Modeling lean manufacturing success

2018 ◽  
Vol 13 (4) ◽  
pp. 908-931 ◽  
Author(s):  
Morteza Ghobakhloo ◽  
Masood Fathi ◽  
Dalila Benedita Machado Martins Fontes ◽  
Ng Tan Ching
Keyword(s):  
Structural Equation Modeling ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Human Resources Management ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Future Research ◽  
Management Support ◽  
Interpretive Structural Modeling ◽  
Content Type

Purpose The purpose of this study is to contribute to the existing knowledge about the process of achieving Lean Manufacturing (LM) success. Design/methodology/approach This study uses interpretive structural modeling and captures the opinions of a group of LM experts from a world-class Japanese automobile manufacturer, to map the interrelationships among potential determinants of LM success. This study further uses the data from a survey of 122 leading automobile part manufacturers by performing structural equation modeling to empirically test the research model proposed. Findings Management support and commitment, financial resources availability, information technology competence for LM, human resources management, production process simplicity, supportive culture and supply chain-wide integration are the key determinants that directly or indirectly determine the level of achievement of LM success. Research limitations/implications The determinants of LM success as experienced by Asian automobile manufacturers might be different from determinants of LM success as experienced by Western automobile manufacturers. An interesting direction for future research would be to capture the experts’ inputs from Western automobile manufacturers to complement the findings of this study. Practical implications The practical contribution of this study lays in the development of linkages among various LM success determinants. Utility of the proposed interpretive structural modeling and structural equation modeling methodologies imposing order, direction and significance of the relationships among elements of LM success assumes considerable value to the decision-makers and LM practitioners. Originality/value Building on opinions of a group of LM experts and a case study of leading auto part manufacturers, the present study strives to model the success of LM, a topic that has received little attention to date.

Analysis of interaction among the barriers to 5S implementation using interpretive structural modeling approach

2017 ◽  
Vol 24 (7) ◽  
pp. 1834-1853 ◽  
Author(s):  
Rajesh Attri ◽  
Bhupender Singh ◽  
Sunil Mehra
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Successful Implementation ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Modeling Approach ◽  
Manufacturing Organizations ◽  
Top Management Commitment

Purpose The purpose of this paper is to ascertain and analyze the interactions among different barriers of 5S implementation in manufacturing organizations. Design/methodology/approach In this paper, 15 barriers affecting the implementation of 5S in manufacturing organizations have been identified from literature analysis and discussion with academic and industrial experts. Afterwards, identified barriers were validated by using nation-wide questionnaire-based survey. Then, interpretive structural modeling (ISM) approach has been utilized to find out the interaction among the identified barriers in order to develop hierarchy-based model. Findings The research identifies several key barriers which have high driving power and weak dependence power. In this concern, these barriers entail extreme care and handling for successful implementation of 5S. Financial constraints, lack of top management commitment, and no proper vision and mission are found to be the key barriers. Research limitations/implications The developed ISM model is based on experts’ opinion. This developed hierarchy-based model requires further validation by using structural equation modeling approach or by performing detailed case studies. Originality/value In this paper, ISM-based structural model has been recommended for Indian manufacturing organizations, which is a novel exertion in the area of 5S implementation.

Lean and agile manufacturing: complementary or competing capabilities?

2020 ◽  
Vol 31 (4) ◽  
pp. 749-774 ◽  
Author(s):  
Tahir Iqbal ◽  
Muhammad Shakeel Sadiq Jajja ◽  
Mohammad Khurrum Bhutta ◽  
Shahzad Naeem Qureshi
Keyword(s):  
Lean Manufacturing ◽  
Structural Equation ◽  
Positive Impact ◽  
Agile Manufacturing ◽  
Equation Modeling ◽  
Future Research ◽  
Cross Sectional ◽  
Content Type ◽  
Exporting Firms ◽  
Strategic Capabilities

