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Sustainable urban farming using a two‐phase multi‐objective and multi‐criteria decision‐making approach Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-04-04 Doha Haloui, Kenza Oufaska, Mustapha Oudani, Khalid El Yassini, Amine Belhadi, Sachin Kamble
For several reasons, recent attention has focused on urban agriculture in the context of sustainable and smart agriculture. Most of the global population has relocated from rural to urban areas. The ecological impact of agriculture is a rising concern. Furthermore, food insecurity, particularly food availability, remains a significant issue. Satisfying rising food demand with minimal environmental
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The multidepot drone general routing problem with duration and capacity constraints Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-03-23 Teresa Corberán, Isaac Plana, José M. Sanchis, Paula Segura
This paper studies the multidepot drone general routing problem with duration and capacity constraints (MDdGRP), an extension of the classical general routing problem with several depots. A fleet of drones with limited flight time and payload, each one located in a different depot, must jointly perform the service. In this continuous optimization problem, a set of lines of a network has to be serviced
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Optimizing extracurricular activities assignment and related logistical deployment cost between collaborating schools Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-03-23 Manuel Mateo‐Doll, El‐Houssaine Aghezzaf
In contemporary urban societies, where both parents are working full‐time, a significant number of schoolchildren engage in extra‐curricular activities after school. These activities can be organized by the school itself and take place in the school. However, sometimes few schoolchildren are interested in an activity organized by the school, or the schoolchildren's preferences do not match the school's
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An integrated model of supply chain resilience considering supply and demand uncertainties Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-03-23 Jongmin Lee, Ilkyeong Moon
The complexity of the global supply chain has increased dramatically over the past few decades as a result of uncertainty caused by various factors. This paper studies the optimal strategy for supply chain resilience models considering supply disruptions and demand fluctuations. We present two‐stage stochastic programming models based on different scenarios, including a risk‐neutral model that considers
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Efficiency analysis in two‐stage data envelopment analysis with shared resources and undesirable outputs: an application in the banking sector Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-03-22 Alireza Amirteimoori
In classic and traditional data envelopment analysis (DEA) models, the production process is considered as single stage process and the internal structures have been ignored. In many real‐world occasions, however, the processes have two‐ or multi‐stage structures with or without shared resources. Two‐stage DEA models deal with the calculation of the technical efficiency of a system, taking into consideration
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Traveling salesman problem with drone and bicycle: multimodal last‐mile e‐mobility Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-03-20 Erfan Babaee Tirkolaee, Emre Cakmak, Saliha Karadayi‐Usta
Recently, the multimodal last‐mile e‐mobility concept has been at the center of attention for cleaner, greener, and more accessible urban deliveries. As part of sustainable transportation systems, multimodal e‐mobility is proper for a variety of logistics operations as well as medical applications. This work tries to address a novel application of multimodal e‐mobility through introducing and modeling
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Optimal production and carbon reduction investment decision for manufacturers with leasing–selling strategies considering financing Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-03-16 Biyu Liu, Yaling Shi, Haidong Yang
For a capital‐constrained manufacturer, in the context of carbon reduction, whether products should be sold or leased and which financing mode is more beneficial are usually debated. By considering Carbon Emission Permits Repurchase Financing (CEPRF) and Green Credit Financing (GCF), the optimal decision‐making models with different strategies are presented. The Karush–Kuhn–Tucker theorem is applied
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Dynamic competition and market structure for platform‐based products: roles of product quality and indirect network effect Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-03-12 Guowei Dou, Kun Wei, Lijun Ma, Xudong Lin
We consider dynamic competition between two platform‐based products that exhibit two‐sided network effects, such as game consoles and intelligent hardware. Firms compete in terms of pricing and Research & Development investment, which are driven by consumers’ marginal utility of quality, indirect network effects, and the differentiation between consumers’ preference for the products. We find that with
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Special issue on “Multiple criteria decision making for sustainable development goals (SDGs)” Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-03-10 Davide La Torre, Hatem Masri, Constantin Zopounidis
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IFORS' Operational Research Hall of Fame: Clóvis Caesar Gonzaga Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-03-10 Celina de Figueiredo, Elizabeth W. Karas, Claudia Sagastizábal
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Special issue on “Managing supply chain resilience in the digital economy era” Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-03-10
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A multi‐objective transportation model for COVID‐19 patients: lesson learned from France Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-03-08 Houda Alaya, Haifa Jammeli, Fouad Ben Abdelaziz, Meryem Masmoudi, Jerome Verny
