Search results

This research investigates the implementation of Six Sigma in competitive tendering processes to address persistent delays by identifying the potential benefits and challenges of implementing Six Sigma in construction competitive tendering processes. The results seek to encourage practitioners to implement Six Sigma in addressing competitive tendering process delays.

Literature was reviewed to identify the benefits and challenges of Six Sigma implementation in construction processes and categorized under broad headings. Three case studies were used to authenticate the literature findings by applying Define-Measure-Analyse-Improve-Control to their construction competitive tendering processes. Furthermore, quality tools and techniques together with documentary analysis, content analysis and determination of frequencies of quantitised qualitative data were employed to identify potential benefits and challenges.

The most common Six Sigma benefits achievable in construction competitive tendering are Time Related benefits. Other benefits likely to emanate as ripple effects are Customer Focus Related, Quality Related, Process Improvement Related, Human Resource Related, Finance Related and Decision Related. However, implementation challenges should be expected.

Six Sigma implementation in construction competitive tendering promotes time efficiency. It is expected that this will encourage quantity surveyors, procurement practitioners and their institutions to implement Six Sigma in addressing persistent delays in their competitive tendering processes.

This paper demonstrates the use of merged approach under mixed method to identify the benefits and challenges of Six Sigma implementation in construction competitive tendering process within the Ghanaian context.

The purpose of this paper is to investigate the application of lean construction practices in the construction industry and develop a practical and applicable framework that incorporates Six Sigma rating into the best practices of lean construction. The objective is to help the industry reduce waste and cost, increase effectiveness, and improve quality.

A generic yet practical framework of lean construction is developed using the guidelines of project lean delivery system developed by the Lean Construction Institute (LCI). Applicable lean techniques and Six Sigma rating are integrated into the developed framework. A cyclical look‐ahead planning and execution approach is used to implement the lean construction techniques. A set of Lean Six Sigma (LSS) performance indicators is defined to measure performance, set target threshold values, and guide improvement actions. A case study of the construction industry in Abu Dhabi (AD) is used to clarify the proposed approach and identify its key practical aspects.

Analysis of wastes in AD construction industry reveals 27 types of construction wastes. These wastes were categorized into the seven types of wastes. Defects (errors and corrections) are found to be the most common type of construction waste in the surveyed companies. This calls for integrating Six Sigma rating into the proposed lean construction framework. The other common types of wastes are overprocessing and delays. Lean project management is focused on assessing a set of key performance indictors (KPIs) at the end of each “look‐ahead” period. First lean practices are employed during the period and Sigma Rating is assessed at the end of the period along with other KPIs. The proposed LSS‐KPIs were able to measure progress and guide improvement.

The credibility of the research findings is dependent on the accuracy and reliability of collected data from construction companies. Implementing lean construction techniques within a look‐ahead period is not expected to achieve significant project gains in terms of quality, speed, and cost without adopting the overall lean construction framework.

The work of construction companies largely contributes to the quality and safety of public and society at large through residential and commercial buildings, transportation, and infrastructure projects. Lean construction practices and Six Sigma rating positively impact these important aspects and often result in reducing waste and costs, improving safety, and saving energy resources in construction projects.

Research significance stems from the focus on increasing the effectiveness of the construction industry. Research contributions include the development of an applicable lean construction framework that integrates lean construction practices with Six Sigma rating. This contributes to the effort of applying Lean Six Sigma (LSS) in the vital field of construction. This research prescribes a systematic approach for implementing the proposed framework within a cyclical look‐ahead period and highlights the practical implications of the proposed approach. Also, the research provides an effective periodic measurement system of project effectiveness based on five LSS key performance indices.

This paper aims at collecting and reviewing the published literature on the Six Sigma in construction along with its critical success factors (CSFs).

The research is based on literature review. Based on the keyword and semantic search techniques, papers published on the topic of Six Sigma during 2000-2015 are retrieved. Frequency analysis is performed to find out significance of identified CSFs, and zoning is performed based on the product of frequency of appearance and parties affected by the CSFs.

A total of 69 CSFs are identified as published in the literature. Based on an inclusion criterion of minimum 15 appearances, 22 CSFs are shortlisted for further analysis. Of these CSFs, around 32 per cent fall into red zone (most critical), 50 per cent into yellow and 18 per cent into green zone (least critical).

This work is limited by partial identification of CSFs. Though based on an extensive search, the retrieved CSFs may not be all the published ones. However, more thorough search techniques can be applied to improve upon this work.

The findings can be used to facilitate the decision-making in the context of project success.

This work is an original attempt at gathering Six Sigma CSFs applicable to construction projects. It may be used for further research and development to help ensure project quality and success.

Unsatisfactory level of construction materials quality has been a persistent problem for companies in construction. This study aims to describe the application of the Six Sigma methodology for improving the tensile strength in a Chinese reinforcement material manufacturing company.

Six Sigma-based framework of define-measure-analyse-improve-control (DMAIC) methodology is adopted in this case study. During different stages, quality problems and critical factors are identified to improve the low performance of tensile strength and thixotropy of the impregnating resin.