PurposeLean (TQM and JIT) and agile manufacturing (AM) are viewed as strategic capabilities that can help firms to meet diverse set of market demands. However, the question whether lean manufacturing and AM are complementary or competing capabilities is still open to discussion. This research proposes an integrated research framework that draws on complementary theory, theory of systems, and concept of fit to examine this question regarding these two strategic capabilities.Design/methodology/approachData are collected from 248 apparel exporting firms, and the proposed model is evaluated using structural equation modeling.FindingsResults show that lean manufacturing, AM, and supporting management and infrastructural practices have positive and complementary effects on firm's performance. Further, results depict that lean manufacturing and AM complementarity is a complete organizational synergistic phenomenon, and piecemeal implementation of these initiatives may lead to suboptimal or unsatisfactory results. Results also indicate that there is no significant direct (correlated and uncorrelated) relationship of management, infrastructure, lean manufacturing, and AM practices with firm's performance and support that lean manufacturing and AM are not competing paradigms.Research limitations/implicationsThis research is based on cross-sectional data from one industry. Future research should collect data from diverse sectors in different countries.Practical implicationsThis study provides a key insight for manufacturing managers that piecemeal implementation of lean manufacturing and AM does not yield optimal outcomes. In addition, study suggests that lean manufacturing and AM complementarity builds on strong foundation of strategic management and internal and external infrastructure. Therefore, managers should focus on development of skilled and empowered human resources, technological advancements, and learning and virtually integrated organizations for effective implementation of lean manufacturing and AM.Originality/valueProposed framework is one of the first, if not the first, that seeks to resolve the question: whether lean manufacturing and AM are complementary or competing capabilities. Complementary effects of lean manufacturing and AM along with management, internal infrastructure, and common external infrastructure practices have positive impact on performance. This study also segregated infrastructure practices into internal and common external infrastructure practices.

Structural equation modeling of lean manufacturing practices in a developing country context

2019 ◽  
Vol 30 (1) ◽  
pp. 122-145 ◽  
Author(s):  
Fayiz Dahash Shrafat ◽  
Mohammad Ismail
Keyword(s):  
Structural Equation Modeling ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Statistical Processing ◽  
Equation Modeling ◽  
Significant Implication ◽  
Sampling Frame ◽  
Statistical Process ◽  
Content Type ◽  
Lean Practices

PurposeThe purpose of this paper is to empirically examine lean manufacturing (LM) practices and to quantify their impact on business performance (BP), with particular emphasis on the mediating role of operational performance (OP) in deriving the BP benefits commonly linked with LM. It also seeks to identify those lean practices most appropriate for application.Design/methodology/approachEmpirical data on LM practices were collected using a structured survey questionnaire. The sampling frame was Jordanian companies registered and listed by the Amman Chamber of Commerce. In total, 500 questionnaires were distributed among 300 companies and a total of 249 completed questionnaires were eligible for statistical processing, a response rate of 49.8 percent. Invalid questionnaires were eliminated, leaving 228 usable. The theoretical relations were tested by structural equation modeling.FindingsAlthough the results of the statistical analysis indicate a positive and significant impact of implementing LM practices on both OP and BP, they also show that the various LM practices did not receive equal recognition among the organizations surveyed. The most commonly adopted lean principles were found to be total preventive maintenance, statistical process control and housekeeping 5S.Research limitations/implicationsOther lean practices have not been considered as a dimension in this study. However, it opens new avenues of investigation relevant to lean practices.Practical implicationsThe most significant implication of the study is that managers in manufacturing firms should place more emphasis on LM practices when developing strategies for leveraging performance. The study shows that the LM approach contributes to BP when LM practices are simultaneously implemented.Originality/valueThe originality of this study lies in the new context in which it was conducted. The study adds value by investigating the implementation of LM practices which have been transferred from developed to developing countries and by empirically examining their impact on key performance indicators within the Jordanian manufacturing sector.

Modeling the key barriers to lean construction using interpretive structural modeling

2017 ◽  
Vol 12 (4) ◽  
pp. 652-670 ◽  
Author(s):  
Sorokhaibam Khaba ◽  
Chandan Bhar
Keyword(s):  
Structural Equation ◽  
Resistance To Change ◽  
Structural Modeling ◽  
Lean Construction ◽  
Equation Modeling ◽  
Interpretive Structural Modeling ◽  
Lean Implementation ◽  
Content Type ◽  
Micmac Analysis ◽  
Relationship Of

Purpose The purpose of this study is to identify and analyze the key barriers to lean implementation in the construction industry using interpretive structural modeling (ISM) and Matrice d’ Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) analysis. Design/methodology/approach In this study, 13 barriers to lean construction (LC) have been identified through extensive review of literature and subsequently eliciting expert opinions. A proper hierarchy and contextual relationship of the barriers have been developed using ISM, and based on the driving and dependence power of the barriers, three groups of barriers have been found using MICMAC analysis. Findings Cultural differences are found to be the most important barrier to LC, whereas employees’ resistance to change and lack of performance measurement systems are the least significant barriers. Research limitations/implications The work is limited to literature review and experts’ opinion, and the model may be tested using structural equation modeling to verify the relationship of the barriers. Practical implications This ISM-based model would help the decision-makers, researchers and practitioners to prioritize and manage these barriers by better utilizing their resources for eliminating or minimizing the barriers to lean implementation. Originality/value The study of barriers to LC through an ISM-based model and the classification of barriers is a new attempt in the field of construction.

