Article
Computer Science, Interdisciplinary Applications
Hadi Gholizadeh, Hamed Jahani, Ahmad Abareshi, Mark Goh
Summary: This paper enhances the augmented epsilon-constraint approach with linearization using robust optimization and heuristics to maximize the total profit and minimize environmental effects of a sustainable closed-loop supply chain (CLSC) in the dairy industry. The study demonstrates that applying heuristic methods to large-scale problems can improve runtime by 25%. Additionally, the analysis shows that products with longer lifetimes can yield greater profits in worst-case scenarios compared to products with shorter lifetimes in optimistic scenarios.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Jianfeng Lu, Xiaoxia Wang, Jiahong Zhao
Summary: This study proposes a method to collaboratively optimize emergency material allocation and scheduling from the perspective of risk to reduce the storage risk of hazardous chemicals in emergency networks. The research utilizes risk assessment and a bi-level programming model to minimize the total cost and risk, and designs a solution method based on the Karush-Kuhn-Tucker condition and an augmented epsilon-constraint method.
Article
Chemistry, Multidisciplinary
Mohammadamin Zarei, Ali Cherif, Ha-Jun Yoon, J. Jay Liu, Chul-Jin Lee
Summary: Due to the scarcity of fossil fuels and environmental concerns, renewable energy sources have gained attention. In this study, multi-objective function optimization was used to design a sustainable biofuel supply chain based on greenhouse gas emissions and cost. The results show that the sustainable solution has a cost of $6.63 per gallon of gasoline-equivalent and emits 674.83 grams of CO2-equivalents per gallon of gasoline-equivalent.
Article
Computer Science, Artificial Intelligence
Nengmin Wang, Wei Cui, Meng Zhang, Qi Jiang
Summary: The routing optimization for medical waste collection significantly impacts the efficiency and safety of medical waste disposal. Due to the infectivity and large volume of medical waste, multiple disposal centers have been established. This study proposes a bi-objective routing optimization model for medical waste collection based on a two-commodity formulation, considering multiple disposal centers and catastrophe avoidance. The proposed solution method, which incorporates an e-constraint method and an improved solution process, efficiently obtains the entire Pareto front and can handle large-scale instances.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Chemistry, Physical
Vahid Sohrabi Tabar, Mehdi Ahmadi Jirdehi, Ahmad Rezaee Jordehi
Summary: This paper proposes a cooperative planning approach for integrated electricity and gas grids, considering uncertainties and flexible loads. The joint scheduling is optimized using a risk-constrained multi-objective programming method and a robust augmented epsilon constraint method. The simulations demonstrate that the presented approach achieves a good equilibrium between both networks, improves robustness, and reduces costs with the inclusion of responsive loads.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Huali Sun, Yang Wang, Yaofeng Xue
Summary: This paper presents a bi-objective robust optimization model for strategic and operational response in emergency situations, considering uncertainties in facility location, resource allocation, and casualty transportation plans. The model aims to minimize the sum of ISS for all casualties and total system costs, while maximizing the transport number of casualties and satisfaction of supplies demand. Through robust optimization and case studies based on the Yushu Earthquake, the feasibility and validity of the model is demonstrated, along with sensitivity analyses to balance optimization and robustness.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Elham Abdollahi Saadatlu, Farnaz Barzinpour, Saeed Yaghoubi
Summary: Economic development and urbanization have led to an increase in municipal solid waste (MSW), resulting in environmental problems such as greenhouse gas emissions and global warming. This study proposes a sustainable network design model for MSW management by optimizing the combination of transfer stations, separation units, waste to energy (WTE) facilities, and waste flow allocation. The model addresses uncertainties in waste generation and uses a two-stage stochastic programming approach to minimize network costs and global warming potential. The social objective function maximizes job opportunities from facility construction. The results show that WTE facilities and waste separation help reduce global warming potential.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Energy & Fuels
Xi Wang, Paul Henshaw, David S-K Ting
Summary: This study optimized the exergy efficiency and levelized cost of energy for a thermoelectric generator using the PSO method, finding the best solution through the M-PSO algorithm. By employing the TOPSIS method, a balance between exergy efficiency and LCOE was achieved to obtain the ideal solution.
