El sector construcción en el Perú es uno de los más dinámicos en la economía del país, se debe a que en los últimos años el gobierno ha venido impulsando la inversión pública, mediante la ejecución de proyectos de infraestructura y en especial a los de saneamiento básico rural; razón por la que la empresa SICMA S.A.C. viene ejecutando proyectos similares en distintos lugares de la región de Puno. El objetivo de esta investigación es determinar el estado actual de la productividad en 9 proyectos de saneamiento básico rural, durante los años 2016 y 2017. Como resultado de análisis de estos datos se determinó que la productividad de la mano de obra en los proyectos ejecutados de forma tradicional es muy baja debido a que no se tiene una adecuada planificación mucho menos control de la ejecución de estos proyectos. Como otro objetivo de esta investigación se ha implementado el sistema Last Planner, en uno de los proyectos de saneamiento básico rural de similares características que las anteriores, obteniéndose mejoras respecto al desempeño de la mano de obra incrementándose la productividad. Estas mejoras fueron evidenciadas mediante la comparación de los rendimientos y valores de ocupación del tiempo, obtenidos de forma tradicional con los obtenidos implementando el sistema Last Planner; quedando con esto demostrado de que es posible la aplicación de herramientas basadas en la filosofía Lean Construction en la ejecución de este tipo de proyectos y que con ellas se puede mejorar la productividad y reducir los plazos de ejecución. / The construction sector in Peru is one of the most dynamic in the economy of the country, it is because in recent years the government has been promoting public investment, through the execution of infrastructure projects and especially basic sanitation rural; reason why the company SICMA S.A.C. It has been executing similar projects in different places in the Puno region. The objective of this research is to determine the current state of productivity in 9 rural basic sanitation projects, during the years 2016 and 2017. As a result of analysis of these data, it was determined that the productivity of the labor force in the executed projects of Traditional way is very low because you do not have adequate planning much less control of the execution of these projects. As another objective of this research, the Last Planner system has been implemented, in one of the rural basic sanitation projects with similar characteristics as the previous ones, obtaining improvements regarding the performance of the workforce, increasing productivity. These improvements were evidenced by the comparison of the yields and values of occupation of time, obtained in a traditional way with those obtained by implementing the Last Planner system; remaining with this demonstrated that it is possible the application of tools based on the philosophy Lean Construction in the execution of this type of projects and that with them can improve the productivity and reduce the terms of execution. / Trabajo de investigación

One of the main assumptions in conventional production process is that each component or part of the production process can be controlled separately as if they are not dependent on anything. This assumption gives rise to problems such as need of effective collaboration with different actors and constraints in budgets. Conventional planning process also causes delay as well as cost overruns which ultimately leads to reduction in productivity.The Last Planner system, LPS, is a tool used in the construction sector with the goal of streamlining production. The tool has several advantages, for example, to make collaboration between different actors more efficient, achieve a better workflow and increase production efficiency. The purpose of this masters’ thesis is to explore how two construction projects in Stockholm work with LPS. Apart from the fact that LPS provides many advantages in the production planning of the projects, this study aims to explore the challenges that they face while working with LPS. The goal of this study is to be able to suggest improvement measures for the challenges that the projects are facing.Semi-structured interviews were conducted on both projects to understand how they work with LPS and what challenges they face. The results section contains the information from the interviews. That is then discussed against the theory on which the Last Planner system is built.The conclusion of this study is that the production planning in the projects differs from how the tool should be used according to the framework of LPS. Learning, which emphasizes what has been done during the project, is a phase in LPS's framework. According to one of the founders of the LPS system, ‘learning’ is the most important phase. However, due to the lack of time, the studied projects were not able to involve the learning phase into their production planning. The projects faced several challenges, including repeated changes from the design teams, which entailed new actions during the project. Also, the involvement of the