The current COronaVIrus Disease 2019 (COVID‐19) pandemic has revealed many challenges to the world. The pandemic obliged public authorities to impose lockdowns and stop several activities. Limited hospital capacity was considered one of the main reasons behind lockdown decisions. To partially face hospital congestion, the healthcare authorities suggested transferring patients to hospitals in regions
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Information and selling mode strategies in a supply chain with an outsourced private label product Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-03-08 Fa Wang, Jing Chen, Hui Yang, Fei Sun
This paper examines the interplay between the information strategy of an e‐commerce platform and the selling mode strategy of a manufacturer within a co‐opetitive supply chain, as well as the identification of the optimal supply chain strategy. We develop a supply chain model where a platform outsources production of its private label product to a manufacturer, who also sells its national brand product
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A practical approach for dealing with hard knapsack problems using general‐purpose integer programming software Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-03-01 Myung Soon Song, Pei Hua Lin, Yun Lu, Emre Shively‐Ertas, Francis J. Vasko
Several articles dealing with the generation of hard 0‐1 knapsack problems (KPs) have given rise to 13,940 KP instances being made available for empirical testing. These KPs are typically solved using algorithms specifically designed to solve hard KPs. The goal of this paper is to demonstrate that two general‐purpose integer programming software packages using default parameter settings and a standard
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A heuristic for the non‐unicost set covering problem using local branching Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-02-27 J.E. Beasley
In this paper, we present a heuristic for the non‐unicost set covering problem using local branching. Local branching eliminates the need to define a problem specific search neighbourhood for any particular (zero‐one) optimisation problem. It does this by incorporating a generalised Hamming distance neighbourhood into the problem, and this leads naturally to an appropriate neighbourhood search procedure
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Personalized pricing versus showrooming: competition between online and offline retailers Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-02-23 Zhenzhen Ren, Junfeng Tian, Shurong Kang, Meixian Tang, Jinsong Tian
This study examines how personalized pricing affects customers’ showrooming behavior in the duopoly competition with horizontal product differentiation between traditional and online retailers. For the available personalized pricing strategies, we obtained the optimal decisions for both retailers in the scenarios with and without showrooming. Our results indicate that adopting personalized pricing
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Optimal two-period pricing decisions and value-added service strategies of two-sided platform considering suppliers entry timing Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-02-13 Huabao Zeng, Tong Shu, Yue Yu, Jiaming Cheng
The flourishing platform business model has been rapidly integrated into manufacturing industries, and value-added service (VAS) provided by the platforms has become a critical part of enhancing competitiveness. This study investigates the optimal two-period pricing decisions and VAS strategies of the two-sided platform for manufacturing. For both the supplier and manufacturer side, the platform decides
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Statistical proxy based mean-reverting portfolios with sparsity and volatility constraints Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-02-13 Ahmad Mousavi, George Michilidis
Mean-reverting portfolios with volatility and sparsity constraints are of prime interest to practitioners in finance since they are both profitable and well-diversified, while also managing risk and minimizing transaction costs. Three main measures that serve as statistical proxies to capture the mean-reversion property are predictability, portmanteau criterion, and crossing statistics. If in addition
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Performance enhancement in two-stage innovation contests: Feedback and elimination schemes Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-02-11 Yifu Li, Peng Luo, Wei Zhang, Xiaowei Fan, Shuijing Jie
Innovation is one of the driving forces of economic development and social progress, and the crowdsourcing contest is a well-established mechanism for encouraging innovation. This paper examines two incentive schemes in two-stage innovation contests: feedback and elimination. Feedback enhances the efforts by revealing the competitive status, and elimination intensifies the competition by removing less-qualified
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Competing platform owners’ entry and an OEM's cooperation response Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-02-11 Xiangxiang Wu, Yong Zha, Liang Liang
This paper develops a game-theoretic model that examines the entry decisions of two competing platform owners with differentiated research and development (R&D) efficiency and the response strategy of an original equipment manufacturer (OEM) in selecting which platform to cooperate with. The OEM and platform owners compete on quality and price in the face of consumers with heterogeneous preferences
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Discrete cooperative coverage location models with alternative facility types in a probabilistic setting Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-01-25 Maria Michopoulou, Ioannis Giannikos
In this paper, we discuss discrete location problems where the objective is to locate a given number of facilities of different types in order to appropriately cover a given set of demand points. The coverage provided to each demand point is the result of the cooperation among the located facilities. The different types of facility refer to the coverage radius or quality of coverage that each type
