Manuel Díaz-Madroñero

• Professor
• Professor (Full) at Polytechnic University of Valencia

This chapter begins by introducing non-linear programming. Next it proposes the formulation of a series of non-linear programming problems with their corresponding solutions. Specifically, multimodal and multivariable problems with inequality constraints are modelled. The solution is done by applying the Kuhn-Tucker conditions. It sets out differen...

This chapter commences with an introduction to linear programming. This is followed by a varied set of linear programming problems with their corresponding solutions. This chapter aims to help learn the formulation, resolution and interpretation of linear programming models and to show some of their applications in the industrial engineering and ma...

This chapter begins with an introduction to Games Theory, describes types of competitive problems, which can be modelled and solved by the Games Theory, and also provides details of solution methods for zero-sum games with two players. Then it proposes a varied combination of Games Theory problems and provides their corresponding solution. This cha...

This chapter begins with an introduction to the Graph Theory or Network Modelling. Next, the formulation of a varied set of network modelling problems is proposed with the corresponding solution. Specifically, shortest path problems, maximal flow problems, minimal spanning tree problems and minimal cost flow problems are contemplated. The solution...

This chapter begins with an introduction to the Inventory Theory. Next it proposes the formulation of a varied set of theoretical inventory-related problems with their corresponding solutions. Specifically, basic EOQ (economic order quantity) problems, EOQ problems with non-null lead times, EOQ problems with discount for volume and EOQ problems wit...

This Chapter begins with an introduction to dynamic programming. It describes the typology of the problems, which can be divided into subproblems, to be solved by dynamic programming and it explains the formulation to employ for modelling, which focuses on determining the recursive function. Then it proposes a varied set of dynamic programming prob...

This chapter begins with an introduction to the Queueing Theory. Then it proposes the formulation of a varied set of Queueing Theory problems with their corresponding solutions. Here problems relating to steady-state queueing models performance measures with, for example, one queue, one serve and an infinite population, one queue, one server and a...

Forecasting is a discipline that has developed considerably in the last three decades in the operational research and industrial engineering field. According to (Fildes et al. in J Oper Res Soc, 2008), four main forecasting approaches can be distinguished: (1) extrapolation; (2) causal and multivariate methods; (3) judgmental forecasting; (4) compu...

Industry 5.0, seen as the successor to Industry 4.0, is characterized by a focus on human-machine collaboration, resilience, and sustainability concepts. This paper delves into the exploration of enabling technologies that facilitate the evolution of both I4.0 and I5.0, in the context of supporting supply chain (SC) logistics. The paper defines the...

Given the demands and social awareness of the environment, today it is important to link operations in a company with processes that allow sustainability circles to be created. The main research objective of this article is to propose a methodology for the design and management of operations strategies in global supply chains with a circular econom...

This paper aims to determine the relations between Industry 4.0 (I4.0) technologies and lean manufacturing (LM) practices to provide a lean supply chain management 4.0 (LSCM 4.0) framework. First, a systematic review of the scientific literature on LSCM 4.0 is presented to examine its content and degree of contextualization. Next a general LSCM 4.0...

Este artículo presenta una revisión bibliográfica de los algoritmos de aprendizaje automático utilizados para dar solución a la problemática de los MARS para la PCP productivas y logísticas. Se ha analizado y clasificado la información en base al criterio aplicación en las industrias donde los resultados más relevantes fueron con un 60% experimenta...

The purpose of this paper is to present a conceptual framework to facilitate academics and practitioners’ decision making related to multi-objective facility layout planning (mFLP) by employing a bottom-up approach. Based on a literature survey framed in the mFLP context, this work identified and discussed a set of criteria that have become limitat...

Dynamic facility layout planning (DFLP) involves determining an appropriate arrangement scheme of the elements making up the production system for each time period into which the planning horizon is divided. When formulating the problem as an optimisation model, using the traditional top-down approach is usual, which firstly determines the block la...

The objective of this paper is to examine the use and applications of reinforcement learning (RL) techniques in the production planning and control (PPC) field addressing the following PPC areas: facility resource planning, capacity planning, purchase and supply management, production scheduling and inventory management. The main RL characteristics...

A lean supply chain (LSC) is a set of organizations directly linked by upstream and downstream value streams between processes that work collaboratively to reduce costs and waste. Currently, supply chains (SCs) have been put to the test as the world has had to face a series of unprecedented disruptions in demand and supply caused by the COVID-19 pa...

This paper aims to propose a model for solving a capacitated lot-sizing problem with sequence-dependent setups (CLSD) and parallel machines in a bi-part injection moulding (BPIM) context that consists of injecting two different parts or products into the same mould in separate injection cavities. These two parts require the same sequence order and...

