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Article
Publication date: 29 October 2021

Ali Jaber Naeemah and Kuan Yew Wong

The purpose of this paper is (1) to review, analyze and assess the existing literature on lean tools selection studies published from 2005 to 2021; (2) to identify the…

Abstract

Purpose

The purpose of this paper is (1) to review, analyze and assess the existing literature on lean tools selection studies published from 2005 to 2021; (2) to identify the limitations faced by previous studies; and (3) to suggest future works that are necessary to facilitate the selection of lean tools.

Design/methodology/approach

A systematic approach was used in order to identify, collect and select the articles. Several keywords related to the selection of lean tools were used to collect articles from different Scopus indexed journals. Next, the study systematically reviewed and analyzed the selected papers to identify the lean tools' selection method and discussed its features and limitations.

Findings

An analysis of the results showed that previous studies have adopted two types of methods for selecting lean tools. First, there are various traditional methods being used. Second, multi-criteria decision-making (MCDM) methods were commonly used in previous studies, such as the multi-objective decision-making method (MODM), single multi-attribute decision-making (MADM) methods and hybrid (MCDM). Moreover, the study revealed that the lean tools' selection methods in previous studies were based on evaluating the relationship between either lean tools and performance metrics or lean tools and waste, or both.

Research limitations/implications

In terms of its theoretical value, the study is considered as an extension of the previous researches performed on this topic by determining and analyzing the features of the most selection methods of lean tools. Unlike previous review papers, this review had considered discussing and analyzing the characteristics and limitations of these methods. Section 2.2 of this paper reviewed some of the categories of MCDM methods as well as some of the traditional methods used in the selected previous studies. Section 2.1 of this paper explained the concept of lean management and its application benefits. Further, only three sectors were covered by the previous studies in this review paper. This study also provided recommendations for future research. Therefore, it provided researchers with a good conception of how to conduct the studies on lean tools selection. Besides, knowing the methods used in previous studies can help researchers develop new methods to select the best set of lean tools. That is, this study provided and advanced the existing knowledge base for researchers concerning lean tools selection, especially there is limited availability of review papers on this topic. Moreover, the study showed researchers the importance of the relationship between lean tools and indicators or/and performance indicators to determine the appropriate set of lean tools so that the results of future studies will be more realistic and acceptable.

Practical implications

Practically, manufacturers face a significant challenge when selecting proper lean tools. This study may enhance managers, manufacturers and company's knowledge to identify most of the methods used to choose the best set of lean tools and what are the advantages, disadvantages and limitations of these methods as well as the latest studies that have been adopted in this topic. That means this study can direct companies to prioritize the application of lean tools depending on either the manufacturing performance metrics or/and manufacturing wastes so that they avoid incorrect application of lean tools, which will add more non-value added activities to operations. Therefore companies can decrease the time and cost losses and enhancing the quality and efficiency of the performance. Correctly implementing the best set of lean tools in companies will lead in general to correctly applying lean management in corporations. Therefore, these lean tools can boost the economic aspect of companies and society through reducing waste, improving performance indicators, preserving time and cost, achieving quality, efficiency, competitiveness, boosting employee income and improving the gross domestic product. The correct lean tool selection reduces customer complaints and employee stress and improves work conditions, health, safety and labor wellbeing. Besides, the correct lean tools selection improves materials usage, energy usage, water usage and decreases liquid wastes, solid wastes and air emissions. As a result, the right selection of lean tools will have positive effects on both the environment and society. The study may also encourage manufacturers and researchers to adopt studies on lean tools selection in small- and medium-sized companies because the study referred to the importance and participation of these kinds of companies in a large proportion of the economy of developing countries. Further, the study may encourage some countries that have not previously adopted this type of study, academically and industrially to conduct lean tools selection studies.

Social implications

As mentioned previously, the correct lean tool selection reduces customer complaints and employee stress and improves work conditions, health, safety and labor wellbeing. The proper lean tools selection improves materials usage, energy usage, water usage and decreases liquid wastes, solid wastes and air emissions. As a result, the right choice of lean tools will positively affect both the environment and society.