construction workers in the planning phases came out as a big challenge for the managers. Furthermore, communication problems and lack of cooperation with subcontractors is also present. Some of the improvement measures suggested to meet the challenges are that managers should increase commitment to involve especially construction workers in the planning phases, create nucleus teams, create a standard protocol for how production planning should be implemented, and improve visual planning to enhance communication. / I de traditionella produktionsprocesserna har det antagits att olika komponenter kan styras separat d.v.s. att de är oberoende. Detta antagandet har gett upphov till problem som till exempel försämrat samarbete mellan olika aktörer. Den traditionella produktionsprocessen har också lett till förseningar och kostnadsöverskridanden i projekt.Last Planner-systemet, LPS, är ett verktyg som används inom byggsektorn med målet att effektivisera produktionen. Förutom att effektivisera produktionen är syftet att involvera byggarbetare i planeringsfaserna. Verktyget har flera fördelar, till exempel att effektivisera samarbeten mellan olika aktörer, uppnå ett konstant arbetsflöde och ökad effektivitet i produktionen. Syftet med denna uppsats är att utforska hur två byggprojekt i Stockholm arbetar med LPS. Bortsett från att LPS tillför många fördelar i projektens produktionsplanering har denna uppsats som mål att utforska vilka utmaningar projekten står inför kring arbetet med LPS. Målet är att kunna föreslå eventuella förbättringar för att möta utmaningarna som projekten står inför.Semistrukturerade intervjuer genomfördes på båda projekten för att förstå hur de arbetar med LPS och vilka utmaningar de står inför. Resultatavsnittet redovisar informationen från intervjuerna, som sedan diskuteras i relation till teorin som LPS bygger på.Slutsatsen av denna uppsats är att det skiljer sig mellan hur verktyget används i praktiken jämfört med vad ramverket för LPS står för. Att ta lärdom av vad som gjorts under projektet är en fas i LPS ramverk. Enligt en av grundarna av LPS-systemet är ’lärande’ den viktigaste fasen. Men på grund av tidsbrist har inte projekten som denna studie undersökte kunnat genomföra den fasen. Projekten stod inför flera utmaningar, bland annat upprepade ändringar från designteamen, som ledde till nya åtgärder under projektet, att involvera byggarbetare i planeringsfaserna, kommunikationsproblem mellan aktörer och bristande samarbete med underentreprenörer. Några förbättringsåtgärder är att chefer borde engagera sig mer för att involvera byggarbetare i planeringsfaserna, skapa ett standardprotokoll för hur produktionsplanering bör genomföras och förbättra den visuella planeringen för att uppnå bättre kommunikation.

Submitted by admin tede (tede@pucgoias.edu.br) on 2017-06-29T13:25:06Z No. of bitstreams: 1 PRISCILLA BORGES DE FREITAS RODRIGUES.pdf: 3855875 bytes, checksum: 11d800e90a7d8e85c9925dfdaa032c34 (MD5) / Made available in DSpace on 2017-06-29T13:25:07Z (GMT). No. of bitstreams: 1 PRISCILLA BORGES DE FREITAS RODRIGUES.pdf: 3855875 bytes, checksum: 11d800e90a7d8e85c9925dfdaa032c34 (MD5) Previous issue date: 2017-03-23 / This research had as main point to use the Building Information Modeling (BIM), as an integrated form with the logic of the Last Planner system in relation to the planning and control of the production in companies of the civil construction sector and, with that, a model that promotes this integration in order to improve efficiency in medium and short term planning, where the construction of the integration model involves the development of a plug-in for Revit®, capable of making the information available in a database also fed by other software, here titled “L7”, through which it becomes possible to insert the analytic structure of a work and other information about the consumption of the inputs and, thus, make it possible to establish the relation between each geometric element and their needs for manpower and material, making explicit the restrictions when training the Lookahead through visual management. The methodological approach adopted was Design Science Research, whose main objective is to develop an artifact capable of solving a real and relevant problem and, thus, to promote the advance of the theoretical knowledge about the subject and to contribute to the operation within the companies. The evaluation of the constructed model was made through an empirical study in a work into a mall of a construction company in Goiás, followed by two services in the formation of the Lookahead of the month of January and the work week plan of the four weeks. It was possible, through visual color management, to check tasks that had material and/or labor constraints, facilitating the formatting of medium-term planning and improving the efficiency of short-term planning. / Esta pesquisa envolveu-se com a utilização da modelagem da informação da construção (BIM) de maneira integrada à lógica do Last Planner no planejamento e controle da produção em empreendimentos do setor da construção civil. Para