. Eng. 80: 274-283 (2015) - [j49]Jian Jin, Ping Ji, Ying Liu:
Translating online customer opinions into engineering characteristics in QFD: A probabilistic language analysis approach. Eng. Appl. Artif. Intell. 41: 115-127 (2015) - [j48]Limin Wang, Jian Jin, Ji-Bo Wang, Ping Ji:
Research on scheduling problems with general effects of deterioration and learning. Inf. Sci. 307: 89-94 (2015) - [j47]Gang Li, Feng Feng Huang, T. C. Edwin Cheng, Ping Ji:
Competition Between Manufacturer's Online Customization Channel and Conventional Retailer. IEEE Trans. Engineering Management 62(2): 150-157 (2015) - [c7]Ping Ji, Jian Jin:
Extraction of comparative opinionate sentences from product online reviews. FSKD 2015: 1777-1785 - 2014
- [j46]Yu-Bin Wu, Xue Huang, Lin Li, Ping Ji:
A note on "Scheduling Problems with the effects of deterioration and Learning". Asia Pac. J. Oper. Res. 31(3) (2014) - [j45]Siu Hung Joshua Chan, Christian Solem, Peter Ruhdal Jensen, Ping Ji:
Estimating biological elementary flux modes that decompose a flux distribution by the minimal branching property. Bioinform. 30(22): 3232-3239 (2014) - [j44]Xiao-Yuan Wang, Zhili Zhou, Ping Ji, Ji-Bo Wang:
Parallel machines scheduling with simple linear job deterioration and non-simultaneous machine available times. Comput. Ind. Eng. 74: 88-91 (2014) - [j43]Gang Li, Feng Feng Huang, T. C. E. Cheng, Quan Zheng, Ping Ji:
Make-or-buy service capacity decision in a supply chain providing after-sales service. Eur. J. Oper. Res. 239(2): 377-388 (2014) - [j42]Ridvan Aydin, C. K. Kwong, Ping Ji, H. M. C. Law:
Market demand estimation for new product development by using fuzzy modeling and discrete choice analysis. Neurocomputing 142: 136-146 (2014) - [j41]Na Yin, Liying Kang, Ping Ji, Ji-Bo Wang:
Single machine scheduling with sum-of-logarithm-processing-times based deterioration. Inf. Sci. 274: 303-309 (2014) - [j40]Bo Chen, Ping Ji:
An Exploration of the Triplet Periodicity in Nucleotide Sequences with a Mature Self-Adaptive Spectral Rotation Approach. J. Appl. Math. 2014: 176943:1-176943:9 (2014) - [j39]Yunzhang Huo, Ping Ji:
Continuous-Time Markov Chain-Based Flux Analysis in Metabolism. J. Comput. Biol. 21(9): 691-698 (2014) - [j38]Yuan-Yuan Lu, Gang Li, Yu-Bin Wu, Ping Ji:
Optimal due-date assignment problem with learning effect and resource-dependent processing times. Optim. Lett. 8(1): 113-127 (2014) - [j37]Li-Yan Wang, Xue Huang, Ping Ji, En-Min Feng:
Unrelated parallel-machine scheduling with deteriorating maintenance activities to minimize the total completion time. Optim. Lett. 8(1): 129-134 (2014) - [j36]Xue Huang, Ming-Zheng Wang, Ping Ji:
Parallel machines scheduling with deteriorating and learning effects. Optim. Lett. 8(2): 493-500 (2014) - [j35]Dan Wang, Yunzhang Huo, Ping Ji:
Single-machine group scheduling with deteriorating jobs and allotted resource. Optim. Lett. 8(2): 591-605 (2014) - [j34]Xue-Ru Wang, Ji-Bo Wang, Jian Jin, Ping Ji:
Single machine scheduling with truncated job-dependent learning effect. Optim. Lett. 8(2): 669-677 (2014) - [j33]Ping Ji, Gang Li, Yunzhang Huo, Ji-Bo Wang:
Single-machine common flow allowance scheduling with job-dependent aging effects and a deteriorating maintenance activity. Optim. Lett. 8(4): 1389-1400 (2014) - [c6]Ridvan Aydin, C. K. Kwong, Ping Ji:
