Jairo R. Montoya-Torres

• PhD, Dr-Hab
• Professor (Full) at University of La Sabana

The Physical Internet (PI) is a relatively new logistics paradigm defined as a supply chain framework whose physical components are standardized and optimized with the main objective of increasing the supply chain's overall efficiency, resilience, and sustainability. Given the novelty of the PI concept, there is a lack of scientific literature addr...

Background: For several years, two of the major concerns of logistics managers are (i) the visibility of global supply chains and (ii) the uncertainty in deciding which existing logistics security program is the most appropriate according to the security levels for their organization. This last decision is needed to ensure traceability and visibili...

Although automation has increased, hand-intensive production systems persist because workers are required to be extremely flexible and precise in completing some tasks. As a result of their impact on manual task productivity, learning and fatigue effects generate interest. This article discusses a flowshop scheduling problem (FSSP) involving physic...

Sustainability is a paramount concern for manufacturing companies, necessitating the adoption of sustainable production and circular economy strategies. However, quantifying these sustainability efforts remains a formidable challenge due to the absence of a standardized framework, consequently hindering the development of effective strategies. This...

Agriculture is experimenting economic and environmental challenges and the need to make decisions on improving performance and use of resources reductions as a priority. It is hence necessary to implement tools to aid decisions at strategic, tactical and operational levels. The current paper reviews existent literature with an emphasized on crop pr...

Attention to scheduling problems with learning effect has increased, since the factors that influence productivity of manual tasks are being considered recently. The flowshop system is one of the most frequent configurations of hand-intensive production systems; it belongs to the class of NP-hard combinatorial optimization problems. Thus, this arti...

This paper presents an analysis of research articles published in the field of Operations Research and Management Science (OR/MS) by Latin American researchers. The objective is to examine the historical evolution of research in the field and to examine the current state of OR/MS studies in Latin America. The analysis is based on data available on...

Vehicle congestion in Bogota is high, generating high operating costs and long waiting times for school buses for children. Currently, in Bogota, and in most of Colombian cities, each school owns its own transportation fleet or outsources buses for the exclusive transportation service for its own students. Student pick-up in the morning and drop-of...

Over the last years, there have been significant technological advances in electric vertical take-off and landing (eVTOL) vehicles. Currently, multiple companies are working to establish new air transportation services in urban areas, such as air taxis. With the growing number of projects and interest in these new air services, urban airspace can b...

Presents new theoretical and applied advances in operations research and analytics Focuses on modeling and resolution of Latin American business-related problems Is devoted to the interface with other business fields

The latest advancements in electric vertical take-off and landing (eVTOL) vehicles indicate that soon this technology will be available in multiple fields. One potential application of this new technology is in emergency medical services. These vehicles will be able to reach emergency sites faster than ground ambulances at lower costs than traditio...

La internacionalización de la Educación Superior permite lograr fortalecer las dimensiones internacional e intercultural de los procesos de enseñanza-aprendizaje y de investigación. Entre los mecanismos más conocidos se encuentran: movilidad de estudiantes, docentes e investigadores, programas de doble titulación, proyectos de investigación conjunt...

Studies that use rivers in a last-mile delivery context are scarce. This research considers the first multimodal alternative based on a barge for parcel delivery activities. It proposes two sustainable network designs for a two-echelon distribution. The efficiency of scenarios is assessed through performance indicators. A three-stage decomposition...

Inspired by real-life applications, mainly in hand-intensive manufacturing, the incorporation of learning effects into scheduling problems has garnered attention in recent years. This paper deals with the flowshop scheduling problem with a learning effect, when minimising the makespan. Four approaches to model the learning effect, well-known in the...

Military logistics has been present from the moment a soldier was created, and its evolution has been influenced by the technology used. Indeed, it has been observed over time that every military revolution was intrinsically caused by a military logistics revolution, directly promoted by the technology applied to the manner of making war. Few paper...

Industry 4.0 technologies are transforming supply chain management from a linear model to what is known as supply chain 4.0, where operations are integrated, and flows stream in multiple directions. The study aims to explore the attributes of Industry 4.0 technologies and their impact to drive sustainability values. The findings were generated afte...

