Justification of synergistic implementation of TQM-SCM using fuzzy-based simulation model

2020 ◽  
Vol 17 (1) ◽  
pp. 71-89 ◽  
Author(s):  
Mandeep Kaur ◽  
Kanwarpreet Singh ◽  
Doordarshi Singh
Keyword(s):  
Business Performance ◽  
Manufacturing Industry ◽  
Research Work ◽  
Leadership Role ◽  
Total Quality ◽  
Inference System ◽  
Content Type ◽  
Synergistic Approach ◽  
Indian Industries ◽  
Significant Factors

Purpose The purpose of this paper is to evaluate the contribution of significant factors in the success of supply chain management (SCM) implementation and in synergistic approach (SCM-TQM) terms of business performance of Indian medium- and large-scale manufacturing industry. Design/methodology/approach This research paper deploys the fuzzy inference system (fuzzy logic tool box) to evaluate the success of SCM and synergistic approach’s implementation. For this purpose, significant factors for each SCM approach as well as synergistic approach are identified from relevant literature and validated by industry experts. Findings The results of fuzzy rule viewer and surface view tool of fuzzy tool box in MATLAB have highlighted that synergistic approach is better as compared to SCM approach. Furthermore, top management support and leadership role, SCM issues and total quality management (TQM) issues have emerged as significant predictor variables for successful synergistic implementation of TQM-SCM in Indian industries. Originality/value TQM and SCM are considered as performance improvement techniques by the manufacturing organizations. The present research work establishes that combined (TQM-SCM) initiatives have contributed more as compared to only SCM approach in the business performance of Indian manufacturing industry. So, the study stresses upon the need for improving coordination between various manufacturing parameters as well as competitive dimensions of TQM and SCM paradigms to enjoy higher potential of business performance.

Justification of green manufacturing implementation parameters using fuzzy-based simulation model

2020 ◽  
Vol 11 (4) ◽  
pp. 377-394
Author(s):  
Mahakdeep Singh ◽  
Kanwarpreet Singh ◽  
Amanpreet Singh Sethi
Keyword(s):  
Business Performance ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Research Work ◽  
Green Manufacturing ◽  
Inference System ◽  
Content Type ◽  
Medium Scale ◽  
Manufacturing Organizations ◽  
Significant Factors

Purpose This paper aims to evaluate the contribution of significant factors in the success of green manufacturing (GM) implementation in Indian small and medium-scale manufacturing organizations (SMEs). Design/methodology/approach In this paper, the fuzzy inference system (FIS; fuzzy logic toolbox) is deployed to assess the implementation of GM. For this purpose, significant factors for GM implementation success parameters are identified from relevant literature and validated by industry experts. Findings The output of FIS in MATLAB has given insight that adoption of new technology, customer’s attributes, social and government pressure and green supply chain management can be named as significant predicted variables for the success of GM implementation in Indian small and medium-scale organizations. Research limitations/implications The current research is carried out in Indian small and medium-scale manufacturing organizations with inputs from all over India but this study would not be applicable to the organizations of different sectors such as servicing sector and would also not applicable to the large-scale industries and other geographical locations other than India. Originality/value The present research work establishes that GM initiatives have contributed in the business performance of Indian small and medium-scale manufacturing industry. So, the study stresses upon the need for improving coordination between various manufacturing parameters as well as competitive dimensions of GM paradigms to enjoy higher potential of business performance.

