作者： Wu, Daqing*;Huo, Jiazhen;Zhang, Gefu;Zhang, Weihua

期刊： Sustainability (Switzerland),2018年10(10) ISSN：2071-1050

通讯作者： Wu, Daqing

作者机构： [Zhang, Weihua; Wu, Daqing] Shanghai Ocean Univ, Coll Econ & Management, Shanghai 201306, Peoples R China.;[Wu, Daqing] Univ South China, Comp Sci & Technol Inst, Hengyang 421001, Peoples R China.;[Huo, Jiazhen; Wu, Daqing] Tongji Univ, Sch Econ & Management, Shanghai 20092, Peoples R China.;[Zhang, Gefu] Univ South China, Coll Econ & Management, Hengyang 421001, Peoples R China.

通讯机构： [Wu, Daqing] Shanghai Ocean Univ, Coll Econ & Management, Shanghai 201306, Peoples R China.;[Wu, Daqing] Univ South China, Comp Sci & Technol Inst, Hengyang 421001, Peoples R China.;[Wu, Daqing] Tongji Univ, Sch Econ & Management, Shanghai 20092, Peoples R China.

关键词： logistics;carbon emissions;green supply chain;quantum-particle swarm optimization

摘要： This paper aims to simultaneously minimize logistics costs and carbon emissions. For this purpose, a mathematical model for a three-echelon supply chain network is created considering the relevant constraints such as capacity, production cost, transport cost, carbon emissions, and time window, which will be solved by the proposed quantum-particle swarm optimization algorithm. The three-echelon supply chain, consisting of suppliers, distribution centers, and retailers, is established based on the number and location of suppliers, the transport method from suppliers to distribution centers, and the quantity of products to be transported from suppliers to distribution centers and from these centers to retailers. Then, a quantum-particle swarm optimization is described as its performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to balance the economic benefit and environmental effect. © 2018 by the authors.

语种： 英文

作者： Jiang, Jianjun*;Wang, Yiqun;Zhang, Li;Wu, Daqing;Li, Min;Xie, Tian;Li, Pengcheng;Dai, Licao;Li, Peiyao;Shi, Xianyun;Wang, Shiwei;Zhang, Anna

期刊： Safety Science,2018年108:196-202 ISSN：0925-7535

通讯作者： Jiang, Jianjun

作者机构： [Jiang, Jianjun; Wang, Yiqun; Zhang, Li; Li, Pengcheng; Xie, Tian; Dai, Licao] Univ South China, Human Factors Inst, Sch Management, Hengyang 421001, Hunan, Peoples R China.;[Jiang, Jianjun; Zhang, Li] Hunan Inst Technol, Sch Safety & Environm Engn, Hengyang 421002, Hunan, Peoples R China.;[Li, Min; Wu, Daqing] Univ South China, Sch Comp Sci & Technol, Hengyang 421001, Hunan, Peoples R China.;[Zhang, Anna; Wang, Shiwei; Shi, Xianyun; Li, Peiyao] Univ South China, Sch Econ & Management, Dept Informat Management & Informat Syst, Grade E Commerce 15, Hengyang 421001, Hunan, Peoples R China.

通讯机构： [Jiang, Jianjun] Univ South China, Human Factors Inst, Sch Management, Hengyang 421001, Hunan, Peoples R China.;[Jiang, Jianjun] Hunan Inst Technol, Sch Safety & Environm Engn, Hengyang 421002, Hunan, Peoples R China.

关键词： Digital human–computer interface;Cognitive reliability model;Bayesian network

摘要： Nowadays, traditional human–machine interface has been converted into digital human–computer interface in most industrial control rooms, then, cognitive process and reliability are also bound to be different from traditional human–machine interface. Aiming at the situation, the authors in this paper propose a cognitive reliability model with influencing factors based on Bayesian network. Taking a nuclear power plant (Npp) as research background, taking simulative experiment as study way, parameter values in cognitive reliability mathematical model are obtained by analyzing much experimental data. The proposed model is reasonable, accurate, sensitive and convergent by analyzing experiment data. Cognitive error probabilities of some tasks regarding a hot transmission system (HTS) leak accident in a Npp are obtained according to the proposed model and simulative experiments. The model provides a simple and feasible approach to analyze cognitive reliability of operating process in digital human–computer interface. © 2017 Elsevier Ltd

语种： 英文

作者： Jiang, Jianjun*;Zhang, Li;Xie, Tian;Wu, Daqing;Li, Min;Wang, Yiqun;Peng, Yuyuan;Peng, Jie;Zhang, Mengjia;Li, Peiyao;Ma, Congmin;Wu, Xing

期刊： Annals of Nuclear Energy,2017年106:247-255 ISSN：0306-4549

通讯作者： Jiang, Jianjun

作者机构： [Jiang, Jianjun; Zhang, Li] Hunan Inst Technol, Sch Safety & Environm Engn, Hengyang 421002, Hunan, Peoples R China.;[Jiang, Jianjun; Wang, Yiqun; Zhang, Mengjia; Xie, Tian] Univ South China, Sch Econ & Management, Human Factors Inst, Hengyang 421001, Hunan, Peoples R China.;[Li, Min; Wu, Daqing] Univ South China, Sch Comp Sci & Technol, Hengyang 421001, Hunan, Peoples R China.;[Peng, Yuyuan] South China Univ Technol, Guangzhou Coll, Sch Comp Engn, Guangzhou 510830, Guangdong, Peoples R China.;[Peng, Jie] GuangDong Univ Finance & Econ, Informat Sci Coll, Guangzhou 510320, Guangdong, Peoples R China.

通讯机构： [Jiang, Jianjun] Hunan Inst Technol, Sch Safety & Environm Engn, Hengyang 421002, Hunan, Peoples R China.;[Jiang, Jianjun] Univ South China, Sch Econ & Management, Human Factors Inst, Hengyang 421001, Hunan, Peoples R China.

关键词： Human reliability;Quantity of components;Quick convergence search method;Affinity error probability mapping function

摘要： This is the second in a series of papers describing the optimal design method for a digital human computer interface of nuclear power plant (Npp) from three different points based on human reliability. The purpose of this series is to explore different optimization methods from varying perspectives. This present paper mainly discusses the optimal design method for quantity of components of the same factor. In monitoring process, quantity of components has brought heavy burden to operators, thus, human errors are easily triggered. To solve the problem, the authors propose an optimization process, a quick convergence search method and an affinity error probability mapping function. Two balanceable parameter values of the affinity error probability function are obtained by experiments. The experimental results show that the affinity error probability mapping function about human-computer interface has very good sensitivity and stability, and that quick convergence search method for fuzzy segments divided by component quantity has better performance than general algorithm. (C) 2017 Elsevier Ltd. All rights reserved.

语种： 英文