isso, a investigação teve como objetivo principal construir um modelo BIM integrador, de forma a atuar na melhoria do planejamento de médio e curto prazo. A construção do modelo de integração passou pelo desenvolvimento de um plug-in para o software Revit®, capaz de disponibilizar informações em um banco de dados alimentado por outro software de planejamento. O modelo BIM estruturado tornou possível estabelecer a relação entre cada elemento geométrico do projeto arquitetônico e suas necessidades de materiais, mão-deobra e especificações de projeto. A abordagem metodológica adotada na pesquisa foi a Design Science Research. A avaliação do modelo construído foi feita em um estudo empírico em obra de grande porte do setor de edificações. Foi possível, através da gestão visual, verificar as tarefas que possuíam restrições em relação a materiais, mão-de-obra e detalhamento de projeto, facilitando a elaboração do planejamento de médio prazo e melhorando a eficiência do planejamento de curto prazo.

The construction industry faces numerous challenges, such as schedule delays, cost overruns, and rework, which can impact project success and profitability. The key motivation for this report is to explore and understand the potential benefits and implications of integrating Building Information Modeling (BIM) functionalities with the Last Planner System (LPS). This report consists of a systematic literature review (SLR) addressing the influence that the interaction of the LPS and BIM has in the production process. Firstly, bibliometric analysis was done on the results of the SLR, and the content of the literature papers was analyzed adopting the aspects oflean construction in combination with qualitative content analysis to identify the BIM functionalities, the relevant lean construction aspects, and the influence the interaction has on the relevant lean construction aspects. Based on the contents of the literature papers, certain BIM functionalities such as model and schedule visualization, quantity take-off, and clash detection interact with the LPS. The aspects of lean construction that are influenced by the interaction include waste minimization, continuous improvement, improved collaboration, and workflow visualization. Researchers show that the interaction of LPS and certain BIM functionalities has reduced delays, cost overruns, project collaboration, remote meetings, and better project understanding and planning reliability.The findings of the report provide insights for construction industry professionals to enhance project planning, coordination, and execution. The report shows that current attempts for a complete interaction are yet to be researched, with parallel applications and inadequacy in BIM functionalities. A sound conceptual model for interaction is yet to be researched. Many researchers and construction actors may use this report to find existing content on this topic and find the motivation to interact with the BIM functionalities and LPS in a proposed or existing production process. / Byggindustrin står inför många utmaningar, såsom tidsplaneförskjutningar, kostnadsöverskridelser och omarbetning, vilket kan påverka projektets framgång och lönsamhet. Den huvudsakliga motivationen för denna rapport är att utforska och förstå de potentiella fördelarna och konsekvenserna av att integrera Byggnadsinformationsmodellering (BIM) med Last Planner System (LPS). Denna rapport består av en systematisk litteraturöversikt (SLR) som tar upp hur interaktionen mellan LPS och BIM påverkar produktionsprocessen. Först gjordes en bibliometrisk analys av SLR-resultaten, och innehållet i litteraturartiklarna analyserades med utgångspunkt i aspekter av lean construction kombinerat med kvalitativ innehållsanalys för att identifiera BIM-funktionaliteter, de relevanta lean construction-aspekterna och vilken inverkan interaktionen har på de relevanta lean construction-aspekterna. Baserat på innehållet i litteraturartiklarna interagerar vissa BIM-funktionaliteter, såsom modelloch tidsplanvisualisering, kvantitetsupptagning och kollisionskontroll, med LPS. De aspekter av lean construction som påverkas av interaktionen inkluderar minimering av slöseri, kontinuerlig förbättring, förbättrad samarbete och visualisering av arbetsflöde. Forskare visar att interaktionen mellan LPS och vissa BIM-funktionaliteter har minskat förseningar, kostnadsöverskridelser, projekt-samarbete, fjärrmöten och bättre projekt-förståelse och planeringspålitlighet. Rapportens resultat ger insikter för yrkesverksamma inom byggindustrin för att förbättra projektplanering, samordning och genomförande. Rapporten visar att nuvarande försök till en fullständig interaktion ännu inte har forskats kring, med parallella tillämpningar och brister i BIM-funktionaliteter. En robust konceptuell modell för interaktion måste fortfarande utforskas. Många forskare och aktörer inom byggindustrin kan använda denna rapport för att hitta befintligt innehåll om detta ämne och hitta motivationen att interagera med BIM-funktionaliteter och LPS i en föreslagen eller befintlig produktionsprocess.

