Journal papers (published and accepted, updated: 5.2022)

2022: Heading link

  • M. Han, L. Li, and J. Zhao, 2022. “Volatile Organic Compound Emissions from 4D printing: Effects of Material Composition and External Stimulus”, Additive Manufacturing, p.102894.
  • X. Shi, L. Li, S. Yu, and L. Yun, 2022. “Process Monitoring in Ultrasonic Metal Welding of Lithium Batteries by Power Signals”, Journal of Manufacturing Science and Engineering, 144(5).
  • L. Yun, S. Ma, L. Li, and Y. Liu, 2022. “CPS-enabled and knowledge-aided demand response strategy for sustainable manufacturing”, Advanced Engineering Informatics, 52, p.101534.
  • L. Yun, L. Li, and S. Ma, 2022. “Demand response for manufacturing systems considering the implications of fast-charging battery powered material handling equipment”, Applied Energy, 310, p.118550.

2021: Heading link

  • M. Han, Y. Yang, and L. Li, 2021. “Techno-economic modeling of 4D printing with thermo-responsive materials towards desired shape memory performance”, IISE Transactions, pp.1-13.
  • X. Shi, S. Yu, L. Li, and J. Zhao, 2021. “Anvil state identification based on acceleration signals in ultrasonic metal welding of lithium batteries”, Journal of Manufacturing Processes, 70, pp.67-77.
  • J. Zhao, M. Han, and L. Li, 2021. “Modeling and characterization of shape memory properties and decays for 4D printed parts using stereolithography”, Materials & Design, 203, p.109617.
  • L. Li, Y. Ge, and M. Xiao, 2021. “Towards biofuel generation III+: A sustainable industrial symbiosis design of co-producing algal and cellulosic biofuels”, Journal of Cleaner Production, 306, p.127144.
  • Y. Ge, L. Li, and L. Yun, 2021. “Modeling and economic optimization of cellulosic biofuel supply chain considering multiple conversion pathways”, Applied Energy, 281, p.116059.

2020: Heading link

  • J. Zhao, Y. Yang, and L. Li, 2020. “Efficiency-aware process planning for mask image projection stereolithography: Leveraging dynamic time of exposure”, Additive Manufacturing, 36, p.101407.
  • A. Haghighi, and L. Li, 2020. “A hybrid physics-based and data-driven approach for characterizing porosity variation and filament bonding in extrusion-based additive manufacturing”, Additive Manufacturing, 36, p.101399.
  • S. Ma, Y. Zhang, J. Lv, Y. Ge, H. Yang, and L. Li, 2020. “Big data driven predictive production planning for energy-intensive manufacturing industries”, Energy, 211, p.118320.
  • J. Zhao, Y. Yang, and L. Li, 2020. “A comprehensive evaluation for different post-curing methods used in stereolithography additive manufacturing”, Journal of Manufacturing Processes, 56, pp.867-877.
  • M. Han, Y. Yang, and L. Li, 2020. “Energy consumption modeling of 4D printing thermal-responsive polymers with integrated compositional design for material”, Additive Manufacturing, 34, p.101223.
  • Y. Yang, M. He, and L. Li, 2020. “Power consumption estimation for mask image projection stereolithography additive manufacturing using machine learning based approach”, Journal of Cleaner Production, 251, p.119710.
  • X. Chu, Y. Ge, X. Zhou, L. Li, and D. Yang, 2020. “Modeling and Analysis of Electric Vehicle-Power Grid-Manufacturing Facility (EPM) Energy Sharing System under Time-of-Use Electricity Tariff”, Sustainability, 12(12), p.4836.

