Zhe Yuan

Zhe Yuan
EMLV Business School · Business Group

Doctor of Philosophy

About

35
Publications
6,716
Reads
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550
Citations
Introduction
Zhe Yuan is an Associate Professor at EMLV Business School. She holds her PhD at CentraleSupélec, University of Paris-Saclay. She works as a project coordinator for the European Union's ERASMUS+ program named EdTech and AI: Creating pedagogical material for the 21st century. Her research interests include operations management, warehouse management, interface research between artificial intelligence and management science, and flexibility in supply chains.
Education
November 2015 - December 2019
CentraleSupélec
Field of study
  • Supply chain management

Publications

Publications (35)
Article
Full-text available
The rapid advancement of Chinese Complex Products and Systems (CoPS) enterprises marks their transition into a post-catch-up phase, challenging conventional theories of catch-up. This study employs a configurational approach to explore the intricate relationships between catch-up environments and strategies, specifically focusing on the distinct pa...
Preprint
For small-to-medium enterprises (SMEs) dealing with short-life cycle products, limited censored demand often leads to inadequate knowledge of demand distribution and suboptimal decisions. To tackle this barrier, we propose a data-driven newsvendor framework, integrating a novel cost-driven data correction procedure with distributionally robust opti...
Article
Drones are increasingly used for last-mile delivery due to their speed and cost-effectiveness. This study focuses on a novel locker-drone delivery system, where trucks transport parcels from the warehouse to lockers, and drones complete the final delivery. This system is ideal for community and intra-facility logistics. The research optimises the n...
Article
Full-text available
This paper proposes a new proportional-sharing approach for fixed cost allocation (FCA) among a group of decision-making units (DMUs) based on data envelopment analysis (DEA). We first prove the proportional invariance in DEA-based FCA. Then, we show that the “all-efficient” assumption in existing models usually leads to the use of unrealistic weig...
Article
Many studies have addressed the research questions in online platforms and the collection of waste electric and electronic equipment. However, they may ignore the effect of trust-building in the online platform and how trust affects the optimal strategy in the recycling platform. Consumers must consider the price and credibility in the product recy...
Article
Full-text available
The established literature demonstrates the critical role of the policy mix in the formulation and implementation of government policies for industrial upgrading. However, existing studies mainly examine the policy mix from either a horizontal or a vertical coordination perspective; very few examine both dimensions. To gain further insights, the cu...
Article
Full-text available
Existing literature highlights the relevance of technology uncertainty and processes in latecomers’ catch-up but largely ignores the potential interplay between the two as well as the catch-up cycle. Thus, the purpose of this study is to answer the research question of how process patterns throughout the various stages of the catch-up cycle hinge o...
Article
Full-text available
Our objective is to examine how firms manage corporate social activities across divergent orientations, either pro-CSR (corporate social responsibility) and/or anti-CSiR (corporate social irresponsibility) activities. We investigate two different approaches to managing corporate social activities, namely, balanced and combined, and study their pote...
Article
Full-text available
Artificial Intelligence and related technologies represent a major advance in the human capacity to produce knowledge from different areas of knowledge. The application of these technologies in repetitive human activities that can be learned by a machine is already a constant in society, but their use in education still needs research, especially p...
Article
Purpose The aim of this study is to empirically test the link between servitization and trade credit in manufacturing firms as well as the boundary conditions of this link. Design/methodology/approach Using a unique dataset of 4,974 observations covering 838 manufacturing firms publicly listed in the United States during 1990–2020, this study exam...
Article
The last-mile delivery in urban areas is the biggest challenge for carriers. In recent years, e-commerce has experienced strong growth, which has caused an explosion in the number of packages to be delivered. Businesses no longer hesitate to invest in new technologies such as artificial intelligence and drones. In this paper, we present a model of...
Article
Improving eco-efficiency is an important way to promote environmental decoupling. Based on the input-output model and data envelopment analysis (DEA), this paper evaluates the eco-efficiency of 44 sectors in China with a new DEA model considering inter-sectoral linkages, then explores how the industrial network would be optimized as inefficient sec...
Article
Many studies have addressed the research questions in platform pricing and WEEE (Waste Electric and Electronic Equipment) collection. However, they may ignore the effect of trust-building in the online platform and how trust affects the optimal strategy built in the recycling platform. Consumers need to consider the price and credibility in the pro...
