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Dive into the research topics where Susan M. Bogus is active.

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Featured researches published by Susan M. Bogus.


Construction Management and Economics | 2006

Strategies for overlapping dependent design activities

Susan M. Bogus; Keith R. Molenaar; James E. Diekmann

Overlapping activities that are traditionally performed in a sequential manner can significantly reduce project delivery times. Overlapping, however, should be approached in a systematic manner to reduce the costs and risks. Information gathered from sector‐based case studies and from the manufacturing domain suggest a formalised framework for identifying overlapping opportunities and strategies can be successfully implemented for infrastructure projects. This framework considers activity characteristics, such as evolution of upstream information and sensitivity of downstream activities to changes in upstream information, to identify appropriate overlapping strategies. Overlapping strategies, such as early freezing of design criteria, overdesign, and early release of preliminary information, are selected based on activity characteristics. These strategies operate either by speeding up the evolution of upstream information or by reducing the sensitivity of downstream activities. By aligning overlapping strategies with activity characteristics, project managers can make better decisions on when and how much to overlap sequential activities to reduce overall project delivery time.


Journal of Construction Engineering and Management-asce | 2011

Simulation of Overlapping Design Activities in Concurrent Engineering

Susan M. Bogus; James E. Diekmann; Keith R. Molenaar; Christofer M. Harper; S. Patil; J. S. Lee

Concurrent engineering is the process of reducing the total project delivery time by overlapping activities that normally occur sequentially. The benefits are a shortening of delivery time and a possible reduction in overall costs. However, there are potential risks to overlapping dependent activities. The interaction between an upstream activity and a downstream activity relies on how information evolves in the upstream activity and how sensitive the downstream activity is to that changing information. This implies that if an upstream activity is slow to evolve information and a downstream activity is highly sensitive to changing information, the risk in overlapping these activities will be higher than activities that are fast to evolve and not as sensitive to changing information. The risk can manifest in rework, or reperforming some aspect of the downstream activity because of the evolution of the upstream activity and the amount of overlapping used. This research developed computer simulation models to better understand the potential risk of rework. The simulation models allow for overlapping different types of slow- and fast-evolving upstream activities with high- and low-sensitivity downstream activities using overdesign and early release strategies and different amounts of overlapping. The overall findings show that simulations of overlapping activities yield a reliable approach to modeling concurrent engineering activities. The simulations provide information on the probability of rework based on the different combinations of evolution, sensitivity, overlapping strategy, and the percent amount of overlapping used between the upstream and downstream activity. The use of computer simulations and modeling of overlapping activities therefore allows engineers and managers to understand the potential risks and what strategies to apply when utilizing concurrent engineering on a project.


Accident Analysis & Prevention | 2015

Hierarchical Bayesian random intercept model-based cross-level interaction decomposition for truck driver injury severity investigations

Cong Chen; Guohui Zhang; Zong Tian; Susan M. Bogus; Yin Yang

Traffic crashes occurring on rural roadways induce more severe injuries and fatalities than those in urban areas, especially when there are trucks involved. Truck drivers are found to suffer higher potential of crash injuries compared with other occupational labors. Besides, unobserved heterogeneity in crash data analysis is a critical issue that needs to be carefully addressed. In this study, a hierarchical Bayesian random intercept model decomposing cross-level interaction effects as unobserved heterogeneity is developed to examine the posterior probabilities of truck driver injuries in rural truck-involved crashes. The interaction effects contributing to truck driver injury outcomes are investigated based on two-year rural truck-involved crashes in New Mexico from 2010 to 2011. The analysis results indicate that the cross-level interaction effects play an important role in predicting truck driver injury severities, and the proposed model produces comparable performance with the traditional random intercept model and the mixed logit model even after penalization by high model complexity. It is revealed that factors including road grade, number of vehicles involved in a crash, maximum vehicle damage in a crash, vehicle actions, driver age, seatbelt use, and driver under alcohol or drug influence, as well as a portion of their cross-level interaction effects with other variables are significantly associated with truck driver incapacitating injuries and fatalities. These findings are helpful to understand the respective or joint impacts of these attributes on truck driver injury patterns in rural truck-involved crashes.