The purpose of this thesis is to enlighten Boetten Bygg ABconcerning Lean Construction and its methods, which can benefittheir work towards reduction of non-valuable activities during theproduction phase. The examination took place at two projects thatBoetten is working with in Sigtuna and Sollentuna. Both projectswere in the same phase. The method used were to visit the projectsand get an overview of how they’re working today. This was done byattending weekly meetings between the leading parties from Boettenas well as the leading persons from each of the contractors, wealso handed out a survey where the participants evaluate theproblems that can occur. The literature study lifts the basic principles of LeanConstruction, where we have chosen to focus on three differentLean methods that may help Boetten to decrease the wastingactivities in their future projects. We adressed the procurementof a project to lift the pros and cons that this contributes. Byusing this theory, we have discussed the subject round thequestion formulation: •Where in the production process is the biggest potential fordecreasing wasting activities? •Which Lean methods would generate the most valuable improvementadjusted to their organization? •How can Boetten go through with a change in the productionprocess? The gathered result shows the three dominating problem areas werewaiting, the arrangement on the construction site and thecommunication between involved parties. Based on the result wediscussed Boettens way of working to narrate, with grounds fromthe literature study, how an improvement may be carried out. Thestudy shows that an implementation of Lean Construction has thepossibility to minimize the wastage. The methods which wereconsidered to make the biggest change concerning wastingactivities were 5S, Just-In-Time and Last Planner. In order forthis to be possible, a strategy decision is required at amanagement level

Nos últimos anos, muitas empresas de construção civil têm buscado melhorar seus sistemas de Planejamento e Controle da Produção (PCP) como uma das formas de melhorar o desempenho de empreendimentos em termos de prazo e custo, além dos constantes objetivos de aumentar a qualidade e a produtividade. Um marco importante no desenvolvimento de sistemas de PCP para esse setor foi a introdução do sistema Last Planner de controle da produção, concebido com base em modelos e teorias desenvolvidos para a Engenharia Industrial, a partir de meados da década de 90. Esse sistema tem sido refinado em diversos estudos ao redor do mundo, grande parte deles baseados em uma análise qualitativa dos dados gerados. De fato, as pesquisas relacionadas à implementação de sistemas de PCP desenvolvidas no Programa de Pós-graduação em Engenharia Civil da UFRGS nos últimos anos também foram fortemente baseadas no Last Planner. O objetivo geral dessa dissertação consiste em propor contribuições para a coleta e a análise de dados que permitam avaliar o impacto de sistemas de PCP no desempenho de empreendimentos de construção civil, assim como identificar algumas dificuldades de implementação. Foi criada uma base de dados com as medidas de desempenho coletadas em empresas, em pesquisas anteriores, e também com dados inseridos em um sistema de indicadores para benchmarking de empresas do setor. Foram realizadas diversas análises, principalmente dos indicadores PPC e causas do não cumprimento das tarefas, utilizando a análise de regressão múltipla. Entre as principais conclusões, o estudo apontou formas de melhorar a coleta de dados, incluindo a utilização de mecanismos pró-ativos para evitar o acúmulo de valores faltantes e dados espúrios. Além disso, sugeriu-se a formação de um banco de dados único para cada empresa para possibilitar o melhor aproveitamento dos dados, uma vez que algumas medidas são coletadas e acabam descartadas sem uma análise aprofundada. Quanto às dificuldades de implementação do PCP, destacaram-se as falhas na análise das causas do não cumprimento dos pacotes de trabalho na etapa de curto prazo e a implementação parcial do planejamento de médio prazo, devido à desconsideração da análise sistemática de restrições. / In recent years, several construction companies have attempted to improve their production planning and control systems in order to improve project performance in terms of time and costs, besides increasing quality and productivity. An important reference in the development of production planning and control systems in this sector has been the introduction of the Last Planner System, conceived from models and theories developed in industrial engineering, since the mid Nineties. This system has been refined in several research studies around the world, most of them based on a qualitative data analysis. In fact, the research studies concerned with production planning and control carried out at the Postgraduate Program in Civil Engineering at