Strategic impact of SCM and SCQM practices on competitive dimensions of Indian manufacturing industries

2019 ◽  
Vol 31 (5) ◽  
pp. 696-721 ◽  
Author(s):  
Mandeep Kaur Sidhu ◽  
Kanwarpreet Singh ◽  
Doordarshi Singh
Keyword(s):  
Business Performance ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Discriminant Validity ◽  
Research Work ◽  
Manufacturing Industries ◽  
Combined Approach ◽  
Total Quality ◽  
Content Type ◽  
Manufacturing Organizations

Purpose The purpose of this paper is to evaluate the capabilities of total quality management (TQM) and supply chain management (SCM) and extract various significant factors which influence the implementation of SCM alone and synergy of both TQM–SCM in terms of business performance of Indian medium and large scale manufacturing industry. Design/methodology/approach In the present study, 116 Indian manufacturing organizations have been extensively surveyed to ascertain the inter-relationships between various success factors and competitive dimensions of SCM alone and for combined approach (TQM–SCM), through different statistical techniques. Further, to evaluate the significance of time period on competitive dimensions, two-tailed t-test has been deployed. Finally the discriminant validity test has been applied to extract highly successful and moderately successful organizations for both approaches. Findings The study compares the contributions played by only SCM initiatives and combined approach (TQM–SCM) initiatives toward realization of significant improvements of various competitive dimensions of Indian manufacturing organizations. Finally, this study reveals that synergistic relationship of TQM and SCM paradigms can be more helpful as compared to only SCM initiatives for Indian manufacturing industries to enhance overall business performance. Originality/value TQM and SCM are considered as performance improvement techniques by the manufacturing organizations. The present research work establishes that combined (TQM–SCM) initiatives have effectively contributed for realization of significant competitive dimensions, progressively from introduction to maturity phases. So, the study stresses upon the need for improving coordination between various manufacturing parameters as well as competitive dimensions of TQM and SCM paradigms to enjoy higher potential of business performance.

An evaluation of transfusion of TQM-TPM implementation initiative in an Indian manufacturing industry

2015 ◽  
Vol 21 (2) ◽  
pp. 134-153 ◽  
Author(s):  
Kanwarpreet Singh ◽  
Inderpreet Singh Ahuja
Keyword(s):  
Business Performance ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Core Competencies ◽  
Current Status ◽  
Total Quality ◽  
Content Type ◽  
Global Challenges ◽  
Manufacturing Performance ◽  
Manufacturing Organization

Purpose – The purpose of this paper is to include investigations of current status of Total Quality Management (TQM) and Total Productive Maintenance (TPM) implementation initiatives as well as benefits attained through synergetic TQM-TPM implementation in the manufacturing organization to assess roadmap followed by Indian manufacturing entrepreneur toward affecting manufacturing performance enhancements. Design/methodology/approach – The study has been carried out in the large scale manufacturing organization in the country that have implemented or are in the process of implementing TPM alone and TQM-TPM both. The study emphasizes upon comparing of business performance enhancements accrued through these quality improvement approaches. Findings – The study revealed that Transfusion of TQM-TPM initiatives can significantly contribute toward the better improvement of manufacturing performance in the organization, rather than TPM alone initiatives, also leading toward realization of core competencies for meeting global challenges. Research limitations/implications – The study is conducted to develop an understanding of contributions of TQM and TPM initiatives in Indian manufacturing industry. The present study endeavors to investigate the effect of an aggressive TQM-TPM implementation plan for strategically meeting global challenges and competition. Originality/value – The study highlights the contributions made by holistic TQM-TPM implementation in an Indian manufacturing enterprise.

Synergetic success factors of total quality management (TQM) and supply chain management (SCM)

2019 ◽  
Vol 36 (6) ◽  
pp. 842-863 ◽  
Author(s):  
Mandeep Kaur ◽  
Kanwarpreet Singh ◽  
Doordarshi Singh
Keyword(s):  
Supply Chain ◽  
Quality Management ◽  
Total Quality Management ◽  
Business Performance ◽  
Manufacturing Industry ◽  
Total Quality ◽  
Critical Factors ◽  
Research Papers ◽  
Chain Management ◽  
Content Type

