Construction productivity improvement is a key concern for construction companies and the industry. Productivity in construction is a complex issue because: (1) it is influenced by multiple factors interactively; and (2) it is measured in different forms and at different levels of detail for different purposes. This objective of this research is to develop an internal Benchmarking and Metrics (BM&M) model for industrial construction enterprises to help them understand and implement mechanisms for continuously improving construction productivity. Processes are developed in the model for: 1. Measuring and reporting craft labour productivity performance in a consistent form for the purposes of internal benchmarking and comparison with a selected third-party benchmark, 2. Examining productivity influencing factors in two categories with respect to construction environment factors and construction practices implementation, 3. Establishing a productivity performance evaluation model to understand the mechanisms by which the environment factors and construction practices impact construction productivity, and 4. Conducting strategic gaps analysis of construction practices implementation within a company aimed at achieving “best in class” and continuous improvement. System functions in the model are validated through functional demonstration by applying statistical analysis on data collected by the designed benchmarking process and metrics from an industrial construction company. It is concluded that the model developed can be effectively used to understand the impact of practices implementation levels on construction productivity.

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Se tiene por entendida a la simulación como una herramienta científica que genera diversos contextos a los cuales se puede ver incluida a la empresa, mejorando los cuellos botella de la empresa, tiempo ciclo o costos elevados, con la finalidad de mejorar por ejemplo la productividad, eficiencia o rentabilidad. En base a ello para el presente trabajo de investigación se toma como objeto de estudio a la línea de producción de pollos frescos y limpios de la empresa avícola “Fénix SAC” la cual opera de manera ineficiente debido a que se registran problemas en los puestos de trabajo tanto físicos, como de ruido, iluminación, termomagnético y disergonómico. Para esto se ha buscado realizar propuestas de mejora que conlleven a incrementar la productividad en la empresa mediante la simulación de procesos. Específicamente hablando, se desarrolló un diagnóstico del proceso productivo, luego se ha elaborado propuestas de mejora sobre los indicadores en base al estudio de puestos de trabajo, luego se simulo la línea de producción antes y después de las mejoras propuestas, y por último se estimó la viabilidad económica de la propuesta. Como resultado se obtuvo que existirá un incremento de la productividad económica del 1%, en la MOD se registró un incremento del 32%, en cuanto a la productividad laboral 29,1%. En cuanto a la viabilidad económica, con respecto al VAN, TIR, B/C y PRI, se obtuvo 119 516.67 soles, 65.28%, 1.75 y 1 año con 3 meses y 17 días, respectivamente hablando. / Simulation is understood as a scientific tool that generates various contexts in which the company can be seen to be included, improving the bottlenecks of the company, cycle time or high costs, in order to improve, for example, productivity, efficiency or profitability. Based on this, for the present research work, the production line of fresh and clean chickens of the poultry company "Fénix SAC" is taken as an object of study, which operates in an inefficient manner due to the fact that problems are registered in the positions of physical, noise, lighting, thermomagnetic and disergonomic work. For this, we have sought to make improvement proposals that lead to increased productivity in the company through process simulation. Specifically speaking, a diagnosis of the production process was developed, then improvement proposals were made on the indicators based on the study of jobs, then the production line was simulated before and after the proposed improvements, and finally it was estimated the economic viability of the proposal. As a result, it was obtained that there will be an increase in economic productivity of 1%, in the MOD an increase of 32% was registered, in terms of labor productivity 29.1%. Regarding the economic viability, with respect to the VAN, IRR, B/C and PRI, 119 516.67 soles were obtained, 65.28%, 1.75 and 1 year with 3 months and 17 days, respectively speaking.

Even with advanced technology and new project management methodologies, construction company leaders continue to face challenges to improve labor productivity. This multiple case study was an exploration of the strategies that construction company leaders use to improve labor productivity in Doha, Qatar. The case population consisted of 6 construction company leaders operating in Doha, Qatar, who successfully identified and implemented strategies to improve labor productivity. The conceptual framework for this study was the expectancy theory. The data collection process included semistructured interviews and company documentation. Data were compiled and organized, disassembled into fragments, reassembled into a sequence of groups, and interpreted for meaning. Methodological triangulation and member checking bolstered the trustworthiness of those interpretations. Five themes emerged from these 6 construction company leaders: exploring, identifying, and evaluating issues affecting labor productivity; applying an appropriate leadership style; motivating the workforce; providing training and development; and implementing effective project management processes. By improving labor productivity, similar construction companies can complete construction projects faster and with lower construction costs. The implications for positive social change include the potential to lower construction costs and enable individuals with lower incomes in Doha, Qatar, to afford houses that they could not previously afford.