UFRGS is recent years have been strongly based on the Last Planner System. The main objective of this dissertation is to make contributions for data collection and analysis for assessing the impact of production planning and control systems in the performance of construction projects, as well as identify some implementation difficulties. A database was built with some measures collected in construction projects in previous research studies, as well as with data from a performance measurement system for benchmarking in this sector. Several analyses were carried out in this data base, mostly based on two measures, the percentage of plan completed (PPC) and the causes for the non completion of work packages, using multivariate regression analysis. Among the main conclusions, this study pointed out ways of improving data collection, including the use of pro-active mechanisms for avoiding the growth of missing values and outliers. Furthermore, it suggests the construction of a single database in each company, enabling the proper use of the data available, since some of the measures are collected but are further discarded without an in-depth analysis. Regarding the difficulties in the implementation of production planning and control, some failures during the analysis of the causes for the non-completion of work packages in short term planning and the incomplete implementation of look-ahead planning, due to the ineffectiveness of constraints analysis, were pointed out.

Diversos esforços têm sido dirigidos à melhoria do setor da construção civil no mundo inteiro, podendo ser destacado como um dos principais focos o processo de planejamento e controle da produção (PCP). Este processo tem grande impacto no desempenho dos empreendimentos de construção, em relação aos seus custos, prazos, qualidade e segurança. Uma das principais iniciativas realizadas para a melhoria do PCP foi o desenvolvimento e disseminação do Sistema Last Planner de Controle da Produção (LPS). Esse sistema vem sendo aplicado em diversos países desde meados da década de 1990. O principal indicador do LPS é o Percentual de Planos Concluídos (PPC), que mede a eficácia do planejamento. Contrastando com o elevado número de estudos qualitativos realizados sobre a implementação do LPS, poucas análises quantitativas foram realizadas sobre o impacto de sua implementação e os fatores que afetam a sua eficácia. A partir da construção de uma grande base de dados de empreendimentos, o presente trabalho buscou avaliar o impacto da eficácia de sistemas de PCP, baseados no LPS, no desempenho de empreendimentos da construção civil quanto ao custo e ao prazo. Buscou avaliar também influência de práticas de gestão da produção na construção civil na eficácia destes sistemas de PCP. A base de dados utilizada contém indicadores de PPC, desvio de custo, desvio de prazo, boas práticas de PCP e boas práticas de canteiros de obras. Através da técnica de regressão múltipla foram realizadas diversas análises. Como principais conclusões apontam-se algumas evidências sobre a forma como o PCP influencia o desempenho dos empreendimentos e a importância das boas práticas de PCP e de canteiros de obras na eficácia do planejamento. Apesar de as análises apresentarem níveis de correlação relativamente baixos, devido a algumas limitações dos dados disponíveis, observou-se uma forte consistência nos modelos de regressão desenvolvidos. / Several efforts for improving the construction sector have been made worldwide, and one of the main focus has been the production planning and control process This process has a large impact on the performance of construction projects, in terms of cost, time, quality and safety. One of the main initiatives for improving the planning and control process has been the development and dissemination of the Last Planner System of Production Control (LPS). This system has been used in many different countries since the mid Nineties. The main performance indicator of the LPS is the Percentage of Plans Completed (PPC), which measures planning effectiveness. In contrast with the large number of qualitative studies on the implementation of LPS, very few quantitative analyses have been undertaken on the impact of its implementation and on the factors that affect its effectiveness. Based on the construction of a large project database, this research study aims to assess the impact of LPS based production planning and control systems on the performance of construction projects in terms of cost and time. This investigation has also analysed the impact of a set of production management practices on the effectiveness of those planning systems. The database contains the following indicators: PPC, cost deviation, time deviation, good production planning and control practices, and good site management practices. Several analyses were carried out using regression analysis techniques. As main conclusions, the study provided some evidences on the way production planning and control influences project performance, and the importance of good production planning and control practices, and site management practices on the effectiveness of planning and control. Despite the fact that some of the analyses indicated a fairly low correlation index, due to some limitations on the data available, the regression models produced were very consistent.

