Sergio Maturana

Pontifical Catholic University of Chile | UC · Departamento de Ingeniería Industrial y de Sistemas

This special issue aims to collect contributions that define the state of the art devoted to support decision-making in agriculture, which combines Operational Research methods and Big Data techniques to support many real-world problems in agricultural supply chains, land use, small scale farming, livestock, precision agriculture, smart farming, su...

Planning and scheduling the multiple bottling lines of large wineries can significantly increase or reduce inventory cost and bottling lines operating costs. It also determines how well they meet their clients' demand, which is critical for wineries. A good plan must consider demand, labour availability, bottling and labelling lines capacities, and...

Operations planning is an important step in any activity as it aligns resources to achieve economic production value. In agriculture operations where uncertainty is present, planners must deal with biological and environmental factors, among others, which add variability and complexity to the production planning process. In this work, we consider o...

The Chilean wine industry has been quite innovative in terms of winemaking and trading. Yet, to survive in this competitive industry, wine managers should be aware of the relevance of monitoring their performance. In this paper, we assess how the five wineries listed on the Santiago Stock Exchange of Chile are efficient while using their critical r...

In this paper, we present a novel multi-objective mixed-integer linear programming model to support wine grape harvesting. The proposed model considers the opposing nature of operational cost minimization and grape quality maximization, subject to several constraints, such as grape requirements and routing decisions. Based on the operations of a wi...

Many companies use optimization models to support their tactical planning production decisions. These tactical plans typically cover a horizon of several months. However, later on, when making daily or weekly operational decisions, inconsistencies may appear between the tactical and operational plans, due to various uncertainties and data aggregati...

Operations research models are increasingly being used to support decision making in the wine industry. However, they have not yet been used to support inventory management decisions. In this paper, we develop a heuristic procedure for managing the stock of premium wines motivated by the operations of a small export-focused winery we worked with. F...

Planning faces time dimensionality problems as instances size grows. In this work, we present a methodology to cope dimensionality. First, we defined a data structure to keep off time index in decision variables, which allowed us to construct a MIP model. Second, we solved the former problem using Constraint Generation. We tested this approach in w...

Proceedings of the 2nd International Conference on Agro Big Data and Decision Support Systems in Agriculture (BigDSSAgro 2018). Lleida, July 12-14, 2018. The conference has been organized jointly by the Department of Mathematics of the University of Lleida, Spain, hosting the event, and by the CYTED-funded BigDSSAgro network (Red Iberoamericana d...

Supporting wine production operations in an increasingly global market has grown ever more challenging. Export-focused wineries supply many foreign clients, often requiring different labels for the same kind of wine. Order forecasts tend to be highly inaccurate, and wineries must be able to quickly react to changes, making lot-sizing an important c...

We develop a tactical/operational model for planning the assignment of Wineries' Fermentation Tanks. We define a multi-criteria objective function that minimizes a combination of the total number of tank used and total wasted space in the tanks that are used. The model assists the winemaker in the assignment decision of harvested grapes to fermenta...

The article aims to describe, identify and classify application forms for Open Innovation, delivering specific cases for its justification. The methodology consisted of a critical review of the main theoretical fundamentals presented in the statement about art, the concept of Open Innovation, its evolution and application. The concept of Open Innov...

The article aims to describe, identify and classify application forms for Open Innovation, delivering specific cases for its justification. The methodology consisted of a critical review of the main theoretical fundamentals presented in the statement about art, the concept of Open Innovation, its evolution and application. The concept of Open Innov...

The Chilean wine industry faces a growing challenge in terms of the increasing global competition, along with other difficult challenges such as exchange rate fluctuations, higher labor and energy costs and climate change. In light of this, the present paper proposes a new approach to increase competitiveness of Chilean wineries based on findings o...

This article studies the positive and negative effects that fixed term maintenance contracts may have on related decision making. We present an original model to estimate such effects and select the optimal preventive maintenance intervals and contract terms for pieces of equipment which are serviced by an external party. In the context of the cont...

This paper examines whether different approaches for estimating the technical efficiency of a primary healthcare centre —PHC— can have significantly different results. Although effective regulation demands the development of measures for establishing good operation levels, few studies have compared results from a data envelopment analysis ―DEA― and...

Critical spare parts stock optimization has become a relevant topic for academy and industry. In most articles the problem has been stated as a trade-off between economic risks of shortages, and financial costs. Risk optimization in this context has been mainly studied from a logistics point of view. The most common decision variables have been sto...