Originality/value

The study expanded the efforts of previous studies concerning lean management features. It provided an accurate review of most lean tools selection studies published from 2005 to 2021 and was not limited to the manufacturing sector. It further identified and briefly described the selection methods concerning lean tools adopted in each paper.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 20 September 2022

Vassiliki Demetracopoulou, William J. O'Brien, Nabeel Khwaja, Jeffrey Feghaly and Mounir El Asmar

Over the last three decades, construction projects have increasingly been delivered through alternative delivery methods. As a result, many owners have a range of delivery…

Abstract

Purpose

Over the last three decades, construction projects have increasingly been delivered through alternative delivery methods. As a result, many owners have a range of delivery methods to choose from and aim to use the right one for each of their projects. Researchers have developed several tools and decision-support processes to facilitate this selection procedure. The purpose of this study is to review and discuss differences and common themes across selection tools developed by academic researchers and project owners.

Design/methodology/approach

The study reviews prominent selection processes and tools used for infrastructure projects by conducting an in-depth literature review and using the content analysis method to elicit findings on the methodologies and criteria presented in the literature.

Findings

This study presents three principal findings. First, findings show three common themes emerge within the selection criteria—characteristics, goals and risks. Second, while academic studies most commonly suggest employing multi-attribute analysis, this study reveals that, in practice, selection tools most frequently employ a staged or gated evaluation based on the type of criteria and their importance to the decision. Finally, this review further highlights the importance of institutional context in decision-making.

Originality/value

This work contributes to the body of knowledge by providing guidance to practitioners and opening new directions for researchers around the way selection criteria are categorized in the relevant literature and the institutional context considerations when structuring or evaluating a selection process or tool.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 3 July 2017

Shankar Chakraborty and Soumava Boral

Subtractive manufacturing process is the controlled removal of unwanted material from the parent workpiece for having the desired shape and size of the product. Several…

Abstract

Purpose

Subtractive manufacturing process is the controlled removal of unwanted material from the parent workpiece for having the desired shape and size of the product. Several types of available machine tools are utilized to carry out this manufacturing operation. Selection of the most appropriate machine tool is thus one of the most crucial factors in deciding the success of a manufacturing organization. Ill-suited machine tool may often lead to reduced productivity, flexibility, precision and poor responsiveness. Choosing the best suited machine tool for a specific machining operation becomes more complex, as the process engineers have to consider a diverse range of available alternatives based on a set of conflicting criteria. The paper aims to discuss these issues.

Design/methodology/approach

Case-based reasoning (CBR), an amalgamated domain of artificial intelligence and human cognitive process, has already been proven to be an effective tool for ill-defined and unstructured problems. It imitates human reasoning process, using specific knowledge accumulated from the previously encountered situations to solve new problems. This paper elucidates development and application of a CBR system for machine tool selection while fulfilling varying user defined requirements. Here, based on some specified process characteristic values, past similar cases are retrieved and reused to solve a current machine tool selection problem.

Findings

A software prototype is also developed in Visual BASIC 6.0 and three real time examples are illustrated to validate the application potentiality of CBR system for the said purpose.

Originality/value

The developed CBR system for machine tool selection retrieves a set of similar cases and selects the best matched case nearest to the given query set. It can successfully provide a reasonable solution to a given machine tool selection problem where there is a paucity of expert knowledge. It can also guide the process engineers in setting various parametric combinations for achieving maximum machining performance from the selected machine tool, although fine-tuning of those settings may often be required.

Details

Benchmarking: An International Journal, vol. 24 no. 5
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 9 July 2019

Irit Levy-Feldman and Zipora Libman

An interview is one of the most widely used tools in the admission of candidates for an academic study, particularly in the applied professions. The purpose of this paper…

Abstract

Purpose

An interview is one of the most widely used tools in the admission of candidates for an academic study, particularly in the applied professions. The purpose of this paper is to present a study that assesses the quality of a new interview tool for the selection of teacher-training candidates, in order to find out its added value over other selection tools in use and to justify the effort invested in it.

