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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

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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

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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…

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1749

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

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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…

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522

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

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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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258

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 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.

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2225

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

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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

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1319

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

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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

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Article
Publication date: 1 October 2002

K.L. Choy and W.B. Lee

Many companies that were once centrally involved in the actual manufacture of products, and the delivery of their supporting services, now find themselves primarily…

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3434

Abstract

Many companies that were once centrally involved in the actual manufacture of products, and the delivery of their supporting services, now find themselves primarily engaged in integrating a number of other organizations, some of which they may own but many of which will be independent, each of which goes to make up a particular supply network. Consequently, continuously tracking performance of suppliers and an appropriate selection mechanism is one of the crucial activities in managing this supply network. This paper presents an intelligent generic supplier management tool (GSMT) using the case‐based reasoning (CBR) technique for outsourcing to suppliers and automating the decision‐making process when selecting them. The development of GSMT and how the CBR technique is applied is then given, followed by an application of GSMT in Honeywell Consumer Products (Hong Kong) Limited.

Details

Logistics Information Management, vol. 15 no. 4
Type: Research Article
ISSN: 0957-6053

Keywords

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Article
Publication date: 1 March 2004

B. Gopalakrishnan, T. Yoshii and S.M. Dappili

This paper describes the design and development of a system for the selection and construction of vertical and horizontal machining center packages with a base machine and…

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1394

Abstract

This paper describes the design and development of a system for the selection and construction of vertical and horizontal machining center packages with a base machine and options format subject to budgetary constraints. Options are categorized and divided into groups depending on their utilization, and their selection is based on a priority setting. Options are categorized as those providing the capability for high speed, enhanced levels of productivity, high levels of machining complexity, high levels of machining accuracy, and potential for the inclusion of automation to facilitate and satisfy production requirements. A user‐friendly and object‐oriented computer0based decision support software system was developed incorporating real data from a machine tool sales organization.

Details

Journal of Manufacturing Technology Management, vol. 15 no. 2
Type: Research Article
ISSN: 1741-038X

Keywords

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