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Article
Publication date: 3 October 2016

Dotun Adebanjo, Premaratne Samaranayake, Fereshteh Mafakheri and Tritos Laosirihongthong

With increasing choice from a range of programs, improvement project selection within broader supply chain context and resource constraints has become a major research…

Abstract

Purpose

With increasing choice from a range of programs, improvement project selection within broader supply chain context and resource constraints has become a major research challenge. The purpose of this paper is to investigate the different criteria for selecting Six-Sigma (SS) projects based on previous studies. The study is supported by two grounded theories: resource-based view and institutional norms. The criteria include: first, business drivers for improvement and the common performance metrics deployed; second, the organization’s stakeholders needs; and third, process owner’s needs.

Design/methodology/approach

To determine the relative importance of influencing factors, opinions were collected from 30 experienced practitioners including SS champions/master black-belts, company directors, consultants, and process owners through a series of interviews in small, medium, and large organizations including multi-national organizations. The evaluation of criteria is based on analytical hierarchy process.

Findings

The results show that impact on customer, financial impacts, and impact on operational goals are the most significant factors in selecting SS improvement project.

Originality/value

This study is a first attempt to determine the relative weight among SS project selection criteria, which help the practitioner to allocate their limited resources in implementing SS project.

Details

Benchmarking: An International Journal, vol. 23 no. 7
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 11 September 2009

Maneesh Kumar, Jiju Antony and Byung Rae Cho

The purpose of this paper is to focus on the importance of the project selection process and its role in the successful deployment of Six Sigma within organizations.

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3786

Abstract

Purpose

The purpose of this paper is to focus on the importance of the project selection process and its role in the successful deployment of Six Sigma within organizations.

Design/methodology/approach

A review of the literature is presented, highlighting the importance of project selection in Six Sigma deployment, which is an area of extreme importance that has been less researched in the past. The paper, through a real‐life case study, proposes a hybrid methodology, which combines the analytical hierarchy process and the project desirability matrix to select a project for Six Sigma deployment.

Findings

The paper demonstrates the efficacy of proposed methodology by its application in a small and medium‐sized enterprise (SME) manufacturing die‐casting product. The example provided is a real‐life case study conducted by the authors in an organization embracing the Six Sigma business strategy within their day‐to‐day functioning.

Research limitations/implications

The proposed methodology is tested only in a case study SME, which is the limitation of the paper. The robustness of the methodology can be tested by conducting several case studies in organizations and comparing the results with other existing methodologies for project selection such as project prioritisation matrix or the failure mode and effect analysis.

Practical implications

The paper accentuates the importance of the project selection process for Six Sigma deployment, which can have a tremendous effect on the business profitability of an organization. The paper is relevant to both industry practitioners and researchers.

Originality/value

The paper presents a methodology linking the project selection process to successful deployment of Six Sigma within organizations, an important topic that has been neglected in the past. The paper will enable managers and practitioners to emphasize the importance of project selection and to identify and focus on the critical success factors in successful deployment of Six Sigma projects.

Details

Business Process Management Journal, vol. 15 no. 5
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 5 June 2017

Ramakrushna Padhy

The paper aims to review the literature on Six Sigma projects through a broad framework of Six Sigma project selection process. It proposes a process framework approach of…

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1121

Abstract

Purpose

The paper aims to review the literature on Six Sigma projects through a broad framework of Six Sigma project selection process. It proposes a process framework approach of six sigma project selection and enumerates various recent tools and methods required for each stage. The review aims to expand the domain of Six Sigma project selection by identifying the importance of project portfolio approach.

Design/methodology/approach

The study used a process framework approach and systematic literature review to identify and classify various literature pertaining six sigma projects and its associated tools and methods

Findings

The paper provides broad insights about the opportunity and direction to future research in the area of Six Sigma project. Emerging research opportunities exist in the area of Six Sigma project risk management and selecting portfolio of projects.