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A predictive multistage postdisaster damage assessment framework for drone routing Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-01-24 Birce Adsanver, Elvin Coban, Burcu Balcik
This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an assessment period. In the initial phase, the problem involves determining areas to be scanned by each drone and the optimal sequence for visiting these selected areas. We have adapted
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Fast or slow? Logistics way choices for perishable products under competition Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-01-22 Fang Fu, Mengying Pei, Wei Xing, Yongsheng Zhou
This study investigates a logistics game where two competing shippers of perishable products may choose between fast and slow logistics ways. The fast logistics way allows a shipper to retain better delivered product quality, whereas the slow one provides a cost advantage. The two shippers sell high- and low-quality products, respectively. We find that the equilibria of the logistics game are determined
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Just-in-time scheduling problem with due windows and release dates for precast bridge girders Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-01-22 Gang Liu, Hongwei Wang, Yong Xie
As the prefabrication construction method plays an increasingly important role in the construction of cross-sea bridges, coordinating the schedule between off-site prefabrication and on-site assembly becomes crucial and challenging. This paper studies a just-in-time single-machine scheduling problem with due windows and release dates, which originates from the production and supply process of large
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Exact and heuristic solutions for the prize-collecting geometric enclosure problem Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-01-13 Natanael Ramos, Rafael G. Cano, Pedro J. de Rezende, Cid C. de Souza
In the prize-collecting geometric enclosure problem (PCGEP), a set S of points in the plane is given, each with an associated benefit. The goal is to find a simple polygon P $\mathcal {P}$ with vertices in S that maximizes the sum of the benefits of the points of S enclosed by P $\mathcal {P}$ minus the perimeter of P $\mathcal {P}$ multiplied by a given nonnegative cost. The PCGEP is NP-complete and
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The rich heterogeneous dial-a-ride problem with trip time prediction Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-01-08 Laura Portell, Helena Ramalhinho
The dial-a-ride problem (DARP) involves designing vehicle routes to fulfill the door-to-door transportation requests of users where the goal is to minimize costs while satisfying transportation requests. In this paper, we introduce the rich heterogeneous DARP, which extends the generalized heterogeneous DARP to consider a fleet of buses and taxis, multiple depots, time windows at pickup and delivery
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Advance selling strategy and pricing decisions with online reviews Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-01-03 Ming-Zhao Tang, Tian-Hui You, Bing-Bing Cao
Motivated by marketing practices in advance selling, this paper studies the optimal pricing decisions and advance selling strategy with online reviews. The firm may charge a full or partial price in advance selling and then determine whether to continue selling products in the spot market. We characterize the equilibrium pricing decisions, selling scheme, and advance selling strategy in the monopoly
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A scenario-based requirement analysis of R&D projects from the cross-efficiency perspective Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2024-01-03 Qinru Wang, Qing Yang
Research and development (R&D) project requirements have relationships with scenarios, scenario-based events and other factors, while traditional research does not always include quantitative analysis. Our research proposes a new method for prioritising scenario-based requirements within R&D projects based on scenario analysis and cross-efficiency. First, we decompose the scenarios and apply the design
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Assessing social performance in supply chain design and planning through a monetization approach Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-12-28 Cátia da Silva, Ana Barbosa-Póvoa, Ana Carvalho
Sustainable development is today a major concern, and within this supply chain’ environmental and social performances need to be considered. The social pillar of the supply chain is not easy to measure, and its quantification is a researcher's challenge. In addition, quantifying the social impact of a monetary unit, easily understood by decision-makers, is an important step towards achieving global
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An extended ε-constraint method for a bi-objective assortment optimization problem Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-12-28 Amin Eskandari, Koorush Ziarati, Alireza Nikseresht
The paper deals with assortment optimization when customers purchase products using a nonparametric choice model. Each customer is presented with a preference list and will buy an available highest-ranked offered product on the preference list. The paper presents a novel bi-objective integer programming model for assortment optimization following a ranking-based consumer choice model. The objectives
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New advances for quantum-inspired optimization Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-12-28 Yu Du, Haibo Wang, Rick Hennig, Amit Hulandageri, Gary Kochenberger, Fred Glover
Advances in quantum computing with applications in combinatorial optimization have evolved at an increasing rate in recent years. The quadratic unconstrained binary optimization (QUBO) model is at the center of these developments and has become recognized as an effective alternative method for representing a wide variety of combinatorial optimization problems. Additional momentum has resulted from
