Um Modelo de otimiza����o inteira mista na programa����o de produ����o de mangueiras hidr��ulicas

This work deals with a problem of mixed integer optimization model applied to production planning of a real world factory that aims for hydraulic hose production. To optimize production planning, a mathematic model of MILP Mixed Integer Linear Programming, so that, along with the Analytic Hierarchy process method, would be possible to create a hierarchical structure of the most import criteria for production planning, thus finding through a solving software the optimum hose attribution to its respective machine. The hybrid modeling of Analytic Hierarchy Process along with Linear Programming is the focus of this work. The results show that using this method we could unite factory reality and quantitative analysis and had success on improving performance of production planning efficiency regarding product delivery and optimization of the production flow

Aplica����o de m��todos com m��ltiplos crit��rios em uma empresa petroqu��mica

The corporate world is increasingly competitive, and companies need to go deep into the routines and work them in order to understand them fully. The market is demanding more than simple improvements that bring advances - of small or great expression; however, in a longer term it will no longer meet the ideology of the market. Companies aimed at the world class must focus on projects that will continually bring returns to the company. As previously mentioned, understanding the processes in minute details is of paramount importance, as this knowledge can be acquired by analyzing the decisions that are necessary during the process. Once the complexity increases, the quantity and difficulty of the criteria that influence them grow accordingly. At this time, methods and tools that assist decisionmaking processes can be used as, besides being able to provide the best decision methods of MCDA (Multiple Criteria Decision Aid), they provide clear and assertive understanding of the whole decision process. In developing this study, we sought to explore the AHP (Analytic Hierarchy Process) method (a MCDA method) in the choice of access service, featured by the support service used to reach and be the basis of repairs in places of difficult access. This work proposes a study of the quantitative modeling approach in a real routine activity for a Brazilian petrochemical company. Decision-making processes are explored when we seek to analyze not only the decision makers but also what directly influences them on the use of the AIJ method. Once this is achieved, the understanding of decision-making is substantiated

Um Modelo de otimiza����o inteira mista na programa����o de produ����o de mangueiras hidr��ulicas

This work deals with a problem of mixed integer optimization model applied to production planning of a real world factory that aims for hydraulic hose production. To optimize production planning, a mathematic model of MILP Mixed Integer Linear Programming, so that, along with the Analytic Hierarchy process method, would be possible to create a hierarchical structure of the most import criteria for production planning, thus finding through a solving software the optimum hose attribution to its respective machine. The hybrid modeling of Analytic Hierarchy Process along with Linear Programming is the focus of this work. The results show that using this method we could unite factory reality and quantitative analysis and had success on improving performance of production planning efficiency regarding product delivery and optimization of the production flow

Desarrollo de un algoritmo de decisi��n multicriterio para la gesti��n de listas de espera en la solicitud de Holter

Las listas de espera son un problema para la mayor parte de los pa��ses que cuentan con un Sistema Nacional de Salud. El presente trabajo propone analizar el problema de las listas de espera desde una perspectiva de Decisi��n Multicriterio. Tras un an��lisis de las diferentes metodolog��as existentes, hemos elaborado un modelo de decisi��n basado en el m��todo AHP (Analytic Hierarchy Process) para la gesti��n de listas de espera y lo hemos aplicado a un Hospital de la Comunidad de Madrid. La decisi��n multicriterio MCDM (Multiple Criteria Decision Making) es la teor��a que estudia y analiza los problemas de decisi��n que involucran diferentes criterios. La MCDM enmarca con precisi��n problemas reales de toma de decisiones, planteados usualmente haciendo uso de varios criterios en conflicto; en los cuales, no ser�� posible obtener en general una soluci��n que asigne a todos los criterios su mejor valor sino que el decisor, aplicando distintas t��cnicas, deber�� decidir la mejor soluci��n a escoger del conjunto de soluciones factibles. El fundamento del AHP radica en descomponer problemas complejos en otros m��s sencillos y agregar las soluciones de los mismos. Seg��n la propuesta de Saaty, el primer paso para la aplicaci��n de este m��todo es estructurar jer��rquicamente el problema en niveles con distintos nodos interconectados. El primer nivel de la jerarqu��a corresponde al prop��sito del problema, el nivel/niveles intermedios a los criterios/subcriterios en base a los cuales se forma la decisi��n y el ��ltimo corresponde a las alternativas o soluciones factibles del problema. La aplicaci��n del m��todo AHP requiere: -Realizar comparaciones por pares entre los entes de cada nivel jer��rquico, en base a la importancia que presentan para el nodo del nivel superior de la jerarqu��a al que est��n ligados. Los resultados de estas comparaciones se recogen en forma de matrices de comparaci��n por pares. -Obtener los vectores de prioridad correspondientes a cada una de las matrices de comparaci��n por pares. -Calcular la contribuci��n de cada alternativa al prop��sito del problema, mediante una agregaci��n multiplicativa entre los niveles jer��rquicos y en funci��n de estos valores, ordenar las alternativas y seleccionar lo m��s conveniente como soluci��n del problema. Como ��ltimo paso en la metodolog��a AHP debemos se��alar que, cualquiera que sea el m��todo empleado para sintetizar la informaci��n de dichas matrices para determinar los vectores de prioridad de los entes que se comparan, es posible realizar un an��lisis de sensibilidad del resultado alcanzado, visualizando y analizando otras posibles soluciones a obtener haciendo cambios en los juicios de valor emitidos por la unidad decisora al construir dichas matrices. El software Expert-Choice permite realizar el an��lisis de sensibilidad de 5 formas diferentes. En estos an��lisis se realizan variaciones en el valor de un peso o prioridad y se observa num��rica y gr��ficamente como este cambio afecta a la puntuaci��n de las alternativas.

