Article
Environmental Sciences
Amin Foroughi, Babak Farhang Moghaddam, Mohammad Hassan Behzadi, Farzad Movahedi Sobhani
Summary: Given the occurrence of numerous disasters worldwide, the design of proper and comprehensive relief logistics plans has become a priority for crisis managers and the general population. This study proposes a comprehensive framework that considers resilience, operational and disruption risks to ensure timely delivery of essential supplies to beneficiaries. The resilience parameters are obtained using a strong Best Worst Method (BWM) and uncertainty is considered at all stages of the proposed problem. Three well-known metaheuristic algorithms are used to solve the model and their performance is compared using standard multi-objective measure metrics. The results demonstrate the robustness of the proposed approaches and provide directions for future research.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Multidisciplinary
A. Bakhtiari Tavana, M. Rabieh, M. S. Phishvaee, M. Esmaeili
Summary: This study aims to select a set of resilient suppliers and ensure optimal demand allocation in an automotive supply chain. The proposed model and method consider the delivery performance of suppliers and reduce the number of disruption scenarios. The research results indicate that contingency planning and supply chain regionalization can reduce the risk of supply chain disruption.
Article
Computer Science, Interdisciplinary Applications
Zahra Sadat Hosseini, Simme Douwe Flapper, Mohammadali Pirayesh
Summary: This paper addresses the issue of sustainable supplier selection in supply chain management. It proposes a hybrid method for evaluating and ranking suppliers, and presents a bi-objective mathematical model to balance sustainability and economic cost. The proposed approach is compared with existing methods and sensitivity analysis is conducted to assess its effectiveness and advantages.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Mahdieh Tavakoli, Amirreza Tajally, Mohssen Ghanavati-Nejad, Fariborz Jolai
Summary: The study investigates customer-based sustainable-resilient supplier selection problem and proposes a Markovian-based fuzzy decision-making method. Customer preferences are evaluated using quality function deployment and Markov transition matrix, and indicator weights are calculated using the transition matrix and fuzzy best-worst method. The performance of suppliers is measured based on the decision matrix and sub-criteria weights. The study also considers an online marketplace as a case study and finds that customer preferences change during a pandemic situation.
Article
Computer Science, Artificial Intelligence
Shaohua Song, Elena Tappia, Guang Song, Xianliang Shi, T. C. E. Cheng
Summary: This study aims to optimize supplier selection and demand allocation decisions for omni-channel retailers in order to achieve supply chain resilience. It proposes a two-phase approach that takes into account various factors such as supplier evaluation and demand allocation.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Automation & Control Systems
Sina Nayeri, Mohammad Amin Khoei, Mohammad Reza Rouhani-Tazangi, Mohssen GhanavatiNejad, Mohammad Rahmani, Erfan Babaee Tirkolaee
Summary: This study focuses on the Supplier Selection and Order Allocation Problem (SSOAP) and incorporates the concepts of responsiveness, sustainability, and resilience. It proposes a Multi-Stage Decision-Making Framework (MSDMF), which incorporates a novel decision-making approach called the Stochastic Fuzzy Best-Worst Method (SFBWM), a Multi-Objective Model (MOM), a data-driven Fuzzy Robust Stochastic (FRS) optimization approach, and the developed Chebyshev Multi-Choice Goal Programming with Utility Function (CMCGP-UF). The research also considers the significance of the Medical Equipment (ME) industry, particularly during the COVID-19 pandemic. The outcomes reveal the importance of criteria such as agility, cost, GHG emission, quality, robustness, and Waste Management (WM), as well as the impact of demand and disruptions on sustainability measures.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Operations Research & Management Science
Renato de Matta, Timothy J. Lowe
Summary: Empirical studies have shown that sellers with better customer feedback scores can charge higher prices. This study builds a system model to analyze the processes of customer arrival and reservation price formation, customer feedback collection and aggregation into a Seller Service Rating (SSR), and determining the optimal pricing strategy. It uses a simulation-optimization approach to overcome technical difficulties in finding analytical solutions.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Mohammad Shafiee, Yahia Zare Mehrjerdi, Marzieh Keshavarz
Summary: This study investigates the effects of integrating lean, resilient, and sustainable practices in the supply chain network using a new multi-objective mixed-integer programming approach. The results demonstrate a synergistic effect among leanness, resilience, and sustainability in enhancing competitiveness, with sustainable backup supplier selection boosting the synergy among these three concepts.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2022)
Article
Computer Science, Artificial Intelligence
Meng Liu, Xiaolin Wang, Yupeng Li
Summary: This study develops an approach for supplier selection that integrates both fuzzy criteria and stochastic criteria to address the complexity and unstructured nature of contemporary service supplier selection problems.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2022)
Article
Operations Research & Management Science
Mohammad Hossein Dehghani Sadrabadi, Fatemeh Sabouhi, Ali Bozorgi-Amiri, Mohammad Sheikhalishahi
Summary: The problem of supplier evaluation, ranking, and selection is critically important for any organization. This study proposes a robust-stochastic data envelopment analysis model to measure the efficiency of decision-making units under uncertainty. The model is valid and reliable for evaluating the performance of suppliers in the telecom industry, can be used under uncertain conditions, and can incorporate decision-makers' varying preferences.
