Article
Computer Science, Interdisciplinary Applications
Wassila Abdellaoui, Mehdi Souier, M'hammed Sahnoun, Fouad Ben Abdelaziz
Summary: This article proposes an operational schedule for a multi-product pipeline system in an Algerian oil company to meet the demands of different distribution centers while respecting quality and cost requirements. The model utilizes a mixed integer linear programming (MILP) approach and is tested on a real case to show that it satisfies variable demand while meeting quality and cost constraints.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Li Yu, Sujing Wang, Qiang Xu
Summary: In this paper, a scheduling model for simultaneous optimization of refinery manufacturing and downstream oil-product pipeline distribution is developed, aiming to achieve high integration in the refinery supply chain system. The model provides optimal solutions for refinery unit operations, inventory management, oil slug movement in the pipeline, and feeding and discharging strategies at multiple tanks.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Review
Environmental Sciences
Ikenna Ignatius George, Mohd Ghazali Mohd Nawawi, Zaidi Jafaar Mohd, Bayero Salih Farah
Summary: Nigeria's struggles with sustainable development in areas such as environmental sustainability, transportation, and petroleum product distribution have posed threats to human and ecological health. Petroleum product spills have had a detrimental effect on soil, water, and air, with negative consequences for humans, aquatic life, and biodiversity. This study analyzed the impact of petroleum product transportation on accident-prone areas of Nigerian highways, highlighting the need for improved spill response, stricter legislation, and remediation measures to mitigate the environmental and health effects of spills.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Mathematics, Applied
F. Khalili Goudarzi, H. R. Maleki, S. Niroomand
Summary: This article improves a formulation for scheduling multi-product pipelines in order to minimize operational expenses. It considers factors such as batch sizing limits and inventory carrying costs, and proposes three solution strategies. Numerical demonstrations are used to showcase the efficiency and dependability of the model.
JOURNAL OF APPLIED MATHEMATICS AND COMPUTING
(2023)
Article
Computer Science, Interdisciplinary Applications
Van Son Nguyen, Quang Dung Pham, Thanh Hoang Nguyen, Quoc Trung Bui
Summary: Vehicle routing problem is an important operation in logistics that can help companies save operational costs by optimizing route plans. This paper proposes a new variant of the problem, taking into account well-studied features and introducing a new constraint. The problem comes from a dairy distribution company in Vietnam, with an average of over 1000 customer points in the plan. The proposed method significantly reduces the time required for route planning, from one day to just two hours.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Review
Energy & Fuels
Zhimin Yao, Yangyang Zhang, Yuanzhou Zheng, Chenghao Xing, Yun Hu
Summary: This paper reviews the current research on reducing wax precipitation and enhancing crude oil flow in offshore pipelines, investigating methods such as reducing viscosity and strengthening process technology. Areas in need of further research are also identified and discussed.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Management
Hossein Mostafaei, Pedro M. Castro, Fabricio Oliveira, Iiro Harjunkoski
Summary: This paper introduces a mixed integer linear programming model for pipeline transportation scheduling, which considers factors such as interface material generation, planned shutdowns, and local market demands, resulting in better schedules. The use of generalized disjunctive programming and convex hull reformulation of disjunctions leads to stronger and more computationally efficient formulations for large-scale industrial cases.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Energy & Fuels
Renfu Tu, Yingqi Jiao, Rui Qiu, Qi Liao, Ning Xu, Jian Du, Yongtu Liang
Summary: This paper proposes an integrated framework that combines pricing strategy and logistics optimization for multi-product pipelines. By analyzing 10 pipeline pricing schemes in two regions in China, the results show that the well-performing scheme can increase monthly revenue by 11.41 million CNY, improve the competitive advantage of long-distance pipelines, and reduce energy consumption by 272 tce.
Article
Computer Science, Interdisciplinary Applications
Balazs Csontos, Laszlo Halasz, Istvan Heckl
Summary: An oil company transports products through pipelines and uses delivery scheduling plans to determine the sequence of operations. Short-term and simple network plans can be manually validated, while long-term or complex network plans require simulation tools for validation.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Balazs Csontos, Laszlo Halasz, Istvan Heckl
Summary: One of the tasks of an oil company is to transport products between sites based on a scheduling plan. This study presents improvements on a previous simulation model, allowing for flexible operations on products in the pipeline.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Mathematics, Applied
F. Khalili Goudarzi, H. R. Maleki, S. Niroomand
Summary: This paper introduces a new fuzzy multi-objective multi-product pipeline scheduling problem and proposes a two-stage methodology to solve it by converting fuzzy formulation to equivalent crisp form in the first stage and solving the multi-objective crisp formulation with well-known approaches in the literature in the second stage.