Investigaci��n sobre indicadores y criterios de sostenibilidad en la integraci��n puerto-ciudad

La Tesis Doctoral est�� organizada de la siguiente manera, la primera parte es la introducci��n e incluye los cap��tulos 1 y 2 en los que se plantea la problem��tica general puerto-ciudad y los antecedentes hist��ricos en la evoluci��n de los puertos y su relaci��n con las ciudades. A continuaci��n en el cap��tulo 3 se realiza una revisi��n de literatura repasando algunos de los estudios e investigaciones que han inspirado esta Tesis Doctoral. Posteriormente en el cap��tulo 4 se exponen las bases de partida que sirve para fundamentar la propuesta metodol��gica que se expone en el cap��tulo 5 basada en la aplicaci��n del m��todo AHP sobre una relaci��n de ��ndices e indicadores producto de la investigaci��n. Finalmente, el cap��tulo 6 presenta las conclusiones y las l��neas de investigaci��n que quedan abiertas. This Thesis is organized as follows, the first part is the introduction and includes chapters 1 and 2 in which the general problem and historical background of the port-city relationship are presented. Then in chapter 3 a literature review is done by reviewing some of the studies and researches that have inspired this research. Later in chapter 5 the methodology based on the application of AHP (Analytic Hierarchy Process) method is formulated. This methodology uses a list of indicators deduced from the previous chapters. Finally, Chapter 6 presents the conclusions and suggests future research.

Criteria for ERP selection using an AHP approach

Information systems are a foundation key element of modern organizations. Quite often, chief executive officers and managers have to decide about the acquisition of new software solution based in an appropriated set of criteria. Analytic Hierarchy Process (AHP) is one technique used to support that kind of decisions. This paper proposes the application of AHP method to the selection of ERP (Enterprise Resource Planning) systems, identifying the set of criteria to be used. A set of criteria was retrieved from the scientific literature and validated through a survey-based approach.

M��todo AHP como optimiza����o na selec����o de fornecedores numa empresa de materiais de constru����o

Nos dias que correm cada vez mais a diferen��a entre o sucesso e o fracasso de uma empresa depende da estrat��gia que escolhem seguir, sendo de igual forma importante maximizar quer os recursos materiais quer os recursos humanos. Assim sendo, cada vez mais empresas optam por incentivar os seus colaboradores a desempenhar um papel importante no processo de decis��o. Para isso a estrat��gia da empresa tem de estar alinhada com cada actividade desempenhada pelos seus colaboradores. Esta disserta����o tem por base uma pesquisa de v��rios m��todos multicrit��rio existentes, tendo sido escolhido o m��todo Analytic Hierarchy Process (AHP) para determinar o melhor fornecedor de cimento para a empresa Materiais de Constru����o da Minhoteira, Lda. Foi ent��o necess��rio desenvolver um software tendo por base o Excel que permitisse fazer a an��lise das diversas alternativas perante os crit��rios mencionados. A aplica����o inform��tica ���Make and Choice��� procura contribuir da melhor forma para uma escolha potencialmente mais acertada. Conclui-se que ���Make and Choice���, utilizando o m��todo AHP, foi adequada para conseguir responder a todos os objectivos inicialmente propostos, foi ainda poss��vel verificar os benef��cios que adv��m da sua aplica����o. E desta forma, perceber que �� poss��vel ter o aux��lio na tomada de decis��o de ferramentas ou m��todos que permitem obter a melhor solu����o.

Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approach

The painting activity is one of the most complex and important activities in automobile manufacturing. The inherent complexity of the painting activity and the frequent need for repainting usually turn the painting process into a bottleneck in automobile assembly plants, which is reflected in higher operating costs and longer overall cycle times. One possible approach for optimizing the performance of the paint shop is to improve the efficiency of the color planning. This can be accomplished by evaluating the relative merits of a set of vehicle painting plans. Since this problem has a multicriteria nature, we resort to the multicriteria decision analysis (MCDA) methodology to tackle it. A recent trend in the MCDA field is the development of hybrid approaches that are used to achieve operational synergies between different methods. Here we apply, for the first time, an integrated approach that combines the strengths of the analytic hierarchy process (AHP) and the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE), aided by Geometrical Analysis for Interactive Aid (GAIA), to the problem of assessing alternative vehicle painting plans. The management of the assembly plant found the results of value and is currently using them in order to schedule the painting activities such that an enhancement of the operational efficiency of the paint shop is obtained. This efficiency gain has allowed the management to bid for a new automobile model to be assembled at this specific plant.

Transitoreitin valintaan vaikuttavat tekij��t autotoimialalla: AHP:n soveltaminen

T��m��n ty��n tavoitteena on selvitt���� transitoreitin valintaan vaikuttavat tekij��t sek�� Suomen reitin kilpailutekij��t verrattuna Baltian maiden, Saksan-Puolan ja Ven��j��n omiensatamien reitteihin. Lis��ksi tavoitteena on testata analyyttista hierarkiaprosessia (AHP) transitoreitin valintaan. Ty��ss�� hy��dynnet����n Suomessa, Ven��j��ll�� ja Baltian maissa logistiikkayritysten, ministeri��iden ja viranomaisten kanssa tehtyj�� asiantuntijahaastatteluja. Lis��ksi suurimmille autotoimialan yrityksille toteutetaan kysely transitoreitin valintaan vaikuttavista tekij��ist��. Ty��ss�� muodostetaan hierarkia reitin valintaan vaikuttavista tekij��ist��. Lis��ksi lasketaan analyyttisen hierarkiaprosessin mukaiset painotukset reitin valintaan vaikuttaville tekij��ille ja eri reittien kilpailukykyer����n autotoimialan vastaajan tapauksessa.

Searching for consensus in ahp-group decision making. A bayesian perspective

This paper sets out to identify the initial positions of the different decisionmakers who intervene in a group decision making process with a reducednumber of actors, and to establish possible consensus paths between theseactors. As a methodological support, it employs one of the most widely-knownmulticriteria decision techniques, namely, the Analytic Hierarchy Process(AHP). Assuming that the judgements elicited by the decision makers follow theso-called multiplicative model (Crawford and Williams, 1985; Altuzarra et al.,1997; Laininen and H��m��l��inen, 2003) with log-normal errors and unknownvariance, a Bayesian approach is used in the estimation of the relative prioritiesof the alternatives being compared. These priorities, estimated by way of themedian of the posterior distribution and normalised in a distributive manner(priorities add up to one), are a clear example of compositional data that will beused in the search for consensus between the actors involved in the resolution ofthe problem through the use of Multidimensional Scaling tools