Design/methodology/approach

The study was longitudinal and was conducted over the course of a three-year period. The study population consisted of all the college’s undergraduate students that were candidates for the teaching profession. The information was processed quantitatively using descriptive as well as inferential statistics while addressing diverse comparisons.

Findings

The main findings indicate a high quality of the new tool. The usage of the tool improved the selection procedure of qualified candidates, especially borderline candidates who would be rejected if using only the matriculation and the psychometric admission tools. A logistic regression model revealed the admission new interview tool to be the sole statistically significant predictor of enrollment in the college. The study reported the interview score to be the sole statistically significant predictive factor in the model that forecasts student field-practice grades, particularly in their first year of study.

Originality/value

This information further corroborates that a good interview tool allows a more in-depth and well-based discussion about worthy candidates who do not meet the strict grade admission requirements. This invites discussion regarding the critical place of the interview in selection of candidates, especially in applied professions.

Details

Journal of Applied Research in Higher Education, vol. 12 no. 2
Type: Research Article
ISSN: 2050-7003

Keywords

Article
Publication date: 1 January 2012

Tzong‐Ru (Jiun‐Shen) Lee, Thi Phuong Nha Le, Andrea Genovese and Lenny S.C. Koh

The criteria selection of green suppliers is an interesting and practical research topic. With the development and consciousness of environmental management, this issue…

1827

Abstract

Purpose

The criteria selection of green suppliers is an interesting and practical research topic. With the development and consciousness of environmental management, this issue has received a significant consideration from academics, researchers and businessmen. The purpose of this paper is to study what factors are considered to be the most important when choosing partners/suppliers in a green supply chain, with reference to the Taiwanese hand tool industry, as this industry plays a major role in the Taiwanese economy.

Design/methodology/approach

Inheriting from previous researches, the literature about green supplier selection that appeared in international journals from 1997 to 2009 was reviewed. Then, the integrating fuzzy analytical hierarchy process (FAHP) approach is proposed to select the most important criteria for green supplier selection in the Taiwanese hand tool industry.

Findings

Ultimately, a list of criteria, along with their priority levels, is presented, not only to support Taiwanese hand‐tool companies when selecting suppliers, but also to help the suppliers of these companies to improve their performance in order to meet customers' (hand‐tool companies) requirements.

Originality/value

The approach used in this paper to select green suppliers can be applied to other industrial or geographical settings.

Details

Journal of Manufacturing Technology Management, vol. 23 no. 1
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 1 March 1999

Benjamin O’Shea, Hartmut Kaebernick, S.S. Grewal, H. Perlewitz, K. Müller and G. Seliger

A method for the automatic selection of tools in a disassembly or assembly environment is described. The method uses a cluster graph to represent the product in a fashion…

534

Abstract

A method for the automatic selection of tools in a disassembly or assembly environment is described. The method uses a cluster graph to represent the product in a fashion suitable for the simple identification of part inter‐relationships within the product. This graphical representation of the product is then converted directly into a dynamic programming model. To this dynamic programming model cost data are added and the optimum tool selection path is produced.

Details

Assembly Automation, vol. 19 no. 1
Type: Research Article
ISSN: 0144-5154

Keywords

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…

364

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

Keywords

Article
Publication date: 1 April 2006

Naga Hanumaiah, B. Ravi and N.P. Mukherjee

To provide a systematic framework for mold designers, that can be used for rapid tooling (RT) process selection and prioritization of process parameters.

2266

Abstract

Purpose

To provide a systematic framework for mold designers, that can be used for rapid tooling (RT) process selection and prioritization of process parameters.

Design/methodology/approach

This paper presents a QFD‐AHP methodology which has three phases. The first phase involves prioritizing the tooling requirements (driven by customer preferences) against a set of die/mold development attributes (such as product material, geometry, and die material and production order) through pair‐wise comparison using analytical hierarchal process (AHP). These priority ratings are used for selecting the most appropriate tooling process using quality function deployment (QFD) in the second phase. Finally, QFD is used again for identifying critical process parameters (such as layer thickness, scan pitch and laser power) for the selected RT process.