IRANIAN JOURNAL OF FUZZY SYSTEMS
(2021)
Article
Management
Christian Clavijo Lopez, Yves Crama, Thierry Pironet, Frederic Semet
Summary: This article explores methods for retailers to reduce operational costs through the use of logistics service intermediaries. By establishing a tactical design with dynamic contracts, a suitable network of cross-docking facilities and related transportation capacities can be determined, and a mathematical model and algorithm for the multi-period minimum purchase commitment contracts planning problem is proposed. The results of the study show that these methods perform well in solving large-scale problems and bring economic benefits to retailers.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
K. Gkiotsalitis, C. Iliopoulou, K. Kepaptsoglou
Summary: This study extends the multi-depot vehicle scheduling problem with time windows (MDVSPTW) to incorporate electric vehicles and proposes a mixed-integer nonlinear model for the electric bus multi-depot vehicle scheduling problem with time windows (EB-MDVSPTW). The model considers operational cost, waiting times, capacity of charging stations, and prohibits simultaneous charging of different vehicles at the same charger. Valid inequalities are introduced to improve the computational efficiency of the problem. Numerical experiments show the effectiveness of the approach and the reduction in computational time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Alexandre Checoli Choueiri, Eduardo Alves Portela Santos
Summary: This study introduces an algorithmic framework that utilizes process mining tools to extract industrial processes and retrieve necessary product tree information for multi-level scheduling. A faster decoding solution is proposed for algorithms using random keys. Computational experiments demonstrate that the new decoding is quicker than the conventional approach, opening up promising new pathways for future research.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Computer Science, Interdisciplinary Applications
Pedro L. Miranda, Jean-Francois Cordeau, Emma Frejinger
Summary: This paper addresses the locomotive routing problem by designing a tractable integer linear program based on a time-space network representation. Results from computational experiments on real instances show that the model can be solved optimally within reasonable computing times and outperforms historical data provided by the industrial partner, satisfying train schedules and locomotive maintenance efficiently.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Management
F. Hooshmand, F. Mirarabrazi, S. A. MirHassani
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2020)
Article
Computer Science, Theory & Methods
Behrooz Farkiani, Bahador Bakhshi, S. Ali MirHassani
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2019)
Article
Computer Science, Interdisciplinary Applications
F. Hooshmand, F. Amerehi, S. A. MirHassani
COMPUTERS & OPERATIONS RESEARCH
(2020)
Article
Computer Science, Artificial Intelligence
M. Dodge, S. A. MirHassani, F. Hooshmand
Summary: The paper presents a DNA computing algorithm based on the sticker model to solve the two-dimensional cutting stock problem (TDCSP), proving that the time complexity of this algorithm on DNA computers is polynomial, taking into account the number of small pieces and the dimensions of the main board.
Article
Computer Science, Information Systems
Behrooz Farkiani, Bahador Bakhshi, S. A. MirHassani
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2019)
Article
Construction & Building Technology
Amirhossein Fani, Amir Golroo, S. Ali Mirhassani, Amir H. Gandomi
Summary: The study aims to develop an optimization framework for network-level pavement maintenance and rehabilitation planning considering the uncertain nature of pavement deterioration and the budget with a multistage stochastic mixed-integer programming model. The proposed model can find the optimal plan feasible for all possible scenarios of uncertainty and optimize the expectation of the objective function.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2022)
Article
Construction & Building Technology
Amirhossein Fani, Hamed Naseri, Amir Golroo, S. Ali Mirhassani, Amir H. Gandomi
Summary: This study proposes a multi-stage stochastic mixed-integer programming model to address the high-level complexity of large-scale pavement maintenance scheduling problems. The findings show that the introduced approach is capable of effectively handling uncertainty in maintenance and rehabilitation problems.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Javad Rezaei, Fatemeh Zare-Mirakabad, Seyed Ali MirHassani, Sayed-Amir Marashi
Summary: This paper discusses the critical node detection problem in network robustness design, proposing a new solution and verifying its effectiveness, as well as introducing a new exact algorithm to improve the solving efficiency.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Computer Science, Hardware & Architecture
Behrooz Farkiani, Bahador Bakhshi, S. Ali MirHassani, Tim Wauters, Bruno Volckaert, Filip De Turck
Summary: This paper studies the problem of deployment and reconfiguration of a set of chains with different priorities with the objective of maximizing the service provider's profit. It proposes a MILP formulation and two solving algorithms, showing that the proposed heuristic can find a feasible solution in at least 83% of simulation runs in less than 7 seconds. The exact algorithm achieves 25% more profit 8 times faster than state-of-the-art MILP solving methods.
IEEE-ACM TRANSACTIONS ON NETWORKING
(2021)
Article
Computer Science, Interdisciplinary Applications
S. M. Mirhadi, S. A. MirHassani
Summary: This paper proposes a new algorithm for solving the linear Cardinality Minimization Problem by converting it to the sum-of-ratio problem and solving it with an optimization algorithm. The efficiency of the algorithm is demonstrated through numerical experiments.