Modern market behavior and globalization have increased the complexity of supply chains, dealing logistics managers to implement strategies to fulfill customers’ needs. Hence, product transportation activities are highly dependent on production outputs. In the literature, the product distribution in supply chains has traditionally been approached a...

Today’s competitive marketplace leads customers to demand a higher level of customer satisfaction, by expecting their orders to be delivered quickly. This forces organizations to implement strategies that decrease order delivery time. Typically, to meet this objective, companies schedule production as much efficiently as possible. The success of pr...

In traditional scheduling problems, job processing times are considered constant and known in advance. This assumption is, however, a simplification when it comes to hand-intensive real-life production contexts because workers usually induce variability in the job processing times due to several factors such as learning, monotony, fatigue, psycholo...

Scheduling problems deal with the allocation and sequencing of a set of jobs to a set of production resources (machines, workers) to optimize one or more objective functions. In the literature, traditional deterministic approaches consider that processing times of jobs are fixed, constant and known at the initial time of scheduling. However, this a...

Nowadays, market behavior and globalization mean that end consumers are waiting very quickly for their orders to be delivered. This context forces companies to have high availability of finished products. For this reason, the industries that make up the supply chains are obliged to implement strategies to meet this customer need. One efficient prac...

In this work, we present an operational planning model for harvesting of fresh agricultural products. This model contains the resources and factors that determine the operational cost of harvesting. These resources are labor, time windows for operations, use of soil, demand of products, types of markets, loss for quality, variety of fruits and prod...

The design and planning of group tourist itineraries is a current trend. Group planning should be done according to the maximum capacity of the site under current COVID-19 conditions, the transport flow, and the benefits associated with individual preferences. Tourists commonly express the benefits and limitations of travel in vague and imprecise l...

This paper aims to design a two-echelon parcel distribution network modeled as the Two-Echelon Vehicle Routing Problem (2E-VRP). In this problem, e-cargo bikes perform the last-mile delivery. In fact, this transportation mode is positioned as a promising alternative to make last-mile delivery. Studies show cost and carbon dioxide equivalent (CO2e)...

Tourism is limited by the lack of policies and strategies in areas Tourism is constrained by the lack of policies and strategies in areas with tourism potential. Therefore, there is a need to increase awareness and tourist inflow through the creation of destination brand identities. However, brand equity is one of the most complex business challeng...

The shift from mass tourism to more personalized travel denotes great importance in the construction of tourist itineraries. Given the negative impacts of transport and tourism on the environment, sustainability criteria play an important role. The Tourist Trip Design Problem is related to the design of itineraries for tourists. Planning is complex...

Due to the increase of global demand of agriculture and agro-industrial products, agriculture has undergone some changes in the stages of procurement, planning, planting, maintenance, harvesting, transport and distribution. The use of formal mathematical model has been employed to evaluate and implement improvement policies and strategies. In this...

This article studies the problem of job scheduling in hand-intensive manufacturing with processing times that deteriorate depending on the sequence in order to minimize the maximum delay of the set of jobs. In the literature, only a small number of academic works has considered the assumption of non-stationary workers during the planning horizon. T...

The location routing problem (LRP) integrates operational decisions on vehicle routing operations with strategic decisions on the location of the facilities or depots from which the distribution will take place. In other words, it combines the well‐known vehicle routing problem (VRP) with the facility location problem (FLP). Hence, the LRP is an NP...

The tourism sector represents an opportunity for economic growth in countries with tourism potential. However, new trends in global tourism require efficiency in tourism supply chain management. One of the main changes is the trend of personalized tourism, which includes the management of itineraries by the tourist. The tourist trip design problem...

The literature review shows research gaps into the food supply chain design. In that context, this paper deals with the design of a sustainable supply chain. A multi-objective mixed-integer linear programming model includes four decisions and three sustainable criteria (economic—total network costs—, environmental—carbon emissions—, and social—work...

This work proposes solving a bi-objective problem of planning tourist routes for multiple days, selecting the transport mode and multiple fuzzy constraints. The imprecise and non-strict constraints are time windows, the duration of the route and the budget available to the tourist.To find the optimal planning using two criteria: obtaining the most...

To improve the effectiveness and the sustainability of logistics, the Physical Internet paradigm proposes disruptive solutions. This implies developing an ecosystem of tech-based logistics solutions and supporting methodologies that enable all players in global trade to cooperate. The purpose of this paper is to investigate systematic literature re...