An empirical assessment of the antecedents of electronic-business implementation and the resulting organizational performance

2016 ◽  
Vol 26 (3) ◽  
pp. 661-688 ◽  
Author(s):  
Mahmoud Mohammad Migdadi ◽  
Mohammed Khair Saleem Abu Zaid ◽  
Omar Salameh Al-Hujran ◽  
Anas Mustafa Aloudat
Keyword(s):  
Knowledge Management ◽  
Organizational Performance ◽  
Structural Equation ◽  
Organizational Factors ◽  
Organizational Capabilities ◽  
Equation Modeling ◽  
Future Research ◽  
Management Support ◽  
Unified Framework ◽  
Content Type

Purpose – The purpose of this paper is to propose and empirically test a unified framework that captures the antecedents of e-business implementation, that is; organizational factors which is decomposed into organizational capabilities (training availability, technical expertise, knowledge level), knowledge management capabilities (knowledge acquisition, application, and sharing), adhocracy culture, and top management support, e-business implementation, and organizational performance (efficiency, sales performance, customer satisfaction, relationship development). Design/methodology/approach – Data from a survey of 258 top managers in Saudi Arabian enterprises were collected to empirically test the proposed research model. Additionally, the statistical techniques employed included a confirmatory factor analysis to examine the reliability and validity of the measurement model, and structural equation modeling using AMOS is utilized to test the hypotheses. Findings – The findings of this study suggest that organizational factors influence e-business implementation. Moreover, e-business implementation affects organizational performance. Research limitations/implications – This study did not investigate all organizational factors and knowledge management processes. Future research could assess the influence of additional factors such as technology and environment contexts on e-business implementation. Practical implications – Owners/managers considering e-business implementation would be best to focus on internal (organizational) factors and their interaction within and beyond the organization, rather than focussing exclusively on technological considerations. Originality/value – This study is significant for at least two reasons: it determines the key antecedents to successful business implementation based on organizational factors and it helps to understand the effects of e-business implementation on organizational performance.

On the use of structural equation modeling in marketing image research

2014 ◽  
Vol 26 (2) ◽  
pp. 315-338 ◽  
Author(s):  
Yamen Koubaa ◽  
Rym Srarfi Tabbane ◽  
Rim Chaabouni Jallouli
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Marketing Research ◽  
Equation Modeling ◽  
Future Research ◽  
Statistical Tool ◽  
Conceptual Tool ◽  
Content Type ◽  
Specific Field ◽  
Positive Return

Purpose – The purpose of this paper is to assess the use of structural equation modeling in one specific field of marketing research, the image research. Design/methodology/approach – A meta-analysis of a sample of image marketing works using structural equation modeling (SEM). The period of investigation is limited to the last five years to test for possible positive return of previous assessments of SEM use on the current SEM application. Findings – Following this work, three major conclusions emerged: the study of homogenous samples of SEM models is required to get to accurate assessment of using the technique; SEM application is getting better probably due to learning from SEM reviews; and the reliance on a conjoint assessment of the various SEM issues is necessary to avoid parsimonious assessments. This study has provided a concise and refreshed view on the use of SEM in one marketing field, the image research. Research limitations/implications – 47 SEM papers and 99 models along five years were examined through this research. Although the authors reviewed four of the most consulted databases in marketing, the authors might miss several interesting works not available in these databases during the investigation. It is interesting to add on the works reviewed in this study and to re-conduct the analysis. The objective is not to doubt the consistency of SEM image research but to provide writers and readers with tools that enable them to produce better quality SEM research. Moreover, the quantitative analysis could be larger. Future research can consider computing other statistics. Finally, in the standards of most of marketing journals, this paper is a bit long. But as suggested by Babin et al., journal editors should allow more space to SEM-based reviews as the nature of the discussion requires lengthening. Practical implications – Mastering the statistical tool in marketing research is as important as mastering the conceptual tool. Statistical learning and/or cooperation with statisticians is recommended. Originality/value – A multi-criteria review of works from one specific field in marketing research and across a recent period of time allowing for the test of possible positive return from previous reviews of SEM use on the quality of the current publications of SEM papers.