The federal government is often criticized for performance that fails to meet the public's expectations. Its traditional pay system receives much of the blame for rewarding seniority instead of performance. While everyone agrees that performance matters, they don't always agree on the best way to improve it. My research investigates human resource management strategies designed to motivate better performance and productivity. Specifically, I examine the credibility and feasibility of implementing pay for performance throughout the federal government and identify ways that managers can promote greater productivity through human capital investment. I conduct an extensive review of work motivation theories and synthesize findings from previous academic and government studies in order to develop models that are tailored to the federal workplace. I test these models using federal survey data from the Merit Principles Surveys of 2000 and 2005. A variety of attitudes, perceptions, expectations, and work environment factors are expected to influence job performance. Findings reveal that pay for performance belief and success are greatly affected by performance management, fair treatment in all personnel matters, supervisory fairness in decision-making, and organizational culture. Further results indicate that managers can markedly improve productivity by ensuring employees are highly engaged in their work, delivering effective performance management, providing a supportive organizational culture, and giving employees adequate resources and training. With federal agencies constantly striving to improve performance and productivity, these findings have practical implications for government as they suggest ways that public managers can achieve better performance and greater productivity through increased work motivation.

The federal government is often criticized for performance that fails to meet the public's expectations. Its traditional pay system receives much of the blame for rewarding seniority instead of performance. While everyone agrees that performance matters, they don't always agree on the best way to improve it. My research investigates human resource management strategies designed to motivate better performance and productivity. Specifically, I examine the credibility and feasibility of implementing pay for performance throughout the federal government and identify ways that managers can promote greater productivity through human capital investment. I conduct an extensive review of work motivation theories and synthesize findings from previous academic and government studies in order to develop models that are tailored to the federal workplace. I test these models using federal survey data from the Merit Principles Surveys of 2000 and 2005. A variety of attitudes, perceptions, expectations, and work environment factors are expected to influence job performance. Findings reveal that pay for performance belief and success are greatly affected by performance management, fair treatment in all personnel matters, supervisory fairness in decision-making, and organizational culture. Further results indicate that managers can markedly improve productivity by ensuring employees are highly engaged in their work, delivering effective performance management, providing a supportive organizational culture, and giving employees adequate resources and training. With federal agencies constantly striving to improve performance and productivity, these findings have practical implications for government as they suggest ways that public managers can achieve better performance and greater productivity through increased work motivation.

El problema para tratar en esta investigación es la mejora de la baja productividad en una empresa metalmecánica. Esto significa que producen a un nivel menor de lo que pueden con la capacidad y recursos que poseen, originando altas pérdidas para la empresa por lo que es un indicador de gran importancia. Por ello, este estudio propone la mejora del proceso productivo a través de un modelo que implementa técnicas Lean Manufacturing en la línea de elaboración cerraduras en una metalmecánica, ubicada en Lima. El estudio se realizó mediante el uso de herramientas de ingeniería que diagnosticaron la situación actual y las causas del problema. En consecuencia, las técnicas a implementar son 5´s, TPM, Six Sigma y Poka Yoke con el fin de reducir los productos defectuosos, tiempos improductivos y los tiempos de paradas de máquina para poder mejorar el nivel de productividad. Los resultados permitieron la mejora en la productividad en 9.6%. / The problem to address in this research is the improvement of low productivity in a metalworking company. This means that they produce at a lower level than they can with the capacity and resources they possess, causing high losses for the company, which is why it is an indicator of great importance. For this reason, this study proposes the improvement of the production process through a model that implements Lean Manufacturing techniques in the line of manufacturing locks in a metal mechanic, located in Lima. The study was conducted using engineering tools that diagnosed the current situation and the causes of the problem. Consequently, the techniques to implement are 5's, TPM, Six Sigma and Poka Yoke in order to reduce defective products, unproductive times and machine downtime in order to improve the level of productivity. The results allowed an improvement in productivity by 9.6%. / Trabajo de investigación