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A Network-based Set Covering Model for Charging Station Location Problem: A Case Study in Norway
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-25)Due to the worldwide concern about excessive greenhouse emissions and global warming, vehicles with cleaner sources of energy, e.g., electricity, hydrogen, etc., have been increasingly introduced into the market. Apart from the regulations and government incentives, the distance convenience and accessibility to charging stations have become one of the most important success factors to promote the ... -
The Application of Simulation in Facility Layout Design of an Industry 4.0 Factory
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-25)Facility layout planning (FLP) is one of the most discussed industrial topics that affects the performance of a manufacturing system. Conventional approaches have extensively focused on quantitative analyses with a primary focus on cost minimization. The recent technological development in computer-based simulation has provided powerful tools to better visualize and test different layouts in an ... -
Metal additive manufacturing adoption in SMEs: Technical attributes, challenges, and opportunities
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-26)Recent advancements in Metal Additive Manufacturing (MAM) are transforming manufacturing. Most research and market adoption of MAM have focused on Powder Bed Fusion (PBF), with less attention given to Directed Energy Deposition (DED), Binder Jetting (BJ), and Metal Material Extrusion (MEX), which are only now reaching industrial readiness. This increased availability of MAM processes provides SMEs ... -
Expanding the horizons of metal additive manufacturing: A comprehensive multi-objective optimization model incorporating sustainability for SMEs
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-09-11)Metal Additive Manufacturing (MAM) has seen significant growth in recent years, with sub-processes like Metal Material Extrusion (MEX) reaching industrial readiness. MEX, known for its cost-effectiveness and ease of integration, targets a distinct market segment compared to established high-end MAM processes. However, despite technological improvements, its overall integration into the industry as ... -
Optimizing Gridded Heater Arrangements in Anti-/De-icing Systems through Multiphysics Thermal Simulation
(Chapter; Bokkapittel, 2024-06)The electro-thermal system in anti-/de-icing systems, known for its reliability, is often favoured despite its notable drawback—high power consumption. Seeking to mitigate this issue, the adoption of a gridded heated surface emerges as a promising avenue for energy optimization. In this study, a finite difference method is employed to meticulously examine heat transfer across a selected surface with ... -
Experimental study of superhydrophobic coating effects on dynamic ice accretion ice accretion process along S-1223 airfoil
(Chapter; Bokkapittel, 2024-06)Ice accretion on can be considered as a major threat for the operation of UAVs in the ice prone region, leading to loss of control and catastrophic failures. Active ice mitigation techniques are not suitable for UAV’s due to availability of limited power. Superhydrophobic coatings can be considered as a promising passive ice mitigation technique for UAVs featuring exceptional capability to repel ... -
Development of Anti-/De-Icing System based on Active Thermography
(Chapter; Bokkapittel, 2024-06)Ice accretion remains a pervasive challenge for infrastructure in cold climates, posing threats to both human safety and machine operability. Addressing this issue, our work introduces an innovative, automated ice detection/mitigation system leveraging active infrared thermography. This technology enables the detection of ice on low-temperature surfaces exhibiting thermal contrast. The system ... -
Reinforcement Learning-based Alpha-list Iterated Greedy for Production Scheduling
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-10-11)Metaheuristics can benefit from analyzing patterns and regularities in data to perform more effective searches in the solution space. In line with the emerging trend in the optimization literature, this study introduces the Reinforcement-learning-based Alpha-List Iterated Greedy (RAIG) algorithm to contribute to the advances in machine learning-based optimization, notably for solving combinatorial ... -
Can an Industry-Led Infrastructure Development Strategy Facilitate Electric Truck Adoption?
