Propuesta tecnológica para incrementar la productividad en la construcción masiva de vivienda

Arcudia-Abad, Carlos; Solís-Carcaño, Rómel G.; Cuesta-Santos, Armando

doi:10.22201/fi.25940732e.2007.08n2.006

Cited by 6 publications

(1 citation statement)

References 5 publications

(5 reference statements)

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“…Another remarkable feature is the heavy dependence of the sector on workmanship, i.e., the use of traditional systems for construction work and its management, which are unstructured and prone to improvisation [ 4 ], despite the fact they often involve tasks that could be automated by using advanced technology [ 5 ]. This high contribution of manpower—with low specialization [ 6 ] and multiculturalism—has been a prominent feature of the construction industry, where foreign workers even represent up to 81.2% of the total construction workforce [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

A Context-Driven Model for the Flat Roofs Construction Process through Sensing Systems, Internet-of-Things and Last Planner System

Andújar-Montoya

Marcos-Jorquera

García-Botella

et al. 2017

Sensors

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The main causes of building defects are errors in the design and the construction phases. These causes related to construction are mainly due to the general lack of control of construction work and represent approximately 75% of the anomalies. In particular, one of the main causes of such anomalies, which end in building defects, is the lack of control over the physical variables of the work environment during the execution of tasks. Therefore, the high percentage of defects detected in buildings that have the root cause in the construction phase could be avoidable with a more accurate and efficient control of the process. The present work proposes a novel integration model based on information and communications technologies for the automation of both construction work and its management at the execution phase, specifically focused on the flat roof construction process. Roofs represent the second area where more defects are claimed. The proposed model is based on a Web system, supported by a service oriented architecture, for the integral management of tasks through the Last Planner System methodology, but incorporating the management of task restrictions from the physical environment variables by designing specific sensing systems. Likewise, all workers are integrated into the management process by Internet-of-Things solutions that guide them throughout the execution process in a non-intrusive and transparent way.

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Section: Introductionmentioning

confidence: 99%

A Context-Driven Model for the Flat Roofs Construction Process through Sensing Systems, Internet-of-Things and Last Planner System

Andújar-Montoya

Marcos-Jorquera

García-Botella

et al. 2017

Sensors

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New Factors Affecting Productivity of the Software Factory

Castañeda

Mauricio

2022

Research Anthology on Agile Software, Software Development, and Testing

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Productivity is very important because it allows organizations to achieve greater efficiency and effectiveness in their activities; however, it is affected by numerous factors. While these factors have been identified for over two decades, all of the previous works limited the software factory to the programming work unit and did not analyze other work units that are also relevant. 90% of a software factory's effort is absorbed by the software production component, 85% of which is concentrated in the efforts of the analysis and design, programming, and testing work units. The present work identifies three new factors that influence the software factory, demonstrating that the use of rules and events influences analysis & design, team heterogeneity negatively affects analysis and design and positively affects programming; and the osmotic communication affects programming. An empirical study on software factories in Peru, determined that 95% of the influence came from these factors, which corroborated as well that team size and trust within the team influences in software production.

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A Review of Literature About Models and Factors of Productivity in the Software Factory

Castañeda

Mauricio

2021

Research Anthology on Recent Trends, Tools, and Implications of Computer Programming

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Software factories seek to develop quality software in a manner comparable to the production of other industrial products, establishing improvements in their production process so as to be more competitive. Productivity, one of the competitiveness pillars, is related to the effort required to fulfill assigned tasks. However, there is no standard way of measuring productivity, making it difficult to establish policies and strategies to improve the factory. In this article, the authors perform a systematic review of the literature on factors affecting productivity of software factories, and models for measuring it. For the period 2005-2017, 74 factors and 10 models are identified. Most of the factors are related to Programming, and a few to Analysis and Design and Testing. Also, most models for measuring productivity only consider activities concerning programming.

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Propuesta tecnológica para incrementar la productividad en la construcción masiva de vivienda

Cited by 6 publications

References 5 publications

A Context-Driven Model for the Flat Roofs Construction Process through Sensing Systems, Internet-of-Things and Last Planner System

A Context-Driven Model for the Flat Roofs Construction Process through Sensing Systems, Internet-of-Things and Last Planner System

New Factors Affecting Productivity of the Software Factory

A Review of Literature About Models and Factors of Productivity in the Software Factory

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