Xianliang Shi

Beijing Jiaotong University

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Anqiang Huang

Beijing Jiaotong University

Qiwen Du

Beijing Jiaotong University

Dong Li

Hebei University of Technology

Guowei Hua

Beijing Jiaotong University

Shaohua Song

Macau University of Science and Technology

Guang Song

Beijing Jiaotong University

Ying Qiu

Beijing Institute of Petrochemical Technology

Yitong Ma

Beijing Jiaotong University

Zhenji Zhang

Beijing Jiaotong University

Zaili Yang

Liverpool John Moores University

Cooperative Institutions

Beijing Jiaotong University

Chinese Academy of Sciences

Hong Kong Polytechnic University

Dalian Maritime University

Tsinghua University

Zhejiang University

University of Chinese Academy of Sciences

Wuhan University of Technology

Shanghai Jiao Tong University

North China Electric Power University

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Research of Function Area Layout with an Improved SLP of Logistics Park

Advances in intelligent systems research/Advances in Intelligent Systems Research (2014)

Tinglu Mi Xianliang Shi

Function area layout of logistics parks has important influence on the effective operations of logistics parks.System layout design (SLP) is a widely used method for solving the facility layout issues, but it also has some limitations.The paper proposes an improved SLP that takes the internal and external constraints into the account of function area layout of logistics parks, having listed the process steps for the function area layout of logistics parks.Finally, a case analyzing was used to show the reasonability and validity of the proposed approach.The method can provide theoretical support and decision references for the function area layout planning of logistics parks.

Page layout

Integrated logistics support

10.2991/ermm-14.2014.110

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Citations (2)

Why does omni-channel allow retailers to foster supply chain resilience? Evidence from sequential mixed methods research

International Journal of Logistics Research and Applications (2022)

Shaohua Song Xianliang Shi Elena Tappia Guang Song Marco Melacini

The omni-channel (OC) approach improves efficiency under normal conditions and fosters resilience when a crisis hits, e.g. COVID-19. We adopt the sequential mixed methods research to conduct a two-stage investigation to explore how OC retailers achieve supply chain resilience (SCR). In stage 1, three key capabilities of OC retailers to foster SCR are identified qualitatively, i.e. collaboration, flexibility, and redundancy, as well as the conceptual model is developed based on the dynamic capabilities view. In stage 2, the roles of key capabilities in fostering SCR in three phases, i.e. preparedness, responsiveness, and recovery, is quantitatively examined, by using partial least squares structural equation modelling to test the hypotheses based on a sample of 225 Chinese OC retailers. The findings indicate that flexibility and redundancy are more significant for responsiveness, whilst collaboration is more crucial for recovery, offering valuable insights for supporting retailers in OC transformation and in setting a capabilities portfolio to withstand supply chain disruptions.

Preparedness

Resilience

Dynamic Capabilities

10.1080/13675567.2022.2159350

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Citations (7)

SUPPLY CHAIN EMISSION REDUCTION OPTIMIZATION UNDER CONSUMER CARBON SENSITIVITY AND CARBON TAX POLICY

Environmental Engineering and Management Journal (2018)

Qiwen Du Lan Bai Xianliang Shi Honghu Gao

This paper presents decentralized and centralized decision-making conditions based on consumer carbon sensitivity and carbon tax policy in a supplier-driven two echelons supply chain.The analysis shows that: 1) the optimal emission reduction amount under centralized decision-making is more than that under decentralized decision-making; 2) the carbon tax should be levied properly because the carbon emission reduction will decrease as the carbon tax is higher than a critical value; 3) the consumer carbon sensitivity is positively correlated with carbon emission reduction, but it may cause total mission rised in certain condition.Then an extensive numerical analysis is conducted to enrich the discussion and to draw some managerial insights on how to reduce carbon emission in the supply chain.

Carbon tax

Carbon fibers

10.30638/eemj.2018.163

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Citations (2)

Fostering supply chain resilience for omni-channel retailers: A two-phase approach for supplier selection and demand allocation under disruption risks

Expert Systems with Applications (2023)

Shaohua Song Elena Tappia Guang Song Xianliang Shi T.C.E. Cheng

Resilience

Supplier evaluation

10.1016/j.eswa.2023.122368

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Citations (14)

Optimization of Sino-Europe Container Transport Station in the qSilk Road Economic Beltq

Qiwen Du Xianliang Shi

Since the rise of the international container transport mode, it has become the main form of international trade.Especially, along with the continuous advance of China's "Silk Road Economic Belt" strategy, at the time of the increase of the land container traffic between China and Europe, there has emerged the issue of how to configure the Sino-European container transport station resources in the "Silk Road Economic Belt", and in this paper, by collating the status quo of the Sino-European container transport station in the "Silk Road Economic Belt", an optimization model of a queuing system based on continuous time batch arrival has been proposed.