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-12)Reverse logistics plays a critical role in sustainable development and circular economy by transforming waste into value. However, transporting large volumes of waste and recyclables generates significant carbon emissions. This paper explores an industry-led strategy for charging infrastructure development, which integrates the reverse logistics network designs with a network of charging stations ... -
New Fermatean Fuzzy Distance Metric and Its Utilization in the Assessment of Security Crises using the MCDM Technique
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-10-14)The problem of insecurity is a global phenomenon that has several forms like terrorism, banditry, kidnappings, etc. Insecurity has taken hold in the Sub-Saharan Region of West Africa, especially in Nigeria, for over two decades. Nigeria’s security crisis is more pronounced in the Northern Region, with a new wave in the North-Central Region of Nigeria. It is herculean to assess insecurity in the ... -
Study of Heat Distribution in Railway Switch Using Resistive Heater in Cold Climate Conditions
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-09-11)The railway is an essential source of logistics and transportation in cold regions, but low temperatures and icing can be challenging for uninterrupted railway operations in these regions. Icing on railway switches is a safety hazard, and presently, one of the industry’s adaptive approaches for ice mitigation is the use of resistive heaters. This method is efficient but consumes a great amount of ... -
Two-agent proportionate flowshop scheduling with deadlines: polynomial-time optimization algorithms
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-09-21)Volatility in the supply chain of critical products, notably the vaccine shortage during the pandemic, influences livelihoods and may lead to significant delays and long waiting times. Considering the capital- and time-intensive nature of capacity expansion plans, strategic oper ational production decisions are required best to address the supply-demand mismatches given the limited production ... -
On the Fidelity of RANS-Based Turbulence Models in Modeling the Laminar Separation Bubble and Ice-Induced Separation Bubble at Low Reynolds Numbers on Unmanned Aerial Vehicle Airfoil
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-04-09)The operational regime of Unmanned Aerial Vehicles (UAVs) is distinguished by the dominance of laminar flow and the flow field is characterized by the appearance of Laminar Separation Bubbles (LSBs). Ice accretion on the leading side of the airfoil leads to the formation of an Ice-induced Separation Bubble (ISB). These separation bubbles have a considerable influence on the pressure, heat flux, and ... -
An exploration of the concept of constrained improvement in data envelopment analysis
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-31)Constrained improvement refers to regulating rivalry between companies in a particular industry by defining a framework or an evaluation mechanism. Such a mechanism results in a more equitable and healthy competitive environment. The primary motivation is that the best-performing players in a particular industry improve their performance such that the rest of the contenders remain competitive. ... -
A Two-Level Decision-Support Framework for Reverse Logistics Network Design Considering Technology Transformation in Industry 4.0: A Case Study in Norway
(Journal article; Tidsskriftartikkel, 2024-07-20)Reverse logistics network design is a complex decision-making problem that involves the reuse, repair, remanufacturing, and recycling of end-of-life (EOL) under the tradeoff among conflicting objectives. The cutting-edge technologies in Industry 4.0 are now leading to an unprecedented and dynamic transformation of reverse logistics systems, which, however, further complicates the initial network ... -
Investigation of moisture transport in branch wood of Norway Spruce using NMR
(Master thesis; Mastergradsoppgave, 2024-05-15)Two samples from a specimen of a Norway spruce (Picea abies (L.) Karst.) branch was prepared. One opposite wood (OW) sample and one compression wood (CW) sample. Several tests using nuclear magnetic resonance were performed on these specimens to study the motion of moisture through the branch wood. The T2-experiment shows that the fibre saturation point is at 20% moisture content (MC) for OW and 25% ... -
Machine Learning in Predictive Quality Management
(Master thesis; Mastergradsoppgave, 2024-05-15)This thesis investigates how machine learning techniques has greater advantages over traditional Statistical Process Control (SPC) methods and Anomaly Detection (AD) in monitoring and controlling process parameters so that the process remains stable and in control to meet required quality satisfactions. The broader term of Predictive Quality Management introduces an important subject of predictive ... -
Intelligent decision modeling for optimizing railway cold chain service networks under uncertainty
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-06-27)Railway cold chain service network design (RCC-SND) aims to optimize the utilization of stations and lines as well as train allocations in a manner that minimizes costs while satisfying the service requirements of shippers. Furthermore, the uncertainties associated with freight demand, transportation costs, quality loss, station handling capacity, and arc capacity make the RCC-SND a complex ... -
Revisiting the development trajectory of parallel machine scheduling
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-23)The research on the Parallel Machine Scheduling Problem (PMSP) has undergone significant development. The most recent comprehensive review of published studies dates back to early 2001. This article presents an algorithmic review of PMSPs, using Main Path Analysis (MPA) to identify seminal knowledge diffusion and development trajectories. This research also sheds light on the less tangible aspects ...
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