Research limitations/implications

The study has its own limitations because of its chosen research approach. The process framework developed for classification of literature is based on expert opinion. Further research can be carried out to validate it.

Practical implications

This study will benefit new researchers entering the field of Six Sigma to identify new research opportunities and issues for their research interest. Second, industry practitioners and consultants working in the area of Six Sigma may work towards more successful implementation of Six Sigma.

Originality/value

The paper fulfils an identified gap of review of Six Sigma project selection.

Details

International Journal of Lean Six Sigma, vol. 8 no. 2
Type: Research Article
ISSN: 2040-4166

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Article
Publication date: 12 October 2020

Xuhui Cong, Liang Wang, Li Ma and M. Skibnewski

This study aims to explore the critical influencing factors that lead to the site selection failure of waste-to-energy (WtE) projects in China under the influence of the…

Abstract

Purpose

This study aims to explore the critical influencing factors that lead to the site selection failure of waste-to-energy (WtE) projects in China under the influence of the “Not In My Back Yard” (NIMBY) effect, which can provide references to improve the decision-making process of similar projects in the future.

Design/methodology/approach

The fuzzy decision-making trial and evaluation laboratory (DEMATEL) method was used to propose an analytical framework for exploring the critical influencing factors affecting the site selection failure of WtE projects. The causal relationship between different influencing factors is finally determined on the basis of the opinions of 12 experts from universities, government departments, consulting units, planning and design units, construction units and WtE enterprises.

Findings

Results showed that six crucial factors resulted in the site selection failure of WtE projects from the NIMBY effect perspective: “Insufficient public participation,” “Near the place of residence,” “Nonstandard government decision-making processes,” “Low information disclosure,” “Destroys the surrounding environment,” and “Imperfect compensation scheme.”

Originality/value

Results can determine the priorities and causal relationships among the various influencing factors. The decision-making optimization suggestions can provide reference for decision- makers, thereby possibly promoting the scientific and standardization of site selection decision process.

Details

Engineering, Construction and Architectural Management, vol. 28 no. 6
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 4 June 2018

Keshav Kumar Sharma and Anup Kumar

The purpose of this paper is to develop criteria for project manager selection based on desired skills of a project manager and facilitate the selection of a suitable…

Abstract

Purpose

The purpose of this paper is to develop criteria for project manager selection based on desired skills of a project manager and facilitate the selection of a suitable candidate from a pool of potential candidates for the implementation of projects in the Indian context.

Design/methodology/approach

The study utilizes three major skills, namely human skill, conceptual and organizational skills; technical skill along with their sub-skills to develop criteria for project manager selection. Based on the responses of project professionals from industry, the study uses analytical hierarchy process to prioritize and identify the relative importance of different skills in the criteria in order to develop a hierarchical structure for project manager selection.

Findings

The study finds that at the first level of project manager selection criteria, conceptual and organizational skills are the most important selection criteria followed by human skills and technical skills. At the second level of project manager selection criteria, planning, delegating authority and understanding methods, processes, and procedures are some of the important sub-selection criteria. The weights indicating the relative importance of major selection criteria and sub-selection criteria can be used to evaluate the relative weight of a given candidate for selection as a project manager.

Research limitations/implications

The results in this study are derived from specific demographic conditions in India. Future research with larger samples from other countries is needed for generalizations of the proposed criteria.

Practical implications

The proposed method quantifies the intangible qualitative criteria to select a project manager, which can aid decision-makers in a multi-criteria decision-making environment.

Originality/value

This research paper is focused on the identification of critical skills for the selection of a project manager, which is almost neglected by the researchers.

Details

International Journal of Quality & Reliability Management, vol. 35 no. 6
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 3 April 2017

Farshad Faezy Razi and Seyed Hooman Shariat

The purpose of this paper is twofold: the selection of project portfolios through hybrid artificial neural network algorithms, feature selection based on grey relational…

Abstract

Purpose

The purpose of this paper is twofold: the selection of project portfolios through hybrid artificial neural network algorithms, feature selection based on grey relational analysis, decision tree and regression; and the identification of the features affecting project portfolio selection using the artificial neural network algorithm, decision tree and regression. The authors also aim to classify the available options using the decision tree algorithm.

