Search Results - person:"Xu, Lijun"

Government green procurement, technology mergers and acquisitions, and semiconductor firms' environmental innovation : the moderating effect of executive compensation incentives

Liao, Zhongju; Xu, Lijun; Zhang, Mengnan - In: International journal of production economics 273 (2024), pp. 1-8

Persistent link: https://www.econbiz.de/10015051433

Value of inventory pooling with limited demand information and risk aversion

Xue, Weili; Ma, Lijun; Liu, Yanchu; Lin, Meiyan - In: Decision sciences 53 (2022) 1, pp. 51-83

Persistent link: https://www.econbiz.de/10013164965

Many-objective flow shop scheduling optimisation with genetic algorithm based on fuzzy sets

Xu, Wen-Jie; He, Li-Jun; Zhu, Guang-Yu - In: International journal of production research 59 (2021) 3, pp. 702-726

Persistent link: https://www.econbiz.de/10012484607

Decoupled implementation? : incident reporting in Chinese shipping

Xue, Conghua; Tang, Lijun; Walters, David - In: Economic and industrial democracy 42 (2021) 1, pp. 179-197

Persistent link: https://www.econbiz.de/10012491605

Organisational support and safety management : a study of shipboard safety supervision

Xue, Conghua; Tang, Lijun - In: The economic and labour relations review : ELRR 30 (2019) 4, pp. 549-565

Persistent link: https://www.econbiz.de/10012258914

Who is dominant? : Occupational Health and Safety management in Chinese shipping

Xue, Conghua; Tang, Lijun; Walters, David - In: The journal of industrial relations : the journal of … 59 (2017) 1, pp. 65-84

Persistent link: https://www.econbiz.de/10011703793

Optimal inventory and hedging decisions with CVaR consideration

Xue, Weili; Ma, Lijun; Houcai Shen - In: International journal of production economics 162 (2015), pp. 70-82

Persistent link: https://www.econbiz.de/10010515848

Comparative study of computational intelligence approaches for NOx reduction of coal-fired boiler

Wei, Zhongbao; Li, Xiaolu; Xu, Lijun; Cheng, Yanting - In: Energy 55 (2013) C, pp. 683-692

This paper focuses on NOx emission prediction and operating parameters optimization for coal-fired boilers. Support Vector Regression (SVR) model based on CGA (Conventional Genetic Algorithm) was proposed to model the relationship between the operating parameters and the concentration of NOx...

Persistent link: https://www.econbiz.de/10010809569