Article
Economics
Xiaoting Shang, Guoqing Zhang, Bin Jia, Mohammed Almanaseer
Summary: Motivated by a real-world healthcare supply case, this paper examines a supply network configuration problem that integrates warehouse selections, inventory policy, and delivery routing optimization. It proposes deterministic and robust optimization models to address uncertain demand and considers the impact of COVID-19 pandemic. Numerical experiments and a real-world case study provide insights into the proposed models.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Operations Research & Management Science
Prashant Premkumar, P. N. Ram Kumar
Summary: This paper proposes a linear mathematical model for the locomotive assignment problem, integrating the strategic, tactical, and operational aspects of LAP. By adding a valid inequality, the lower bounds are substantially improved, resulting in a significant reduction in solution times. The paper also develops a heuristic algorithm based on Dijkstra's algorithm to test problem instances and compare solution times and quality.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Economics
Yanzi Zhang, Ali Diabat, Zhi-Hai Zhang
Summary: Closed-loop supply chains (CLSCs) are complex networks with higher uncertainties compared to traditional supply chains. This study focuses on a reliable location-inventory problem in CLSC considering the mutual effects between failures of co-located forward and reverse distribution centers (DCs). A decomposition approach based on the outer approximation (DOA) algorithm is proposed to address the nonconvex mixed-integer programming problem.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Management
Xi Li, Yanzhi Li, Ying-Ju Chen
Summary: The study examines the effects of strategic inventory in the context of chain-to-chain competition, finding that the role of strategic inventory may be altered or even reversed under such competition. Retailers may increase inventory levels in fiercer competition, intensifying supply chain competition. A prisoner's dilemma can arise in supply chain competition, where manufacturers cannot avoid strategic inventory despite it being potentially harmful.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Engineering, Chemical
Oluwadare Badejo, Marianthi Ierapetritou
Summary: This article introduces proactive and reactive strategies for supply chain disruptions and proposes a model to aid decision-making. The model considers the dynamics of the supply chain and uses a discrete time-expanded model and a rolling horizon framework to solve the problem. The results suggest that node disruptions have a more significant impact on the supply chain, and the initial network configuration limits node flexibility. Additionally, the results show that the supply chain operates efficiently, balancing service level and total operating cost.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Yixuan Wang, Nuo Wang, Peixiu Han
Summary: This study proposes a model that integrates island supply chain network design and periodic freight demand, and develops a bi-level parallel genetic algorithm to solve this model. The results of the numerical analysis demonstrate the effectiveness of this approach, and a sensitivity analysis is conducted to understand the impact of different parameters on the total cost.
COMPUTERS & OPERATIONS RESEARCH
(2023)
Article
Economics
Li Luo, Jim O'Hehir, Courtney M. Regan, Li Meng, Jeffery D. Connor, Christopher W. K. Chow
Summary: The research demonstrates that integrating strategic forest management and tactical sawmill operations can improve overall planning and increase the net present value of the enterprise. The results highlight the economic benefits of an integrated planning approach and its support for forest managers' decision-making.
FOREST POLICY AND ECONOMICS
(2021)
Article
Management
Lucy Gongtao Chen, Weijia Gu, Qinshen Tang
Summary: This paper investigates the roles of strategic inventory in a system with two parallel supply chains under both full bargaining and partial bargaining. The results indicate that under full bargaining, only one of the chains carries strategic inventory and benefits from it, but the overall system performance is worse off. Under partial bargaining, the retailer in a supply chain always carries inventory when his bargaining power is small and the inventory holding cost is low. The study challenges the conventional wisdom about strategic inventory and highlights the different strategic roles it plays in different bargaining scenarios.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Tesfayesus Mamo, Ludovic Montastruc, Stephane Negny, Lemma Dendena
Summary: The optimization of supply chain is an active research subject in process system engineering, and it often involves large Mixed Integer Linear or Non-Linear Problems in realistic industrial cases. However, very few papers cover all three decision levels - strategic, tactical, and operational - to have a holistic perspective of the supply chain. This paper aims to finely model the three decision levels, with a focus on the transport-related decision, and to develop a novel iterative multi-scale strategy to optimize the model.
COMPUTERS & CHEMICAL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Jin Xin Cao, Zongxi Zhang, Yuguang Zhou
Summary: This paper integrates facility location and vehicle routing problems in biomass supply chains into a single problem, and proposes a hierarchical heuristic algorithm based on Tabu Search to address the computational complexity of LRP-BSCs. Computational examples demonstrate the effectiveness and efficiency of the proposed approach.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Business
Reza Eslamipoor
Summary: Carbon emission policies should be considered as a separate objective function in supply chain modeling, and a multiobjective optimization method can be used to minimize the function.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Computer Science, Artificial Intelligence
Badr Afify, Andrei Soeanu, Anjali Awasthi
Summary: This paper presents a novel integer programming formulation for the capacitated Facility Location Problem under disruption, namely the Reliable Capacitated Facility Location problem. The proposed solution involves linearization of the model and iterative approach for fortification budget allocation. A case study is used to illustrate the approach and benchmark results are provided.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Mathematics
Ao Lv, Baofeng Sun
Summary: This paper proposes a unified framework that addresses the transportation capacity issue in auto parts supply logistics by considering the location-inventory-routing problem. By establishing distribution centers and optimizing the location, inventory, and routing decisions, it is possible to reduce the total system cost and carbon emissions.