We present an operational planning model for harvesting of fresh agricultural products. This model contains the resources and factors that determine the opera�tional cost of harvesting. These resources are labor, time windows for operations, use of soil, demand of products, types of markets, loss for quality, variety of fruits and productivity of c...

Improving the travel experience is a goal of tourist destinations. Tourists demand information and services that help plan and organise the trips adapted to their preferences and resources. Intelligent systems, recommendation systems, and electronic tourist guides can play a decisive role in tourist satisfaction and shaping the offer at the destina...

The transportation sector has traditionally been considered essential for commercial activities, although nowadays, it presents clear negative impacts on the environment and can reduce social welfare. Thus, advanced optimization techniques are required to design sustainable routes with low logistic costs. Moreover, these negative impacts may be sig...

En Colombia existen diferentes zonas con alto potencial turístico, como el departamento de Sucre. Su división geográfica en cinco subregiones conlleva a presentar cinco espacios de cultura, economía, historia y ecosistemas distintos, haciéndolo atractivo para los turistas. Sin embargo, la crisis generada por el coronavirus SARS-CoV-2, sumada a la b...

The main concern in city logistics is the need to optimize the movement of goods in urban contexts, and to minimize the multiple costs inherent in logistics operations. Inspired by an application in a medium-sized city in Latin America, this paper develops a bi-objective mixed linear integer programming (MILP) model to locate different types of urb...

Tourism has direct and indirect implications for CO2 emissions. Therefore, it is necessary to develop tourism management based on sustainable tourism, mainly in the transport process. Tourist itinerary planning is a complex process that plays a crucial role in tourist management. This type of problem, called the tourist trip design problem, aims to...

Traditional deterministic scheduling problems consider that processing times of jobs are fixed and constant over time. However, this assumption is not realistic in practice in hand-intensive manufacturing contexts. To deal with this, the current paper studies the deterioration effect of processing times on a parallel machine scheduling problem. In...

As far as urban population continuously grows, the need of intelligent transport systems becomes more and more relevant to deal with transport needs for both people and cargo. Automated devices for data capture requires the implementation of analytics techniques in order to provide insights for actual decision-making and policy design. The objectiv...

Tourism is one of the fastest-growing sectors in the world with a shift from mass tourism to personalized travel. Nevertheless, it generates significant environmental impacts. The current events associated with quarantine measures generated by COVID-19 represent, however, a risk for this sector. It is hence necessary to create strategies that allow...

In this paper, we study the open question regarding the computational complexity of one newest version of the Joint Replenishment Problem, the Collaborative Joint Replenishment Problem. This problem has received attention due to his potential in practical settings. However, the complexity of the problem remains unresolved. In this paper, we provide...

Globalized supply chain networks are prone to high levels of turbulence and uncertainty. This globalization induces new challenges that go far beyond the typical concern on demand and supply uncertainties. The management of disruptions in globalized supply chains requires a fully interdisciplinary approach. The COVID-19 outbreak of 2020 resulted in...

Supply chains constantly face new problems that go way beyond the traditional issues of supply and demand uncertainty, particularly due to the impact of worldwide disruptive events. This paper aims at mapping academic literature examining so far issues related to the impact on supply chains of the COVID-19 outbreak based on a thorough literature re...

This paper proposes a hybridized simheuristic approach that couples a greedy randomized adaptive search procedure (GRASP), a Monte Carlo simulation, a Pareto archived evolution strategy (PAES), and an analytic hierarchy process (AHP), in order to solve a multicriteria stochastic permutation flow shop problem with stochastic processing times and sto...

Models for routing vehicles have been applied to solve a variety of transport route design problems. Also, it has taken an important trend on environmental care in consideration of the negative environmental impact generated by the emissions resulting from transportation. Another relevant aspect of environment care is the collection of solid wastes...

Many supply chains are composed of producers, suppliers, carriers, and customers. These agents must be coordinated to reduce waste and lead times. Production and distribution are two essential phases in most supply chains. Hence, improving the coordination of these phases is critical. This paper studies a combined hybrid flow-shop and vehicle routi...