The internationalisation of the manufacturing operations process includes decision-making about new facility implementation (NFI) and global supplier network development (GSND), whose first step is to analyse the situation of a company and its environment. The purpose of this paper is to investigate the optimal design of a manufacturing production...

This article identifies the advances, advantages, limitations, requirements and current methodologies in implementing the strategic Industry 4.0 (I4.0) initiative. It focuses on all research works mainly on production planning. To do so, it proposes a taxonomy of the principles of I4.0 design terms that contemplates the following classification asp...

Facility layout planning (FLP) involves a set of design problems related to the arrangement of the elements that shape industrial production systems in a physical space. The fact that they are considered one of the most important design decisions as part of business operation strategies, and their proven repercussion on production systems’ operatio...

The facility layout design problem is significantly relevant within the business operations strategies framework and has emerged as an alternate strategy towards supply chain sustainability. However, its wide coverage in the scientific literature has focused mainly on the static planning approach and disregarded the dynamic approach, which is very...

One of the main problems of the water treatment plants is the high energy consumption they have to face. Therefore, reducing energy consumption is an imperative objective for these facilities. This work proposes a mathematical programming model for the capacity planning and the management of water treatment plants using dilution process that will r...

More and more construction projects are closed before they ever start. Among the most significant reasons for project failures is cost risk. Construction companies have many problems with reliable cost management. Rising demands of the key market players insist on making construction projects more sustainable according to the simultaneous improveme...

This paper considers a real-world automobile second-tier supplier that manufactures decorative surface finishings of injected parts provided by several suppliers, and which devises its master production schedule by a manual spreadsheet-based procedure. The imprecise production time in this manufacturer’s production process is incorporated into a de...

p class="Abstract">El establecimiento de los nuevos planes de estudio en el Espacio Europeo de Educación Superior así como la inclusión de las competencias transversales en la evaluación de los títulos junto la aparición de las nuevas herramientas de las tecnologías de la información ha propiciado el desarrollo de la innovación en las estrategias d...

Currently, the management of water networks is key to increase their sustainability. This fact implies that water managers have to develop tools that ease the decision-making process in order to improve the efficiency of irrigation networks, as well as their exploitation costs. The present research proposes a mathematical programming model to optim...

This paper proposes a rolling horizon (RH) approach to deal with management problems under dynamic demand in planning horizons with variable lead times using system dynamics (SD) simulation. Thus, the nature of dynamic RH solutions entails no inconveniences to contemplate planning horizons with unpredictable demands. This is mainly because informat...

Este libro presenta las experiencias y los resultados en el ámbito de la innovación y mejora educativa que se han llevado a cabo en la Escuela Politécnica Superior de Alcoy (EPSA) de la Universitat Politècnica de València (UPV) a lo largo de los cursos académicos 2014-2018.Las innovaciones y mejoras educativas abordadas se han centrado, principalme...

Cloud collaborative manufacturing networks (C2NET), European H2020 funded, project has three main areas of research, including data collection, optimisation and collaboration tools. The three modules are integrated in the C2NET cloud platform. This paper focuses on the C2NET optimiser module that gathers a collection of algorithms to address enterp...

La adaptación de la universidad al Espacio Europeo de Educación Superior está llevando a la realización de cambios sustanciales en muchos aspectos vinculados a su modelo pedagógico, por ejemplo, la incorporación de metodologías activas orientadas al aprendizaje e integradas en las dinámicas de las clases. En este sentido, en el presente trabajo se...

Water management is currently a priority in all integrated water cycle sections when a close relation between water and energy is considered. Wastewater treatment plants are high-energy consumers and, therefore, energy reduction is necessary to improve the energy footprint and to also reduce operating costs. This research presents a combined strate...

La actual falta de competitividad de las empresas europeas ha llevado al proyecto Europeo C2NET a desarrollar una solución de optimización que proporcione a las empresas medios sencillos y económicos para optimizar sus actividades de planificación y mejorar su eficiencia y competitividad. Este artículo se centra en la descripción del Optimizador, a...

p>The goal of C2NET European H2020 Funded Project is the creation of cloud-enabled tools for supporting the SMEs supply network optimization of manufacturing and logistic assets based on collaborative demand, production and delivery plans. In the scope of C2NET Project, and particularly in the Optimisation module (C2NET OPT), this paper proposes a...

This paper extends Gupta and Magnusson’s (Comput Oper Res 32:727–747, 2005) original proposal for the single machine Capacitated Lot-sizing Scheduling Problem (CLSP) with sequence-dependent setup costs to adapt it to a second-tier supplier in the automotive sector. We propose an extended mixed-integer program for the single machine CLSP that addres...

En este trabajo se propone un modelo de programación lineal entera para planificar la producción de un conjunto de artículos finales con demanda independiente. El modelo para la planificación maestra de producción (PMP) está diseñado considerando los costes de producción e inventario, así como las restricciones definidas por el mismo proceso produc...