Investigating the impacts of ISO 9001 certification on lean manufacturing and supply chain relationship: an empirical analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Assadej Vanichchinchai
Keyword(s):  
Supply Chain ◽  
Structural Equation Modeling ◽  
Empirical Analysis ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Design Methodology ◽  
Management Practices ◽  
Iso 9001 ◽  
Equation Modeling ◽  
Content Type

Purpose This research examines the impacts of ISO 9001 certification on lean manufacturing (LM), supply chain relationship (SCR) and their sub-constructs Design/methodology/approach Data was collected from 516 manufacturers in Thailand. Structural equation modeling was applied to analyze the hypotheses Findings It was found that ISO 9001 certification significantly affects overall LM, its facility and quality sub-constructs, overall SCR, its supplier coordination, customer collaboration and customer coordination sub-constructs. ISO 9001 has insignificant impacts on production, purchasing and distribution of LM, and supplier collaboration of SCR. Originality/value This study is one of the first research to present insights into the impacts of ISO 9001 as a certificate rather than as a set of management practices on LM, SCR and their sub-constructs

Linkage between knowledge management and manufacturing performance: a structural equation modeling approach

2015 ◽  
Vol 19 (4) ◽  
pp. 814-835 ◽  
Author(s):  
Li Pin Tan ◽  
Kuan Yew Wong
Keyword(s):  
Knowledge Management ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Single Point ◽  
Equation Modeling ◽  
Future Research ◽  
Manufacturing Companies ◽  
Content Type ◽  
Knowledge Resources ◽  
Manufacturing Performance

Purpose – The purpose of this study is to examine the effect of knowledge management (KM) on manufacturing performance and the relationships among three KM measures, namely, knowledge resources, KM processes and KM factors. It also determined a collective set of KM metrics based on these three measures. Design/methodology/approach – Data were collected using questionnaires posted to 700 manufacturing companies in Malaysia from which 206 usable responses were obtained. The analysis and hypotheses testing were implemented using structural equation modeling. Findings – The results showed that the constructs of knowledge resources, KM processes and KM factors have significant and direct effects on manufacturing performance. In terms of covariance, the results also indicated that these three constructs were correlated with each other. Research limitations/implications – The sample over-represented large firms and the study was a cross-sectional approach that collected data at a single point in time. Practical implications – The results obtained would help managers to better understand the linkage between KM and manufacturing performance. They could use the results to manipulate their KM practices to improve their manufacturing performance. The proposed set of KM metrics could also act as a common language and provide directions for future research. Originality/value – This paper is one of the first empirical studies that has examined the relationship between KM and manufacturing performance. Furthermore, it has investigated the relationships among knowledge resources, KM processes and KM factors.

Cloud manufacturing: a myth or future of global manufacturing?

2020 ◽  
Vol 31 (7) ◽  
pp. 1325-1350
Author(s):  
Muhammad Haris Aziz ◽  
Summyia Qamar ◽  
Mohammad T. Khasawneh ◽  
Chanchal Saha
Keyword(s):  
Structural Equation ◽  
Cloud Manufacturing ◽  
Equation Modeling ◽  
Future Research ◽  
Adoption Process ◽  
Top Management ◽  
Theoretic Model ◽  
Management Support ◽  
Content Type ◽  
Wide Range

PurposeCloud manufacturing (CMfg) has emerged as a service-oriented paradigm that enables modularization and on-demand servitization of resources in the context of manufacturing. The plethora of studies on CMfg has led the authors to investigate its implementation, as most of the literature is theoretical or simulation-based. Therefore, the purpose of this study is to investigate the reality of the CMfg concept in terms of adoption.Design/methodology/approachA tri-theoretic model is developed using the technology adoption model, diffusion of innovation and technology-organization-environment for hypotheses development. Data are collected from 218 US manufacturers. The data analysis approaches are partial least squares structural equation modeling, while data visualization is done to further analysis.FindingsThe study shows that most of the US manufacturers are reluctant to adopt the CMfg. Further, the statistical findings imply that competitive pressure, top management support, compatibility and trialability play a vital role in its adoption. The success of the CMfg adoption relies on the implementation of the pre-installation stage and the top management decisions.Practical implicationsFor practitioners, the study provides insight on how to supervise the CMfg platform implementation to improve the adoption process. For researchers and academicians, the significance of trialability provides a wide range of research topics on developing the CMfg trials and models.Originality/valueThis paper highlights the concerns of manufacturers about the pros and cons of the CMfg adoption, as this topic has not been given due attention in the literature. This will help to align future research directions according to market concerns and mitigating the factors that are hindering its adoption.

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