• Associate professor
• Supervisor of Doctorate Candidates
• Supervisor of Master's Candidates
• Name (Simplified Chinese):彭张林
• Name (Pinyin):pengzhanglin
• School/Department:工商管理系
• Education Level:With Certificate of Graduation for Doctorate Study
• Business Address:合肥工业大学屯溪路校区，工程管理与智能制造研究中心1223
• Gender:Male
• Degree:Doctoral degree
• Status:Employed
• Alma Mater:合肥工业大学
• Discipline:Enterprise Management
  Other specialties in Management Science and Engineering
  

• ZipCode:23ea49f7ae69ee1a055fdd07803771e825ffcf3fddeb22b2078c89992b812c12898d531b95c5bee0497a75eaf27ab4e752e089bdc1ce39996c360c96c607ae6f2ac5af5f151a998a8febbb9a771558837a8b4a98342207771e2b6019517f3021628f45b2c3767ccf10f652a225a1b700b15de192a1f79659fbc81859ff5608ce
• PostalAddress:4ab46be9b83a271956a93a3fd8c761ede3607723f96a92f9bba33f78aa8483422af9fec8772e1026e2fd54b852e9b6c3dbf477af69878af8753b15fcf4356da0fb0245a4371d6547c5b9675bd190435542097c616581f64329e24b7a524ed8f0c1f17e36834e3eb8739eb1b4cd9236ffb9dd0a89a47ddf6182ac7e099969a3b4

合肥工业大学管理学院工商管理系教师，副教授，博士生导师，管理科学与工程学会理事、中国人工智能学会会员、中国系统工程学会会员、安徽省行为科学学会会员。主要从事信息资源管理、复杂系统决策、复杂产品创新管理、社会网络集群行为分析及人力资源管理等方面的科研与教学工作，主持国家自然科学基金面上基金和青年基金、教育部人文社会科学基金、安徽省自然科学基金、国轩高科等委托联合开发项目，参与国家自然科学基金重大项目、中国工程院咨询项目，以及中国航发集团、奇瑞汽车等企业委托项目多项。在Optimization Letters、International Journal of Production Research、管理世界、管理科学学报、系统工程理论与实践等期刊发表论文30余篇，授权国家发明专利和美国发明专利共12项，获安徽省科技进步一等奖1项、中国机械制造工艺协会科技进步奖一等奖1项、中国机械工业科技进步二等奖1项，获国家教学成果二等奖1项、安徽省教学成果特等奖1项、安徽省教学成果一等奖1项。

科研项目

[1]  面向社会化价值创造的大规模群体协作组织与集成决策方法研究，国家自然科学基金面上项目，2021.01-2024.12

[2]  社会化网络环境下用户参与产品设计的创新绩效评价与激励策略研究，国家自然科学基金青年项目（后评估：优秀），2017.01-2019.12

[3]  众包模式下用户参与复杂产品设计的激励策略研究，教育部人文社会科学研究青年基金项目（已结题），2016.07-2021.10

[4]  面向产品设计的众包服务效率评估与用户激励策略研究，安徽省自然科学基金青年项目（后评估：A（2.15%）），2017.07-2019.06

[5]  群体智能场景下大规模用户协作建模研究，合肥工业大学学术新人提升计划项目（已结题），2020.04-2021.12

[6]  基于全产业链的数字供应链建设及平台开发，合肥国轩高科动力能源有限公司，2022.09-2024.02

[7]  基于工业互联网的电芯产线设备监测与运维管理平台，合肥国轩高科动力能源有限公司，2023.08-2024.07

论文发表

第一作者|通讯作者论文

[1] Peng Zhanglin, Wan Dequan, Wang Anning, Lu Xiaonong, Pardalos Panos. Deep learning-based recommendation method for Top-K tasks in software crowdsourcing systems, Journal of Industrial and Management Optimization, 2023, 19(9):6478-6498

[2] Zhang Xu, Peng Zhanglin*, Zhang Qiang, Tang Xiaoan, Pardalos Panos. Identifying and determining crowdsourcing service strategies: an empirical study on a crowdsourcing platform in China, Journal of Industrial and Management Optimization, 2022, 18(3): 1809-1833.