Article
Economics
Afshin Kamyabniya, Zohre Noormohammadzadeh, Antoine Saure, Jonathan Patrick
Summary: This paper proposes a fully integrated logistics network for sharing multi-type platelets in disaster relief operations, considering suitability for different types of injuries and the age of platelets. By using Lagrangian relaxation and the augmented epsilon-constraint method, the model efficiently solves the problem and generates a Pareto front for large-scale instances and multiple scenarios.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Computer Science, Interdisciplinary Applications
Seyed Babak Ebrahimi, Ehsan Bagheri
Summary: This study designs a multi-echelon network for oil and gas supply chain and formulates a biobjective mathematical model to optimize profit and reliability. The proposed model is validated through a real-world case study and sensitivity analysis, demonstrating its effectiveness and feasibility.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Oceanography
Wenyuan Wang, Bochi Liu, Yun Peng, Zhonglian Jiang
Summary: This study proposes a robust optimization approach to design a buoy network for monitoring air pollution in port water areas. A bi-objective robust optimization model is developed to maximize monitoring capacity and minimize costs, considering stochastic ship exhaust emissions and wind conditions. The study also presents a method for constructing stochastic scenarios and a solution algorithm to solve the model. The results show the effectiveness of the proposed approach in improving monitoring capacity and cross-scenario robustness. This study provides insights and methods to help maritime and environmental authorities manage ship emissions in port and coastal regions.
OCEAN & COASTAL MANAGEMENT
(2023)
Article
Engineering, Multidisciplinary
Reza Lotfi, Zahra Yadegari, Seyed Hossein Hosseini, Amir Hossein Khameneh, Erfan Babaee Tirkolaee, Gerhard-Wilhelm Weber
Summary: This study investigates the time-cost-quality-energy environment problem in executing projects and proposes a robust nonlinear programming model to consider sustainability and uncertainties. A case study of a bridge construction project in Iran is used to demonstrate the implementation capability of the proposed model.
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
(2022)
Article
Green & Sustainable Science & Technology
Jun Keat Ooi, Kok Sin Woon, Haslenda Hashim
Summary: Municipal solid waste (MSW) management in Malaysia currently heavily relies on open landfills without energy recovery, leading to high costs and greenhouse gas emissions. A novel multi-objective mixed-integer linear programming model is proposed to optimize waste processing facilities allocation, achieving cost and GHG emissions reduction simultaneously.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Automation & Control Systems
Alessandro Falsone, Maria Prandini
Summary: This paper proposes a novel Augmented Lagrangian Tracking distributed optimization algorithm for solving multi-agent optimization problems. The algorithm features a constant penalty parameter, the ability to cope with unbounded local constraint sets, and the ability to handle both affine equality and nonlinear inequality coupling constraints.
Article
Engineering, Environmental
M. Azam Ali, Maree Gould
Summary: The First Industrial Revolution saw a shift to machine-based production fueled by fossil fuels and steam, creating pollution and waste management challenges. Current scientific methods are needed to safely dispose of waste and maximize resource utilization, including converting waste into valuable products. Natural biomacromolecules show promise in various biomedical applications due to their unique properties.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Operations Research & Management Science
Zahra Homayouni, Mir Saman Pishvaee, Hamed Jahani, Dmitry Ivanov
Summary: This article investigates sustainability strategies for carbon regulation mechanisms and proposes a multi-objective programming model to support decision-making in supply chains. The study finds that governmental incentives for carbon cap-and-trade policies can effectively reduce pollution in supply chains.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Operations Research & Management Science
Sajjad Rahmanzadeh, Mir Saman Pishvaee, Kannan Govindan
Summary: This paper introduces the concept of Open Supply Chain Management (OSCM), which aims to improve efficiency and flexibility in the main processes of the supply chain through resource integration. To validate OSCM, the integration of the design process with supply chain production planning is investigated, with a case study in the clothing manufacturing industry. The results show that the design cost is a small proportion of the total supply chain cost.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Cybernetics
Sara Nodoust, Mir Saman Pishvaee, Seyed Mohammad Seyedhosseini
Summary: The research explores the complexity of demand uncertainty in distributing relief items after earthquakes through a robust scenario-based possibilistic-stochastic programming model. Results demonstrate a significantly higher demand satisfaction level compared to traditional scenario-based stochastic programming models.