Article
Management
B. Gerrits, E. Topan, M. C. Van Der Heijden
Summary: This study aims to improve the performance of multi-echelon, closed loop spare part supply chains through operational interventions based on real-time status information. Proactive interventions, including lateral transshipments, emergency shipments, stock reservations, expediting part repairs, and early new buys of parts, are found to have the most impact in reducing costs. Communicating losses in the supply chain for early new buys has a positive impact on fill rates at negligible costs. Expedite repair and stock reservations using the proposed rules are not profitable. The results are based on simulation experiments using data from a global IT company in Germany.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Operations Research & Management Science
Hamzeh Amin-Tahmasbi, Sina Sadafi, Banu Y. Ekren, Vikas Kumar
Summary: This study proposes a mixed-integer multi-objective integrated mathematical model for solving facility location and order allocation optimization problems in a two-echelon supply chain network. The model considers multiple objective functions, including cost minimization, rejected and late delivery unit minimization, and maximization of the assessment score of selected suppliers. This study is significant for cost-efficient management of companies' supply chain networks.
ANNALS OF OPERATIONS RESEARCH
(2023)
Review
Management
Reza Zanjirani Farahani, M. M. Lotfi, Atefe Baghaian, Ruben Ruiz, Shabnam Rezapour
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2020)
Article
Management
Shabnam Rezapour, Reza Zanjirani Farahani, Nazanin Morshedlou
Summary: This research examines the impact of timing of post-warning and pre-disaster stock prepositioning decisions on disasters with advance warning, such as hurricanes. It develops a stochastic optimization model to determine the best trigger time for preparedness activities and response operations, finding that delaying trigger time can result in nonlinear reduction in total logistics cost and nonlinear increase in minimum response time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
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)
Article
Engineering, Industrial
Shadi Goodarzi, Andrea Masini, Sam Aflaki, Behnam Fahimnia
Summary: This paper examines the impact of information on sustainable technology adoption behavior and decisions. The research challenges the notion that providing more information always supports the adoption of environmental technologies, highlighting the different effects of various information types and channels on customers' intention to adopt and their actual purchasing decisions. The findings suggest that only information obtained from unbiased third party sources favors adoption, emphasizing the critical implications for policymakers and technology providers in optimizing their marketing strategies and information campaigns to promote new environmental technologies.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Editorial Material
Engineering, Industrial
Mehrdokht Pournader, Philipp C. Sauer, Behnam Fahimnia, Stefan Seuring
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Review
Engineering, Industrial
Mehrdokht Pournader, Hadi Ghaderi, Amir Hassanzadegan, Behnam Fahimnia
Summary: This paper provides a systematic review of AI applications in supply chain management, identifying past and present research states and offering guidance for future studies. The analysis reveals that learning methods are gaining momentum while sensing and interacting methods present an emerging research area.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Engineering, Manufacturing
Reza Zanjirani Farahani, Nasrin Asgari, Luk N. Van Wassenhove
Summary: Textile waste, heavily impacted by fast fashion, is a major global pollutant. While some fast fashion firms have started collecting preowned items for reuse, import bans on second-hand clothes in developing countries pose challenges. Charities could potentially help fast fashion firms increase their capacity in handling textile waste, but face obstacles in collaboration.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Economics
Yuxiang Yang, Shadi Goodarzi, Ali Bozorgi, Behnam Fahimnia
Summary: The study focuses on compliance and noncompliance behavior of supply chain players under a carbon cap-and-trade scheme, utilizing game theoretic models and network equilibrium models to examine influencing factors. Extensive numerical analysis reveals the impact of noncompliance penalties, remanufacturing ratios, and production emissions on equilibrium results.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Immunology
Ali Bozorgi, Behnam Fahimnia
Summary: The study focuses on the potential benefits of thermostable vaccines delivered through Micro Array Patch (MAP) in low and middle-income countries. The research compares the supply chain aspects of conventional syringe-and-needle vaccines with MAP vaccine delivery in Australia, highlighting cost savings, waste reduction, and safety improvements. Future research directions in this area are also discussed.
Article
Immunology
Ali Bozorgi, Behnam Fahimnia
Summary: This study compares the cost of the conventional syringe-and-needle vaccine supply chain with the MAP vaccine supply chain for influenza vaccine delivery in Australia, finding that transitioning to thermostable MAP-delivered vaccines not only reduces costs but also decreases waste and enhances safety.
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
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
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.