Design/methodology/approach

In order to achieve the research goals, a project-oriented organization was selected and studied. In all, 49 project management indicators were chosen from A Guide to the Project Management Body of Knowledge (PMBOK Guide), and the most important indicators were identified using a feature selection algorithm and decision tree. After the extraction of rules, decision rule-based multi-criteria decision making matrices were produced. Each matrix was ranked through grey relational analysis, similarity to ideal solution method and multi-criteria optimization. Finally, a model for choosing the best ranking method was designed and implemented using the genetic algorithm. To analyze the responses, stability of the classes was investigated.

Findings

The results showed that projects ranked based on neural network weights by the grey relational analysis method prove to be better options for the selection of a project portfolio. The process of identification of the features affecting project portfolio selection resulted in the following factors: scope management, project charter, project management plan, stakeholders and risk.

Originality/value

This study presents the most effective features affecting project portfolio selection which is highly impressive in organizational decision making and must be considered seriously. Deploying sensitivity analysis, which is an innovation in such studies, played a constructive role in examining the accuracy and reliability of the proposed models, and it can be firmly argued that the results have had an important role in validating the findings of this study.

Details

Benchmarking: An International Journal, vol. 24 no. 3
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 4 April 2016

Fatemeh Parvaneh and Sameh Monir El-Sayegh

This paper aims to propose a new model for project selection using the combined approach of analytic hierarchy process (AHP) and linear programming (LP). The key selection

Abstract

Purpose

This paper aims to propose a new model for project selection using the combined approach of analytic hierarchy process (AHP) and linear programming (LP). The key selection criteria for construction projects are also identified and assessed based on the perception of construction professionals.

Design/methodology/approach

Fifteen project selection criteria are identified based on review of related literature. A questionnaire is developed and distributed among construction professionals in the United Arab Emirates to assess the importance of these criteria. The questionnaire was designed to enable pair-wise comparisons using the AHP methodology. Based on the responses of 42 professionals, the weight of each criterion was calculated using Expert Choice software. Selected criteria are then used to compare available projects. AHP is applied first to prioritize the competing projects, in line with owner strategic goals and objectives. Next, the priority ratios (weights) obtained from the AHP model are used as the coefficients of the decision variables in a LP model to allocate the available budget in an optimal way to maximize the owner’s benefit.

Findings

Results indicate that project-specific criteria are the most important with an overall weight of 0.48. The top three criteria are profit, financial standing and risk with corresponding weights of 0.161, 0.114 and 0.1, respectively. The proposed model provided more benefit to the owner than using the traditional project selection method.

Originality/value

There are several methods for project selection. However, the optimization techniques do not consider qualitative factors. Other techniques consider both qualitative and quantitative factors but do not consider budget limitations to optimize the selection decision. The model proposed here combines both approaches and takes into consideration unique criteria that are specific to the construction industry.

Details

Journal of Financial Management of Property and Construction, vol. 21 no. 1
Type: Research Article
ISSN: 1366-4387

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Article
Publication date: 6 November 2019

Jeffrey Feghaly, Mounir El Asmar, Samuel Ariaratnam and Wylie Bearup

The purpose of this paper is to identify key project delivery method selection factors to assist water industry decision-makers in selecting the most appropriate delivery…

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257

Abstract

Purpose

The purpose of this paper is to identify key project delivery method selection factors to assist water industry decision-makers in selecting the most appropriate delivery method for their water treatment plant projects.

Design/methodology/approach

The selection factors were identified by compiling and validating key project delivery selection factors across various industries through an extensive literature review and two industry expert workshops. This resulted in the development of a web-based decision-support tool to facilitate project delivery method selection within the water industry.