2019: Heading link

  • T. Simon, Y. Yang, W.J. Lee, J. Zhao, L. Li, and F. Zhao, 2019. “Reusable unit process life cycle inventory for manufacturing: stereolithography”, Production Engineering, 13(6), pp.675-684.
  • W. Cui, L. Li, and Z. Lu, 2019. “Energy‐efficient scheduling for sustainable manufacturing systems with renewable energy resources”, Naval Research Logistics (NRL), 66(2), pp.154-173.
  • L. Li, A. Haghighi, and Y. Yang, 2019. “Theoretical modelling and prediction of surface roughness for hybrid additive–subtractive manufacturing processes”, IISE Transactions, 51(2), pp.124-135.
  • Y. Yang, L. Li, and J. Zhao, 2019. “Mechanical property modeling of photosensitive liquid resin in stereolithography additive manufacturing: bridging degree of cure with tensile strength and hardness”, Materials & Design, 162, pp.418-428.

2018: Heading link

  • A. Haghighi, and L. Li, 2018. “Joint asymmetric tolerance design and manufacturing decision-making for additive manufacturing processes”, IEEE Transactions on Automation Science and Engineering, 16(3), pp.1259-1270.
  • Y. Yang, and L. Li, 2018. “Cost modeling and analysis for Mask Image Projection Stereolithography additive manufacturing: Simultaneous production with mixed geometries”, International Journal of Production Economics, 206, pp.146-158.
  • Y. Hou, L. Li, Y. Ge, K. Zhang, and Y. Li, 2018. “A new modeling method for both transient and steady-state analyses of inhomogeneous assembly systems”, Journal of manufacturing systems, 49, pp.46-60.
  • L. Li, F. Dababneh, and J. Zhao, 2018. “Cost-effective supply chain for electric vehicle battery remanufacturing”, Applied energy, 226, pp.277-286.
  • Y. Ge, and L. Li, 2018. “System-level energy consumption modeling and optimization for cellulosic biofuel production”, Applied energy, 226, pp.935-946.
  • W. Cui, and L. Li, 2018. “A game-theoretic approach to optimize the Time-of-Use pricing considering customer behaviors”, International Journal of Production Economics, 201, pp.75-88.
  • L. Li, A. Haghighi, and Y. Yang, 2018. “A novel 6-axis hybrid additive-subtractive manufacturing process: Design and case studies”, Journal of Manufacturing Processes, 33, pp.150-160.
  • F. Dababneh, and L. Li, 2018. “Integrated electricity and natural gas demand response for manufacturers in the smart grid”, IEEE Transactions on Smart Grid, 10(4), pp.4164-4174.
  • D. Djurdjanovic, L. Mears, F.A. Niaki, A.U. Haq, and L. Li, 2018. “State of the art review on process, system, and operations control in modern manufacturing”, Journal of Manufacturing Science and Engineering, 140(6).
  • F. Dababneh, R. Shah, L. Li, and C. Haefke, 2018, “Demand Response Driven Production and Maintenance Decision Making for Cost Effective Manufacturing”, Journal of Manufacturing Science and Engineering, doi:10.1115/1.4039197.
  • L. Li, 2018. “A systematic-theoretic analysis of data-driven throughput bottleneck detection of production systems”, Journal of manufacturing systems, 47, pp.43-52.
  • Z. Sun, F. Dababneh, and L. Li, 2018. “Joint energy, maintenance, and throughput modeling for sustainable manufacturing systems”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(6), pp.2101-2112.
  • A. Haghighi, and L. Li, 2018, “Study of the relationship between dimensional performance and manufacturing cost in Fused Deposition Modeling”, Rapid Prototyping Journal, doi:10.1108/RPJ-11-2016-0177.
  • L. Li, S. Yu, J. Tao, and L. Li, 2018. “A FBS-based energy modelling method for energy efficiency-oriented design”, Journal of cleaner production, 172, pp.1-13.
  • Y. Yang, and L. Li, 2018. “Total volatile organic compound emission evaluation and control for stereolithography additive manufacturing process”,  Journal of Cleaner Production, 170, pp.1268-1278.