Construction Management and Economics | 2014

An exploratory study of the relationship between construction workforce physical strain and task level productivity

Umberto C. Gatti; Giovanni Migliaccio; Susan M. Bogus; Suzanne M. Schneider

The monitoring of construction workforce physical strain can be a valuable management strategy in improving workforce productivity, safety, health, and quality of work. Nevertheless, clear relationships between workforce performance and physical strain have yet to be established. An exploratory investigation of the relationship between task level productivity and physical strain was conducted. Nine participants individually performed a four-hour simulated construction task while a wearable physiological status monitor continuously assessed their physiological condition. Heart rate, relative heart rate, and breathing rate were utilized as predictors of physical strain, and task level–single factor productivity was used as an index of productivity. Numerous regression models were generated using the collected data. This investigation initially unsuccessfully attempted to establish a relationship between physiological condition and productivity at the individual worker level. However, an analysis of the regression models showed that there is a relationship between productivity and either heart rate or relative heart rate at the group level, and that this relationship is parabolic. Breathing rate was proved to not be a significant predictor of productivity. Research results significantly improve understanding of the relationship between work physiology and task productivity. Researchers and practitioners may use the tested monitoring devices, analysis methods, and results to design further applied studies and to improve workforce productivity.


Public Works Management & Policy | 2010

Contract Payment Provisions and Project Performance: An Analysis of Municipal Water and Wastewater Facilities

Susan M. Bogus; Jennifer S. Shane; Keith R. Molenaar

In a continued effort to provide water and wastewater facilities, owners have been using a variety of contract pricing methods for the construction of new facilities. Increasing use of cost-plus-fee with a guaranteed maximum price (GMP) contract payment provisions along with the more traditional lump sum contract payment provisions has created a need to measure the effectiveness of these contract pricing methods. Through a detailed survey of public water and wastewater facility owners, performance data were collected to compare project performance based on schedule and cost growth measures. The results of this study indicate that contracts using cost-plus-fee with a GMP contract pricing provisions are more likely to have no schedule or cost growth as compared to projects with lump-sum provisions. Overall, the results of this study provide new data for water and wastewater projects that can be used by owners to improve future project performance.


Journal of Management in Engineering | 2013

Municipal Water/Wastewater Project Delivery Performance Comparison

Jennifer S. Shane; Susan M. Bogus; Keith R. Molenaar

AbstractOwners of water/wastewater facilities can choose from several project delivery methods, including the traditional design-bid-build method or an alternative design-build method. When choosing a project delivery method, the owner should consider both the project goals as well as the performance of different project delivery methods. Detailed data on project delivery performance allow owners to match project goals, such as time savings, with project delivery methods. Detailed data on project delivery performance do not currently exist for the water/wastewater sector. Through a survey of water/wastewater facility owners, data were collected on 31 design-build projects and sixty-nine design-bid-build projects. A statistical analysis of the data determined that schedule growth for design-build projects was half that of design-bid-build projects; more design-build projects finished at or below budget; and both project delivery methods produced projects of comparable quality. Although this is the first st...


Transportation Research Record | 2010

Effect of Duration of Design–Build Procurement on Performance of Transportation Projects:

Giovanni Ciro Migliaccio; Susan M. Bogus; Ao Chen

Transportation agencies are increasingly interested in new strategies for integrated project delivery, such as design–build. When making a decision between a traditional design–bid–build delivery and an integrated project delivery such as design–build, the agency should consider potential cost savings, time savings, and quality improvements. To maximize the success of design–build projects, transportation agencies need to pay attention to several aspects of this system, including initial steps like contract procurement. Agencies should prepare for the procurement phase carefully on the basis of project size, complexity, timing, selection methods, and so on. This is especially important for design–build projects in which participating firms invest significant effort during the contract procurement phase while planning design and construction and assessing risks. To assist in improving the success of design–build projects, a study was conducted to analyze the relationship between duration of the contract procurement phase and project performance. Schedule growth, cost growth, and total project time growth were used to measure project performance in the study. Linear regression analysis was used to analyze the relationship between procurement duration and each of the three project performance factors. The results show a strong linear correlation between procurement duration and schedule growth. Longer procurement duration correlates less with schedule growth as a percentage of the total project schedule. There is no evidence to indicate that longer procurement duration will reduce cost growth. This research strongly suggests that providing additional time to contractors during procurement allows them to improve schedule performance.


