Shujuan Guo

Dr. Shujuan Guo

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 December 2018 in International Journal of Production Research
Verified
Journal Article
Closed access
SGShujuan Guo
Shujuan Guo
FGFei Geng
Fei Geng
KTKatsuhiko Takahashi
Katsuhiko Takahashi
XWXiaohan Wang
Xiaohan Wang
Zhihong JinZhihong Jin
Zhihong Jin
The beam-type placement machine is capable of picking up multiple components simultaneously from the feeders in printed circuit board (PCB) assembly. Simultaneous pickup occurs only if the heads in the beam are aligned with the feeders and the nozzle-types on these heads match with the component-types on the feeders. In order to minimise the assembly cycle time, the optimisation problem is decomposed into two sub-problems, the pickup combination and sequencing problem, and the placement cluster and sequencing problem. These two sub-problems are simultaneously solved by the proposed hybrid genetic algorithm (HGA). The pickup combination and sequencing problem is similar to the popular multi-compartment vehicle routing problem (MCVRP); a genetic algorithm (GA) for the MCVRP is therefore modified and applied to solving the pickup combination and sequencing problem. A greedy heuristic algorithm is used to solve the placement cluster and sequencing problem. The numerical experiments reveal that the HGA outperforms the algorithms proposed by previous papers.

23 December 2011 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
SGShujuan Guo
Shujuan Guo
KTKatsuhiko Takahashi
Katsuhiko Takahashi
KMKatsumi Morikawa
Katsumi Morikawa
Zhihong JinZhihong Jin
Zhihong Jin

2 September 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
GLGang Li
Gang Li
RZRuining Zhang
Ruining Zhang
SGShujuan Guo
Shujuan Guo
JZJunyi Zhang
Junyi Zhang
Well-being enhancement is an essential goal of urban transportation. As an emerging and popular mode of urban transportation, the impact of the ride-hailing service on people’s well-being has not been well examined, especially in developing countries. In order to study the influencing factors of ride-hailing passenger satisfaction and the relationship between passenger satisfaction and subjective well-being, a conceptual framework of the relationships between ride-hailing passengers’ characteristics, the service quality of ride-hailing (service perception, operation service, external influence, and safety perception), passenger satisfaction, and life satisfaction is developed and verified with data collected in Dalian city, China. A comparative analysis between express and hitch in the ride-hailing service is conducted by a multiple indicators multiple causes model. The result shows that service perception, safety perception, external influence, and operation service have significantly positive effects on passenger satisfaction in both express and hitch, but they play diverse roles. Passenger satisfaction in express and hitch positively and differently affects their respective life satisfaction with the consideration of individual heterogeneity in terms of socio-economic characteristics. These findings complement the interaction mechanism of service quality, passenger satisfaction, and life satisfaction in the field of ride-hailing; they provide critical insights for ride-hailing platforms and policymakers to satisfy the diversified travel needs and the well-being improvement of the public.

16 February 2011 in Flexible Services and Manufacturing Journal
Verified
Journal Article
Closed access
PDF file
SGShujuan Guo
Shujuan Guo
KTKatsuhiko Takahashi
Katsuhiko Takahashi
KMKatsumi Morikawa
Katsumi Morikawa

5 March 2021 in Sustainability
Verified
Journal Article
Open access
PDF file
SGShujuan Guo
Shujuan Guo
CDCuijie Diao
Cuijie Diao
GLGang Li
Gang Li
KTKatsuhiko Takahashi
Katsuhiko Takahashi
China Railway Express (CR Express) is a pioneer of the Silk Road Economic Belt and the 21st Century Maritime Silk Road. The intermodal container terminal system consisting of a maritime terminal and a railway terminal is investigated in this paper. It connects the shipping route and the CR Express route. Typically, there are two container accumulation modes in the railway terminal to dispatch a train, i.e., the fixed-length and the fixed-time container accumulation modes. The intermodal container terminal system can be formulated as the two-echelon dual-channel supply chain model. The steady-state probability matrix is obtained by solving the equilibrium equations. The cooperation between the maritime terminal and the railway terminal is considered to accelerate the accumulation of the containers. The total revenue of the two terminals is used as the key system performance indicator. Numerical experiments are conducted to compare the fixed-length and the fixed-time container accommodation modes. The situations with and without cooperation between two terminals are also compared in the two container accumulation modes, respectively.

23 January 2021 in Sustainability
Verified
Journal Article
Open access
PDF file
GRGang Ren
Gang Ren
XWXiaohan Wang
Xiaohan Wang
JCJiaxin Cai
Jiaxin Cai
SGShujuan Guo
Shujuan Guo
The integrated allocation and scheduling of handling resources are crucial problems in the railway container terminal (RCT). We investigate the integrated optimization problem for handling resources of the crane area, dual-gantry crane (GC), and internal trucks (ITs). A creative handling scheme is proposed to reduce the long-distance, full-loaded movement of GCs by making use of the advantages of ITs. Based on this scheme, we propose a flexible crossing crane area to balance the workload of dual-GC. Decomposing the integrated problem into four sub-problems, a multi-objective mixed-integer programming model (MIP) is developed. By analyzing the characteristic of the integrated problem, a three-layer hybrid heuristic algorithm (TLHHA) incorporating heuristic rule (HR), elite co-evolution genetic algorithm (ECEGA), greedy rule (GR), and simulated annealing (SA) is designed for solving the problem. Numerical experiments were conducted to verify the effectiveness of the proposed model and algorithm. The results show that the proposed algorithm has excellent searching ability, and the simultaneous optimization scheme could ensure the requirements for efficiency, effectiveness, and energy-saving, as well as the balance rate of dual-GC.