Nos últimos anos, muitas empresas de construção civil têm buscado melhorar seus sistemas de Planejamento e Controle da Produção (PCP) como uma das formas de melhorar o desempenho de empreendimentos em termos de prazo e custo, além dos constantes objetivos de aumentar a qualidade e a produtividade. Um marco importante no desenvolvimento de sistemas de PCP para esse setor foi a introdução do sistema Last Planner de controle da produção, concebido com base em modelos e teorias desenvolvidos para a Engenharia Industrial, a partir de meados da década de 90. Esse sistema tem sido refinado em diversos estudos ao redor do mundo, grande parte deles baseados em uma análise qualitativa dos dados gerados. De fato, as pesquisas relacionadas à implementação de sistemas de PCP desenvolvidas no Programa de Pós-graduação em Engenharia Civil da UFRGS nos últimos anos também foram fortemente baseadas no Last Planner. O objetivo geral dessa dissertação consiste em propor contribuições para a coleta e a análise de dados que permitam avaliar o impacto de sistemas de PCP no desempenho de empreendimentos de construção civil, assim como identificar algumas dificuldades de implementação. Foi criada uma base de dados com as medidas de desempenho coletadas em empresas, em pesquisas anteriores, e também com dados inseridos em um sistema de indicadores para benchmarking de empresas do setor. Foram realizadas diversas análises, principalmente dos indicadores PPC e causas do não cumprimento das tarefas, utilizando a análise de regressão múltipla. Entre as principais conclusões, o estudo apontou formas de melhorar a coleta de dados, incluindo a utilização de mecanismos pró-ativos para evitar o acúmulo de valores faltantes e dados espúrios. Além disso, sugeriu-se a formação de um banco de dados único para cada empresa para possibilitar o melhor aproveitamento dos dados, uma vez que algumas medidas são coletadas e acabam descartadas sem uma análise aprofundada. Quanto às dificuldades de implementação do PCP, destacaram-se as falhas na análise das causas do não cumprimento dos pacotes de trabalho na etapa de curto prazo e a implementação parcial do planejamento de médio prazo, devido à desconsideração da análise sistemática de restrições. / In recent years, several construction companies have attempted to improve their production planning and control systems in order to improve project performance in terms of time and costs, besides increasing quality and productivity. An important reference in the development of production planning and control systems in this sector has been the introduction of the Last Planner System, conceived from models and theories developed in industrial engineering, since the mid Nineties. This system has been refined in several research studies around the world, most of them based on a qualitative data analysis. In fact, the research studies concerned with production planning and control carried out at the Postgraduate Program in Civil Engineering at UFRGS is recent years have been strongly based on the Last Planner System. The main objective of this dissertation is to make contributions for data collection and analysis for assessing the impact of production planning and control systems in the performance of construction projects, as well as identify some implementation difficulties. A database was built with some measures collected in construction projects in previous research studies, as well as with data from a performance measurement system for benchmarking in this sector. Several analyses were carried out in this data base, mostly based on two measures, the percentage of plan completed (PPC) and the causes for the non completion of work packages, using multivariate regression analysis. Among the main conclusions, this study pointed out ways of improving data collection, including the use of pro-active mechanisms for avoiding the growth of missing values and outliers. Furthermore, it suggests the construction of a single database in each company, enabling the proper use of the data available, since some of the measures are collected but are further discarded without an in-depth analysis. Regarding the difficulties in the implementation of production planning and control, some failures during the analysis of the causes for the non-completion of work packages in short term planning and the incomplete implementation of look-ahead planning, due to the ineffectiveness of constraints analysis, were pointed out.

