Article
Engineering, Chemical
Renfu Tu, Qi Liao, Liqiao Huang, Yingqi Jiao, Xuemei Wei, Yongtu Liang
Summary: Accurate estimation of remaining capacity is crucial for pipeline companies to improve their service quality and economic benefits. This study develops a mathematical model for multiproduct pipelines to obtain the optimal remaining capacity at different injection nodes during different periods. The model is validated and sensitivity analysis is conducted to identify the driving factors of the optimal remaining capacity. The comparison reveals that the tightness of delivery time has a major impact on the optimal remaining capacity, especially at downstream nodes of the pipeline. Relevant suggestions are provided to help pipeline operators make decisions based on the results.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2023)
Article
Computer Science, Interdisciplinary Applications
Zhengbing Li, Yongtu Liang, Qi Liao, Ning Xu, Jianqin Zheng, Haoran Zhang
Summary: This study focuses on the scheduling problem of branched multiproduct pipeline system under market-oriented mode, proposing a scheduling method that considers market demand uncertainty and robust inventory management. This method can effectively reduce operational costs and adjustment frequency caused by demand uncertainty, ensuring that the schedule remains feasible within a certain fluctuation range.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Chemical
Elena Khlebnikova, Kaarthik Sundar, Anatoly Zlotnik, Russell Bent, Mary Ewers, Byron Tasseff
Summary: The majority of overland transport needs for crude petroleum and refined petroleum products are met using pipelines, and optimization methods have been developed to minimize construction costs. This study aims to optimize the operations of existing liquid commodity pipeline systems, with the objectives of maximizing economic value for users and minimizing operating costs. The approach involves a general computational method for continuous, non-convex nonlinear programs, focusing on pump operating settings and flow allocations as decision variables.
Article
Engineering, Chemical
Ning Xu, Qi Liao, Zhengbing Li, Yongtu Liang, Rui Qiu, Haoran Zhang
Summary: This paper introduces a hybrid-time mixed integer linear programming model for low-energy scheduling of single-source multiproduct pipelines, which efficiently divides the time horizon into slots and initializes all time points' sequence for seeking satisfactory solutions. The model's superiority is validated by two real-world cases.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2021)
Article
Engineering, Industrial
D. Strachotova, J. Dyntar
Summary: This paper describes an efficient discrete modeling approach for multiproduct pipeline systems in the Witness simulation software environment, utilizing a simulation model consisting of six blocks and logical elements instead of physical elements. This innovative method allows for efficient simulation of bidirectional product flow in pipelines and supports scheduling in complex pipeline networks.
INTERNATIONAL JOURNAL OF SIMULATION MODELLING
(2021)
Article
Computer Science, Interdisciplinary Applications
Sergio Ackermann, Yanina Fumero, Jorge M. Montagna
Summary: This study examines the impact of order consolidation on optimizing production schemes and improving production efficiency in multiproduct multistage batch plants. By using a discrete-time mixed-integer linear programming model, simultaneous solutions to batching and scheduling problems were achieved, showing that order consolidation can reduce batch requirements and improve the utilization efficiency of plant production capacity.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
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
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
Economics
Jiajing Gao, Lu Zhen, Gilbert Laporte, Xueting He
Summary: This paper studies the scheduling problem of a truck and drone based cooperative delivery system. A mathematical model and a heuristic algorithm are proposed to minimize the total operational cost. Numerical experiments and sensitivity analyses are conducted to validate the effectiveness of the model and derive managerial implications.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
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)
Article
Environmental Sciences
Liqiao Huang, Qi Liao, Jinyue Yan, Yongtu Liang, Haoran Zhang
Summary: A detailed Life Cycle Assessment model was established to analyze carbon emissions of oil products pipeline system, with practical pipe data adopted for the case study. The study identified pipe length, diameter, and throughput as dominating factors of emissions, and provided recommendations for reducing emissions in oil product pipe transportation.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Review
Energy & Fuels
Qi Liao, Yongtu Liang, Renfu Tu, Liqiao Huang, Jianqin Zheng, Guotao Wang, Haoran Zhang
Summary: This article discusses the challenges and solutions in the petroleum pipeline industry, focusing on advancing intelligent transition and reducing carbon emissions. By systematically reviewing related literature and industrial practices, general guidelines and examples for competitiveness enhancement, energy saving, and emission reduction are summarized.