The results provide solid evidence that how Six Sigma can be successfully applied in reinforcement material manufacturing. Results showed that vacuum degree, reaction temperature and stirring rate are significant factors on tensile strength. Control plans for continuous improvements are suggested and implemented. Our study found that managerial assurance activities such as verification were less developed than equipment-related control activities. Besides, data management required further elaboration on integrated data and information systematically, thereby to enable the company to make informed decisions and to support continuous improvement.

This study contributes to show a potential area in which Six Sigma DMAIC approach can promote to improve the tensile strength of impregnating resin. This case can prompt managers of the company to apply Six Sigma method to address complicated problems in other reinforcement material processes. Companies of construction and their suppliers can refer to this study when improving their manufacturing process.

Project management tools and techniques have been widely adopted in the construction industry; however, its combination with Six Sigma and application in construction procurement has not been widely researched. This paper explores the use of Six Sigma Project Procurement (SSPP) and its potential applications in public sector construction procurement.

The role of Six Sigma and project management in construction is critically evaluated using three case studies to demonstrate their application in public procurement.

The use of SSPP by public sector organisations creates efficient and effective construction procurement processes by addressing delays. The proposed timelines for competitive tendering in the Ghanaian Public Procurement Manual are not realistic.

This paper contributes to and broadens the limited body of evidence and knowledge of applying SSPP to public procurement processes and identifies areas for further research.

Project management will continue to expand in the global construction industry. However, what will eventually determine if SSPP is embraced by public sector construction depends on the leadership and success of its execution. The application of SSPP to public construction procurement will address delays and lead to significant time reduction of the process. This will eliminate the major issue (delay) accounting for deficiencies in the process.

The paper yields immense value to construction project management researchers and practitioners, especially in the public sector. It recommends the inclusion of Six Sigma to promote focus on actual instead of perceived problems and advocates for decisions-making based on facts which will ensure continuous improvement.

Quality management barriers have been discovered in construction small- and medium-sized enterprises (SMEs), determining their long-term survival. Despite the recognition of Lean Six Sigma (LSS) as a valuable quality management technique for addressing the barriers faced by SMEs, LSS implementation within the construction SME context is alarmingly low. Therefore, this study aims to investigate the barriers for implementing LSS within construction SMEs and to determine the most effective strategies for overcoming these barriers.

A quantitative research approach was used, and data was collected in two stages: a questionnaire survey with 44 construction professionals and an expert opinion survey with 12 LSS specialists. The collected data was then analysed using the fuzzy TOPSIS method, achieving a higher degree of sensitivity.

The findings revealed the 15 most significant LSS barriers that need to be addressed. In addition, the ten most important strategies to be implemented in overcoming the identified barriers before LSS implementation were discovered and thematised, most notably the hiring of LSS specialists for project monitoring and the formation of a committee for strategic planning through LSS.

Previous research on LSS examined barriers and strategies for SMEs in general, but to the best of the authors’ knowledge, this study is the first of its kind, focusing especially on the construction SME context and involving the unique fuzzy TOPSIS approach.

The purpose of this paper is to investigate the level of implementation of Six Sigma (SS) in the construction industry of Pakistan along with the current state of affairs and the challenges, and opportunities for a successful implementation.

The research is purely exploratory in nature. Based on published work, critical success factors are gathered, and a number of questionnaire surveys and interviews are conducted to refine and quantify their impact. A system dynamics framework to assess the SS influence on project success is developed and case study project are simulated.

The construction industry of Pakistan is still functioning in a traditional way; marred with low level of awareness and ad hoc approaches, the findings point to a huge improvement opportunity. Further, when under planning projects are exposed to SS, the chances of project success improve better than under execution projects.

The limited level of awareness possessed by the respondents constrains the possible outreach of this work in industrially developed contexts. However, this work may become an impetus for further research in managing quality in construction industry.

The findings can be used to improve the quality provision of construction projects.

This work may trigger an important debate over the research and implementation of SS in the construction industry of developing countries that may greatly benefit by improving the quality of their projects and rectify their diminishing reputation for project success.

This study aims to establish a new system to predict the defect liability phase (DLP) cost using the Six Sigma methodology, which investigates sources of variations and reduces the error level to 3.4 per million through five phases: define, measure, analyze, design and verify.

After the initial handover of the construction project, the DLP follows the practical completion. During this stage, the contractor is responsible for the remedy of any defects that appeared in the project. Many researchers have studied defect reasons and their associated costs in different industries, while the construction industry remains a green field for this kind of research. The objective of this study was to develop a model to predict the DLP cost. The research methodology adopted the five stages of the Six Sigma cycle: defining objectives, measuring the data, analyzing performance, designing the model and verifying the results. Twenty factors were identified as potential factors affecting the DLP cost. Factors were categorized into two main clusters: project data and organization data. Interviews were conducted with 42 project management experts, who have 8–35 years of experience in construction project management, to rank the 20 factors based on their importance. Simo’s procedure was used to obtain the weight of each factor affecting the DLP cost based on the opinions of the experts. The Pareto principle was used to select the “Vital Few” factors affecting the DLP cost, and six factors were selected. The design of experiments (DOE) was used to establish a dynamic model to predict the DLP cost using a sample of 41 construction projects obtained from the above-mentioned 42 project management experts. The model accuracy was verified using data obtained from a different sample of five construction projects, which were not used to establish the model.

