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The purpose of this study is to better understand distinct solution strategy types for common commissioning and startup problems (Hot Spots) in the construction of industrial facilities. The authors also sought to better understand which solution strategy types offer the best value for the effort required.

The authors used a method of qualitative coding of text-based data to identify themes, patterns and trends from a collection of 178 commissioning and startup (CSU) solution strategies for the CSU Hot Spots. Coding categories emerged after multiple iterations. The authors also mapped high-value, low-effort solution strategies across the categories. Chi-squared testing and analysis of proportion statistics help quantitatively justify this qualitative research.

The authors identified 12 distinct coding categories and showed that they follow a non-uniform distribution via statistical testing. Those strategy types which provide particularly good value for the effort required are identified (such as quality assurance and control strategies), as well as those strategy types that do not.

Research is limited to CSU for the construction of industrial facilities. The findings are also limited to a subset of the most commonly problematic CSU activities. Many findings may be beneficial for heavy civil and commercial CSU as well.

Coding categories, definitions and descriptions provide a good overview of all 178 solution strategies for CSU project professionals. Implementing certain types of solutions or solution programs may allow CSU managers to prevent multiple Hot Spots from becoming problematic or to keep problems already occurring from becoming worse. Managers will also benefit from knowledge about which strategy types are more likely to give a higher value for lower effort.

Qualitative coding and analysis of solution strategies for common CSU problems have never been conducted so rigorously in any other CSU study. This method has yielded results distinct from other CSU studies which have used quantitative methods. Insights from findings have advanced the body of knowledge surrounding problem-solving in the commissioning and startup sub-discipline.

The main purpose of this paper is to identify high-value, low-effort solution strategies to common commissioning and startup (CSU) problems experienced during industrial construction projects.

Data on the value provided by solution strategies and effort required to implement them were collected from 35 industry experts via an electronic survey. The authors used a PICK (Possible, Implement, Challenge and Kill) chart two-axis modeling method to distinguish high-value, low-effort strategies from among the set of 178 possible solution strategies to the 20 most common CSU problem activities.

A total of 38 strategies were identified by industry experts as both high-value and low-effort solutions to the most common CSU problems experienced on industrial construction projects. The 20 common CSU problems had an average of almost nine solution strategies each, of which an average of almost two were identified as high-value, low-effort.

The research findings are limited to industrial-type construction projects; however, parallels may exist with heavy civil, commercial and other types of construction. The sample size was relatively small but in accord with other CSU surveys.

Managers are provided a list of 38 highly effective strategies to use when they encounter common CSU problems. By implementing these strategies, managers will provide their projects with more benefit for less investment.

Although several studies have identified solution strategies to CSU problems, none have sought to differentiate between strategies. This study distinguishes between an extensive set of 178 strategies along both effort and value metrics, identifying high-value, low-effort strategies using a novel application of the PICK chart model.

Successful commissioning and startup (CSU) is critical to successful capital project completion. Industrial facility production and operations can also be affected by the level of CSU success. Specifically, transitions between construction, commissioning and startup (CCSU) phases, as well as between project organizations, have been identified as an opportunity for improvement across the industry. The purpose of this paper is to establish and clarify CCSU accountabilities and responsibilities for industrial-type capital projects across these transitions.

This research used a panel of industry practitioners to assist with data collection, review research products and provide industry perspective. The authors used the insight of these CCSU experts to craft new CCSU models. A separate set of industry practitioners was used to validate the findings, and an illustrative case study is also provided. Descriptive analyses and statistics aid the interpretation of research findings.

Substantial research findings include: three novel CCSU project delivery models, a comprehensive CCSU activity flowchart applicable across industrial sectors, and an extensive CCSU RACI (Responsible, Accountable, Consulted and Informed) matrix detailing responsibility and accountability assignments across 60 project functions for all of the 124 CCSU flowchart activities. Four key leadership functions are found to be accountable for most of the CCSU process. A need for frontloading CCSU activities during construction is clearly demonstrated, and the value of administrative activities as enablers of core CCSU activities should not be underestimated.

The findings contribute to a more accurate model of CCSU execution best practices for industrial applications. Specifically, CCSU project delivery models give insight into high-level transition structures between organizations and across phases.