JOURNAL OF COMBINATORIAL OPTIMIZATION
(2022)
Article
Engineering, Civil
Ahmadreza Ghaffari, Mahmoud Mesbah, Ali Khodaii, S. Ali MirHassani
Summary: This paper proposes a model to find the optimal transit priority scheme in a multimodal transportation network under uncertain demand. The model is formulated as a risk-based bi-level optimization problem and solved using an ant colony algorithm. Numerical results show that demand uncertainty has a significant impact on the solution, and the proposed model is applicable to realistic networks.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Operations Research & Management Science
Neda Beheshti Asl, S. A. MirHassani, S. Relvas, F. Hooshmand
Summary: This paper presents an efficient decomposition-based heuristic to solve a new variant of the pipeline scheduling problem, considering the impact of flow-rate stability on energy consumption. By developing a new continuous-time mixed-integer nonlinear programming model and applying decomposition technique, the proposed method is able to generate near-optimal solutions and achieve more stable flow-rates.
OPERATIONAL RESEARCH
(2022)
Article
Operations Research & Management Science
M. N. Yarahmadi, S. A. MirHassani, F. Hooshmand
Summary: This paper presents a novel method, called the feasible-finder model (FFM), to find a high-quality feasible solution for 0-1 mixed-integer programming problems. By solving a sequence of linear programming problems using an efficient ratio programming method, FFM proves to provide feasible solutions for the original MIP problem. Additionally, a quality-controlling cut is generated and added in each iteration to improve the solution quality. Computational results on CORAL and MIPLIB instances confirm the effectiveness of this method.
OPERATIONAL RESEARCH
(2023)
Article
Operations Research & Management Science
S. A. MirHassani, A. Khaleghi, F. Hooshmand
EURO JOURNAL ON TRANSPORTATION AND LOGISTICS
(2020)
Article
Engineering, Civil
F. Hooshmand, F. Amerehi, S. A. MirHassani
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2020)
Article
Mathematics, Applied
Junfeng Cao, Ke Chen, Huan Han
Summary: This paper proposes a two-stage image segmentation model based on structure tensor and fractional-order regularization. In the first stage, fractional-order regularization is used to approximate the Hausdorff measure of the MS model. The solution is found using the ADI scheme. In the second stage, thresholding is used for target segmentation. The proposed model demonstrates superior performance compared to state-of-the-art methods.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Dylan J. Oliver, Ian W. Turner, Elliot J. Carr
Summary: This paper discusses a projection-based framework for numerical computation of advection-diffusion-reaction (ADR) equations in heterogeneous media with multiple layers or complex geometric structures. By obtaining approximate solutions on a coarse grid and reconstructing solutions on a fine grid, the computational cost is significantly reduced while accurately approximating complex solutions.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Nathan V. Roberts, Sean T. Miller, Stephen D. Bond, Eric C. Cyr
Summary: In this study, the time-marching discontinuous Petrov-Galerkin (DPG) method is applied to the Vlasov equation for the first time, using backward Euler for a Vlasov-Poisson discretization. Adaptive mesh refinement is demonstrated on two problems: the two-stream instability problem and a cold diode problem.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Yizhi Sun, Zhilin Sun
Summary: This work investigates the convexity of a specific class of positive definite probability measures and demonstrates the preservation of convexity under multiplication and intertwining product. The study reveals that any integrable function on an interval with a polynomial expansion of fast absolute convergence can be decomposed into a pair of positive convex interval probabilities, simplifying the study of interval distributions and discontinuous probabilistic Galerkin schemes.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Bhagwan Singh, Komal Jangid, Santwana Mukhopadhyay
Summary: This paper examines the prediction of bending characteristics of nanoscale materials using the Moore-Gibson-Thompson thermoelasticity theory in conjunction with the nonlocal strain gradient theory. The study finds that the stiffness of the materials can be affected by nonlocal and length-scale parameters, and the aspect ratios of the beam structure play a significant role in bending simulations.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Guoliang Wang, Bo Zheng, Yueqiang Shang
Summary: This paper presents and analyzes a parallel finite element post-processing algorithm for the simulation of Stokes equations with a nonlinear damping term, which integrates the algorithmic advantages of the two-level approach, the partition of unity method, and the post-processing technique. The algorithm generates a global continuous approximate solution using the partition of unity method and improves the smoothness of the solution by adding an extra coarse grid correction step. It has good parallel performance and is validated through theoretical error estimates and numerical test examples.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Hao Xu, Zeng-Qi Wang
Summary: Fluid flow control problems are crucial in industrial applications, and solving the optimal control of Navier-Stokes equations is challenging. By using Oseen's approximation and matrix splitting preconditioners, we can efficiently solve the linear systems and improve convergence.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Zhengya Yang, Xuejuan Chen, Yanping Chen, Jing Wang
Summary: This paper focuses on the high-order stable numerical solutions of the time-space fractional diffusion equation. The Fourier spectral method is used for spatial discretization and the Spectral Deferred Correction (SDC) method is used for numerical solutions in time. As a result, a high-precision numerical discretization scheme for solving the fractional diffusion equation is obtained, and the convergence and stability of the scheme are proved. Several numerical examples are presented to demonstrate the effectiveness and feasibility of the proposed numerical scheme.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