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Scheduling-location problem with drones Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-12-28 Dongwook Kim, Ilkyeong Moon
Drone operation, a new driving force for logistics innovation, is struggling to overcome practical challenges. One of the concerns for drone utilization is limited flight ranges, and different concepts of facilities are continually developed to support drone delivery. These new facilities prompt the need to integrate decision-making across different phases. In particular, the deployment of facilities
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The capacitated family traveling salesperson problem Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-12-28 Saúl Domínguez-Casasola, José Luis González-Velarde, Yasmín Á. Ríos-Solís, Kevin Alain Reyes-Vega
The capacitated family traveling salesperson problem (CFTSP) is about a graph in which nodes are partitioned into disjoint and differently weighted families. The objective is to find the shortest route that visits a given number of nodes in each family with a set of capacitated agents. The CFTSP is a new variant of the family traveling salesman problem (FTSP). Nevertheless, existing exact and metaheuristic
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A multistart biased-randomized algorithm for solving a three-dimensional case picking problem with real-life constraints Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-12-28 Mattia Neroni, Angel A. Juan, Massimo Bertolini
This paper introduces the three-dimensional case picking problem (3D-CPP) and proposes a multistart biased-randomized algorithm (BRA) to solve it. The 3D-CPP combines two important topics in modern warehouse logistics: the pallet loading problem and the routing of pickers in manual warehouses. The proposed optimization procedure aims at minimizing the overall distance traveled by the pickers, and is
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Optimal pricing and warranty strategies of a closed-loop supply chain under government subsidies Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-12-17 Jinhong Li, Shuguang He, Min Zhang
Both warranty services and subsidy policies are effective strategies for promoting the development of remanufacturing. According to the warranty provider, this paper considers two possible warranty strategies: the manufacturer warranty and the retailer warranty. The optimal pricing and warranty periods are determined by considering the effect of the consumption subsidy policy through Stackelberg game
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Home visit scheduling for family interventions: a child protection case study Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-12-17 Ana Raquel Pena de Aguiar, Inês Clode de Freitas Grassi, Maria Isabel Gomes, Tânia Rodrigues Pereira Ramos
Family dynamics affect the development of children and youth, which can even endanger young people and lead to the loss of parental rights and subsequent institutionalization. Recent emphasis has been placed on working with families when a potentially risky situation is identified, aiming at developing skills within family members and avoiding institutionalization. Some organizations help to develop
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Discrete-event simulation is still alive and strong: evidence from bibliometric performance evaluation of research during COVID-19 global health pandemic Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-12-15 Ikpe Justice Akpan, Murali Shanker, Onyebuchi Felix Offodile
During the Annual Operational Research Society Simulation Workshop in Worchester, UK, in 2010, a panel discussion entitled “discrete-event simulation (DES) is dead, long live agent-based simulation (ABS)!” was held. Subsequent debates on the topic have captured the interest of many simulation professionals and researchers. This study lends credence to the discourse with evidence. In January 2020, a
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Optimizing job shop scheduling with speed-adjustable machines and peak power constraints: A mathematical model and heuristic solutions Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-12-03 S. Mahdi Homayouni, Dalila B.M.M. Fontes
This paper addresses a job shop scheduling problem with peak power constraints, in which jobs can be processed once or multiple times on either all or a subset of the machines. The latter characteristic provides additional flexibility, nowadays present in many manufacturing systems. The problem is complicated by the need to determine both the operation sequence and starting time as well as the speed
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Proactive berth scheduling with data-driven buffer time in container terminals Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-12-02 Sung Hun Woo, Hyun Ji Park, Sung Won Cho, Ki Hong Kim
Global shipment volumes have been increasing due to changes in the business environment of e-commerce and manufacturing. Consequently, container vessels carry more cargo for international trade, increasing uncertainties in terminal management. Terminal operators manage terminals by establishing a proactive schedule that responds to disruptions such as vessel delays, and the introduction of buffer time
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Computational complexity and linear formulations for optimizing the location of shared mobility stations Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-12-02 Cristiano Martins Monteiro, Vinicius Fernandes dos Santos, Clodoveu Augusto Davis Junior
Properly planned shared mobility services can be attractive even for who owns and drives a private vehicle, but would consider not owning it anymore if a cheaper, more sustainable, and accessible transport service is available. However, planning such services may become computationally intractable as demand and coverage widen, requiring different methods for optimizing them. This work contextualizes
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Entry deterrence strategies for an incumbent supply chain in the presence of inertial consumer and optimistic entrant Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-12-02 Peng Xu, Tiaojun Xiao
