Danping Lin

Shanghai Maritime University

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Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

C.K.M. Lee

Hong Kong Polytechnic University

Youfang Huang

Shanghai Maritime University

Daofang Chang

Shanghai Maritime University

Chee‐Chong Teo

Nanyang Technological University

Zhuo Xin

Xiamen University

Jilin Yang

Hong Kong Polytechnic University

Shiang-Jiun Chen

National Taipei University of Technology

Mff Siu

Hong Kong Polytechnic University

Haoran Li

Bristol Robotics Laboratory

Yang Yang

Chinese Academy of Sciences

Cooperative Institutions

Shanghai Maritime University

Hong Kong Polytechnic University

Nanyang Technological University

Chinese Academy of Sciences

University of Chinese Academy of Sciences

University of Hong Kong

Institute for Information Industry

Tsinghua University

South China University of Technology

Wuhan University of Science and Technology

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

The effect of soft power investment on Shanghai Port competitiveness using DEA

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (2015)

Danping Lin Daofang Chang Zhen Wang

In order to improve the overall performance of Shanghai port, this paper proposes a systematic evaluation model to assess the competitiveness of Shanghai Port with 25 input indicators and 6 output indicators. The proposed evaluation model reduces the dimensions of the indices by Factor Analysis, and uses the data envelopment analysis (DEA) approach to validate the data from 2008 to 2013. By implementing the cross-evaluation mechanism after the analysis of factor deviation, this paper is capable to recognize the pros and cons of each decision-making units (DMUs), and provide practical implications for enhancing the competitiveness of Shanghai Port.

Port (circuit theory)

Investment

10.1109/ieem.2015.7385891

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Citations (0)

Identification of Factors Affecting the Adoption of Home Intelligent Robots

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (2022)

Danping Lin Shuang Wu Lingchao Zhu

Understanding the factors driving the adoption of intelligent robots at home is crucial to improve the technology development given the era of Industry 4.0. This study aims to identify the influencing factors on the adoption of home intelligent robots. Eleven factors are recognized and Interpretative Structural Modeling (ISM) method was used to analyze the data that collected through questionnaires. In addition, fuzzy-ISM model is built to extend the experiments. The results found that price is the most dependent influencing factor, and after-sales service and appearance are the fundamental driving factors in regular ISM model, while price and after-sales service remain in the top and bottom levels in the fuzzy-ISM results.

Identification

Service robot

10.1109/ieem55944.2022.9989722

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Design of service capacity for the ground crew at the airport check-in counters

International Journal of Quality and Service Sciences (2014)

Zhuo Xin Danping Lin Youfang Huang Wenwen Cheng Chee‐Chong Teo

Purpose – The purpose of this paper is to present an integrative approach for the problem of service capacity design for the ground crew at the airport check-in counters. Design/methodology/approach – Using data collected from the airport check-in counters, several characteristics of the service demand were studied. First, many service time-dependent operating characteristics are addressed over a specified time window to evaluate the problems from the current ground crew allocation. Second, a linear programming model is developed to determine the optimal number of check-in counters to open over the specified time window based on the case study. In addition, sensitive analysis is conducted to further explore the dependency effect of the factors as well as improve the model. Third, the shift adjustment of the ground crew allocation is provided so as to satisfy the given service demand. Findings – Numerical results indicated the effectiveness in the improvement of the human resource utilization of the proposed approach. The superiority of performance is illustrated in terms of less counters to be opened and decreased daily working hours. Originality/value – The study is novel by applying the integrated approach so as to design a proper service capacity and thus the service supply and demand can be balanced.

Service level

10.1108/ijqss-03-2013-0006

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Citations (5)

Cold Chain Logistics Distribution Network Planning Subjected to Cost Constraints

International Journal of Advanced Science and Technology (2015)

Daofang Chang Jinfeng Zhu Danping Lin

In order to reduce the loss in the circulation of agricultural products, and to reduce the total cost, this article minimizes the operation cost by establishing an objective function when designing the cold chain logistics distribution network.Considering the characteristics of the cold chain products, this paper regards construction cost of network nodes, transportation cost and damage cost as the main factors in establishing an objective function.As the cold chain logistics is correlated to the demand of service time, this article comes up with a concept of "service radius", which transformed the transportation time between logistics nodes into the service radius of logistic nodes.The model is verified through a series of constraint conditions to express the relationship between the various decision variables.An example is given in the end, which demonstrates the application of this model in a vegetable firm distribution logistics network planning.The final computation results illustrated that the model is effective.