Findings

The research effort led to the identification of 13 key project delivery method selection factors (seven primary factors and six secondary factors) for water treatment plant projects. These factors were utilized to develop EXPRSS-TP, a pioneering web-based project delivery method decision-support tool for the water industry.

Practical implications

A project delivery method selection process is typically an informal process that may range from days to weeks at a time. Based on this work, the assessment can now be completed in about one hour and provides decision-makers with the most favorable delivery method for their project. And with the new tool that encompasses the new knowledge, not only is the decision reached at an accelerated pace, EXPRSS-TP also documents the entire selection process, allowing for a written and retained record of this key decision and its procedure.

Originality/value

This paper contributes to the exisiting body of knowledge by identifying key project delivery selection factors across numerous industries, assessing and combining them, and finally incorporating them into one comprehensive process. EXPRSS-TP improves the traditional project delivery method selection process and provides evidence-based project delivery method selection recommendations.

Details

Engineering, Construction and Architectural Management, vol. 27 no. 4
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 1 September 2006

Ricardo Banuelas, Charles Tennant, Ian Tuersley and Shao Tang

The literature suggests that a key ingredient for the successful six sigma implementation is project prioritisation and selection. The purpose of this paper is to identify…

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4696

Abstract

Purpose

The literature suggests that a key ingredient for the successful six sigma implementation is project prioritisation and selection. The purpose of this paper is to identify what criteria are considered for selecting six sigma projects and how six sigma projects are selected in organisations in the UK.

Design/methodology/approach

Using a survey as a method of investigation, respondents were asked what criteria are considered to select projects and how potential projects are identified, prioritised, selected and evaluated.

Findings

The results of the survey indicate that UK organisations tend to select projects based on criteria such as customer satisfaction, financial benefits, top management commitment and those projects integrated with the company's strategy. Several tools and techniques such as cost benefit analysis, cause and effect matrix, brainstorming, Pareto analysis are employed to identify and prioritise projects.

Research limitations/implications

This paper is limited to the selection of six sigma in the UK. Further, empirical studies using larger sample sizes and greater geographical diversity may be helpful in validating the results of this study.

Practical implications

The identification of the most commonly used criteria to select six sigma projects can aid practitioners to select projects based on multiple criteria and using tools and techniques identified in this survey.

Originality/value

The provision of empirical data on the criteria used to select six sigma projects and how six sigma projects are selected.

Details

The TQM Magazine, vol. 18 no. 5
Type: Research Article
ISSN: 0954-478X

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Article
Publication date: 28 July 2021

Fatma Pakdil

Given the critical role of project prioritization and selection process in Six Sigma efforts, this study aims to analyse the relevant literature to answer this question…

Abstract

Purpose

Given the critical role of project prioritization and selection process in Six Sigma efforts, this study aims to analyse the relevant literature to answer this question: What types of project prioritization and selection methods have been used in Six Sigma research?

Design/methodology/approach

The study implemented the systematic literature review (SLR) method to identify and review all relevant previous studies.

Findings

The study revealed that 59 articles focused on the topic used 111 methods, analytic hierarchy process appeared as the most frequently used method with 12 articles (20%) and one-third of the methods used in the current Six Sigma project selection literature contained multi-criteria decision-making methods. In total, 61% of 59 articles were not published in the journals ranked by the ABDC’s list. Only 17% of the articles reviewed in this study were published in journals ranked as B category and 12% of the articles were published in A category journals.

Practical implications

The findings of this literature review may help Six Sigma practitioners and researchers accurately identify project prioritization and selection methods, considering that qualitative and quantitative scientific methods guarantee to make better decisions than “gut feelings” of the decision makers in this process.

Originality/value

Although a variety of studies focused on the topic, an SLR is lacking in the area of Six Sigma project prioritization and selection. Therefore, this study was constructed using the SLR method to analyse the topic.

Details

International Journal of Lean Six Sigma, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-4166

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