2017: Heading link

  • Y. Yang and L. Li, 2017, “Total volatile organic compound emission evaluation and control for stereolithography additive manufacturing process”, Journal of Cleaner Production, Vol. 170, pp. 1268-1278.
  • L. Li, and Y. Ge, 2017, “System-level cost evaluation for economic viability of cellulosic biofuel manufacturing”, Applied Energy, Vol. 203, pp. 711-722.
  • Y. Yang, L. Li, Y. Pan and Z. Sun, 2017, “Energy Consumption Modeling of Stereolithography-Based Additive Manufacturing Toward Environmental Sustainability”, Journal of Industrial Ecology, DOI: 10.1111/jiec.12589
  • Y. Ge, L. Li and Y. Wang, 2017, “Modeling of Bernoulli production line with the rework loop for transient and steady-state analysis”, Journal of Manufacturing Systems, Vol. 44, pp. 22-41.

2016: Heading link

  • F. Dababneh, L. Li, and Z. Sun, 2016, “Peak power demand reduction for combined manufacturing and HVAC system considering heat transfer characteristics”, International Journal of Production Economics, Vol. 177, pp. 44-52.
  • Y. Wang, and L. Li, 2016, “Critical peak electricity pricing for sustainable manufacturing: Modeling and case studies”, Applied Energy, Vol. 175, pp. 40-53.
  • Z. Sun, L. Li, and F. Dababneh, 2016, “Plant-Level Electricity Demand Response for Combined Manufacturing System and HVAC System”, Journal of Cleaner Production, Vol. 135, pp. 1650-1657.
  • Y. Wang, and L. Li, 2016, “Li-Ion Battery Dynamics Model Parameter Estimation Using Datasheets and Particle Swarm Optimization”, International Journal of Energy Research, Vol. 40, pp. 1050-1061.
  • L. Li, Z. Sun, X. Yao and D. Wang, 2016, “Optimal Production Scheduling for Energy Efficiency Improvement in Biofuel Feedstock Preprocessing Considering Work-In-Process Particle Separation”, Energy, Vol. 96, pp. 474-481.

2015: Heading link

  • Z. Sun, L. Li, A. Bego and F. Dababneh, 2015, “Customer-side Electricity Load Management for Sustainable Manufacturing Systems Utilizing Combined Heat and Power Generation System”, International Journal of Production Economics, Vol. 165, pp. 112-119.
  • Y. Wang, and L. Li, 2015, “Time-of-use Electricity Pricing for Industrial Customers: A Survey of U.S. Utilities”, Applied Energy, Vol. 149, pp. 89-103.
  • Y. Wang, and L. Li, 2015, “A PSO Algorithm for Constrained Redundancy Allocation in Multi-State Systems with Bridge Topology”, Computers & Industrial Engineering, Vol. 28, pp. 13-22.

