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Multicommodity network flow model of a human resource allocation problem considering time periods
This article addresses the problem of finding work assignments for employees within a given time horizon in a company using a multicommodity network...
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Dynamic Relational Graph Convolutional Network for Metro Passenger Flow Forecasting
Due to the complex network structure and time-varying spatial relationships inherent in metro station systems, coupled with the influence of...
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Simulation approach with MC-reduction for multi-state flow network reliability estimation
A multistate flow network (MSFN) is an applicable model for constructing and evaluating practical systems, including an information system in...
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Robust maximum flow network interdiction considering uncertainties in arc capacity and resource consumption
This article discusses a robust network interdiction problem considering uncertainties in arc capacities and resource consumption. The problem...
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Data flow dissemination in a network
We consider the following network model motivated, in particular, by blockchains and peer-to-peer live streaming. Data packet flows arrive at the...
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Multi-commodity flow problem on lossy network with partial lane reversals
During the transmission of several different commodities from respective sources to the sinks, there may be loss due to leakage, evaporation, or...
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Models for Network Flow and Network Design Problems with Piecewise Linear Costs
In modeling real-world applications of network design, a difficulty often encountered is the fact that capacity on the arcs are not ”all-or-nothing”...
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A New Flow-Based Location and Capacity Model for Profit-Oriented Refueling Station Network Transformation
The availability of refueling stations for alternative fuels is of high importance for the penetration of alternative fuel vehicles (AFV) in today’s...
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A comprehensive blockchain-enabled supply chain network design: an iterative model versus an integrated model
As an outcome of economies of scale, demand growth can benefit companies in various ways. However, demand fulfillment and management are just not...
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Simulation-based system reliability estimation of a multi-state flow network for all possible demand levels
The multi-state flow network (MSFN) serves as a fundamental framework for real-life network-structured systems and various applications. The system...
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Instant flow distribution network optimization in liquid composite molding using deep reinforcement learning
Carbon fibre reinforced plastic (CFRP) manufacturing cycle time is a major driver of production rate and cost for aerospace manufacturers. In vacuum...
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LMCA: a lightweight anomaly network traffic detection model integrating adjusted mobilenet and coordinate attention mechanism for IoT
As widely known, most of the Internet of Things (IoT) devices own small storage and constrained computing power, and hence, their poor security...
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A reliability prediction model for a multistate cloud/edge-based network based on a deep neural network
Network reliability, named multistate stochastic cloud/edge-based network (MCEN) reliability afterwards, is defined as the probability that demands...
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Multi-period max flow network interdiction with restructuring for disrupting domestic sex trafficking networks
We consider a new class of multi-period network interdiction problems, where interdiction and restructuring decisions are decided upon before the...
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A robust optimization model to design an IoT-based sustainable supply chain network with flexibility
Supply chain network design is one of the most important issues in today’s competitive environment. Moreover, the ratio of transportation costs to...
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A data-driven mathematical model to design a responsive-sustainable pharmaceutical supply chain network: a Benders decomposition approach
The pharmaceutical supply chain is unique to other supply chains due to certain characteristics. Medicine is classified as a valuable asset, and any...
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Minskyan model with credit rationing in a network economy
The global financial crisis of 2007/2008 has shown the importance of modeling economic agents not in isolation but as interconnected and interactive...
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Automatic model generation for material flow simulations of Third-Party Logistics
The use of Third-Party Logistics (TPL) is a common practice among manufacturing companies seeking to increase profitability. However, the tender...
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A multi-stage stochastic model for designing a linked cross-docking distribution network with heterogeneous trucks
Designing an efficient supply chain network where supply capacity and demand change over periods has been a growing challenge for today’s transport...
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A Bicriteria Almost Equal Minimum Cost Flow Model for Day-Ahead Trading
As the share of renewable energy and therefore the fluctuation in power generation increases, using a battery to market the power saved/used by a...