Transportation Research Record | 2010

Assessment of Data Quality for Evaluations of Manual Pavement Distress

Susan M. Bogus; Giovanni Migliaccio; Arturo A Cordova

Assessment of the conditions of current assets is a task of major relevance in a transportation agency asset management program. It not only provides information on the current condition of the asset but also helps the agency make decisions on future maintenance and rehabilitation activities. Although low-volume roadways represent a large proportion of the total road network in the United States, little research on the management of these assets has been done. Two major data collection techniques are used for roadway condition assessment: manual and automated. Although automated techniques have been found to be safer and quicker, manual condition surveys have been proven to offer preciseness and cost-effectiveness. In the case of low-volume roadway assessment, for which the funds available to asset managers are limited, manual condition surveys are often preferred. Nevertheless, manual condition surveys must address the potential subjectivity of the results. Therefore, agencies could benefit from a system for ensuring quality on manual condition surveys. This paper proposes a framework for assessment of data quality and presents a case study of its implementation in the Northern New Mexico Pavement Evaluation Program. The proposed framework is easily implementable and able to identify potential and actual data collection issues. The framework can be used as part of an asset management program and could be particularly beneficial in the case of low-volume roads.


Journal of Management in Engineering | 2013

Study of the Relationship between Procurement Duration and Project Performance in Design-Build Projects: Comparison between Water/Wastewater and Transportation Sectors

Susan M. Bogus; Giovanni Migliaccio; Ruoyu Jin

Previous studies on building, industrial, and transportation projects found that projects delivered using design-build tend to perform better than projects delivered with the traditional design-bid-build method. However, performance of design-build projects is affected by various factors, with procurement-related factors being among the most influential. Whereas other aspects of procurement have been largely investigated, the effect of procurement duration on project performance has been studied only for design-build transportation projects. In addition, few studies have focused specifically on the delivery of water/wastewater projects. This paper includes the results of a study on the relationship between procurement duration and performance of water/wastewater design-build projects. The study methodology was based on regression analysis of data from a sample of water/wastewater design-build projects. The results show that unlike the transportation sector, procurement duration has little effect on either schedule or cost performance in the water/wastewater sector. Likely reasons for this difference were then explored through a content analysis of procurement documents.


International Conference on Computing in Civil Engineering | 2012

Using Wearable Physiological Status Monitors for Analyzing the Physical Strain-Productivity Relationship for Construction Tasks

Umberto C. Gatti; Giovanni Migliaccio; Susan M. Bogus; Suzanne M. Schneider

Anecdotal evidence suggests that physical strain may negatively affect workforce productivity and safety performance. Thus, an effective management of construction workforce physical strain could be very beneficial in improving construction productivity and safety. However, clear relationships between physical strain, safety, and productivity have yet to be established because of limitations in data collection procedures and technologies. This research has utilized recent innovations in sensing and communication technology to investigate the physical strain vs. productivity relationship. Data collected by physiological status monitors were analyzed through regression analysis that adopted heart rate as predictor of physical strain. Productivity and heart rate data of seven subjects performing a fourhour, simulated construction task were collected. The analysis showed that heart rate is a significant predictor with a strong parabolic relationship with productivity. Therefore, this research provided evidence of the physical strain vs. productivity relationship and, for the first time, proposed a mathematical formulation of such a relationship.

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Keith R. Molenaar

University of Colorado Boulder

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Su Zhang

University of New Mexico

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James E. Diekmann

University of Colorado Boulder

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Guohui Zhang

University of New Mexico

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