Article
Computer Science, Interdisciplinary Applications
Atieh Mohammadkhani, Seyed Meysam Mousavi
Summary: This paper presents a novel approach for selecting the most preferred reverse logistics provider by considering the uncertainty associated with decision variables. The method utilizes a comprehensive stochastic compromise solution and integrates a new multi-attribute group decision-making framework. In the proposed framework, the CRITIC method is used to calculate attribute weights, and the innovative compromise solution evaluates decision-makers and alternatives simultaneously. The approach provides flexibility and reliability in the decision-making process.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Environmental Sciences
M. A. Ilgin
Summary: This article addresses the decision problem of order quantities in reverse logistics outsourcing and proposes an evaluation method that combines linear physical programming and fuzzy programming. Alternative third-party reverse logistics providers are ranked based on decision makers' preferences and suitable order quantities are determined. The proposed method is validated through a numerical example and provides managerial insights.
JOURNAL OF ENVIRONMENTAL INFORMATICS
(2022)
Article
Management
Mbali Cynthia Valashiya, Rose Luke
Summary: This study evaluated the enhancement of information sharing practices with third party logistics service providers (3PLs). The findings showed that information sharing improves collaboration, competitive advantage, and customer service. Improving relationships and adopting continuous technological upgrades are recommended for better supply chain management.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Rui Li, Xin Chen
Summary: Reverse logistics is gaining attention due to environmental concerns and economic impacts. This paper studies the design of third-party reverse logistics networks under uncertain disruptions, using a risk-averse two-stage stochastic programming model with risk measures such as value at risk and conditional value at risk.
Article
Management
Shengya Hua, Shuxiao Sun, Zhongyi Liu, Xin Zhai
Summary: The study explores the impact of 3PL financing on retailer orders and profits, as well as the benefits to suppliers from larger orders. It also suggests that retailers with adequate working capital can benefit more from 3PL financing due to lower costs. Additionally, the study shows that when the 3PL takes the lead, the retailer and 3PL benefit while the supplier may suffer.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Review
Green & Sustainable Science & Technology
Mohamed Rafik Noor Mohamed Qureshi
Summary: Third-party logistics service providers play a crucial role in achieving sustainability in supply chain management. The selection of these providers must take into account various criteria and modelling techniques have been applied to evaluate and select them. A bibliometric analysis of 132 articles from 2001 to 2022 reveals that India, Turkey, Taiwan, China, and the USA are the top countries engaged in research. The top three journals in terms of research publications are International Journal of Logistics Systems and Management, Benchmarking, and Expert Systems with Applications. Fuzzy-based, AHP, and TOPSIS are the most commonly used research methodologies for solving 3PL selection problems. The developed selection models have high applicability in various industries.
Article
Management
Martina Baglio, Sara Perotti, Fabrizio Dallari, Alessandro Creazza
Summary: In recent years, the logistics outsourcing market has significantly expanded, driving the growth of the logistics real estate sector. The logistics real estate seems relatively prepared to support the needs of the 3PL industry, but such alignment could be further strengthened through investments in environmental sustainability and warehouse automation.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2022)
Article
Engineering, Industrial
Rebecca Stekelorum, Issam Laguir, Shivam Gupta, Sameer Kumar
Summary: This study utilizes fuzzy-set qualitative comparative analysis to examine the impact of different combinations of internal and external green supply chain management practices on third-party logistics providers' operational and financial performances. The findings suggest that combined GSCM practices can improve both aspects, with varying effects on small and large TPLs depending on the specific combinations.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Engineering, Industrial
Andreas Ekeskar, Martin Rudberg
Summary: Suppliers and transport service providers play important roles in construction logistics setups. They hold positive attitudes towards third-party logistics and actively address supply chain management issues. However, the actual effects of the construction logistics setup on upstream actors are inconclusive.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Computer Science, Interdisciplinary Applications
Sunil Kumar Jauhar, Saman Hassanzadeh Amin, Hossein Zolfagharinia
Summary: This research focuses on reverse logistics in the field of EOL electronic products, with a particular emphasis on how to select third-party reverse logistics partners and allocate orders to them. By combining data envelopment analysis (DEA) with a differential evolution (DE) algorithm, the discriminatory power of 3PRLPs' efficiency is enhanced, and a multi-objective model is proposed to allocate orders to these partners.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Mohamed Abdel-Basset, Abduallah Gamal, Mohamed Elhoseny, Ripon K. Chakrabortty, Michael Ryan
Summary: Reverse logistics involves the gathering and redeployment of goods from consumers to manufacturers for reutilization, disposal, or remanufacturing, posing challenges in social, environmental, risk, and safety aspects of sustainable development. A novel hybrid multiple-criteria decision-making framework can help businesses select the most suitable third-party reverse logistics providers.
Article
Economics
Jordan M. Barker, Andrew R. Gibson, Adriana R. Hofer, Christian Hofer, Issam Moussaoui, Marc A. Scott
Summary: Third-party logistics providers (3PLs) diversify their service portfolios to meet the increasing expectations of shippers, with peer 3PLs introducing new services driving focal 3PLs to expand their offerings. This relationship is stronger when there is greater similarity between the service portfolios of the focal firm and its peers.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Management
Ilias Vlachos, Vasiliki Polichronidou
Summary: This study examines the role of third-party logistics providers (3PLs) in supply chain triads through the use of four established theories. The findings reveal that 3PLs have different roles as service developers, customer adaptors, and customer developers in different supply chain triads.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Wenliang Bian, Xiqing Yang, Shichang Li, Xiying Yang, Guowei Hua
Summary: In response to the global spread of COVID-19, establishing a robust healthcare supply chain system is crucial, with third-party logistics providers serving as orchestrators. Research shows that the positive impact of 3PLs is evident in decentralized supply chains characterized by high logistics outsourcing costs and price sensitivity.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Jhulaneswar Baidya, Harish Garg, Abhijit Saha, Arunodaya Raj Mishra, Pratibha Rani, Debjit Dutta
Summary: This paper presents an integrated MULTIMOORA algorithm for evaluating multi-criteria decision-making problems with bipolar complex fuzzy sets, aiming to eliminate the influence of extreme evaluating criteria values from biased experts and achieve good stability.
COMPLEX & INTELLIGENT SYSTEMS
(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
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)
Review
Computer Science, Interdisciplinary Applications
Tahereh Haghpanah, Mohammad Amin Sobati, Mir Saman Pishvaee
Summary: Microalgae have potential as feedstock for biofuels and other value-added products, but the variety in processing pathways is a challenge for commercialization. The superstructure optimization method is a promising solution, and this study reviews past research and identifies future research directions in microalgae-based bio-refinery process synthesis, focusing on the superstructure optimization approach. The study categorizes relevant papers based on feedstocks, end products, mathematical models, objective functions, sustainability, solution methods, and economic and environmental analysis, and describes existing research gaps.
COMPUTERS & CHEMICAL ENGINEERING
(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)