• The Application of Industry 4.0 Technologies in Sustainable Logistics: A Systematic Literature Review (2012-2020) to Explore Future Research Opportunities 

      Sun, Xu; Yu, Hao; Solvang, Wei Deng; Wang, Yi; Wang, Kesheng (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-12-10)
      Nowadays, the market competition becomes increasingly fierce due to diversified customer needs, stringent environmental requirements, and global competitors. One of the most important factors for companies to not only survive but also thrive in today’s competitive market is their logistics performance. This paper aims, through a systematic literature analysis of 115 papers from 2012 to 2020, at ...
    • A Decision-Support Framework for Smart and Sustainable Reverse Logistics Network Design 

      Sun, Xu (Doctoral thesis; Doktorgradsavhandling, 2022-10-06)
      The Fourth Industrial Revolution, namely Industry 4.0, has provided opportunities for digitalization and paradigm shifts in many industries and business sectors. Reverse logistics is currently being increasingly focused on by worldwide companies and governments due to the pressure on sustainable development and circular economy. Through the gradual but steady adoption of several disruptive ...
    • A decision-support model for operational planning of surface coal mining considering equipment failure 

      Yu, Hao; Solvang, Wei Deng; Sun, Xu (Konferansebidrag; Conference object, 2016)
      This paper presents a decision-support model aiming, primarily, at maximizing the productivity of surface coal mining activities through operational planning and management. The model is formulated based upon mixed integer programming, and it determines the optimal production plan of the shovels and allocation plan of the haul trucks in order to minimize operational cost, fuel consumption as well ...
    • A Digital Reverse Logistics Twin for Improving Sustainability in Industry 5.0 

      Sun, Xu; Yu, Hao; Solvang, Wei Deng (Chapter; Bokkapittel, 2023-09-14)
      The rapid development of information and communication technology (ICT) and digitalization in the Industry 5.0 era have opened up new opportunities for reverse logistics management to become digitalized, smarter, more sustainable, and simplified by incorporating disruptive technologies, e.g., Internet-of-things (IoT), artificial intelligence (AI), big data analysis, simulation, blockchain, etc. ...
    • Measuring the Effectiveness of AI-Enabled Chatbots in Customer Service Using AnyLogic Simulation 

      Sun, Xu; Yu, Hao; Solvang, Wei Deng (Chapter; Bokkapittel, 2023-01-26)
      With the rapid technological advancement and innovation in Industry 4.0/5.0, digitalization has become the mainstream that transforms the paradigm of many industries, businesses, and services. In this regard, AI-enabled chatbots have been increasingly adopted by many companies for providing customer services instead of human agents. On the one hand, the use of AI-enabled chatbots provides opportunities ...
    • Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China) 

      Yu, Hao; Sun, Xu; Solvang, Wei Deng; Zhao, Xu (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-09)
      The outbreak of an epidemic disease may pose significant treats to human beings and may further lead to a global crisis. In order to control the spread of an epidemic, the effective management of rapidly increased medical waste through establishing a temporary reverse logistics system is of vital importance. However, no research has been conducted with the focus on the design of an epidemic reverse ...
    • A Simulation-Based Analysis for Effective Distribution of COVID-19 Vaccines: A Case Study in Norway 

      Sun, Xu; Andol, Eugenia Ama; Yu, Hao (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-08-24)
      Since December 2020, the vaccines from several manufacturers, e.g., Pfizer/BioNTech, Moderna, etc., have been approved for mass vaccination to control the COVID-19 pandemic, which has caused more than 100 million infections and 2.4 million deaths. These vaccines are produced and transported in large quantities to suffice the needs of several countries. Before arriving at the end-users, the vaccines ...
    • Solving a Real-World Urban Postal Service Network Redesign Problem 

      Yu, Hao; Sun, Xu; Solvang, Wei Deng; Laporte, Gilbert (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-05-28)
      Due to recent technological advancements, more diversified customer demand, and increasingly harder competition, traditional postal service systems have experienced significant changes all over the world. In Norway, through a strategic reform called post-in-shop, undertaken in 2013, most postal services are now provided at postal service counters located in retailer stores in order to improve ...
    • Solving a Traffic Congestion Problem at T-intersections using AnyLogic Simulation 

      Kazmi, Syed Muhammad Mustafa; Sun, Xu; Yu, Hao; Pettersen, Jan-Arne; Thordarson, Diana Santalova (Journal article; Tidsskriftartikkel; Peer reviewed, 2022)
      Beyond its significance in urban planning and traffic engineering, the optimal design of road networks is crucial for the uninterrupted flow of traffic. Traffic congestion results in increased travel times and waiting times as well as higher CO<sub>2</sub> emissions. It is therefore imperative to study and optimize the traffic flow through roads and junctions to avoid such conditions. In this paper, ...
    • Solving the Location Problem of Printers in a University Campus Using p-Median Location Model and AnyLogic Simulation 

      Sun, Xu; Yu, Hao; Solvang, Wei Deng (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-01-03)
      The location decision on service facilities is of significant importance in determining the accessibility of the service provided. Due to this reason, it has been extensively focused over the past decades by both researchers and practitioners. This paper investigates a novel two-phase hybrid method combining both optimization model and agent-based simulation in order to solve the location problem ...
    • A Stochastic Closed-Loop Supply Chain Network Optimization Problem Considering Flexible Network Capacity 

      Yu, Hao; Solvang, Wei Deng; Sun, Xu (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-01-03)
      Nowadays, due to the concern of environmental challenges, global warming and climate change, companies across the globe have increasingly focused on the sustainable operations and management of their supply chains. Closed-loop supply chain (CLSC) is a new concept and practice, which combines both traditional forward supply chain and reverse logistics in order to simultaneously maximize the utilization ...
    • A Stochastic Network Design Problem for Hazardous Waste Management 

      Yu, Hao; Sun, Xu; Solvang, Wei Deng; Laporte, Gilbert; Lee, Carman K M (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-05)
      Hazardous waste management is of paramount importance due to the potential threats posed to the environment and local residents. The design of a hazardous waste management system involves several important decisions, i.e., the determination of the locations and sizes of treatment, recycling and disposal facilities, and organizing the transportation of hazardous waste among different facilities. In ...
    • System Integration for Smart Reverse Logistics Management 

      Sun, Xu; Yu, Hao; Solvang, Wei Deng (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-16)
      To maximize the value and material recovery from waste products, smart reverse logistics aims at managing the complex flows of physical items, cash, data, and information. The effective management of these flows requires optimal decision making at strategic, tactical, and operational levels. To support the decision making, predictive, prescriptive, and descriptive analytics have been proved to be ...
    • Towards the smart and sustainable transformation of Reverse Logistics 4.0: a conceptualization and research agenda 

      Sun, Xu; Yu, Hao; Solvang, Wei Deng (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-16)
      The recent advancement of digitalization and information and communication technology (ICT) has not only shifted the manufacturing paradigm towards the Fourth Industrial Revolution, namely Industry 4.0, but also provided opportunities for a smart logistics transformation. Despite studies have focused on improving the smartness, connectivity, and autonomy of isolated logistics operations with a primary ...