RAIRO-OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Wei Pu, Shuang Ma, Xiangbin Yan
Summary: In the face of fierce competition in e-commerce, e-tailers need to respond quickly to customized orders with varying frequencies and strict delivery times. To address the potential disruptions that can lead to lost sales during long-term processes, a two-stage stochastic programming model is developed, considering profits, consumer service level (CSL), and market priorities. The model optimizes the e-tailer's profits by incorporating proactive mitigation decisions, reactive recovery plans, and three resilience strategies, while also considering market priorities. Through a real case study of Chinese e-commerce during the COVID-19 pandemic, the proposed model proves its applicability and performance in improving both CSL and total profit, with the efficiency and robustness of the developed sequential particle swarm optimization with social structures algorithm. This method provides a way for e-tailers to optimize their response strategies during long-term disruptions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Psychology, Multidisciplinary
Xiaofang Yi, Junaid Ul Haq, Shehzad Ahmed
Summary: The purpose of this study was to investigate the impact of consumer participation, value co-creation, and customer resilience on consumer wellbeing. The study found that service climate has an interaction effect in this context. Data were collected from 490 hotel customers and structural equation modeling was used for hypothesis testing. The results showed that customer participation positively influenced customer wellbeing both directly and indirectly. Additionally, customer resilience and value co-creation partially mediated the relationship between customer participation and customer wellbeing. Service climates were found to strengthen the relationship between customer participation and resilience/value co-creation. Theoretical and practical implications were discussed.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Management
Rui Zhou, Tanveer Hossain Bhuiyan, Hugh R. Medal, Michael D. Sherwin, Dong Yang
Summary: This paper investigates the selection of optimal supplier development programs to improve supplier performance and proactively reduce supplier risks for a manufacturer with a limited budget. The study finds that increasing the budget leads to higher profit growth, while increasing the number of available SDPs at lower budget levels results in more profit growth. The research also highlights the importance of considering uncertainty in supplier performance and multiple supplier risks for the firm.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Engineering, Industrial
Marcello M. Mariani, Matteo Borghi
Summary: This study examines the impact of AI-empowered service operations on customer satisfaction. The findings reveal that positive customer interaction with mechanical AI positively influences overall customer satisfaction, while negative customer interaction with mechanical AI does not significantly alter customer satisfaction.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Florian Wissuwa, Christian F. Durach, Thomas Y. Choi
Summary: The selection of suppliers has a long-term impact on the performance of the buying firm. This study explores the previously unnoticed criterion of supplier complexity and its relationship with buyer disruptions. The results suggest that complex suppliers, both internally and in collaboration with other suppliers, increase the number of disruptions experienced by the buyer, although a high degree of supplier dependence can dampen this effect.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Asefeh Hasani Goodarzi, Eleen Diabat, Armin Jabbarzadeh, Marc Paquet
Summary: This study focuses on the vehicle routing problem in a multi-door cross-docking system, using a queuing approach to handle the uncertainty of truck arrivals. By proposing an M/M/c queuing formulation to model the environment and scheduling the pickup process of vehicles, it is found that considering a queuing approach can considerably improve the waiting time of trucks in the queue.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Economics
Yuxiang Yang, Shadi Goodarzi, Armin Jabbarzadeh, Behnam Fahimnia
Summary: This paper examines a supply chain with manufacturers and overseas suppliers facing different carbon tax rates and presents an equilibrium decision model for in-house production and outsourcing. Numerical examples analyze the impact of carbon tax rates and consumer's carbon awareness on production and outsourcing decisions, providing important managerial insights and implications for carbon policies.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Editorial Material
Engineering, Industrial
Mehrdokht Pournader, Philipp C. Sauer, Behnam Fahimnia, Stefan Seuring
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Computer Science, Artificial Intelligence
Ghazaleh Divsalar, Ali Divsalar, Armin Jabbarzadeh, Hadi Sahebi
Summary: This paper investigates the Multi-Objective Multi-Modal Green Tourist Trip Design Problem, proposes a mixed-integer linear model, and designs solutions for different types of tourists. The performance and effectiveness of the results are evaluated in this study.