[3] Zhang Xu, Peng Zhanglin*, Zhang Qiang, Lu Xiaonong, Song Hao. User Participation Behavior in Crowdsourcing Initiatives: Influencing Factors, Related Theories and Incentive Strategies, International Journal of Ad Hoc and Ubiquitous Computing, 2021, 38(1-3): 30-44.

[4] Zhang Qiang, Peng Zhanglin*, Lu Xiaonong, Su Han, Lu Wenxing. An adaptive agent-based process model for optimizing innovative design. Optimization Letters, 2021,15(2): 591-612.

[5] Lu Xiaonong, Peng Zhanglin*, Zhang Qiang, Yang Shanlin. Event-based optimization approach for solving stochastic decision problems with probabilistic constraint, Optimization Letters, 2021,15(2): 569-590.

[6] Tang Xiaoan, Zhang Qiang, Peng Zhanglin*,Pedrycz Witold, Yang Shanlin. Distribution linguistic preference relations with incomplete symbolic proportions for group decision making, Applied Soft Computing, 2020,88: 106005.

[7] Peng Zhanglin, Fu Chao, Zhu Keyu, Zhang Qiang, Ni Dawei, Yang Shanlin. An improved LP model for energy optimization of the integrated iron and steel plant with a cogeneration system in China, Journal of Systems Science and Systems Engineering, 2016,25(4):515-534.

[8] 彭张林, 杜一甫, 程啸先, 唐孝安, 张强. 一种面向设计众包的产品概念方案评价与选择方法, 计算机集成制造系统, 2023, 29(10): 3450-3461.

[9] 陈丹红, 彭张林*, 万德全, 杨善林. 众包平台用户价值识别与细分：基于改进的RFM模型, 计算机科学, 2022,49(4):37-42.

[10] 彭张林, 张强, 王素凤, 杨善林. 基于评价结论的二次组合评价方法研究. 中国管理科学, 2016,24(9):156-164.

[11] 彭张林, 张强, 李珠瑞, 杨善林. 改进的离差最大化决策模型及其在临近空间多任务规划中的应用, 系统工程理论与实践, 2014,34(2):421-427.

[12] 彭张林, 濮剑鹏, 张登洲, 胡笑旋, 张强, 詹明明. 基于证据推理的效能评估及其在临近空间多任务规划中的应用, 管理工程学报, 2013,27(1):99-107.

非第一作者|通讯作者论文

[1] Zhao Shuangyao, Zhang Qiang, Peng Zhanglin, Lu Xiaonong. Personalized manufacturing service composition recommendation: combining combinatorial optimization and collaborative filtering, Journal of Combinatorial Optimization, 2020, 40(3): 733-756.

[2] Lu Xiaonong, Zhang Qiang, Peng Zhanglin, Shao Zhen, Song Hao, Wang Wanying. Charging and relocating optimization for electric vehicle car-sharing: An event-based strategy improvement approach, Energy, 2020, 207:118285.

[3] Tang Xiaoan, Peng Zhanglin, Zhang Qiang, Pedrycz Witold, Yang Shanlin. Consistency and Consensus-Driven Models to Personalize Individual Semantics of Linguistic Terms for Supporting Group Decision Making With Distribution Linguistic Preference Relations, Knowledge-Based Systems, 2020, 189:105078.

[4] Wang  Anning, Zhang Qiang, Zhao Shuangyao, Lu Xiaonong, Peng Zhanglin. A review-driven customer preference measurement model for product improvement: sentiment-based importance–performance analysis, Information Systems and e-Business Management, 2020.

[5] Wang Wanying, Zhang Qiang, Peng Zhanglin, Shao Zhen, Li Xuefang. An empirical evaluation of different usage pattern between car-sharing battery electric vehicles and private ones. Transportation Research Part A: Policy and Practice, 2020, 135: 115-129.

[6] Zhao Shuangyao, Zhang Qiang, Peng Zhanglin, Fan Yu. Integrating customer requirements into customized product configuration design based on Kano’s model, Journal of Intelligent Manufacturing, 2020,31(3): 597-613.