10.2991/mshsd-17.2018.92

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Forecasting emergency medicine reserve demand with a novel decomposition-ensemble methodology

Complex & Intelligent Systems (2021)

Li Jiang-Ning Xianliang Shi Anqiang Huang Zefang He Kang Yu-xuan

Accurate prediction is a fundamental and leading work of the emergency medicine reserve management. Given that the emergency medicine reserve demand is affected by various factors during the public health events and thus the observed data are composed of different but hard-to-distinguish components, the traditional demand forecasting method is not competent for this case. To bridge this gap, this paper proposes the EMD-ELMAN-ARIMA (ELA) model which first utilizes Empirical Mode Decomposition (EMD) to decompose the original series into various components. The Elman neural network and ARIMA models are employed to forecast the identified components and the final forecast values are generated by integrating the individual component predictions. For the purpose of validation, an empirical study is carried out based on the influenza data of Beijing from 2014 to 2018. The results clearly show the superiority of the proposed ELA algorithm over its two rivals including the ARIMA and ELMAN models.

Component (thermodynamics)

Bridge (graph theory)

Mode (computer interface)

10.1007/s40747-021-00289-x

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Citations (5)

Information flow in reverse logistics: an industrial information integration study

Information Technology and Management (2012)

Xianliang Shi Ling Xia Li Lili Yang Zhihua Li Jung Young Choi

Reverse Logistics

Reverse engineering

Integrated logistics support

Information flow

System Integration

Information integration

10.1007/s10799-012-0116-y

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Citations (85)

MBA Education in British University of Surrey

Xianliang Shi

MBA education in University of Surrey is famous for strict assessment to students.It is deeply impressed by our visiting. The education modes,teaching patterns,assessing methods and learnware of MBA in University of Surrey are emphatically introduced.It is hoped to be useful to improve the MBA education in China.

University education

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Optimization of warehouse management based on artificial intelligence technology

Journal of Intelligent & Fuzzy Systems (2021)

Yang Li Xianliang Shi Hongdong Diao Min Zhang Yadong Wu

This paper analyzes the artificial intelligence algorithms related to the storage path optimization problem and focuses on the ant colony algorithm and genetic algorithm with better applicability. The genetic algorithm is used to optimize the parameters of the ant colony algorithm, and the performance of the ant colony algorithm is improved. A typical route optimization problem model is taken as an example to prove the effectiveness of parameter optimization. This paper proposes a combined forecasting method through data preprocessing algorithm and artificial intelligence optimization. The combined prediction method first uses wavelet transform threshold processing to remove the noise data in the original data and then uses three separate methods to reduce noise. Forecast warehouse data and obtain intermediate forecast results. This article analyzes warehouse management and can solve the problems in the company’s warehouse management from the aspects of warehouse design and planning, warehouse design, and integrated warehouse management. After comparative analysis and selection, this paper uses the SLP method to rationally adjust and arrange the relative position and area of each functional area of the warehouse, and improve the evaluation index system. Experimental research shows that under the guidance of this article to optimize storage strategy, cargo location layout, and warehousing workflow, the employee reward mechanism mobilizes the enthusiasm of employees, improves work efficiency, and reduces storage costs. The above-mentioned various optimization and storage improvement measures finally reduced the total storage cost by 17%, effectively achieving the goal of cost control.

Data pre-processing

10.3233/jifs-189843

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Citations (8)

Evaluation Index System of the Influence of Regional Eco-supply Chain upon the Environment

Logistics Technology (2010)

Xianliang Shi

Starting from the concept of regional eco-supply chain,the paper establishes an evaluation index system of its environmental influence from the eight aspects of regional economic system,ecological equilibrium,industrial ecology,reverse supply chain,closed-loop supply chain,green supply chain,eco-supply chain and sustainable supply chain,then empirically studies several cases of success and finally points out its application foundation and future research directions.

Chain (unit)

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