Article
Green & Sustainable Science & Technology
Amirhossein Salehi-Amiri, Navid Akbapour, Mostafa Hajiaghaei-Keshteli, Yuvraj Gajpal, Armin Jabbarzadeh
Summary: This paper presents a study on waste management systems based on the Internet of Things concept. Two sub-models are developed to monitor real-time waste levels and determine collection routes and priorities. The issues of waste separation and maximizing recovery value are also considered. State-of-the-art meta-heuristic algorithms are utilized for testing and sensitivity analysis is conducted.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Economics
Saman Eskandarzadeh, Behnam Fahimnia
Summary: Carriers and postal companies face pressure to reduce costs and increase efficiency. One way to achieve this is by improving rest break policies to make better use of drivers' working hours. We developed a framework to analyze rest break policies and compared two representative policies using data from an Australian postal carrier.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Computer Science, Interdisciplinary Applications
Mohammad Mahdi Vali-Siar, Emad Roghanian, Armin Jabbarzadeh
Summary: This study addresses the problem of resilient mixed open and closed-loop supply chain network design and proposes a model with the objective of maximizing profit. To mitigate disruption risks, several resilience strategies are applied, and a two-stage stochastic programming approach is used. Constructive heuristic and metaheuristic methods (improved genetic algorithm and improved particle swarm optimization) are developed to deal with the problem's complexity. The results show the effectiveness of the proposed methods, and the analysis demonstrates the remarkable impact of resilient strategies on reducing risks and maintaining market share.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Huashan Li, Mehrdokht Pournader, Behnam Fahimnia
Summary: This study examines the impact of service-oriented business model diversification (servitization) on organizational resilience during the COVID-19 outbreak. The findings show an inverse relationship between servitization and organizational resilience, with manufacturing firms with more revenue from service businesses experiencing greater stock price loss and longer recovery time. The impact is more significant for firms providing product-oriented services. This study expands our understanding of the negative consequences of servitization on organizational resilience during major disruptions.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Computer Science, Artificial Intelligence
Amirhossein Salehi-Amiri, Armin Jabbarzadeh, Mostafa Hajiaghaei-Keshteli, Amin Chaabane
Summary: Home Health Care (HHC) is increasing in demand in developing countries, and the IoT system can effectively optimize the services provided.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Management
Behnam Fahimnia, Meysam Arvan, Tarkan Tan, Enno Siemsen
Summary: Demand planning is influenced by demand forecasts, service level requirements, replenishment constraints, and revenue projections. This research investigates if forecasters recognize the difference between demand forecasts and demand plans, and finds that they factor service levels into their forecasts, even with explicit instructions to predict the most likely demand. This behavior is driven by the service level information and holds true for both students and practitioners.
JOURNAL OF OPERATIONS MANAGEMENT
(2023)
Review
Transportation
Milad Haghani, Rico Merkert, Ali Behnood, Chris De Gruyter, Khashayar Kazemzadeh, Hadi Ghaderi, Zahra Shahhoseini, Vinh Thai, Elnaz Irannezhad, Behnam Fahimnia, S. Travis Waller, David A. Hensher
Summary: In response to the COVID-19 pandemic, scholars have actively addressed its far-reaching societal problems. A new field of transportation science has quickly emerged, focusing on mobility restrictions during the pandemic. This study examines over 400 COVID-19-related studies published in transportation journals between 2020 and 2021, aiming to scope this newly developed research area, outline its diversity, and provide a roadmap for future research. The results show that the COVID-19 segment has developed its own knowledge foundation independent of pre-pandemic studies, and its potential impacts on transportation journals are quantified and discussed.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Management
Hossein Jahandideh, Kevin McCardle, Christopher Tang, Behnam Fahimnia
Summary: This paper examines a firm's decisions regarding production and sales of age-based products that increase in value over time, such as whisky, wine, and cheese. The firm considers introducing a new product by setting aside some of its production for longer aging. The firm needs to determine if and when to sell different ages of products as partial substitutes. For deterministic and stochastic market size scenarios, the optimal fraction of production reserved for additional aging is analyzed, as well as the effects of deterministic yield loss on the production process.
Article
Computer Science, Artificial Intelligence
Mansoureh Hasannia Kolaee, Armin Jabbarzadeh, Seyed Mohammad Javad Mirzapour Al-e-hashem
Summary: This paper presents a multi-objective group tourist planning problem that considers economic, environmental, and social dimensions simultaneously, aiming to balance the three objectives by minimizing total cost and environmental impacts while maximizing total collected prizes from tourists' interests.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Pejman Peykani, Fatemeh Sadat Seyed Esmaeili, Mirpouya Mirmozaffari, Armin Jabbarzadeh, Mohammad Khamechian
Summary: The purpose of this study is to provide an efficient method using the DEA approach and Shannon entropy technique to select input-output indicators in order to improve the evaluation and performance analysis of decision-making units in the presence of negative values and data. The study shows that the proposed DEASE approach is effective and has greater discriminatory power than the classic DEA model in evaluating stocks.
MACHINE LEARNING AND KNOWLEDGE EXTRACTION
(2022)