Before 2014: Heading link

  • K. Zhang, L. Li, Y. Duan, and Y. Li, 2014, “Experimental and Theoretical Stress Analysis for an Interface Stress Model of Single-L Adhesive Joints between CFRP and Aluminum Components”, International Journal of Adhesion and Adhesives, Vol. 50, pp. 37-44.
  • Y. Wang, and L. Li, 2014, “Uncertainty Importance Measure of Individual Components in Multi-State Systems”, IEEE Transactions on Reliability, Vol. 64, pp. 772-783.
  • Y. Wang, and L. Li, 2014, “A Novel Modeling Method for Both Steady-State and Transient Analyses of Serial Bernoulli Production Systems”, IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol. 45, pp. 97-108.
  • Z.Sun, L. Li,M. Fernandez,and J. Wang, 2014, “Inventory Control for Peak Electricity Demand Reduction of Manufacturing Systems Considering the Tradeoff between Production Loss and Energy Savings”, Journal of Cleaner Production, Vol. 82, pp. 84-93.
  • Z.Jiang, Y. Liu, L. Li,and W. Shao, 2014, “A Novel Prediction Model for Thin Plate Deflections Considering Milling Residual Stresses”, International Journal of Advanced Manufacturing Technology, Vol. 74, pp. 37-45.
  • Y.Wang, and L. Li, 2014, “Time-of-use based Electricity Cost of Manufacturing Systems: Modeling and Monotonicity Analysis”, International Journal of Production Economics,Vol. 156, pp. 246-259.
  • H. Shao, L. Li, L. Liu and S. Zhang, 2013, “Study on Machinability of a Stellite Alloy with Uncoated and Coated Carbide Tools in Turning”, SME Journal of Manufacturing Processes,Vol. 15, Issue 4, pp. 673-681.
  • Y. Wang, and L. Li, 2013, “Time-of-Use Based Electricity Demand Response for Sustainable Manufacturing Systems”, Energy, Vol. 63, pp. 233-244.
  • Z. Zhou, L. Li, and J. Lin, 2013, “Integrated Analytical Modeling for Production Systems Coupled with Material Handling Systems”, IEEE Transactions on Systems, Man and Cybernetics Systems, Vol. 44, No. 8, pp. 1067-1076.
  • Z. Sun, and L. Li, 2013, “Potential Capability Estimation for Real Time Electricity Demand Response of Sustainable Manufacturing Systems Using Markov Decision Process”, Journal of Cleaner Production, Vol. 65, pp. 184-193.
  • A. Bego, L. Li and Z. Sun, 2013, “Identification of Reservation Capacity in Critical Peak Pricing Electricity Demand Response Program for Sustainable Manufacturing Systems”, International Journal of Energy Research, Vol. 38, pp. 728-736.
  • M. Fernandez, L. Li, and Z. Sun, 2013, ““Just-For-Peak” Buffer Inventory For Peak Electricity Demand Reduction of Manufacturing Systems”, International Journal of Production Economics, 146, pp. 178-184.
  • S. Lee, L. Li and J. Ni, 2013, “Markov-Based Maintenance Planning Considering Repair Time and Periodic Inspection”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 135, No.3, pp. 031013: 1-12.
  • L. Li, and Z. Sun, 2012, “State-based Dynamic Energy Control for Energy Efficiency Improvement of Sustainable Manufacturing Systems Using Markov Decision Process”, IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol. 43, No. 5, pp. 1195-1205.
  • Q. Chang, G. Xiao, S. Biller and L. Li, 2012, “Energy Saving Opportunity Analysis of Automotive Serial Production System”, IEEE Transactions on Automation Science and Engineering, Vol. 10, No. 2, pp. 334-342.
  • Z. Sun, and L. Li, 2013, “Opportunity Estimation for Real Time Energy Control of Sustainable Manufacturing Systems”, IEEE Transactions on Automation Science and Engineering, Special issue on Automation in Green Manufacturing, Vol. 10, No. 1, pp. 38-44.
  • Z. Jiang, L. Li, Zhi Li, and Zhaoqian Li, 2012, “Order-oriented Cooperative Sequencing Optimization in Multi-Mix-Model Assembly lines”, International Journal of Production Research, Vol. 50, No. 24, pp. 7198-7209.
  • Y. Wang, and L. Li, 2012, “Effects of Uncertainty in Both Component Reliability and Load Demand on Multi-state System Reliability”, IEEE Transactions on Systems, Man and Cybernetics –Part A, Vol. 42, No. 4, pp. 958-969.
  • Y. Wang, and L. Li, and S. Huang, 2012, “Derivation of Reliability and Variance for Multi-State Systems with Binary-Capacitated Components”, IEEE Transactions on Reliability, Vol. 61, No. 2, pp. 549-559.
  • Y. Wang, L. Li, S. Huang and Q. Chang, 2012, “Reliability and Covariance Estimation of Weighted k-out-of-n Multi-state Systems”, European Journal of Operational Research, 221, pp. 138-147.