The results showed that among the 20 factors, only six were found to have a cumulative impact of 50% over the cost of the DLP: type of project, project contract value, nationality of the employer, project manager experience, DLP duration and sector of the employer. A model was established through the DOE to predict the DLP cost using the values of the aforementioned factors.

As a natural limitation of using DOE, the newly developed model can be applied to predict the DLP cost based on data within the range of data used during the model development, which means that model is confined within the specific measured values of factors. Furthermore, it will be beneficial for future studies to study the impact of other factors related to the types of materials or equipment used in building the project because it was not considered during this study because of the huge diversities in these factors and difficulties in determining its impact on the DLP cost.

The unique results of using DOE through Minitab software facilitated obtaining of a dynamic model, which means that researchers can modify any value of the six factors and monitor instantly the expected change in the DLP cost, which will allow a better understanding of the impact of each factor on the DLP cost. Moreover, the new model will help contractors to predict the expected DLP cost to be added for their project budget, which will mitigate the risk of cost overrun resulted from the cost of defect rectification.

A dynamic model was established to predict the DLP cost using the DOE. The new model was validated, and the prediction error ranged from −18% to +21%.

The purpose of this paper is to prioritize and establish relationships among the barriers that affect green, lean and Six Sigma (GLSS) implementation in the Indian construction sector.

A hierarchal model consisting of several levels is generated by the interpretive structural modelling (ISM) methodology. For establishing the priority weights and the ranking of the barriers, the relationships among barriers from the model in ISM are used to provide an output from the analytic network process (ANP). The 12 vital barriers that affect implementation of GLSS adoption were shortlisted from literature and then finalized in consultation with experts belonging from both industry and academia.

Based on the ISM model “Lack of awareness for green products, Lack of top management commitment and involvement as well as Lack of funds along with an improper estimation” are at the highest level. Similar results were found while ranking the barriers through ISM–ANP integration.

This study identified and prioritized the barriers that affect GLSS implementation using ISM–ANP approach, such a study has not been attempted previously for the construction sector. The ISM model and ANP ranks are based on the inputs gathered from experts and academicians so as to ensure practical validity. This approach is assists decision-makers to focus on the key barriers priority basis and enables them to implement GLSS smoothly.

This paper aims to present a systematic review of design for six sigma (DFSS) methods applicable to the product development process (PDP) of durables goods and identify a research opportunity on the subject proposing integration of DFSS and a reference model for the PDP. In this way, through the analysis of the theoretical references identified in the scientific databases, it was possible to propose a conceptual model for the PDP oriented to the DFSS.

This paper is based on the theoretical framework presented in peer-reviewed scientific research papers during the period 2000 to 2018 on the theme DFSS applied in the PDP, as well as such as the product development tools/techniques and statistics addressed. By means of key words defined by the acronyms of DFSS methods (DMADOV, ICOV, DMEDI, IDOV, DDOV, PIDOV, DMADIC, DCCDI, DMADV, IDDOV, CDOV and DCOV), DFSS and the acronym DFSS. Applying Boolean expression during the conduction of the searches through the scientific evidence at the Brazilian scientific database platform (Capes database). This database platform is maintained by coordination for the improvement of higher education personnel, which including Emerald Insight (Emerald), Scopus (Elsevier), Science Direct, SpringerLink, Taylor Francis, Scielo (Web of Science), Wiley Online Library, Web of Science (Clarivate Analytics), etc. It was obtained, by means of the searches, 269 papers related to subject DFSS, of which 18 papers had been critically selected for the composition of a conceptual model for the process of development of product guided to the DFSS.

This study presents a review of the literature (systematic review and content analysis) on DFSS and its effectiveness for the PDP. The DFSS methodology is disseminated in the scientific literature through a variety of methods that are often mistaken for the six sigma methodology – DMAIC, which is directed toward process improvement. The PDP integrated with the DFSS concepts contributes to eliminating possible failures during the design of a new product, directing to reduce costs and improve the quality of the product and process.

This paper presents a literature review that guided to a proposal of a preliminary conceptual model DFSS focused on the process of product development with the purpose of being a friendly model that meets the dynamics of the organizations and the expectations of the consumers.

Through the systematic review and content analysis, it was possible to observe that the DFSS methods applied to product development are not related to the PDP reference models available in the literature. In this way, the fusion of the concepts of the DFSS methods and PDP reference models for the construction and proposition of a preliminary conceptual model DFSS oriented to the process of product development intends to contribute in the development of new products with the reduction of time, reduction of the cost, competitive price and consumer satisfaction.