Purpose The purpose of this paper is twofold: first, to present a set of critical factors for total quality management (TQM) and supply chain management (SCM) practices through an extensive literature review; and, second, to identify the relationships among them by comparing the identified TQM and SCM practices in order to explore the concept of supply chain quality management (SCQM). Design/methodology/approach To meet the goals of this work, a review of published quality research papers was carried out. For this, the authors identified papers on TQM and SCM practices and observed how these practices improve the business performance of organizations. Further, on the basis of identified practices, a conceptual model of SCQM was developed. Findings The results presented a set of six critical factors each for TQM and SCM practices. Further, it was found that management support and commitment, customer focus, information and supplier partnership are the most common practices found in both TQM and SCM practices. The integration of TQM and SCM (SCQM) throughout the supply chain has the strongest impact on the organizational performance. Research limitations/implications The study used data from various research papers of reputed journals which considered the study of India’s manufacturing industry as well as other countries, which may not provide a clear picture. However, this can be overcome by applying the findings of this paper to collect data from Indian manufacturing industry in future studies. Practical implications Indian manufacturing industry can improve its competitive image through the synergy of TQM and SCM. The result of this paper will help in providing a greater understanding of identified TQM and SCM practices that will lead to the successful implementation of TQM and SCM strategies to enhance business performance in terms of the improved levels of customer service. Originality/value Much of the attention is given on TQM and SCM practices, and very few studies have been undertaken to integrate TQM and SCM practices. But as far as the authors know, there is no study undertaken to integrate TQM and SCM practices in India for the manufacturing class. Therefore, this study compares TQM and SCM practices and considers their integration and can be thus treated as filling a gap in the extant literature. Therefore, the findings of this review paper will contribute in future research.

An evaluation of just-in-time initiatives in the Indian industries

2015 ◽  
Vol 32 (6) ◽  
pp. 559-588 ◽  
Author(s):  
Gurinder Singh ◽  
Inderpreet Singh Ahuja
Keyword(s):  
Business Performance ◽  
Manufacturing Industry ◽  
Performance Enhancement ◽  
Industrial Sector ◽  
Manufacturing Industries ◽  
Just In Time ◽  
Content Type ◽  
Manufacturing Performance ◽  
Manufacturing Organizations ◽  
Indian Industries

Purpose – The purpose of this paper is to develop an insight into the prevalent just-in-time (JIT) practices adopted in Indian manufacturing industry for realizing the development and growth of the industrial sector. The endeavor of Indian manufacturing organizations to achieve manufacturing performance enhancement through JIT implementation has been highlighted in the present study. Design/methodology/approach – The present study has been conducted in the large- and medium-scale manufacturing industries of India that have successfully implemented or are in the various stages of implementing JIT. The approach of study has been directed toward assessment of JIT initiatives in Indian manufacturing industries. Findings – From the present study it is apparent that Indian organizations have been reasonably successful in improving the business performance by implementing holistic JIT initiatives and have successfully reaped the benefits of JIT implementation. However, it is also revealed in present study that Indian manufacturing industries need to work more aggressively on managing few issues of JIT. Originality/value – The value of paper is in calculation of percent point score for each issue of JIT in context to Indian manufacturing industry and to find out significant as well as issues that need to worked aggressively by Indian manufacturing industry to reap the benefits of JIT.

An empirical exploration of TQM, TPM and their integration from Indian manufacturing industry

2018 ◽  
Vol 29 (7) ◽  
pp. 1188-1210 ◽  
Author(s):  
Saumyaranjan Sahoo
Keyword(s):  
Business Performance ◽  
Manufacturing Industry ◽  
Production Management ◽  
Comparative Assessment ◽  
Research Approach ◽  
Performance Parameters ◽  
Total Quality ◽  
Content Type ◽  
Management Personnel ◽  
The Impact