Article
Operations Research & Management Science
Mehdi Alizadeh, Mir Saman Pishvaee, Hamed Jahani, Mohammad Mahdi Paydar, Ahmad Makui
Summary: In this study, a viable healthcare network design for a pandemic is developed using a multi-stage stochastic approach. The proposed multi-level network includes health centers, computed tomography scan centers, hospitals, and clinics, and aims to maximize patient recovery probability, minimize network costs, and reduce the Coronavirus death rate. An investigation of a real case study in Iran demonstrates the model's applicability and provides a comparison between healthcare supply chain network design in a pandemic and a normal situation.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Laya Olfat, Mir Saman Pishvaee
Summary: The Closed-Loop Supply Chain Network Design (CLSCND) addresses the economic and environmental issues of returned products, which is a significant decision problem accompanied by uncertainty. This study proposes a novel flexible, probabilistic, and stochastic programming approach based on robust optimization with a focus on the Me measure. Simulation and evaluation of the results demonstrate that the suggested model performs well.
APPLIED SOFT COMPUTING
(2023)
Article
Green & Sustainable Science & Technology
Zahra Alidoosti, Ahmad Sadegheih, Kannan Govindan, Mir Saman Pishvaee
Summary: In a circular economy, municipal solid waste will be used as a resource, requiring the design of a product-oriented waste management network. The production of diverse bioenergies is crucial, making it necessary to study the waste management network. A sustainable waste management network was designed to extract various bioenergies, considering economic, environmental, and social sustainability under uncertain conditions. The proposed model used a multi-objective possibilistic mixed-integer non-linear programming approach and interactive fuzzy programming methods to handle uncertainty.
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY
(2023)
Article
Computer Science, Artificial Intelligence
Sajjad Rahmanzadeh, Mir Saman Pishvaee, Mohammad Reza Rasouli
Summary: This paper explores the impact of the open innovation concept on product design and supply chain master planning. The study considers complex uncertainties in co-design processes, financial challenges, and integration of innovative designs with supply chain planning. A robust fuzzy-stochastic optimization model is proposed to integrate product design and supply chain activities, accounting for different types of uncertainties. The model's contributions include integrating financial and physical flows, using a novel pricing mechanism, and considering external innovations. Results show the superiority of the model in supporting managerial decisions in mid-term planning.
Article
Engineering, Civil
Ali Katebi, Mir Saman Pishvaee, Ali Mohebalizadeh, Ashkan Pazhuhandeh, Bahareh Katebi
Summary: This study proposes a robust optimization approach to modify the programming model of earthwork allocations in road construction. The model considers uncertainties in borrow pit and disposal site capacities and earthwork costs, aiming to minimize project costs while mitigating problem-based constraints. The results show that the robust model ensures feasible solutions with minimized constraint violations and deviations from optimality when there are changes in the input within a given range.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING
(2023)
Article
Energy & Fuels
Abolfazl Rasekh, Farhad Hamidzadeh, Hadi Sahebi, Mir Saman Pishvaee
Summary: Nowadays, the world is facing a major challenge due to population growth, rising global energy demand, increasing water consumption, carbon emissions, and excessive use of fossil fuels. Biomass is considered as one of the most attractive energy sources with positive effects on the economy, environment, and society. Therefore, the design of biomass supply chain networks has gained more attention. Additionally, studying the water-energy-carbon (WEC) nexus is essential for society's sustainable development.