An analytic approach to distribution logistics strategic management

Logistics management is increasingly being recognised by many companies to be of critical concern. The logistics function includes directly or indirectly many of the new areas for achieving or maintaining competitive advantage that companies have been forced to develop due to increasing competitive pressures. The key to achieving a competitive advantage is to manage the logistics function strategically which involves determining the most cost effective method of providing the necessary customer service levels from the many combinations of operating procedures in the areas of transportation, warehousing, order processing and information systems, production, and inventory management. In this thesis, a comprehensive distribution logistics strategic management process is formed by integrating the periodic strategic planning process with a continuous strategic issues management process. Strategic planning is used for defining the basic objectives for a company and assuring co operation and synergy between the different functions of a company while strategic issues management is used on a continuous basis in order to deal with environmental and internal turbulence. The strategic planning subprocess consists of the following main phases: (1) situational analyses, (2) defining the vision and strategic goals for the logistics function, (3) determining objectives and strategies, (4) drawing up tactical action plans, and (5) evaluating the implementation of the plans and making the needed adjustments. The aim of the strategic issues management subprocess is to continuously scan the environment and the organisation for early identification of the issues having a significant impact on the logistics function using the following steps: (1) the identification of trends, (2) assessing the impact and urgency of the identified trends, (3) assigning priorities to the issues, and (4) planning responses to the, issues. The Analytic Hierarchy Process (AHP) is a systematic procedure for structuring any problem. AHP is based on the following three principles: decomposition, comparative judgements, and synthesis of priorities. AHP starts by decomposing a complex, multicriteria problem into a hierarchy where each level consists of a few manageable elements which are then decomposed into another set of elements. The second step is to use a measurement methodology to establish priorities among the elements within each level of the hierarchy. The third step in using AHP is to synthesise the priorities of the elements to establish the overall priorities for the decision alternatives. In this thesis, decision support systems are developed for different areas of distribution logistics strategic management by applying the Analytic Hierarchy Process. The areas covered are: (1) logistics strategic issues management, (2) planning of logistic structure, (3) warehouse site selection, (4) inventory forecasting, (5) defining logistic action and development plans, (6) choosing a distribution logistics strategy, (7) analysing and selecting transport service providers, (8) defining the logistic vision and strategic goals, (9) benchmarking logistic performance, and (10) logistic service management. The thesis demonstrates the potential of AHP as a systematic and analytic approach to distribution logistics strategic management.

Searching for consensus in ahp-group decision making. A bayesian perspective

This paper sets out to identify the initial positions of the different decision makers who intervene in a group decision making process with a reduced number of actors, and to establish possible consensus paths between these actors. As a methodological support, it employs one of the most widely-known multicriteria decision techniques, namely, the Analytic Hierarchy Process (AHP). Assuming that the judgements elicited by the decision makers follow the so-called multiplicative model (Crawford and Williams, 1985; Altuzarra et al., 1997; Laininen and H��m��l��inen, 2003) with log-normal errors and unknown variance, a Bayesian approach is used in the estimation of the relative priorities of the alternatives being compared. These priorities, estimated by way of the median of the posterior distribution and normalised in a distributive manner (priorities add up to one), are a clear example of compositional data that will be used in the search for consensus between the actors involved in the resolution of the problem through the use of Multidimensional Scaling tools

Using the Analytic Network Process to evaluate the relation between Reverse Logistics and corporate performance in Brazilian companies

Reverse Logistics activities are practiced by most Brazilian companies. However, a relevant problem is to identify how different Reverse Logistics programs can affect corporate performance indicators. Analytic Network Process is one of the analytical tools, which can be used to handle a multi-criteria decision-making problem and it is the only one that can capture the interdependencies between the criteria under consideration. This method was adopted here to study the influence of Reverse Logistics practices in corporate performance. Preliminary results indicated that the method can be used, reaching a result compatible to the reality of the Brazilian companies.

M��todo AHP como instrumento de apoio �� decis��o para a manuten����o da qualidade da ��gua do reservat��rio de Ilha Solteira

Coordena����o de Aperfei��oamento de Pessoal de N��vel Superior (CAPES)

Strategic logistics outsourcing:an integrated QFD and fuzzy AHP approach

This paper develops an integratedapproach, combining quality function deployment (QFD), fuzzy set theory, and analytic hierarchy process (AHP) approach, to evaluate and select the optimal third-party logistics service providers (3PLs). In the approach, multiple evaluating criteria are derived from the requirements of company stakeholders using a series of house of quality (HOQ). The importance of evaluating criteria is prioritized with respect to the degree of achieving the stakeholder requirements using fuzzyAHP. Based on the ranked criteria, alternative 3PLs are evaluated and compared with each other using fuzzyAHP again to make an optimal selection. The effectiveness of proposed approach is demonstrated by applying it to a Hong Kong based enterprise that supplies hard disk components. The proposed integratedapproach outperforms the existing approaches because the outsourcing strategy and 3PLs selection are derived from the corporate/business strategy.