Purpose The purpose of this paper is to comparatively assess the contributions of total quality management (TQM) and total productive maintenance (TPM) practices, exclusively and collectively, on manufacturing business performance. Design/methodology/approach Responses to survey questionnaires were collected using multiple modes of data collection. A total of 269 filled responses were collected and analyzed to ascertain the contribution made by exclusive and collective implementation of TQM and TPM practices on business performance. The respondent firms were grouped into three clusters based on early, in-transition and advanced stages of implementation of either or both TQM and TPM manufacturing practices. Comparative assessment of the impact of standalone TQM, standalone TPM and combined TQM–TPM manufacturing methods on business performance parameters have been evaluated using statistical tools within each cluster. Findings Evidences were found to support the supposition that integrated implementation of both TQM and TPM practices over a reasonable period of time contributes in delivering better business performance as compared to the standalone implementation strategy. Research limitations/implications The study has its own limitations because of its chosen research approach. As the data in this study were collected from production management personnel on the basis of their subjective evaluations, more comprehensive objective performance indicators shall be employed for comparative assessment of manufacturing practices in future studies. In-depth case studies are needed to further validate the findings of the research study. Practical implications The analytical results reveal that an integrated TQM–TPM strategic implementation can systematically contribute toward realization of significant improvement in manufacturing business performance parameters. The results of this study are vital for production managers and senior management personnel of manufacturing firms that have implemented TQM and are considering introducing TPM in their organization (or vice-versa). Originality/value This empirical study signifies the need for strategically aligning and managing various production improvement ideologies for realization of an organization’s growth and sustainability in a long run. In particular, this paper invigorates the discussion about improving the synergy between maintenance and quality functions in the organization for meeting the challenges of highly competitive market environment.

Assessing the synergy status of TQM and SCM initiatives in terms of business performance of the medium and large scale Indian manufacturing industry

2019 ◽  
Vol 37 (2) ◽  
pp. 243-278
Author(s):  
Mandeep Kaur ◽  
Kanwarpreet Singh ◽  
Doordarshi Singh
Keyword(s):  
Supply Chain ◽  
Lean Manufacturing ◽  
Business Performance ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Business Environment ◽  
Total Quality ◽  
Content Type ◽  
Manufacturing Performance ◽  
Manufacturing Organizations

Purpose The purpose of this paper is to develop an insight into the prevalent quality and supply chain practices adopted in the contemporary Indian manufacturing industry, and compare business performance measurements between transfusion of total quality management (TQM)–supply chain management (SCM) companies and only SCM implementing companies. Design/methodology/approach To meet the goals of this work, i.e., to ascertain contributions made by TQM–SCM practices, a reasonably large number of Indian manufacturing organizations have been extensively surveyed, through a specially designed TQM–SCM questionnaire. And the design of TQM–SCM questionnaire has been finalized through extensive literature review. Finalized TQM–SCM questionnaire was sent to around 720 industries that are implementing TQM and SCM with other related lean manufacturing practices. Findings The leading Indian manufacturing organizations have taken proactive initiatives to effectively improve the manufacturing by transfusing various lean manufacturing philosophies like TQM, SCM, TPM, 5S, Six Sigma, etc., for realizing enhanced manufacturing performance. The study reveals that Indian entrepreneurs have been reasonably successful in improving the business performances in the organizations by implementing combination of TQM and SCM, as TQM support to SCM is much effective and this improvement initiative has significantly contributed toward enhancing the overall manufacturing performance. Practical implications Synergy of TQM and SCM in the context of Indian manufacturing industry has been proved beneficial in terms of competitive image as well as business performance. Therefore, the whole Indian manufacturing entrepreneurs must continue to make an earnest effort in their endeavour to realize enhanced competitiveness through synergizing different business improvement initiatives. A major implication is that only SCM implementing companies should develop their supply chain through synergy of TQM–SCM after analyzing the business environment and their future plans. Originality/value Much of the attention has been given to TQM practices and SCM practices, and very few studies have been undertaken to integrate TQM and SCM practices. But as far as the authors know till now there is no study undertaken to analyze synergy status of TQM and SCM and then comparing with only SCM implementing companies in India for medium- and large-scale manufacturing class. Therefore, this study compares the transfusion of TQM–SCM with only SCM companies and can be, thus, treated as filling a gap in the extant literature. Therefore, the findings of this research paper will contribute to future research.