The development tools to optimize the process and helping management to get margin are used inside of the industrial manufacture. Water networks management are not alien to this need. The optimization of the water resource is currently done in big basins, but it is not a general practice in irrigation networks that operate as water distribution com...

En este trabajo se propone una arquitectura para la previsión, planificación y reaprovisionamiento colaborativo en un entorno de personalización en masa. Para ello, se identifica las actividades principales de los modelos colaborativos más destacados y los procesos principales asociados a los entornos de personalización en masa. Para llegar a ésta,...

In this paper, we propose a new mathematical programming model for integrating production and procurement transport planning decisions in manufacturing systems in a unique optimization model. This problem was introduced conceptually and dubbed as MRP IV by Díaz-Madroñero et al. (2012) to extend the current MRP (material requirement planning) system...

Este artículo propone y desarrolla un procedimiento para la evaluación de la competencia transversal de trabajo en equipo en la asignatura de Métodos Cuantitativos para la Ayuda a la Toma de Decisiones del tercer curso del Grado en Administración y Dirección de Empresas. Dicha asignatura se imparte en la Escuela Politécnica Superior de Alcoy de la...

This paper proposes a decentralised planning optimisation approach by using mathematical programming and negotiation mechanisms in a collaborative network. Two partners addressing the replenishment and production stages are considered. Concretely, production scheduling plans and material requirement plans, modelled by two mixed-integer programming...

This paper proposes a fuzzy multi-objective integer linear programming (FMOILP) approach to model a material requirement planning (MRP) problem with fuzzy lead times. The objective functions minimise the total costs, back-order quantities and idle times of productive resources. Capacity constraints are included by considering overtime resources. In...

En este trabajo se presenta la experiencia en el uso de un sistema de ejecución de fabricación, denominado MESView, para las sesiones prácticas de la asignatura Sistemas de Información del Máster Universitario de Ingeniería de Organización y Logística de la UPV. A través de un ejemplo sencillo basado en una empresa del sector de la industria alimen...

This paper proposes a fuzzy multi-objective integer linear programming approach to model a material requirement planning (MRP) problem with fuzzy lead times. We incorporate to the crisp MRP model the possibility of occurrence of each one of the possible lead times. Then, an objective function that maximizes the possibility of occurrence of the lead...

This paper models a traditional supply chain with three levels, manufacturer and retailer, for managing the orders and inventories of perishable products. A hybrid approach, based on systems dynamics and optimization, was used to reduce the bullwhip effect along the supply chain, increase fill rates and reduce total costs (order, inventory and stoc...

This paper presents a review of tactical optimization models for integrated production and transport routing planning decisions. The objective of this research is to identify current trends and future research directions in this field, and to propose a classification framework based on the following elements: production, inventory and routing aspec...

In this paper, we formulate the material requirements planning) problem of a first-tier supplier in an automobile supply chain through a fuzzy multi-objective decision model, which considers three conflictive objectives to optimise: minimisation of normal, overtime and subcontracted production costs of finished goods plus the inventory costs of fin...

This chapter commences with an introduction to linear programming. This is followed by a varied set of linear programming problems with their corresponding solutions. This chapter aims to help learn the formulation, resolution and interpretation of linear programming models and to show some of their applications in the industrial engineering and ma...

This chapter begins with an introduction to dynamic programming, it describes the typology of the problems, which can be divided into subproblems, to be solved by dynamic programming and it explains the formulation to employ for modelling, which focuses on determining the recursive function. Then it proposes a varied set of dynamic programming prob...

This chapter begins with an introduction to the inventory theory. Next, it proposes the formulation of a varied set of theoretical inventory-related problems with their corresponding solutions. Specifically, basic EOQ (economic order quantity) problems, EOQ problems with non-null lead times, EOQ problems with discount for volume and EOQ problems wi...

This chapter begins with an introduction to Games Theory, describes types of competitive problems, which can be modelled and solved by the Games Theory, and also provides details of solution methods for zero-sum games with two players. Then, it proposes a varied combination of Games Theory problems and provides their corresponding solution. This ch...

This chapter starts with an introduction to Decision Theory. Then, a varied set of Decision Theory problems is proposed with their corresponding solutions. This chapter aims to provide a better understanding of modelling decision problems by means of decision trees. Thus, low-risk decision problems are set out in which the decision maker can acquir...

This chapter begins with an introduction to the Queueing Theory. Then it proposes the formulation of a varied set of Queueing Theory problems with their corresponding solutions. Here problems relating to steady-state queueing models performance measures with, for example, one queue, one serve and an infinite population, one queue, one server and a...

Jiménez et al. (2007) propose a method for solving linear programming problems with fuzzy coefficients by using a fuzzy ranking method to rank the fuzzy objective values and to deal with the inequality relation on constraints with decision variables considered to be real numbers. Here, we formulate an extended fuzzy ranking method to deal with equa...