Article
This paper proposes an approach for medical resource allocation among hospitals under public health emergencies based on data envelopment analysis (DEA). First, the DEA non-regressive production technology is adopted to ensure that the DMU can always refer to the most advanced production technology throughout all production periods. Based on the no...
Article
This paper develops a new fixed cost allocation (FCA) approach that considers individual rationality and fairness using the data envelopment analysis (DEA) cross-efficiency evaluation. We propose two FCA principles from individual rationality: a novel self-lowest principle and the efficient after FCA principle. Under the precondition that the indiv...
Article
Improving the express industry's environmental efficiency is of practical significance to green and sustainable economic development. The development of internet may help achieve this goal. However, previous studies have not provided a consistent result about the relationship between internet development and the express industry's environmental eff...
Chapter
This paper considers a quantity-flexibility contract with green-sensitive demand in the automotive industry. The automobile manufacturer determines the green level, and the retailer determines the retail price. The authors apply game theory to build the models, optimize the green level for maximizing the automobile manufacturer’s profit, and optimi...
Article
China’s transportation sector suffers from energy over-consumption and CO2 over-emission, resulting in increasing pressure to improve energy and environmental efficiency. Current measurement techniques cannot produce precise CO2 emission data, and this uncertainty makes previous approaches problematic for analyzing energy and environmental efficien...
Article
The emissions trading system allows organizations to transact emission permits to fit their production practice. This paper develops a new nonparametric methodology for performance evaluation of organizations (or decision-making units, DMUs) considering carbon emission permit trading. Explicit production axioms are discussed, and a new production t...
Article
In recent years, when planning and determining a travel destination, residents often make the best of Internet techniques to access extensive travel information. Search engines undeniably reveal visitors’ real-time preferences when planning to visit a destination. More and more researchers have adopted tourism-related search engine data in the fiel...
Article
This paper develops a new approach to select a common projection direction for performance evaluation of decision-making units (DMUs) using the data envelopment analysis (DEA) directional distance function. First, we define the concept of directional extensibility of a specific projection direction with respect to a set of inefficient DMUs. The con...
Article
Full-text available
This paper studies a Robotic Mobile Fulfilment System (RMFS), featured by a number of robots lifting and transporting movables storage shelves from storage grids to order pickers. In such systems, online retailers often classify their customers by two major classes ‘expedited shipping’ and ‘standard shipping’. We build high-dimension Markov models...
Article
Full-text available
We study robotic mobile fulfilment systems for online retailers, where products are stored in movable shelves and robots transport shelves. While previous studies assume random assignment rule of workstations to robots, we propose an assignment rule based on handling speeds of workstations and design a neighbourhood search algorithm to find a near...
Article
Full-text available
This paper studies a robotic mobile fulfillment system (RMFS) featured by robots transporting movables shelves to order pickers. The RMFS can increase productivity, reduce costs, increase order picking accuracy, and improve operational flexibility. We build queue network models to describe the RMFS with two protocols in sharing robots for pickers,...
Article
This paper studied a new order fulfilling system using mobile robots instead of manual picking at online retailers’ distribution centers. This new generation of sustainable green warehouse systems can improve productivity and flexibility. We measured the performance of system, and provided design rules for velocity of robots. We built open queue mo...
Article
Full-text available
The design of public storage warehouses needs to fit market segments to increase the average revenue in an environment of high demand. This paper presents a revenue model integrated with queuing and price-demand theories to solve the design and pricing problem for public storage warehouses. We consider two demand cases in the model, which are expon...
Conference Paper
Full-text available
This paper studied a new order fulfilling system using mobile robots instead of manual picking at online retailers’ distribution centers. This new generation of sustainable green warehouse systems can improve productivity and flexibility. We measured the performance of system, and provided design rules for velocity of robots. We built open queue mo...
Article
Full-text available
In this study, we employ an NK-based model to explore the evolution path of synergetic services in e-commerce. The proposed model can dynamically adjust to the changes in the synergetic services brands of e-commerce over time, including their technical and promotion capabilities. The simulation results show that enterprise innovation fitness increa...

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