Simultaneous consideration of remanufactured and new products in optimal product line design. IEEM 2014: 1-5 - 2013
- [j32]Ying Liu, Jian Jin, Ping Ji, Jenny A. Harding, Richard Y. K. Fung:
Identifying helpful online reviews: A product designer's perspective. Comput. Aided Des. 45(2): 180-194 (2013) - [j31]Xiao-Yuan Wang, Zhili Zhou, Xi Zhang, Ping Ji, Ji-Bo Wang:
Several flow shop scheduling problems with truncated position-based learning effect. Comput. Oper. Res. 40(12): 2906-2929 (2013) - [j30]Xue Huang, Gang Li, Yunzhang Huo, Ping Ji:
Single machine scheduling with general time-dependent deterioration, position-dependent learning and past-sequence-dependent setup times. Optim. Lett. 7(8): 1793-1804 (2013) - [c5]Ping Ji, Hongtao Wu:
Analytical Forward Kinematics to the 3 DOF Congruent Spherical Parallel Robot Manipulator. ICINCO (2) 2013: 111-115 - 2012
- [j29]Ji-Bo Wang, Ming-Zheng Wang, Ping Ji:
Scheduling Jobs with Processing times Dependent on Position, Starting Time, and Allotted Resource. Asia Pac. J. Oper. Res. 29(5) (2012) - [j28]Ji-Bo Wang, Ming-Zheng Wang, Ping Ji:
Single machine total completion time minimization scheduling with a time-dependent learning effect and deteriorating jobs. Int. J. Syst. Sci. 43(5): 861-868 (2012) - [j27]Ji-Bo Wang, Yu-Bin Wu, Ping Ji:
A revision of some single-machine and m-machine flowshop scheduling problems with learning considerations. Inf. Sci. 190: 227-232 (2012) - [j26]Ji-Bo Wang, Ping Ji, T. C. E. Cheng, Dan Wang:
Minimizing makespan in a two-machine flow shop with effects of deterioration and learning. Optim. Lett. 6(7): 1393-1409 (2012) - [c4]Jian Jin, Ping Ji, Ying Liu:
Product characteristic weighting for designer from online reviews: an ordinal classification approach. EDBT/ICDT Workshops 2012: 33-40 - 2011
- [j25]Siu Hung Joshua Chan, Ping Ji:
Decomposing flux distributions into elementary flux modes in genome-scale metabolic networks. Bioinform. 27(16): 2256-2262 (2011) - [j24]Ji-Bo Wang, Jian-Ji Wang, Ping Ji:
Scheduling jobs with chain precedence constraints and deteriorating jobs. J. Oper. Res. Soc. 62(9): 1765-1770 (2011) - [j23]Bo Chen, Ping Ji:
Visualization of the protein-coding regions with a self adaptive spectral rotation approach. Nucleic Acids Res. 39(1): 3 (2011) - [c3]Bo Chen, Ping Ji:
Predicting coding region candidates in the DNA sequence based on visualization without training. CIBCB 2011: 1-6
2000 – 2009
- 2009
- [j22]Gang Li, Ping Ji, Linyan Sun, Wing Bun Lee:
Modeling and simulation of supply network evolution based on complex adaptive system and fitness landscape. Comput. Ind. Eng. 56(3): 839-853 (2009) - [j21]William Ho, Ping Ji:
An integrated scheduling problem of PCB components on sequential pick-and-place machines: Mathematical models and heuristic solutions. Expert Syst. Appl. 36(3): 7002-7010 (2009) - 2008
- [j20]William Ho, George T. S. Ho, Ping Ji, Henry C. W. Lau:
A hybrid genetic algorithm for the multi-depot vehicle routing problem. Eng. Appl. Artif. Intell. 21(4): 548-557 (2008) - 2007
- [j19]Kejia Chen, Ping Ji:
