wow-inequalities/02-data/intermediate/wos_sample/ff1da48c6de0465c8c643b64c4c0ad45-naeemah-ali-jaber-a/info.yaml

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.'
affiliation: 'Wong, KY (Corresponding Author), Univ Teknol Malaysia, Sch Mech Engn,
  Dept Mfg \& Ind Engn, Skudai, Malaysia.

  Naeemah, Ali Jaber; Wong, Kuan Yew, Univ Teknol Malaysia, Sch Mech Engn, Dept Mfg
  \& Ind Engn, Skudai, Malaysia.'
author: Naeemah, Ali Jaber and Wong, Kuan Yew
author-email: 'j.naeemah@graduate.utm.my

  m-wongky@utm.my'
author_list:
- family: Naeemah
  given: Ali Jaber
- family: Wong
  given: Kuan Yew
da: '2023-09-28'
doi: 10.1108/IJPPM-04-2021-0198
earlyaccessdate: OCT 2021
eissn: 1758-6658
files: []
issn: 1741-0401
journal: INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT
keywords: 'Selection method; Tools selection; Lean management; Lean management

  tools; Lean manufacturing'
keywords-plus: 'TOYOTA PRODUCTION SYSTEM; DECISION-MAKING METHOD; HIERARCHY PROCESS
  AHP;

  6 SIGMA; SUSTAINABILITY; PERFORMANCE; IMPACT; MODEL; SMES;

  IMPLEMENTATION'
language: English
month: MAR 24
number: '4'
number-of-cited-references: '109'
pages: 1077-1110
papis_id: af7e7118219e27a63feedd1f2bf7bafb
ref: Naeemah2023selectionmethods
researcherid-numbers: Wong, Kuan Yew/D-1577-2010
tags:
- review
times-cited: '1'
title: 'Selection methods of lean management tools: a review'
type: article
unique-id: WOS:000713662400001
usage-count-last-180-days: '22'
usage-count-since-2013: '102'
volume: '72'
web-of-science-categories: Management
year: '2023'