The purpose of this article is to propose a Sustainable Balanced Scorecard model for Chilean wineries (SBSC). This system, which is based on the Balanced Scorecard (BSC), one of the most widespread management systems nowadays in the world, Rigby, and Bilodeau (2011), will allow the wine companies to manage the business in two dimensions: sustainabi...

Non-alcoholic beverage companies store a significant amount of data in their systems. However, by failing to convert this data into useful information for decision-making. Process mining aims to discover, monitor, and improve real processes by extracting knowledge from event logs available in current systems. This study provides a method for applyi...

Reliability of planning commitments at operational level is one of the key factors to improve project performance. The Last Planner System (LPS TM) is a tool designed to improve planning reliability in construction industry, however, the improvements in planning reliability are often limited due to the fact that the decision-making processes in con...

Optimization models are increasingly being used for planning natural resources operations. However, the inherent uncertainty present in natural resources makes it di�cult to directly apply their results. In particular, production scheduling for sawmills presents several challenges since the supply of logs and the �nished product orders are often un...

A dynamic biomass growth model for the mussel Mytilus chilensis in longline culture systems in proposed. This model determines the biomass by estimating the average weight and the number of mussels per meter of seeded rope, using real data. The average weight is estimated using the von Bertalanffy model modified to incorporate the availability of f...

A dynamic biomass growth model for the mussel Mytilus chilensis in longline culture systems in proposed. This model determines the biomass by estimating the average weight and the number of mussels per meter of seeded rope, using real data. The average weight is estimated using the von Bertalanffy model modified to incorporate the availability of f...

Chilean primary healthcare practice is analyzed using a Data Envelopment Analysis (DEA) multiple stage approach. We estimate the efficiency level of 259 municipalities nationwide. Since the efficiency score by itself is of limited value for decision making, we use a multivariate tool to help explain the effect of relevant factors. First, we use a c...

Buffers have been commonly used as a production strategy to protect construction processes from the negative impact of variability. Construction practitioners and researchers have proposed several buffering approaches for different production situations and contexts. However, these solutions have been impractical for managing buffers. To overcome t...

Buffers have been commonly used as a production strategy to protect construction processes from the negative impact of variability. Construction practitioners and researchers have proposed several buffering approaches for different production situations and contexts. However, these solutions have been impractical for managing buffers. To overcome t...

Production planning and scheduling for sawmills poses many challenges. The solution approaches most commonly used to tackle this problem in the forest industry are: simulation, mathematical programming models, and a combination of both. In this paper we compare the results of using a mathematical model versus a heuristic in scheduling and productio...

Commitment planning reliability at an operational level is a key factor for improving project performance. In the last 15 years, the Last Planner System, a production planning and control system based on lean production principles, has improved commitment planning reliability in the construction industry. However, many construction decision makers...

Optimization models are increasingly being used in agricultural planning. However, the inherent uncertainties present in agriculture make it difficult. In recent years, robust optimization has emerged as a methodology that allows dealing with uncertainty in optimization models, even when probabilistic knowledge of the phenomenon is incomplete. In t...

An important part of winemaking process depends on the oenologist. They determine when to pick the grapes, assign the vats and presses to process the wine, and manage operations within the winery. This requires making many decisions in a short period of time and with uncertain information. It is clear that oenologists would greatly benefit from dec...

The procurement process is critical for construction companies. To improve it, many are resorting to e-marketplaces although they usually do not know exactly how much they can gain by doing so. This paper describes a study that measured the benefits of using an e-marketplace to support the procurement process of a construction company. The study in...

To develop a model for detecting cases of organized fraud in Chile based on data from the legal forms for medically authorized leave (formulario legal de licencia médica curativa-MAL) and to establish the relevance of this data to fraud detection. A binomial logistic regression model was employed using four variables from the MAL form, a national r...

Th e construction industry is one of the main movers behind the economic development of any country. In the United States, in 1997, the construction sector represented 10% of the gross domestic product (GDP) [Allmon et al. 2000]. In the European Union, the construction sector is the largest sector of the economy, contributing approximately 11% of t...

The procurement process is critical for construction companies. In order to improve it, many are resorting to e-marketplaces although they usually do not know exactly how much they can gain by doing so. This paper describes a study that quantified the benefits of using an e-marketplace to support the procurement process of a construction company. I...