A mixed integer programming model for advanced planning and scheduling (APS). Eur. J. Oper. Res. 181(1): 515-522 (2007) - [j18]K. J. Chen, Ping Ji:
A genetic algorithm for dynamic advanced planning and scheduling (DAPS) with a frozen interval. Expert Syst. Appl. 33(4): 1004-1010 (2007) - [j17]Ping Ji, Francis K. H. Lau, Lili Jiang, Min Li, Zhongbin Li:
Computer-aided generation of fixture configuration design using polychromatic sets. Int. J. Comput. Appl. Technol. 28(4): 289-294 (2007) - 2006
- [c2]Gang Li, Yongqiang Li, Linyan Sun, Ping Ji:
Multi-agent Coordination Schemas in Decentralized Production Systems. CIS 2006: 347-356 - 2005
- [j16]William Ho, Ping Ji:
A hybrid genetic algorithm for sequencing PCB component placement. Int. J. Knowl. Based Intell. Eng. Syst. 9(2): 129-136 (2005) - [c1]Gang Li, Linyan Sun, Ping Ji, Haiquan Li:
Self-organization Evolution of Supply Networks: System Modeling and Simulation Based on Multi-agent. CIS (1) 2005: 405-409 - 2004
- [j15]William Ho, Ping Ji:
A hybrid genetic algorithm for component sequencing and feeder arrangement. J. Intell. Manuf. 15(3): 307-315 (2004) - 2003
- [j14]William Ho, Ping Ji:
Component scheduling for chip shooter machines: a hybrid genetic algorithm approach. Comput. Oper. Res. 30(14): 2175-2189 (2003) - [j13]R. Jiang, Ping Ji, Wing Bun Lee:
Comments on: a new aggregation method in a fuzzy environment. Decis. Support Syst. 35(3): 435-439 (2003) - [j12]Ping Ji, R. Jiang:
Scale transitivity in the AHP. J. Oper. Res. Soc. 54(8): 896-905 (2003) - [j11]Ping Ji, Hongtao Wu:
Kinematics analysis of an offset 3-UPU translational parallel robotic manipulator. Robotics Auton. Syst. 42(2): 117-123 (2003) - [j10]R. Jiang, Ping Ji, X. Xiao:
Aging property of unimodal failure rate models. Reliab. Eng. Syst. Saf. 79(1): 113-116 (2003) - 2002
- [j9]R. Jiang, Ping Ji:
Age replacement policy: a multi-attribute value model. Reliab. Eng. Syst. Saf. 76(3): 311-318 (2002) - [j8]Ping Ji, Hongtao Wu:
An efficient approach to the forward kinematics of a planar parallel manipulator with similar platforms. IEEE Trans. Robotics Autom. 18(4): 647-649 (2002) - 2001
- [j7]Ping Ji, M. T. Sze, Wing Bun Lee:
A genetic algorithm of determining cycle time for printed circuit board assembly lines. Eur. J. Oper. Res. 128(1): 175-184 (2001) - [j6]Ping Ji, Hongtao Wu:
Algebraic solution to forward kinematics of a 3-DOF spherical parallel manipulator. J. Field Robotics 18(5): 251-257 (2001) - [j5]Renyan Jiang, D. N. P. Murthy, Ping Ji:
Models involving two inverse Weibull distributions. Reliab. Eng. Syst. Saf. 73(1): 73-81 (2001) - [j4]Renyan Jiang, D. N. P. Murthy, Ping Ji:
n-fold Weibull multiplicative model. Reliab. Eng. Syst. Saf. 74(2): 211-219 (2001) - [j3]Ping Ji, Hongtao Wu:
A closed-form forward kinematics solution for the 6-6p Stewart platform. IEEE Trans. Robotics Autom. 17(4): 522-526 (2001) - 2000
- [j2]Ping Ji, Hongtao Wu:
A fast solution to identify placement parameters for modular platform manipulators. J. Field Robotics 17(5): 251-253 (2000)
1990 – 1999
- 1997
- [j1]Ping Ji, Wing Bun Lee, Hongyu Li:
A new algorithm for the assignment problem: An alternative to the Hungarian method. Comput. Oper. Res. 24(11): 1017-1023 (1997)
Coauthor Index
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