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Improving the Decision-making of Reverse Logistics Network Design Part I: A MILP Model under Stochastic Environment
(Peer reviewed; Bokkapittel; Book; Bok; Chapter, 2018-02-11)
The study of the network design problems related to reverse supply chain and reverse logistics is of great interest for both academicians and practitioners due to its important role for a sustainable society. However, reverse logistics network design is a complex decision-making problem that involves several interactive factors and faces many uncertainties. Thus, in order to improve the reverse ...
Improving the Decision-making of Reverse Logistics Network Design Part II: An Improved Scenario-based Solution Method and Numerical Experimentation
(Peer reviewed; Chapter; Bokkapittel, 2018-02-11)
The study of the network design problems related to reverse supply chain and reverse logistics is of great interest for both academicians and practitioners due to its important role for a sustainable society. However, reverse logistics network design is a complex decision-making problem that involves several interactive factors and faces many uncertainties. Thus, in order to improve the reverse ...
Moving from Industry 4.0 to Industry 5.0: What Are the Implications for Smart Logistics?
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-01)
Given the importance of human centricity, resilience, and sustainability, the emerging concept of Industry 5.0 has pushed forward the research frontier of the technology-focused Industry 4.0 to a smart and harmonious socio-economic transition driven by both humans and technologies, where the role of the human in the technological transformation is predominantly focused on. Several studies discuss ...
A Trade-off Model for Green Supply Chain Design: An Efficiency-versus-Emission Analysis
(Peer reviewed; Chapter; Bokkapittel, 2018-04-09)
—With the growing concern of climate change and global warming, the reduction on carbon emissions of supply chain activities have been increasingly focused by both academics and corporates in the last two decades. The increased public awareness on sustainability and stricter environmental policies together enforce the companies to rethink their practices in supply chain design and operations in an ...
A multi-objective location-allocation optimization for sustainable management of municipal solid waste
(Journal article; Peer reviewed; Tidsskriftartikkel, 2017-02-13)
The location problem of treatment and service facilities in municipal solid waste (MSW) management system is of significant importance due to the socioeconomic and environmental concerns. The consideration of waste treatment costs, environmental impact, greenhouse gas (GHG) emissions, social fairness as well as other relevant aspects should be simultaneously taken into account when a MSW management ...
A stochastic programming approach with improved multi-criteria scenario-based solution method for sustainable reverse logistics design of Waste electrical and electronic equipment (WEEE)
(Journal article; Tidsskriftartikkel; Peer reviewed, 2016-12-17)
Today, the increased public concern for sustainable development and more stringent environmental regulations have become the most important driving forces for value recovery from end-of-life and end-of use products through reverse logistics. Waste electrical and electronic equipment (WEEE) contains both valuable components that need to be recycled and hazardous substances that have to be properly ...
An improved multi-objective programming with augmented ε-constraint method for hazardous waste location-routing problem
(Journal article; Tidsskriftartikkel; Peer reviewed, 2016-05-31)
Hazardous waste location-routing problems are of importance due to the potential risk for nearby residents and the environment. In this paper, an improved mathematical formulation is developed based upon a multi-objective mixed integer programming approach. The model aims at assisting decision makers in selecting locations for different facilities including treatment plants, recycling plants and ...
A Goal Programming Approach for Green Supply Chain Network Optimization
(Chapter; Bokkapittel, 2016-10)
Green supply chain management has been focused by both academicians and practitioners in recent years due to the increased public awareness on environmental problems and sustainable development. In this paper, a decision aided model for green supply chain network design and optimization is proposed to justify both economic and environmental performance in an optimal fashion. The model is formulated ...
A Carbon-Constrained Stochastic Optimization Model with Augmented Multi-Criteria Scenario-Based Risk-Averse Solution for Reverse Logistics Network Design under Uncertainty
(Journal article; Peer reviewed; Tidsskriftartikkel, 2017-07-10)
With the increase of the concern from the public for environmental pollution and waste of resources, the value recovery through reuse, repair, remanufacturing and recycling from the end-of-use (EOU) and end-of-life (EOL) products have become increasingly important. Reverse logistics is the process for capturing the remaining value from the EOU and EOL products and also for the proper disposal of the ...
A multi-objective mathematical programming for sustainable reverse logistics network design. Part II: Model application and analysis
(Peer reviewed; Chapter; Bokkapittel, 2016-02)
Reverse logistics has received more and more attention during the past decade due to the increasing public awareness of sustainable development. Because of the fluctuation in both quantity and quality of the reverse material flow, design and planning of reverse logistics network is much more complicated compared with the forward ones. Therefore, it is important to develop decision support tools for ...