Diversos esforços têm sido dirigidos à melhoria do setor da construção civil no mundo inteiro, podendo ser destacado como um dos principais focos o processo de planejamento e controle da produção (PCP). Este processo tem grande impacto no desempenho dos empreendimentos de construção, em relação aos seus custos, prazos, qualidade e segurança. Uma das principais iniciativas realizadas para a melhoria do PCP foi o desenvolvimento e disseminação do Sistema Last Planner de Controle da Produção (LPS). Esse sistema vem sendo aplicado em diversos países desde meados da década de 1990. O principal indicador do LPS é o Percentual de Planos Concluídos (PPC), que mede a eficácia do planejamento. Contrastando com o elevado número de estudos qualitativos realizados sobre a implementação do LPS, poucas análises quantitativas foram realizadas sobre o impacto de sua implementação e os fatores que afetam a sua eficácia. A partir da construção de uma grande base de dados de empreendimentos, o presente trabalho buscou avaliar o impacto da eficácia de sistemas de PCP, baseados no LPS, no desempenho de empreendimentos da construção civil quanto ao custo e ao prazo. Buscou avaliar também influência de práticas de gestão da produção na construção civil na eficácia destes sistemas de PCP. A base de dados utilizada contém indicadores de PPC, desvio de custo, desvio de prazo, boas práticas de PCP e boas práticas de canteiros de obras. Através da técnica de regressão múltipla foram realizadas diversas análises. Como principais conclusões apontam-se algumas evidências sobre a forma como o PCP influencia o desempenho dos empreendimentos e a importância das boas práticas de PCP e de canteiros de obras na eficácia do planejamento. Apesar de as análises apresentarem níveis de correlação relativamente baixos, devido a algumas limitações dos dados disponíveis, observou-se uma forte consistência nos modelos de regressão desenvolvidos. / Several efforts for improving the construction sector have been made worldwide, and one of the main focus has been the production planning and control process This process has a large impact on the performance of construction projects, in terms of cost, time, quality and safety. One of the main initiatives for improving the planning and control process has been the development and dissemination of the Last Planner System of Production Control (LPS). This system has been used in many different countries since the mid Nineties. The main performance indicator of the LPS is the Percentage of Plans Completed (PPC), which measures planning effectiveness. In contrast with the large number of qualitative studies on the implementation of LPS, very few quantitative analyses have been undertaken on the impact of its implementation and on the factors that affect its effectiveness. Based on the construction of a large project database, this research study aims to assess the impact of LPS based production planning and control systems on the performance of construction projects in terms of cost and time. This investigation has also analysed the impact of a set of production management practices on the effectiveness of those planning systems. The database contains the following indicators: PPC, cost deviation, time deviation, good production planning and control practices, and good site management practices. Several analyses were carried out using regression analysis techniques. As main conclusions, the study provided some evidences on the way production planning and control influences project performance, and the importance of good production planning and control practices, and site management practices on the effectiveness of planning and control. Despite the fact that some of the analyses indicated a fairly low correlation index, due to some limitations on the data available, the regression models produced were very consistent.