Article
Engineering, Chemical
Ayush Nema, Babji Srinivasan, Thokozani Majozi, Rajagopalan Srinivasan
Summary: Many countries are currently facing a severe water crisis. Small and medium enterprises in various industrial sectors struggle to deploy complex water-reuse strategies due to lack of instrumentation and automation. This paper proposes a simple and feasible water-reuse strategy that can result in significant water savings, as demonstrated in a textile industry case study.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2021)
Article
Computer Science, Artificial Intelligence
Amin Asadi, Sarah Nurre Pinkley, Martijn Mes
Summary: This paper studies the optimization of medical supplies distribution at a drone hub using a finite Markov decision process approach. It provides exact solutions and a reinforcement learning method for solving the problem. Computational tests and result analysis show that the reinforcement learning method performs well in drone delivery.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Thermodynamics
Qi Liao, Renfu Tu, Wan Zhang, Bohong Wang, Yongtu Liang, Haoran Zhang
Summary: This study designs a bi-level model for capacity auction of the petroleum pipeline and finds that auction leads to a profit growth of 181,545 CNY and 150,019 CNY to the pipeline company and new shippers respectively, but a decrease of 4,586 CNY to regular shippers. Different orders of offering price lead to different outcomes regarding fairness and revenue, and letting new shippers offer price first is suggested for capacity allocation.
Article
Engineering, Chemical
Hossein Mostafaei, Pedro M. Castro
Article
Computer Science, Artificial Intelligence
Mehdi Djahangiri, Alireza Ghaffari-Hadigheh
Article
Computer Science, Artificial Intelligence
Maryam Soleimani-Alyar, Alireza Ghaffari-Hadigheh
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
(2018)
Article
Management
Omid Yaghubi Agreh, Alireza Ghaffari-Hadigheh
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2019)
Article
Computer Science, Artificial Intelligence
Alireza Ghaffari-Hadigheh
Article
Engineering, Chemical
Hossein Mostafaei, Iiro Harjunkoski
Article
Engineering, Chemical
Hossein Mostafaei, Teemu Ikonen, Jason Kramb, Tewodros Deneke, Keijo Heljanko, Iiro Harjunkoski
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2020)
Article
Biochemical Research Methods
Somayeh Bakhteh, Alireza Ghaffari-Hadigheh, Nader Chaparzadeh
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
(2020)
Article
Engineering, Chemical
Iiro Harjunkoski, Teemu Ikonen, Hossein Mostafaei, Tewodros Deneke, Keijo Heljanko
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2020)
Article
Computer Science, Interdisciplinary Applications
Alireza Ghaffari-Hadigheh, Waichon Lio
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Respiratory System
Saeed Bashirian, Majid Barati, Elahe Ezati, Younes Mohammadi, Hossein Mostafaei
Summary: This study aimed to evaluate the effectiveness of an educational program for preventing hookah use among high school male students using the Prototype Willingness Model (PWM). The results showed that the educational intervention had a significant impact on reducing positive attitudes and willingness to use hookah.
Article
Computer Science, Artificial Intelligence
Alireza Ghaffari-Hadigheh
Summary: This paragraph discusses how uncertain sets can be used to describe phenomena that develop over time. It introduces the concept of an uncertain set and its variation over time. The paragraph also mentions the potential applications of uncertain sets.
Article
Management
Saied Farham-Nia, Alireza Ghaffari-Hadigheh
Summary: This paper examines the optimal pricing decision in a supply chain with a dual distribution channel, using methods such as Stackelberg game and Bertrand-Nash game combined with Uncertainty Theory. It finds that retail services play a strategic role in the supply chain, yet both the supply chain and consumers are affected by environmental uncertainty.
JOURNAL OF MODELLING IN MANAGEMENT
(2021)
Article
Mathematics, Applied
Maryam Soleimani-Alyar, Alireza Ghaffari-Hadigheh
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES
(2017)
Article
Operations Research & Management Science
Zahra Mohmmad Nejad, Alireza Ghaffari-Hadigheh
ANNALS OF OPERATIONS RESEARCH
(2018)