The two-echelon distribution networks are very common in last-mile supply chains and urban logistics systems. The problem consists of delivering goods from one depot to a set of satellites and from there to a group of customers. The most common problem is known as the two-echelon vehicle routing problem (2E-VRP), which is known to be computationall...

The location routing problem integrates both a facility location and a vehicle routing problem. Each of these problems are NP-hard in nature, which justifies the use of heuristic-based algorithms when dealing with large-scale instances that need to be solved in reasonable computing times. This paper discusses a realistic variant of the problem that...

Gravitational models are currently a commonly used methodology to analyze the behavior of countries' trade flows. These studies typically seek to measure the impact of distance and the size of economies as factors that increase or decrease the propensity to trade between countries. Instead of using the traditional model, this paper introduces two d...

This book approaches its subject matter by promoting concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence. The scientific theme of the book concerns “Manufacturing as a Service”, developed by virtualizing and encapsulating manufac...

We present a planning model for sowing of fresh agricultural products. This model contains the resources and factors that determine the revenues of sowing founded on the use of lean manufacturing (LM) principles as a tool for waste management. This model maximize the benefit from sow allowing to get a tactical planning through of mixed linear progr...

Distribution of goods in urban areas are complex logistics problems. To avoid the negative impacts of trucks within cities, Urban Distribution Centers (UDC) located at the periphery allows goods delivery by smaller vehicles. The problem can be modeled as a two-echelon vehicle routing problem. Since the problem is known to be NP-hard, metaheuristics...

Performant planning and integration of Urban Logistics Spaces (ULS) in logistics networks are key to optimising the circulation of goods in cities. During the last three decades, several documents on ULS have been published, most of them proposing different methodologies for the design and location of Urban Distribution Centres (UDC). Until now, th...

The design of supply chain networks (SCNs) aims at determining the number, location, and capacity of production facilities, as well as the allocation of markets (customers) and suppliers to one or more of these facilities. This paper reviews the existing literature on the use of simulation-optimization methods in the design of resilient SCNs. From...

This paper presents a preliminary analysis of Urban Logistics Spaces (ULS) in Barranquilla, Colombia, with the aim of defining a typology in port cities in developing countries and examining the relevance of using a specific typology for those cities or having a unique and general typology, for any city in the world. Firstly, the background to the...

During recent years, advances in drone technologies have made them applicable in various fields of industry, and their popularity continues to grow. In this paper, the academic contributions on drones routing problems are analyzed between 2005 and 2019 to identify the main characteristics of these types of problems, as well as the research trends a...

This paper deals with the design of a sustainable supply chain in a high variety production environment. To respond to this challenge, a Mixed-Integer Linear Programming model is proposed. The economic criteria are the costs of transportation, and that of opening and operating manufacturing facilities; the environmental criterion is the level of \(...

Environmental sustainability is a requirement for modern urban freight transport systems. On a global scale, most resources are currently consumed in cities, contributing to the economic importance of urban freight transport as well as its poor environmental performance. However, there is a lack of knowledge about how to correctly quantify the envi...

Operative planning in agricultural production has historically had the objective of improving yields and quality. Sowing, cropping, and harvesting are usually treated independently, and waste and the sustainability of operations are generally not integrated into operational planning methodologies for agricultural production. This study shows the ne...

Nowadays, urban freight transport networks must be environmentally sustainable. As a consequence, collaboration strategies have been implemented as one alternative to enhance the efficiency of the supply chain and to reduce its environmental burden. However, there is a lack of knowledge about how to correctly quantify the environmental impact of co...

The Vehicle Routing Problem with Loading Constraints (VRPLC) is strongly related to real life applications in distribution logistics. It addresses the simultaneous loading and routing of vehicles, which are two crucial activities in transportation. Since treating these operations separately may result in impractical solutions, the development of ap...

The aim of this paper is to present a simheuristic approach that obtains robust schedules for a multi-objective permutation flow shop problem with stochastic processing times. In fact, this approach minimizes the expected tardiness and standard deviation of tardiness, as a efficiency and a robustness measure for the stated problem. The simheuristic...

Purpose The purpose of this paper is to present a decision support system (DSS) for a Colombian public utility company in order to aid decision-making at the operational level regarding route planning and travel time. The aim is to provide a tool to assist technicians that perform interruption and reconnection of domiciliary services for about 2,00...