Nos últimos anos, muitas empresas de construção civil têm buscado melhorar seus sistemas de Planejamento e Controle da Produção (PCP) como uma das formas de melhorar o desempenho de empreendimentos em termos de prazo e custo, além dos constantes objetivos de aumentar a qualidade e a produtividade. Um marco importante no desenvolvimento de sistemas de PCP para esse setor foi a introdução do sistema Last Planner de controle da produção, concebido com base em modelos e teorias desenvolvidos para a Engenharia Industrial, a partir de meados da década de 90. Esse sistema tem sido refinado em diversos estudos ao redor do mundo, grande parte deles baseados em uma análise qualitativa dos dados gerados. De fato, as pesquisas relacionadas à implementação de sistemas de PCP desenvolvidas no Programa de Pós-graduação em Engenharia Civil da UFRGS nos últimos anos também foram fortemente baseadas no Last Planner. O objetivo geral dessa dissertação consiste em propor contribuições para a coleta e a análise de dados que permitam avaliar o impacto de sistemas de PCP no desempenho de empreendimentos de construção civil, assim como identificar algumas dificuldades de implementação. Foi criada uma base de dados com as medidas de desempenho coletadas em empresas, em pesquisas anteriores, e também com dados inseridos em um sistema de indicadores para benchmarking de empresas do setor. Foram realizadas diversas análises, principalmente dos indicadores PPC e causas do não cumprimento das tarefas, utilizando a análise de regressão múltipla. Entre as principais conclusões, o estudo apontou formas de melhorar a coleta de dados, incluindo a utilização de mecanismos pró-ativos para evitar o acúmulo de valores faltantes e dados espúrios. Além disso, sugeriu-se a formação de um banco de dados único para cada empresa para possibilitar o melhor aproveitamento dos dados, uma vez que algumas medidas são coletadas e acabam descartadas sem uma análise aprofundada. Quanto às dificuldades de implementação do PCP, destacaram-se as falhas na análise das causas do não cumprimento dos pacotes de trabalho na etapa de curto prazo e a implementação parcial do planejamento de médio prazo, devido à desconsideração da análise sistemática de restrições. / In recent years, several construction companies have attempted to improve their production planning and control systems in order to improve project performance in terms of time and costs, besides increasing quality and productivity. An important reference in the development of production planning and control systems in this sector has been the introduction of the Last Planner System, conceived from models and theories developed in industrial engineering, since the mid Nineties. This system has been refined in several research studies around the world, most of them based on a qualitative data analysis. In fact, the research studies concerned with production planning and control carried out at the Postgraduate Program in Civil Engineering at UFRGS is recent years have been strongly based on the Last Planner System. The main objective of this dissertation is to make contributions for data collection and analysis for assessing the impact of production planning and control systems in the performance of construction projects, as well as identify some implementation difficulties. A database was built with some measures collected in construction projects in previous research studies, as well as with data from a performance measurement system for benchmarking in this sector. Several analyses were carried out in this data base, mostly based on two measures, the percentage of plan completed (PPC) and the causes for the non completion of work packages, using multivariate regression analysis. Among the main conclusions, this study pointed out ways of improving data collection, including the use of pro-active mechanisms for avoiding the growth of missing values and outliers. Furthermore, it suggests the construction of a single database in each company, enabling the proper use of the data available, since some of the measures are collected but are further discarded without an in-depth analysis. Regarding the difficulties in the implementation of production planning and control, some failures during the analysis of the causes for the non-completion of work packages in short term planning and the incomplete implementation of look-ahead planning, due to the ineffectiveness of constraints analysis, were pointed out.