Supply chain model (SCM) are potentially capable to integrate different aspects in supporting decision making for enterprise management tasks. The aim of the paper is to propose an hybrid mathematical programming model for optimization of production requirements resources planning. The preliminary model was conceived bottom-up from a real industria...

This study presents a review of optimization models for tactical production planning. The objective of this research is to identify streams and future research directions in this field based on the different classification criteria proposed. The major findings indicate that: (1) the most popular production-planning area is master production schedul...

En el presente trabajo se aplica el enfoque predictivo-reactivo para la generación de programas productivos y se sugiere su aplicación en las empresas cerámicas que, bajo el tradicional enfoque estático, necesiten mantener esta información como base de su proceso decisional, para coordinar las entregas de materiales por parte de los proveedores, re...

In this work a predictive-reactive approach is applied for generating productive schedules and its application is suggested in ceramic companies that, following a traditional static approach, they need to keep this information as a beginning of its decisional process, in order to coordinate material delivering from providers, to carry out a close/f...

We consider a real-world automobile supply chain in which a first-tier supplier serves an assembler and determines its procurement transport planning for a second-tier supplier by using the automobile assembler’s demand information, the available capacity of trucks and inventory levels. The proposed fuzzy multi-objective integer linear programming...

Distributed Decision Making (DDM) is a discipline of decision theory in which decision making power is distributed among several decision making units. Supply Chain planning problems usually involve multiple decision makers, making DDM highly suitable for realistic modelling. Furthermore, due to the complexity and dynamism of supply chain environme...

The objective of this book is to provide a valuable compendium of problems as a reference for undergraduate and graduate students, faculty, researchers and practitioners of operations research and management science. These problems can serve as a basis for the development or study of assignments and exams. Also, they can be useful as a guide for th...

We propose a conceptual model for a representative cost structure associated to the internationalisation of operations. The main contribution of this paper for researchers and industry practitioners is the identification of cost issues in order to reduce the number of unexpected costs related with companies that have internationalised their operati...

In this paper, a mixed-integer mathematical programming model is proposed to address a production and routing problem related to inbound logistics processes in supply chains environments. This model is also enriched with sustainable issues related to routing decisions by introducing additional fuel consumption and pollutants emissions calculations...

This paper proposes a method for solving fuzzy integer programming problems where all the cost coefficients of the objective function and the right hand side terms of equality constraints are, in general, fuzzy numbers. We formulate a modified fuzzy ranking method to rank the fuzzy objective values and to deal with the equality relation on constrai...

This chapter begins by introducing integer linear programming. Then, it proposes a mixed set of integer linear programming problems and provides their solutions. This chapter aims to provide a better understanding of the formulation of integer linear programming models. It pays special attention to the use of binary decision variables to express th...

This chapter begins with an introduction to Markov chains in which different calculations to characterise and analyse a system which has been modelled by a Markov chain are described. Then a varied set of Markov chain problems is proposed and their corresponding solutions are provided. The objective of this chapter is to provide a better understand...

This chapter begins with an introduction to the Graphs Theory or Network Modelling. Next, the formulation of a varied set of network modelling problems is proposed with the corresponding solution. Specifically, shortest path problems, maximal flow problems, minimal spanning tree problems and minimal cost flow problems are contemplated. The solution...

This chapter begins by introducing non-linear programming. Next, it proposes the formulation of a series of non-linear programming problems with their corresponding solutions. Specifically, multi-modal and multi-variable problems with inequality constraints are modelled. The solution is done by applying the Kuhn-Tucker conditions. It sets out diffe...

This chapter proposes a fuzzy nonlinear programming model for intermittent demand forecasting purposes. The authors formulated the Syntetos and Boylan (SB) forecasting method as a crisp nonlinear programming model. They also attempted to improve it with a new fuzzy nonlinear programming formulation. This fuzzy model is based on fuzzy decision varia...

This article proposes a simulation approach based on system dynamics for operational procurement and transport planning in a two-level, multi-product and multi-period supply chain. This work uses the Vensim® simulation tool to highlight the potential of system dynamics for supply chain simulation. A real continuous simulation application is present...

In this paper, we present a software tool entitled ADGIP (version 2012), with free access under the Creative Commons licence, for the modelling and resolution of decision trees for the multi-stage decision making and that contemplates the evaluation of the incorporation of additional information by using the Bayes theorem. Finally, it is presented...

This chapter presents an extended conceptual model, the material requirement planning (MRP) IV, which integrates material planning, production resource capacities and transport planning decisions, and which serves as a guideline to develop resolution models and algorithms that overcome deficiencies in current MRP systems. The system is an essential...

Export Date: 12 May 2014, Source: Scopus