The extensive listing of CCSU activities along with suggested accountability and responsibility assignments for each activity give CCSU managers a starting point for ensuring that important tasks are not left undone during this critical phase of capital projects.

New CCSU models for industrial capital projects presented in this paper (including CCSU project delivery models, activity flowchart and RACI matrix) constitute substantial contributions to the industrial construction body of knowledge. These models provide more comprehensive coverage of CCSU topics than their predecessors, and specifically address activities and issues pertinent to industrial construction. The establishment and clarification of responsibility and accountability assignments are of particular value during this high-transition stage of capital projects.

The purpose of this study is to discover which solution strategies to common industrial commissioning and startup (CSU) problems (Hot Spots) owner and contractor organizations identify as most effective and to identify which strategies are identified by one or both organization types.

Ratings for the relative value provided by strategies, and the effort required to implement strategies were solicited from CSU industry experts employed by owner or contractor organizations via a survey. Quantitative modelling using the Possible, Implement, Challenge, Kill (PICK) chart method distinguished high-value, low-effort strategies from other strategies.

Owners and contractors identify distinct sets of CSU solution strategies as high value and low effort, with some overlap. Of 178 total strategies, 40 (22.5 per cent) were identified by owners and 34 (19.1 per cent) by contractors, with 19 (10.7 per cent) of those strategies in common. Strategies with the greatest differences in opinions between owners and contractors are also identified.

Research findings are limited to industrial-type, operational systems-intensive facilities. Similarities may exist with other systems-intensive project types, such as some commercial or infrastructure projects. The survey sample size is relatively small (n = 35), but close to that of other CSU-related surveys. The majority of survey participants were based in North America at the time of participation. Further, the number of contractor and owner participants differed slightly.

CSU managers and personnel should consider using high-value, low-effort strategies before resorting to other less effective strategies, as applicable on their projects. Depending on which organization is executing CSU, or if both organization types share CSU responsibilities, different solution strategies may be most effective.

Differences in owner and contractor perspectives and opinions have been noted in other aspects of the project lifecycle but never for CSU solution strategies. Use of the strategies identified will support more effective CSU execution.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

CCSU Hot Spots are key areas for CCSU managers to focus on in order to bring this stage of an industrial construction process in on budget and time.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Snapp and Tap30 are the two largest online taxi firms in Iran. Their corporate strategies differ in the focus on customers, leading to divergent pathways to success.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Only recently has physical space design become more widely recognized as playing a critical role in delivery of care, with an emerging body of literature on the application of human factors approaches to design and evaluation. This chapter describes the use of human factors approaches to develop and conduct an evaluation of a proposed Neonatal Intensive Care Unit redesign in a Midwestern children’s hospital. Methods included observations and knowledge elicitation from stakeholders to characterize their goals, challenges, and needs. This characterization is integral to informing the design of user-centered solutions, including physical space design. We also describe an approach to evaluating the proposed design that yielded actionable recommendations specific to hospital-driven design goals.

In the Western thought tradition, the tourist has not been a subject worthy of intellectual musings and philosophical deliberations. Indeed, the tourist has been portrayed in primarily derisive ways. Nietzsche’s remark, “Tourists—they climb mountains like animals, stupid and perspiring, no one has told them that there are beautiful views on the way,” epitomizes the dominant attitude. Why does the figure of the tourist elicit such negative reactions? Do the sentiments perhaps imply something else, or is the tourist a doppelgänger, not anomalous or marginal but normative—a paradigmatic figure? If so, then what can be said of the poetics and politics of the tourist conceptualized as a paradigmatic subject?

THE following list of errata, adjustments and revisions of the actual classification itself, represents all that it has been deemed necessary to note in the way of such alterations, and the changes have been suggested by the experience of users and the discoveries of various librarians. Those who use the scheme should have the changes noted in an interleaved copy of the book, and others may find it desirable to do likewise, pending the appearance of a revised issue which will be published in the near future. Most of the changes are self‐explanatory, and their meaning can be ascertained at once by reference to the S.C. itself. Suggestions and notes of errors will be very gratefully received, as it is only by the vigilance and practical working of many minds that a classification scheme can ever arrive at even reasonable accuracy and completeness.