[7] Tang Xiaoan, Zhang Qiang, Peng Zhanglin, Yang Shanlin, Pedrycz Witold. Derivation of personalized numerical scales from distribution linguistic preference relations: an expected consistency-based goal programming approach. Neural Computing and Applications, 2019,31(12):8769-8786.

[8] Feng Nanping, Fu Chao, Wei Fenfen, Peng Zhanglin, Zhang Qiang, Zhang Kevin. The key role of dynamic capabilities in the evolutionary process for a startup to develop into an innovation ecosystem leader: An indepth case study. Journal of Engineering and Technology Management, 2019,54:81-96.

[9] Zhang Qiang, Lu Xiaonong, Peng Zhanglin, Ren Minglun. Perspective: A review of lifecycle management research on complex products in smart-connected environments, International Journal of Production Research, 2019, 57(21): 6758-6779.

[10] Li Xuefang, Zhang Qiang, Peng Zhanglin, Wang Anning, Wang Wanying. A data-driven two-level clustering model for driving pattern analysis of electric vehicles and a case study, Journal of Cleaner Production, 2019,206:827–837.

[11] Tang Xiaoan, Peng Zhanglin, Ding Haining, Cheng Manli, Yang Shanlin. Novel distance and similarity measures for hesitant fuzzy sets and their applications to multiple attribute decision making, Journal of Intelligent & Fuzzy Systems, 2018,34(6):3903–3916.

[12] Wang Sufeng, Qiu Shuang, Ge Shijian, Liu Jia, Peng Zhanglin. Benchmarking Toronto wastewater treatment plants using DEA window and Tobit regression analysis with a dynamic efficiency perspective. Environmental Science and Pollution Research, 2018,25(32):32649–32659.

[13] Zhang Qiang, Wu Desheng, Fu Chao, Claude Baron, Peng Zhanglin. A new method for measuring process flexibility of product design, International Transactions in Operational Research, 2017,24(4):821-838.

[14] Peng Zhanglin, Fu Chao, Zhu Keyu, Zhang Qiang, Ni Dawei, Yang Shanlin. An improved LP model for energy optimization of the integrated iron and steel plant with a cogeneration system in China, Journal of Systems Science and Systems Engineering, 2016,25(4):515-534.

[15] Wang Sufeng, Chu Chu, Chen Guozhong, Peng Zhanglin, Li Fangyi. Efficiency and reduction cost of carbon emissions in China: a non-radial directional distance function method. Journal of Cleaner Production, 2016,113:624-634.

[16] 裴军, 周娅, 彭张林, 杨善林. 高端装备智能制造创新运作：从平台型企业到平台型供应链, 管理世界, 2023, 39(01):226-239.

[17] 王安宁, 张强, 彭张林, 陆效农, 方钊. 融合特征情感和产品参数的客户感知偏好模型, 中国管理科学, 2020, 28(9): 199-208. 

[18] 王安宁, 张强, 彭张林, 倪鑫. 基于在线评论的区域需求偏好识别方法, 中国管理科学, 2019, 27(7): 167-176.

[19] 王洪波, 罗贺, 彭张林, 王素凤. 股指时间序列的低维分形表示及相似性研究, 系统工程学报, 2019,34(1): 46-56.

[20] 王素凤, 杨善林, 彭张林. 面向多重不确定性的发电商碳减排投资研究, 管理科学学报, 2016,19(2):31-41.

[21] 朱小龙, 丁帅, 朱卫东, 彭张林, 倪大伟. 基于ε-约束与区间数线性规划的钢铁供应链能源优化模型, 管理工程学报. 2016,30(2):243-250.

[22] 于志军, 杨善林, 王晓佳, 彭张林. 基于数据变换的GM(1,1)误差校正方法, 系统工程理论与实践, 2015,35(9):2339-2347.

[23] 李珠瑞, 马溪骏, 彭张林. 基于离差最大化的组合评价方法研究, 中国管理科学, 2013,21(1):174-179.