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Peng Yang
Research center for modern logistics, Shenzhen International Graduate School, Tsinghua University, Shenzhen, People’s Republic of China

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Articles
Published: 17 June 2021 in International Journal of Production Research
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With high efficiency and good scalability, Robotic Mobile Fulfilment Systems (RMFS) are increasingly applied in various warehouses, especially the e-commerce warehouses with rigid order completion time. RMFS requires less workers and provide more punctual service for customers. The existing literature on RMFS is based on single-deep non-compact layout. As land supply is limited and expensive in urban area, it’s essential to consider compact storage in RMFS. This paper is the first to model and evaluate the multi-deep compact RMFS. We develop a semi-open queueing network (SOQN) model to characterise the multi-deep compact RMFS and solve it by Approximate Mean Value Analysis (AMVA). The obtained approximate analytic solutions of system throughput, robot utilisation, and queue length were verified and assessed through simulations. The numerical experiments investigated the effects of different configuration of the lane depth, number of picking aisles, arrangement of picking stations and the number of robots on performance. Our research can provide useful guidelines for warehouse planners and managers for designing and operating multi-deep compact RMFS.

ACS Style

Peng Yang; Guang Jin; Guofang Duan. Modelling and analysis for multi-deep compact robotic mobile fulfilment system. International Journal of Production Research 2021, 1 -16.

AMA Style

Peng Yang, Guang Jin, Guofang Duan. Modelling and analysis for multi-deep compact robotic mobile fulfilment system. International Journal of Production Research. 2021; ():1-16.

Chicago/Turabian Style

Peng Yang; Guang Jin; Guofang Duan. 2021. "Modelling and analysis for multi-deep compact robotic mobile fulfilment system." International Journal of Production Research , no. : 1-16.

Journal article
Published: 28 April 2021 in Sustainability
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The location of electric vehicle charging facilities is of great significance in promoting the use of electric vehicles. Most existing electric vehicle location models, including the flow refueling location model (FRLM) and its flexible reformulation (FRFRLM), are based on flow demand. At present, these models cannot effectively deal with large-scale traffic networks within a limited time, and there has been little comparison of their relative benefits and limitations. Additionally, there have been few evaluations of the actual construction and location of charging facilities in cities. This paper describes an algorithm that can solve the large-scale transportation network problem within a reasonable time. Using this algorithm, the FRLM and FRFRLM models are compared in a case study focused on Jiading District, Shanghai, China, which provides some direction for the future development of flow demand models. Finally, to evaluate the actual construction of urban charging facilities, this paper presents an algorithm that can map the actual charging facilities to the transportation network, and compares the actual construction situation with the model output. This enables a comprehensive evaluation of the actual construction of charging facilities and provides guidance for future construction.

ACS Style

Cheng Wang; Zhou Gao; Peng Yang; Zhenpo Wang; Zhiheng Li. Electric Vehicle Charging Facility Planning Based on Flow Demand—A Case Study. Sustainability 2021, 13, 4952 .

AMA Style

Cheng Wang, Zhou Gao, Peng Yang, Zhenpo Wang, Zhiheng Li. Electric Vehicle Charging Facility Planning Based on Flow Demand—A Case Study. Sustainability. 2021; 13 (9):4952.

Chicago/Turabian Style

Cheng Wang; Zhou Gao; Peng Yang; Zhenpo Wang; Zhiheng Li. 2021. "Electric Vehicle Charging Facility Planning Based on Flow Demand—A Case Study." Sustainability 13, no. 9: 4952.

Journal article
Published: 02 May 2020 in Sustainability
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In this study, the tour planning problem for electric vehicles is investigated. We aim to derive the optimal route and thus, to maximize profitability and minimize range anxiety within the time horizon. To solve this problem, a bi-objective mixed integer model is proposed. Specifically, we first introduced the reliability of route planning and quantified it as a cost with specific functions. The nonlinear model was then converted into a bi-objective mixed integer linear program, and an interactive branch and bound algorithm was adopted. Numerical experiments conducted on different networks have shown that the model that considers range anxiety offers more effective solutions. This means that our model is able to plan the routes with high reliability and low risk of profit loss and accidents.

ACS Style

Rui Chen; Xinglu Liu; Lixin Miao; Peng Yang. Electric Vehicle Tour Planning Considering Range Anxiety. Sustainability 2020, 12, 3685 .

AMA Style

Rui Chen, Xinglu Liu, Lixin Miao, Peng Yang. Electric Vehicle Tour Planning Considering Range Anxiety. Sustainability. 2020; 12 (9):3685.

