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301
A Long-Term Shared Autonomous Vehicle System Design Problem considering Relocation and Pricing
Published 2022-01-01“…The minimum customer service rate is regarded as a constraint to ensure the system’s reliability. Moreover, a mixed-integer nonlinear programming (MINLP) model is formulated to jointly determine the number of stations and parking spaces, fleet size, relocation, and pricing strategies to maximize the total profit. …”
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302
A Time-Dependent Fuzzy Programming Approach for the Green Multimodal Routing Problem with Rail Service Capacity Uncertainty and Road Traffic Congestion
Published 2018-01-01“…In response to the demand for an environmentally friendly transportation, we extend the problem into a green version by using both emission charging method and bi-objective optimization to optimize the CO2 emissions in the routing. …”
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303
Joint Lagrangian Relaxation and Dynamic Programming Approach for a Multi-Period Multi-Product Location-Inventory Problem
Published 2025-01-01“…Computational experiments prove that the presented approach gives solutions close to optimal and low gaps in a low computational time. …”
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304
Genetic Algorithm and Mathematical Modelling for Integrated Schedule Design and Fleet Assignment at a Mega-Hub
Published 2025-06-01“…This study addresses the challenge of introducing a new route from a mega-hub to a new destination, while maintaining the existing flight network and leveraging arrivals from spoke airports to ensure connectivity. First, a mixed-integer nonlinear mathematical model was formulated to produce a global optimal solution at a lower time granularity, but it became computationally intractable at higher granularities due to the exponential growth in constraints and variables. …”
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305
APPROACH TO OPTIMISING AND MANAGING WAREHOUSE STOCKS IN A CAR SERVICE
Published 2025-05-01“…The objective of the proposed model is to minimise the total inventory costs, including purchasing, holding, and potential shortage costs, by applying integer linear programming techniques. The problem is formulated with decision variables representing quantities to be ordered and stocked, and includes a set of linear constraints reflecting all operational requirements. …”
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306
Exploring the synergy between sustainability and resilience in supply chains under stochastic demand conditions and network disruptions
Published 2025-06-01“…Combining fuzzy multi-criteria decision-making with a fuzzy multi-objective mixed-integer nonlinear programming model, the framework optimizes triple bottom line sustainability alongside resilience. …”
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307
Location Problem - Routing a vehicle with a specified fuel capacity based on a tough time window and customer satisfaction
Published 2023-09-01“…In this research, first, a mixed integer linear programming model is presented and then metaheuristic method based on Non-dominated Sorting Genetic Algorithm is proposed to find the optimal solution. …”
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308
An Automated Load Restoration Approach for Improving Load Serving Capabilities in Smart Urban Networks
Published 2025-07-01“…The proposed model is developed based on a mixed-integer quadratically constrained program (MIQCP), including an optimal power flow (OPF) problem to minimize the power losses in normal operation and the load shedding in islanded operation, while keeping voltage and capacity constraints. …”
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309
Integrated Train Rescheduling and Rerouting during Multidisturbances under a Quasi-Moving Block System
Published 2021-01-01“…In order to adjust the train speed and find the best routes for trains, the set of alternative arcs and alternative arrival/departure paths are considered in the constraints, respectively. Due to this complex NP-hard problem, a two-step algorithm with three scheduling rules based on a commercial optimizer is applied to solve the problem efficiently in a real-word case, and the efficiency, validity, and feasibility of this method are demonstrated by a series of experimental tests. …”
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310
Partial Disassembly and Consideration of Part Relationships in Multiproduct, Multiperiod Capacitated Disassembly Scheduling With Parts Commonality
Published 2024-01-01“…This paper proposes a new mixed-integer linear programming (MILP) model to consider a multiproduct, multiperiod capacitated disassembly scheduling model with parts commonality and partial disassembly. …”
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311
Truck and Unmanned Vehicle Routing Problem with Time Windows: A Satellite Synchronization Perspective
Published 2022-01-01“…Intersatellite synchronization, which focuses on synchronization operations at various satellites, allows UVs to not return to the dispatched locations, if necessary. In the mixed-integer linear programming model of the TUVRP-TW, both binary variables for identifying the appointed satellites and continuous variables for time continuity constraints are introduced to ensure the interaction between truck routes and UV routes. …”
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312
The electric boat charging problem
“…This model allows to optimally solve industrial scale instances. Moreover, using a sensitivity analysis, we unveil that both the battery capacity and the time limit constraint of the EB route are critical parameters.…”
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313
Modelling maintenance scheduling strategies for highway networks.
Published 2022-01-01“…We formulate MMS as a mixed integer linear programming model subject to the constraints of the quantity of manpower and the worst-first maintenance sequence. …”
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314
Waste Collection Optimisation: A Path to a Green and Sustainable City of Makkah
Published 2023-08-01“…Thus, there is a need to find optimal and fast solutions to this problem. Solving this problem demands tackling numerous routing constraints while aiming to minimise the operational cost. …”
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315
Multi-objective planning and sustainability assessment for integrated energy systems combining ORC and multi-energy storage: 4E (economic, environmental, exergy and emergy) analysi...
Published 2025-01-01“…Firstly, the mixed-integer nonlinear optimization models for three scenarios of gas turbine (GT) without ORC, GT with ORC (GT-ORC) and solid oxide fuel cell (SOFC) with ORC (SOFC-ORC) are established, and the Pareto curve is obtained by using the augmented ε constraint. …”
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316
A multi-objective robust possibilistic programming approach to designing sustainable and reliable closed-loop supply chain network (case study: aluminum industry)
Published 2024-08-01“…The mathematical model developed in this research is of mixed integer linear programming type, which is implemented in GAMS software to solve it and find Pareto optimal solutions.Findings: The accuracy of the overall performance of the proposed model has been evaluated with four examples (based on the coefficients of the objective functions) from a case study in the aluminium industry. …”
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317
An Intelligent Contract-Driven Bidding Approach for Electric Vehicle Aggregators to Facilitate Blockchain-Powered Energy Trading
Published 2025-01-01“…This paper presents a decentralized blockchain-powered smart contract-based peer-to-peer model to enable optimal energy trading coordination of electric vehicles with aggregators in the smart community, where revenue from feed-in tariffs, ancillary services, and peer-to-peer sales are optimized, and the cost is minimized using a mixed-integer linear programming formulation. …”
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318
Capacity requirements and demand management strategies in meal delivery
Published 2024-01-01“…To simplify analysis, we focus on problem geometries that enable the use of stylized mixed integer programs to optimally deploy a fleet of couriers serving large numbers of orders. …”
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319
A Novel MILP Model for the Production, Lot Sizing, and Scheduling of Automotive Plastic Components on Parallel Flexible Injection Machines with Setup Common Operators
Published 2021-01-01“…The goodness of the model is evaluated with the computational time and the deviation of the obtained results as regards to the optimal solution.…”
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320
A robust resilient-oriented design for the cyber-physical distribution system against sequential typhoons
Published 2025-07-01“…Thereafter, the proposed robust optimization model is recast to a mixed-integer linear programming problem, which can be solved by a nested column-and-constraint generation algorithm. …”
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