Findings

The QFD‐AHP methodology has been illustrated with industrial examples on RT for molded parts. The molds were fabricated using direct metal laser sintering and spray metal tooling processes, for example, 1 and 2, respectively, to prove that the methodology can be easily implemented in tool rooms. The issues noted in these experimental studies are also discussed for the benefit of researchers.

Research limitations/implications

The capabilities of the RT processes presented in the paper reflect the experience of the research team in RT development. The QFD‐AHP methodology will give progressively better results with a growing body of RT process knowledge.

Practical implications

This investigation is a key step towards the goal of developing a comprehensive system for RT process selection and manufacturability evaluation. The mold designer can use this QFD‐AHP process selection methodology, prior to detailed manufacturability analysis, to better realize the benefits of RT technologies.

Originality/value

The proposed QFD‐AHP methodology is a new approach for the tooling process selection domain, and has not been reported earlier; this can be easily used for similar applications for any manufacturing domain.

Details

Journal of Manufacturing Technology Management, vol. 17 no. 3
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 7 March 2016

Osama Alaskari, Mohammad Munir Ahmad and Ruben Pinedo-Cuenca

The purpose of this paper is to develop a methodology that can help small and medium enterprises (SMEs), in the manufacturing sector, to select an appropriate lean tool

1468

Abstract

Purpose

The purpose of this paper is to develop a methodology that can help small and medium enterprises (SMEs), in the manufacturing sector, to select an appropriate lean tool for the company which will maximum benefits from adopting the tool.

Design/methodology/approach

This study focuses on the selection of an appropriate lean tool for manufacturing SMEs. The methodology contains a quantitative approach that can assist SMEs in identifying the appropriate lean tool. A literature review, collation of experts’ opinions via a questionnaire and a case study (to provide a guideline as to how the developed methodology may work) are presented in this research.

Findings

The findings revealed that the proposed methodology was effective in identifying the appropriate lean tools for companies, according to the key performance indicators in the manufacturing SME sector.

Practical implications

The developed methodology can be used by manufacturing SMEs as a decision support system to enable the representatives of the company to make an informed decision regarding the selection of the most appropriate lean tool (i.e. that will address the most important issue that the company is experiencing). The strength of using this methodology is that appropriate lean tool can be ascertained relatively easily and inexpensively. There is the prospect of this methodology being applicable to most types of SMEs.

Originality/value

This methodology has proven to be useful for recommending the application of lean tools in a company’s attempt to become lean, bridging the gap identified in the literature review.

Details

International Journal of Lean Six Sigma, vol. 7 no. 1
Type: Research Article
ISSN: 2040-4166

Keywords

Article
Publication date: 1 December 1997

Mahbubur Rahim, Khaled Khan and Mohd. Hasan Selamat

In recent years, computer‐aided software engineering tools (CASE) have emerged to provide automation support to the software development process. Such automation is a…

Abstract

In recent years, computer‐aided software engineering tools (CASE) have emerged to provide automation support to the software development process. Such automation is a revolutionary progress which promises dramatic improvement in software quality and productivity. However, despite such promises, CASE tools have not proved to be effective in some organizations owing to the fact that far fewer efforts are expended by organizations on evaluation for selection and introduction of appropriate CASE tools. Proposes a conceptual model on CASE environment that is assembled from two distinct but related processes : “CASE selection” and “CASE adoption”. Further argues that CASE adoption process will be affected if an organization fails to select appropriate CASE tools. Therefore, the success of CASE adoption is very much dependent on the process of CASE selection. Moreover, there is also a possibility that even a suitable CASE tool may not contribute positively, if it is not adopted systematically. Thus, if the CASE adoption fails then a CASE environment would not function. Against this background, cites two case studies describing the experiences of two organizations that adopted a particular brand of front‐end CASE tool. One organization was successful in introducing the tool, and experienced considerable improvement in quality and productivity. Conversely, the same CASE tool failed to achieve its purpose in another organization. In the light of the model, further describes why and how CASE failed in one organization, and was considered successful in another. Finally, also highlights the lessons learned from their experiences.

Details

Information Technology & People, vol. 10 no. 4
Type: Research Article
ISSN: 0959-3845

Keywords

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