High-value, low-effort industrial plant commissioning solution strategies

Author:

Mock Brant,O'Connor James T.

Abstract

Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications 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. Practical implications 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. Originality/value 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.

Publisher

Emerald

Subject

Building and Construction,Architecture,Civil and Structural Engineering,General Computer Science,Control and Systems Engineering

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