When entering a new market, entrepreneurs generally hold an optimistic belief about the inertia of consumers (i.e., consumer's tendency to repurchase the incumbent product), leading to a high rate of failure. This paper constructs a supply chain with one manufacturer, one retailer, and one potential optimistic entrant who attempts to enter the wholesaling market. We characterize how the behaviors of
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Towards self-organizing logistics in transportation: a literature review and typology Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-12-02 Berry Gerrits, Wouter van Heeswijk, Martijn Mes
Deploying self-organizing systems is a way to cope with the logistics sector's complex, dynamic, and stochastic nature. In such systems, automated decision-making and decentralized or distributed control structures are combined. Such control structures reduce the complexity of decision-making, require less computational effort, and are therefore faster, reducing the risk that changes during decision-making
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Consumer rebate strategy for a manufacturer selling price-quality differentiated products Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-11-30 Sani Majumder, Izabela Nielsen, Susanta Maity, Subrata Saha
In this study, we consider a scenario where a manufacturer offers two price-quality differentiated products, which we label “regular” and “upgraded,” through a retailer and uses direct rebates to customers to stimulate sales. Therefore, the critical question posed is: If a customer rebate is provided, should it be on the regular, upgraded, or both products? Consequently, we compare the outcomes of
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A new hybrid method for quick and accurate calculation of forest transportation distances Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-11-29 Mikael Rönnqvist, Patrik Flisberg, Mikael Frisk, David Bredström, Jean-Baptiste Paradis
Transportation is a key forest logistics component and is a large proportion of the overall cost. Often, the transportation cost is determined by contractual agreements and based on the loaded distance from a supply to a demand point. Many alternative routes provide different distances (e.g., shortest route, fastest route, minimum fuel consumption), but these distances are approximate in the contractual
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The multiple container loading problem with loading docks Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-11-27 Maryam Rajaei, Ghasem Moslehi, Mohammad Reisi-Nafchi
This paper introduces a multiple container loading problem with practical constraints and loading situations at several docks. In the real world, items may be stored on several loading docks in the depot. So, to pack items stored on a dock, it may be necessary to move or reload the items loaded into the container at the previous docks. We present a realistic definition of reloading conditions and design
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The performance of bank portfolio optimization Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-11-27 Catarina Coelho, José Luis Santos, Pedro Júdice
Given a liability structure, the bank portfolio optimization determines an asset allocation that maximizes profit, subject to restrictions on Basel III ratios and credit, liquidity, and market risks. Bank allocation models have not been tested using historical data. Using an optimization model based on turnover constraints, we develop such tests, which document the superior performance of optimization
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Variable neighborhood search approach to face-shield delivery during pandemic periods Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-11-23 Joaquín Pacheco, Silvia Casado
In 2020, the COVID-19 pandemic and its rapid spread shook health authorities worldwide at the regional and national levels. Healthcare systems had difficulty acquiring important supplies, such as face shields, which at that time were essential for healthcare staff. The need for this material increased with the spread of the pandemic. In most areas, warehouses did not have a sufficient stock of this
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The multiobjective traveling salesman–repairman problem with profits: design and implementation of a variable neighborhood descent algorithm for a real scenario Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-11-20 R. Morante-González, A. D. López-Sánchez, J. Sánchez-Oro, A. G. Hernández-Díaz
This paper introduces a problem that can be seen as a combination of the traveling salesman problem with profits and the traveling repairman problem with profits, coined as the multi-objective traveling salesman–repairman problem with profits (Mo-TSRPP). The objective of the Mo-TSRPP is to simultaneously optimize three objectives: the total cost, total latency, and total profit. Indirectly, the number
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To innovate or not? The optimal innovation strategy choice in a supply chain—from the perspective of the leading supplier Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-11-20 Qian Qian, Lijun Liu, Yang Yang
Innovation plays a critical role in shaping market advantages and leading technology competition. Meanwhile, innovations have spillover effects that are beneficial to others, even though they are not involved in the practice of innovation. Innovation is full of uncertainty, which means investment is not guaranteed to pay off for innovators. Therefore, it is essential to choose the appropriate innovation
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Food security and multicommodity agricultural international trade: Quantifying optimal consumer subsidies for nutritional needs Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-11-08 Anna Nagurney