This study addresses a flow shop sequencing problem with position-dependent processing times. The aim of this work is to minimize the maximum tardiness and analyze the effects of the deterioration factor. This work is different from existing works in the literature, in that processing times are not per se deteriorating; instead, the resources deter...

Increasing pressure from governments and stakeholders has motivated the study of sustainability assessment in the supply chain context at operational, tactical, and strategic levels. Several papers have been published during the last two decades, and the number is still rising. Although several authors present complex models that include environmen...

This paper addresses the stochastic permutation flow shop problem (SPFSP) in which the stochastic parameters are the processing times. This allows the modeling of setups and machine breakdowns. Likewise, it is proposed a multi-objective greedy randomized adaptive search procedure (GRASP) coupled with Monte-Carlo Simulation to obtain expected makesp...

This paper assesses the effectiveness in scheduling independent jobs with earliness/tardiness costs and variable setup times applying the Overall Equipment Effectiveness (OEE). The OEE is a common metric for measuring the manufacturing productivity. We defined a mixed-integer linear programming formulation of the parallel machine scheduling problem...

The current global interest in improving the use of ever-scarcer natural resources calls for the re-alignment of supply chain operations to include not only economic factors, but environmental and social factors as well. Two of the most important supply chain activities that logistics managers have to deal with are the planning and improvement of t...

Poor urban planning and traffic congestion lead to excessive delays in workers’ transit times and decrease their quality of life, especially in emerging countries. Several medium and large companies have a need to hire a transport service for their staff. In this type of transportation system, there is a heterogeneous fleet of vehicles, which are a...

Human resource allocation turns out to be a critical process inside production and service companies not only for managers and directors, but also for employees and operators. Classical scheduling theories establish that all employees have the same characteristics, behavior and productivity rates. From the workforce scheduling perspective, this res...

Collaboration in transportation activities is becoming more and more important in urban last-mile logistics. This growing interest is not only motivated by transportation cost reduction and load capability improvements, but also by customer service level and stakeholder coordination enhancement. In this paper we tackle the Shared Customer Collabora...

Despite its negative impacts, freight transportation is a primary component of all supply chains. Decision makers have considered diverse strategies, such as Horizontal Collaboration (HC) and the usage of alternative types of vehicles, to reduce overall cost and the related environmental and social impacts. This paper assesses the implementation of...

The storage of goods plays a crucial role in warehouse management systems. Although this operation is often considered simple, it is in fact complex, due to the volume of products, the uncertainty in demands, and the rapid customer service response that the market requires. Moreover, the optimization of logistical resources to maintain an efficient...

This study models the coordination of supply chain actors using incentive contracts, in the routing and packing activities, in order to find the efficient contracts that should be offered to a group of vehicle drivers to comply with a distribution plan set up by a distribution manager. The proposed methodology integrates the routing and packing dec...

Please reference this dataset under the following paper: Arias-Rojas, J. S., Jiménez, J. F., & Montoya-Torres, J. R. (2012). Solving of school bus routing problem by ant colony optimization. Revista EIA, (17), 193-208.

The vehicle routing problem with loading constraints (VRPLC) is related to real‐life transportation problems and integrates two of the most important activities in distribution logistics: packing of items inside vehicles and planning of delivery routes. In spite of its relevance, literature on VRPLCs is still limited. The majority of the solution a...

This paper presents a comparison of several well-known dispatching rules hybridised with Monte Carlo simulation to solve the Permutation Flow Shop Scheduling Problem with stochastic processing times. The aim of the paper is to show the importance of making an accurate probability distribution fitting of the uncertain parameter for adequate decision...

The Location Routing Problem (LRP) is one of the most important challenging problems in supply chain design since it includes all decision levels in operations management. Due to its complexity, heuristics approaches seem to be the right choice to solve it. In this paper we introduce a simple but powerful approach based on biased randomization tech...

Purpose This paper presents Accomm a software implementation of Ágora-SN, a supply network customer-oriented model integrated with an Adaptation Model. Accomm serves two-purposes: as an experimental validation tool to measure the impact of Adaptation on an agribusiness supply network (SN) model, and as a logistic and marketing operations planning...