Chicago/Turabian Style

Rui Chen; Xinglu Liu; Lixin Miao; Peng Yang. 2020. "Electric Vehicle Tour Planning Considering Range Anxiety." Sustainability 12, no. 9: 3685.

Journal article
Published: 21 October 2019 in Sustainability
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This study researches the dynamical location optimization problem of a mobile charging station (MCS) powered by a LiFePO 4 battery to meet charging demand of electric vehicles (EVs). In city suburbs, a large public charging tower is deployed to provide recharging services for MCS. The EV’s driver can reserve a real-time off-street charging service on the MCS through a vehicular communication network. This study formulates a multi-period nonlinear flow-refueling location model (MNFRLM) to optimize the location of the MCS based on a network designed by Nguyen and Dupuis (1984). The study transforms the MNFRLM model into a linear integer programming model using a linearization algorithm, and obtains global solution via the NEOS cloud CPLEX solver. Numerical experiments are presented to demonstrate the model and its solution algorithm.

ACS Style

Faping Wang; Rui Chen; Lixin Miao; Peng Yang; Bin Ye. Location Optimization of Electric Vehicle Mobile Charging Stations Considering Multi-Period Stochastic User Equilibrium. Sustainability 2019, 11, 5841 .

AMA Style

Faping Wang, Rui Chen, Lixin Miao, Peng Yang, Bin Ye. Location Optimization of Electric Vehicle Mobile Charging Stations Considering Multi-Period Stochastic User Equilibrium. Sustainability. 2019; 11 (20):5841.

Chicago/Turabian Style

Faping Wang; Rui Chen; Lixin Miao; Peng Yang; Bin Ye. 2019. "Location Optimization of Electric Vehicle Mobile Charging Stations Considering Multi-Period Stochastic User Equilibrium." Sustainability 11, no. 20: 5841.

Journal article
Published: 30 March 2017 in Sustainability
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China promoted the large-scale adoption of Electric Vehicles (EVs) in its 13th five-year plan; however, this target faces many obstacles. This paper analyzes the main barriers to widespread adoption of EVs through a survey in Shenzhen, which has the biggest EVs market share out of China’s major cities. Based on previous research, this paper conducted a new study using 406 approved questionnaires among 500 participants. Our study proposed five hypotheses to examine the main barriers to widespread adoption of EVs. The analysis was conducted using statistical method that included two-way frequency tables, chi-square test, and factor analysis. The results indicated that perception of advantages of EVs and access to recharging EVs remained the main barriers in large-scale penetration. Furthermore, our study revealed that a drop in financial incentives would not cause a significant decline in the future adoption of EVs. The study provides suggestions to car manufacturers and government policy advisors based on our analysis and discussion.

ACS Style

Fa-Ping Wang; Jia-Li Yu; Peng Yang; Li-Xin Miao; Bin Ye. Analysis of the Barriers to Widespread Adoption of Electric Vehicles in Shenzhen China. Sustainability 2017, 9, 522 .

AMA Style

Fa-Ping Wang, Jia-Li Yu, Peng Yang, Li-Xin Miao, Bin Ye. Analysis of the Barriers to Widespread Adoption of Electric Vehicles in Shenzhen China. Sustainability. 2017; 9 (4):522.

Chicago/Turabian Style

Fa-Ping Wang; Jia-Li Yu; Peng Yang; Li-Xin Miao; Bin Ye. 2017. "Analysis of the Barriers to Widespread Adoption of Electric Vehicles in Shenzhen China." Sustainability 9, no. 4: 522.

Journal article
Published: 22 December 2015 in Sustainability
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The initial allocation of tradable carbon emission allowances is among the most contentious issues in developing an emission trading scheme (ETS). China faces serious dilemmas of system complexity and information incompleteness and asymmetry in allocating carbon allowance among enterprises. As one of the pilot ETS regions, Shenzhen has launched the first regional cap-and-trade ETS (SZ ETS) in China. Adhering to the overall plan and classification analysis, SZ ETS intends to solve the aforementioned dilemmas by developing innovative allowance allocation policies. A fundamental principle is to allocate allowances based on carbon intensity and actual output, according to which a two-step allocation procedure is constructed. A competitive game mechanism is introduced for allowance allocation among manufacturing enterprises. Empirical results indicate the following: (1) Carbon allowance allocation based on carbon intensity and actual output can mitigate carbon emission growth by reducing CO2 emitted per unit output, and, thus, buffer the shocks of unexpected economic fluctuations to ETS stability; (2) Competitive game allocation may contribute to improving the use of scattered information to enhance the efficiency of information and emission resource allocation. Exploring SZ ETS may provide a reference for formulating future national carbon allowance allocation policies in China and other developing regions.