Hundreds of millions of people are now facing food insecurity as challenges from climate change, the aftereffects of the COVID-19 pandemic, and strife and conflicts make availability of food at reasonable prices challenging. International trade has enabled the reallocation of agricultural products, essential for nutrition, from countries with supply markets to other points of demand and has been the
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A flow-based model for the multivehicle covering tour problem with route balancing Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-11-06 Cristina Teruko Ota, Diego Jacinto Fiorotto, Carla Taviane Lucke da Silva Ghidini, Washington Alves de Oliveira
This paper introduces a new flow-based mathematical formulation for the multivehicle covering tour problem. This problem determines a set of vehicle routes for the available fleet; therefore, the total distance traveled is minimal. In the proposed mathematical formulation, each vertex represents a location of interest, and these vertices belong to three sets: vertices that can be visited; vertices
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To be traceable and responsive: blockchain adoption and information sharing in a fresh produce supply chain Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-11-05 Songxuan Ma, Bin Dan, Mengli Li, Maosen Zhou
This study targets a fresh produce supply chain that includes a retailer owning private demand information, a supplier who may adopt blockchain, and a 3PL (Third Party Logistics) engaging in freshness keeping. By developing a multi-stage game model, we study the blockchain adoption strategy and the information-sharing strategy considering information transmission between the 3PL and the supplier and
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A two-layer approach for solving robust decentralized multiproject scheduling problem with multi-skilled staff Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-11-06 Weibao You, Zhe Xu, Yining Yu, Song Zhao
Uncertain activity durations and multi-skilled staff allocation are two practical factors that are difficult to cope with in real project management. This paper studies a new decentralized resource-constrained multiproject scheduling problem with uncertain activity durations and multi-skilled staff allocation. The robust project scheduling is employed to tackle uncertainty. We name it the robust decentralized
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Optimal pricing strategies of e-commerce supply chain considering consumers’ anticipated regrets under the background of blockchain anti-counterfeiting technology Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-11-01 Tianyang Yu, Zhimin Guan, Jin Li, Jun Zhang, Jingyang Dong
In this study, we investigate pricing decisions with different decision sequences in an e-commerce supply chain. The e-commerce platform sells blockchain-compatible products through a self-operated model, while the retailer operating on the platform sells general products. Furthermore, we take into account the impact of counterfeits infiltrating the general product market. This can trigger consumers’
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An ILP approach for tactical flight rescheduling during airport access mode disruptions Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-11-02 Geoffrey Scozzaro, Catherine Mancel, Daniel Delahaye, Eric Feron
Airport access mode disruptions, such as a subway shutdown, threaten the whole passenger door-to-door journey. When such a disruptive event occurs, knowledge of passengers' delays would help the airport operation centre to decide if a departure flight should be delayed. This paper proposes a tactical flight rescheduling at an airport to minimise the number of stranded passengers while considering operational
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Supply chain coordination with financial constraints considering delivery time and cross-channel spillover effect Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-11-01 Xiaoping Xu, Yuanyuan Yang, Fang Chen, T. C. Edwin Cheng, Hao Qin
A manufacturer selling its products via an offline channel and a capital-constrained platform is considered in our work. The agency or reseller mode is operated by the platform. Affected by the delivery time, the offline demand is affected by the online channel, which is called the cross-channel spillover effect (CCSE). Building game models for analysis, we derive the following major results: First
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Tournament schedules and incentives in a double round-robin tournament with four teams Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-10-23 László Csató, Roland Molontay, József Pintér
In a round-robin tournament, a team may lack the incentive to win if its final rank does not depend on the outcome of the matches still to be played. This paper introduces a classification scheme to determine these weakly (where one team is indifferent) or strongly (where both teams are indifferent) stakeless matches in a double round-robin contest with four teams. The probability that such matches
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Quay partitioning problem Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-10-19 Jakub Wawrzyniak, Maciej Drozdowski, Éric Sanlaville, Yoann Pigné, Frederic Guinand
In this paper, we introduce the quay partitioning problem (QPP), that is, a problem of partitioning quay length into berths for minimum ship waiting time. Such a problem arises when designing the terminal layout. Two schemes of quay layout are considered: with at most one ship in a berth and with at most two ships in a berth. Ship arrival times, service times, lengths, and weights are given. We show
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Risk-averse two-stage stochastic programming for the inventory rebalancing of bike-sharing systems Int. Trans. Oper. Res. (IF 3.1) Pub Date : 2023-10-18 Awnalisa Walker, Soongeol Kwon
As the popularity and usage of bike-sharing systems increase, a better decision-making model tailored for the successful operations of bike-sharing systems is needed. This study is motivated to address operator-based inventory rebalancing of bike-sharing systems, and the main objective is to develop a mathematical optimization model designed to derive an optimal daily inventory rebalancing plan. Specifically