  • Y. Wang, and L. Li, 2012, “Heterogeneous Redundancy Allocation for Series-Parallel Multi-State Systems using Hybrid Particle Swarm Optimization and Local Search”, IEEE Transactions on Systems, Man and Cybernetics –Part A, Vol. 42, No. 2, pp. 464-474.
  • J. Sun, L. Li, and L. Xi, 2012, “Modified Two-stage Degradation Model For Dynamic Maintenance Threshold Calculation Considering Uncertainty”, IEEE Transactions on Automation Science and Engineering, Vol. 9, No. 1, pp. 209-212.
  • H. Shao, X. Shi, and L. Li, 2011, “Power Signal Separation in Milling Process Based on Wavelet Transform and Independent Component Analysis”, International Journal of Machine Tools and Manufacture, 51, pp. 701-710.
  • L. Li, Q. Chang, G. Xiao and S. Ambani, 2011, “Throughput Bottleneck Prediction of the Manufacturing Systems Using Autoregressive Moving Average Model”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 133, pp. 021015: 1-8.
  • Z. Jiang, S. Xuanyuan, L. Li, and Z. Li, 2011, “Inventory-Shortage Driven Optimization for Product Configuration Variation”, International Journal of Production Research, Vol. 49, No. 4, pp. 1045-1060.
  • M. You, L. Li, G. Meng and J. Ni, 2010, “Two-zone Proportional Hazard Model for Equipment Remaining Useful Life Prediction”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 132, pp. 041008: 1-6.
  • L. Li, and Y. A. Bozer, 2010, “Retrieval Strategies for Multi-tier Automated Carousel Conveyors with Multiple Robots”, Simulation, Vol. 86, No. 7, pp. 395-404.
  • S. Lee, L. Li, and J. Ni, 2010, “Online Degradation Assessment and Adaptive Fault Detection Using Modified Hidden Markov Model”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 132, pp. 021010: 1-11.
  • M. You, L. Li, G. Meng and J. Ni, 2010, “Cost-Effective Updated Sequential Predictive Maintenance Policy for Continuously Monitored Degrading Systems”, IEEE Transactions on Automation Science and Engineering, Vol. 7, No. 2, pp. 257-265.
  • Y. Wang, L. Li, J. Ni and S. Huang, 2009, “Form Tolerance Evaluation of Toroidal Surfaces Using Particle Swarm Optimization”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 131, pp. 051015: 1-9.
  • L. Li and J. Ni, 2009, “Short-term Decision Support System for Maintenance Task Prioritization”, International Journal of Production Economics, Vol. 121, pp. 195-202.
  • A. Brzezinski, L. Li, X. Qiao, and J. Ni, 2009, “A New Method for Grinder Dressing Fault Mitigation Using Real Time Peak Detection”, International Journal of Advanced Manufacturing Technology, Vol. 45, pp. 470-480.
  • Y. Wang, L. Li, J. Ni and S. Huang, 2009, “Feature Selection using Tabu Search with Long Memories and Probabilistic Neural Networks”, Pattern Recognition Letters, Vol. 30, Issue 7, pp. 661-670.
  • L. Li, S. Ambani, and J. Ni, 2009, “Plant-level Maintenance Decision Support System for Throughput Improvement”, International Journal of Production Research, 47:24, 7047-7061.
  • X. Jin, L. Li and J. Ni, 2009, “Option Model for Joint Production and Preventive Maintenance System”, International Journal of Production Economics, Vol.119, pp.347-353.
  • L. Li, 2009, “Bottleneck Detection of Complex Manufacturing Systems using Data Driven Method”, International Journal of Production Research, 47:24, 6929-6940.
  • S. Ambani, L. Li and J. Ni, 2009, “Condition-based Maintenance Decision Making for Multiple Machine Systems”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 131, pp. 031009:1-9.
  • L. Li, Q. Chang, J. Ni and S. Biller, 2009, “Real Time Production Improvement Through Bottleneck Control”, International Journal of Production Research, 47:21, 6145-6158.
  • L. Li, M. You and J. Ni, 2009, “Reliability-based Dynamic Maintenance Threshold for Failure Prevention of Continuously Monitored Degrading Systems”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 131, pp. 031010:1-9.
  • L. Li, Q. Chang, and J. Ni, 2009, “Data Driven Bottleneck Detection of Manufacturing Systems”, International Journal of Production Research, 47:18, 5019-5036.
  • L. Li, and J. Ni, 2008, “Reliability Estimation Based On Operational Data of Manufacturing Systems”, Quality and Reliability Engineering International, 24, 843-854.