This article presents a practical tool for optimally scheduling wine grape harvesting operations taking into account both operational costs and grape quality. We solve a mixed-integer linear programming model to support harvest scheduling, labor allocation, and routing decisions. A quality loss function is used to represent wine quality reduction a...

Subcontracting has greatly increased in the con-struction industry. It helps shift risk from the main contrac-tor to the subcontractor and promotes specialization. Inade-quate subcontracting management, however, may result in an adversarial relationship between main contractors and their sub-contractors, uncoordinated on-site execution, and disappo...

The logistics of sulfuric acid in Chile have become increasingly important as stricter environmental laws are enacted and enforced. Large copper companies are very concerned about this problem since they are both producers and consumers of sulfuric acid. Since storing, shipping and disposing of sulfuric acid is relatively expensive, there is a stro...

The natural gas supply chain involves three main agents: producers, transportation companies, and local distribution companies (LDCs). We present a MIP model that is the basis for a decision support system developed for a Chilean LDC. This model takes into account many of the complexities of the purchasing and transportation contracts to help optim...

Decision makers today need to be able to rapidly find good solutions to increasingly complex problems. Optimization-based decision support systems (OBDSSs) can help decision makers to meet this challenge. Building such systems, however, is expensive and time consuming.In this paper we present the design of an OBDSS generator that greatly automates...

The quality and condition of the grape that is received at the winery strongly influences the quality of the wine. We focused on two aspects that depend on the decisions that are made during the vintage: the ripeness of the grape when it is harvested and the premature fermentation it may experience while waiting to be processed. The decision-maker...

An approach for decision support under uncertainty based on a nondeterministic possibilistic approach is considered. Problem uncertainties are defined by fuzzy numbers and characterized by membership functions. A method for the efficient numerical implementation of the proposed decision support system is presented. The method is basically an algebr...

The availability of increasingly powerful computers at a decreasing cost and the advances in Operations Research/Management Science (OR/MS) have made it possible to solve larger and more complicated problems than ever before. Many decision-makers, however, still continue to use very basic tools to support their decisions. We believe this is largely...

We developed and implemented optimization-based decision support systems (OBDSSs) to support production planning at CTI (an appliance-manufacturing firm) using new methodologies and tools based on structured modeling. These tools can reduce the time and cost required to build such systems. We released different versions of these systems, which prog...

It is well known that labor productivity has a big impact on the performance of construction projects. Some of the factors that influence workers productivity are their level of motivation and work satisfaction. These factors are also crucial for construction companies in their efforts to retain key construction personnel. This is becoming increasi...

Given the inherent complexity of vehicle routing and production planning decision support systems, designing user interfaces for them is challenging and can make a big difference in the usability of these systems. Many heuristic and optimization-oriented systems that have been implemented for this type of problem have failed in part due to a poor g...

This paper discusses the implementation of optimization based DSSs. An approach is proposed that will enable OR/MS analysts to develop this kind of system much more efficiently than is possible today. The aim is to develop systems with modern GUIs, that interact with DBMSs, and that can be built with little programming effort. Many of the tools req...

Modeling languages have become one of the most important tools in helping to make Mathematical Programming technology easier to use. Having proven its usefulness, more attention is now being given to the improvement of the design and implementation of these languages. This paper reviews some of the main issues that arise in the design of modeling l...

This paper describes the design and implementation of the prototype structured modeling environment FW/SM. The underlying design principles provide the central focus. Other points of interest include discussions of FW/SM's delivery platform, its interface to external packages, and its optimization interfaces. The intended audience is all modeling s...

This paper illustrates the use of a simulation model to explore ways to decrease idle time due to the lack of available working inventory during the primary phase in the construction of a multi-story building. Two strategies are analyzed: increased frequency of concreting operations and the use of multi-skilled workers who use their additional trad...

Incluye resumen en inglés. Tesis (Ingeniero Civil Industrial, Diploma en Ingeniería de Transporte) -- Pontificia Universidad Católica de Chile, 2006. Incluye bibliografía.

Tesis (Ingeniero Civil de Industrias, Diploma en Ingeniería de Bioprocesos) -- Pontificia Universidad Católica de Chile, 2007. Incluye bibliografía.

Tesis (Magíster en Ingeniería)--Pontificia Universidad Católica de Chile, 2006. Incluye resumen en español e inglés. Incluye bibliografía.

Thesis (M.S.)--University of California, Los Angeles, 1986. Includes bibliographical references (leaves 110-111).