ACS Style

Bin Ye; Jingjing Jiang; Lixin Miao; Ji Li; Yang Peng. Innovative Carbon Allowance Allocation Policy for the Shenzhen Emission Trading Scheme in China. Sustainability 2015, 8, 3 .

AMA Style

Bin Ye, Jingjing Jiang, Lixin Miao, Ji Li, Yang Peng. Innovative Carbon Allowance Allocation Policy for the Shenzhen Emission Trading Scheme in China. Sustainability. 2015; 8 (1):3.

Chicago/Turabian Style

Bin Ye; Jingjing Jiang; Lixin Miao; Ji Li; Yang Peng. 2015. "Innovative Carbon Allowance Allocation Policy for the Shenzhen Emission Trading Scheme in China." Sustainability 8, no. 1: 3.

Journal article
Published: 23 November 2015 in Energies
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In China, the power sector is currently the largest carbon emitter and the transportation sector is the fastest-growing carbon emitter. This paper proposes a model of solar-powered charging stations for electric vehicles to mitigate problems encountered in China’s renewable energy utilization processes and to cope with the increasing power demand by electric vehicles for the near future. This study applies the proposed model to Shenzhen City to verify its technical and economic feasibility. Modeling results showed that the total net present value of a photovoltaic power charging station that meets the daily electricity demand of 4500 kWh is $3,579,236 and that the cost of energy of the combined energy system is $0.098/kWh. In addition, the photovoltaic powered electric vehicle model has pollutant reduction potentials of 99.8%, 99.7% and 100% for carbon dioxide, sulfur dioxide, and nitrogen oxides, respectively, compared with a traditional gasoline-fueled car. Sensitivity analysis results indicated that interest rate has a relatively strong influence on COE (Cost of Energy). An increase in the interest rate from 0% to 6% increases COE from $0.027/kWh to $0.097/kWh. This analysis also suggests that carbon pricing promotes renewable energy only when the price of carbon is above $20/t.

ACS Style

Bin Ye; Jingjing Jiang; Lixin Miao; Peng Yang; Ji Li; Bo Shen. Feasibility Study of a Solar-Powered Electric Vehicle Charging Station Model. Energies 2015, 8, 13265 -13283.

AMA Style

Bin Ye, Jingjing Jiang, Lixin Miao, Peng Yang, Ji Li, Bo Shen. Feasibility Study of a Solar-Powered Electric Vehicle Charging Station Model. Energies. 2015; 8 (11):13265-13283.

Chicago/Turabian Style

Bin Ye; Jingjing Jiang; Lixin Miao; Peng Yang; Ji Li; Bo Shen. 2015. "Feasibility Study of a Solar-Powered Electric Vehicle Charging Station Model." Energies 8, no. 11: 13265-13283.

Journal article
Published: 09 January 2014 in Transportation Research Part E: Logistics and Transportation Review
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This paper examines the Local Container Drayage Problem (LCDP) under an operation mode in which a tractor can be detached from its companion trailer and assigned to a new task. We have incorporated a set of temporal constraints into the classical VRP to realize this operation by utilizing the idle time available to tractors and coordinating the empty containers moving between customers. A tabu search algorithm is proposed. Some numerical experiments are conducted to assess the performance of the proposed algorithm, quantify the benefit of the new operation mode, and identify the conditions under which the mode is effective.

ACS Style

Zhaojie Xue; Canrong Zhang; Wei-Hua Lin; Lixin Miao; Peng Yang. A tabu search heuristic for the local container drayage problem under a new operation mode. Transportation Research Part E: Logistics and Transportation Review 2014, 62, 136 -150.

AMA Style

Zhaojie Xue, Canrong Zhang, Wei-Hua Lin, Lixin Miao, Peng Yang. A tabu search heuristic for the local container drayage problem under a new operation mode. Transportation Research Part E: Logistics and Transportation Review. 2014; 62 ():136-150.

Chicago/Turabian Style

Zhaojie Xue; Canrong Zhang; Wei-Hua Lin; Lixin Miao; Peng Yang. 2014. "A tabu search heuristic for the local container drayage problem under a new operation mode." Transportation Research Part E: Logistics and Transportation Review 62, no. : 136-150.