ENERGY SCIENCE & ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Amir Arabsheybani, Alireza Arshadi Khamseh, Mir Saman Pishvaee
Summary: Traditional supply chain designers have not taken environmental factors into account during the design process. However, environmental protection is an important criteria that needs to be evaluated according to global regulations. Perishable items in the food supply chain have limited shelf life and contribute to significant waste, affecting both profit and environmental criteria. Two main solutions to decrease waste are improving packaging and optimizing planning. This study proposes a mathematical model that incorporates efficient biodegradable nano-silver packaging and multi-objective optimization to maximize profit and minimize carbon emissions. The results show that reducing carbon emissions is possible without increasing costs, and using nano-silver packaging positively impacts profit and environmental sustainability.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Energy & Fuels
Shayan Mohseni, Mir Saman Pishvaee, Reza Dashti
Summary: This paper proposes a data-driven two-level transactive energy management framework to address the main issues of trading mechanism design, uncertainty treatment, and privacy protection in networked microgrids. The framework involves determining optimal strategies for internal scheduling and external trading, as well as fair allocation of trading benefits. The uncertainties of renewable energy sources are captured using a robust optimization approach with a robust kernel density estimation (RKDE) technique. The proposed model is solved in a distributed manner using the alternating direction method of multipliers (ADMM) and the augmented Lagrange-based alternating direction inexact Newton (ALADIN) algorithms.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Computer Science, Artificial Intelligence
Amin Reza Kalantari Khalil Abad, Farnaz Barzinpour, Mir Saman Pishvaee
Summary: This study establishes a decision-making framework for industrial activities during global shocks and transformations, such as the COVID-19 pandemic, and introduces a new type of uncertainty called deep dynamic uncertainty. By using a Mixed-Integer Linear Programming model and an Augmented Adjustable Column-Wise Robust Optimization algorithm, the study effectively deals with demand uncertainty during the COVID-19 outbreak.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Interdisciplinary Applications
Amin Reza Kalantari Khalil Abad, Farnaz Barzinpour, Mir Saman Pishvaee
Summary: This study proposes a novel biobjective model for the design of a green closed-loop pomegranate supply chain based on the value chain to ensure food security and maximize the benefits of circular economy. A thermochemical conversion process and a hybrid risk-neutral and risk-averse multi-stage stochastic programming approach are developed to address supply uncertainty. The proposed approach is validated using the expected value of perfect information and value of stochastic solution metrics. A real case study in Iran demonstrates the applicability of the model, showing savings of up to 1% and 1.76% in worst-case cost compared to the deterministic model based on the value of stochastic solution metric.
COMPUTERS & CHEMICAL ENGINEERING
(2023)
Article
Engineering, Industrial
Omid Abdolazimi, Mir Saman Pishvaee, Mohammad Shafiee, Davood Shishebori, Junfeng Ma, Sarah Entezari
Summary: During COVID-19, blood shortages occurred due to reduced donations, and optimising blood use through a reliable supply chain network becomes crucial. This study addresses the gap in existing research and proposes an efficient heuristic approach to solve the problem.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Operations Research & Management Science
Alireza Paeizi, Ahmad Makui, Mir Saman Pishvaee
Summary: Food waste and its proper management pose significant challenges in supply chain network management. This study proposes a comprehensive inventory-routing model that considers the value fluctuation of products over time and uses a multi-stage stochastic programming approach. By incorporating the randomness of market demands and the impacts of each period on the next, the model enables chain stores to make informed decisions in inventory management and distribution, resulting in cost savings.
RAIRO-OPERATIONS RESEARCH
(2023)