Cold chain

Integrated logistics support

Chain (unit)

Service level

10.14257/ijast.2015.75.01

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Citations (7)

A PSO approach for the integrated maintenance model

Reliability Engineering & System Safety (2019)

Danping Lin Baoping Jin Daofang Chang

Optimal maintenance

Planned maintenance

Cost reduction

Proactive maintenance

Mode (computer interface)

10.1016/j.ress.2019.106625

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Citations (30)

Application of interpretive structural modelling for analyzing the factors of IoT adoption on supply chains in the Chinese agricultural industry

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (2017)

Danping Lin C.K.M. Lee William Chi Shing Tai

The contemporary supply chain is complex and interrelated. Agricultural supply chain has started to make use of advanced technology in broad areas. Internet of Things (IoT) refers to the inter-networking of embedded devices (things), which enable these things to collect and exchange data so as to streamline the value chain. The advantages of IoT adoption include real time monitoring and control, thereby increasing the operation efficiency. However, the application of IoT in the Chinese agricultural supply chain remains at an early stage. The evaluation of influencing factors of the IoT practices in a structural model is conducted to investigate their interrelationship. In this study, we adopt the interpretive structural modelling to analyze the interrelationship among factors that influence IoT adoption in Chinese agriculture. Ten factors have been inputted into the proposed model, and MICMAC analysis is further conducted to visualize the relationship based on the study that have been derived.

10.1109/ieem.2017.8290112

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Citations (12)

Analysis of customers' return behaviour after online shopping in China using SEM

Industrial Management & Data Systems (2020)

Danping Lin C.K.M. Lee Mff Siu Henry Y.K. Lau K.L. Choy

Purpose The purpose of this paper is to examine the potential impacts of various variables on product return activities after online shopping. Previous studies on customer behaviour have been predominantly concerned with return on used products and other product-quality-related constructs in the model. This study aims to specially examine the logistics service-related and customer intention–related variables for general products under the e-commerce circumstance. Design/methodology/approach Structured questionnaire data for this study were collected in the two southeast cities of China (162 useable responses). Structural equation modelling was used to examine the latent variables. Findings The results confirmed that product return intention has the greatest impact on online shopping returns with a direct effect of 0.63, followed by the flexibility in return (logistics service) with a direct effect of 0.49. Originality/value Such a model not only enriches the theoretical understanding of customer behaviour studies but also offers online shopping stores and platforms a quantitative benchmark and new perspective on the design of online shopping supply chains by considering product returns so as to improve the customer satisfaction.

Customer Satisfaction

10.1108/imds-05-2019-0296

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Citations (14)

Influencing Factors on the Adoption of Face Recognition Technology on Campus Based on SEM

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (2021)

Danping Lin Chan Yuan Chen Zhi-jian

Nowadays, the facial recognition technology (FRT) is gradually being applied in our life. In order to better serve the campus life, this paper tries to understand and study the influencing factors on the adoption of FRT on campus. A structural equation model (SEM) approach is designed to quantify multiple influencing variables and figure out the relationships among each other. The data collection is obtained through questionnaires, and the representativeness of data is analyzed using SPSS software. After that, the data were modeled using the Amos toolkit. The results reveal that the core factors about the adoption of FRT on campus are privacy and promotion.

Promotion (chess)

Sample (material)

10.1109/ieem50564.2021.9673015

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Citations (1)

A Dynamic Maintenance Task Scheduling Method Considering Maintenance Mode

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (2022)

Danping Lin Shu Chen Leilei Wei

Maintenance scheduling has become an indispensable part of today's industrial technology development. Reasonable arrangement of maintenance tasks can greatly speed up the maintenance process, ensure the quality of maintenance, and improve efficiency. However, as an important branch of maintenance schedule, there is no tasks scheduling of maintenance that dynamically considers the impact of maintenance mode (replacement, overhaul, and minor repair). Therefore, this paper will create a mixed-integer mathematical model to dynamically schedule maintenance tasks considering maintenance mode. Different involvement of maintenance mode is included in the experiments and the experimental results proved that the proposed method can save the maintenance cost.

Maintenance engineering

Planned maintenance

Operational maintenance

Mode (computer interface)

10.1109/ieem55944.2022.9989772

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Integration of TOC and ERP in Production Planning

Danping Lin C.K.M. Lee Jason X. Zhou

The manufacture of high-quality products at comparatively low-cost has gradually become the mainstream. Our study arranges the production planning by integrating the bottleneck-breaking concept of theory of constraints (TOC) and the enterprise resources planning (ERP). We use it to provide timely and relevant information on resource and production progress, which is a critical issue for the production planning. Through analyzing the manufacturing characteristics, we further integrate the drum-buffer-rope (DBR) method to synchronize production to the constraint to achieve the following objects: First, the company can easily identify the bottleneck and allocate its valuable resources to the bottleneck. Second, in process management, the company can set the pace of other operation activities according to the drum of the bottleneck with the assistance of continuous information feed. Third, the proposed method is capable to improve the production performance in terms of cycle time and capacity utilization. A practical case is presented to demonstrate how TOC and ERP can effectively integrated and implemented for production planning.

Theory of Constraints

Pace

Production manager

Manufacturing execution system

10.1109/liss.2018.8593237

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Citations (1)