Interconnection between implementation and competitive dimensions of SCM and combined approach (TQM–SCM) in context of Indian manufacturing industry

2020 ◽  
Vol 17 (3) ◽  
pp. 269-281
Author(s):  
Mandeep Kaur ◽  
Kanwarpreet Singh ◽  
Doordarshi Singh
Keyword(s):  
Performance Improvement ◽  
Business Performance ◽  
Design Methodology ◽  
Manufacturing Industry ◽  
Combined Approach ◽  
Total Quality ◽  
Content Type ◽  
Manufacturing Organizations ◽  
Independent Parameters ◽  
Implementation Factors

PurposeThe purpose of this paper is twofold. Firstly to check the reliability between and within the parameters of total quality management–supply chain management (TQM–SCM) questionnaire and distribution of data collected through questionnaire from SCM and combined approach (TQM–SCM) companies. Secondly, to analyze the correlation connection among dependent and independent parameters of both SCM and combined approach in order to check and increase confidence in the data obtained before conducting actual research.Design/methodology/approachIn the present study, 45 Indian manufacturing organizations have been extensively surveyed to check the reliability of the data and then ascertain the inter-relationships between various independent factors and competitive dimensions of SCM alone and for combined approach (TQM–SCM).FindingsFirstly, the data for both the approaches are reliable. Secondly, independent variables (X1–X8) possess more strong correlation with business performance parameters of combined approach (TQM–SCM) companies as compared to only SCM companies.Originality/valueTQM and SCM are considered as performance improvement techniques by the manufacturing organizations. As far as the author knows, this is the first study that is designed to find the interconnection between implementation factors as well as competitive dimensions of SCM approach and TQM–SCM approach in the context of Indian manufacturing organizations.

Validity and reliability of lean manufacturing frameworks

2014 ◽  
Vol 5 (4) ◽  
pp. 361-391 ◽  
Author(s):  
Naga Vamsi Krishna Jasti ◽  
Rambabu Kodali
Keyword(s):  
Frequency Analysis ◽  
Lean Manufacturing ◽  
Manufacturing Industry ◽  
Research Work ◽  
Middle Level ◽  
Manufacturing Industries ◽  
Validity And Reliability ◽  
Content Type ◽  
Survey Tool ◽  
Industry Sector

Purpose – The purpose of this paper is to investigate, validity and reliability analysis on existing Lean manufacturing (LM) frameworks when applied to Indian organizations. LM is one of the best manufacturing strategies that are used by manufacturing plant managers to improve manufacturing capabilities. Design/methodology/approach – In the present research work, a questionnaire-based survey was used to examine 35 LM frameworks. The study targeted respondents ranging from top- and middle-level management personnel in Indian manufacturing industry. The sample includes organizations in a variety of industries ranging from automobile, electronics, engineering, process and textile industries products. The survey tool was prepared with team of 12 members i.e. six academicians and six professionals from manufacturing industry environment. The study received 186 responses from various sectors of manufacturing industry, 180 surveys were usable resulting in a response rate of 23.90 per cent. Factor analysis was conducted to check unidimentionality of the framework. Cronbach’s alpha is calculated to find reliability of each framework’s. Lastly, frequency analysis was used to recognize familiar constructs of LM on the chosen framework. Findings – This study has identified that most of the LM frameworks revealed a high level of reliability. When the study has examined further advance about unidimensionality with respect to the construct, i.e. the LM it measures, it confirmed 11 frameworks were revealing unidimensionality. The frequency analysis was evident that a greater part of the constructs has a high mean score and mode. Finally, the research concludes that there is requirement for a novel framework to Indian manufacturing industry to stay in competition with global manufacturing industries. Research limitations/implications – Cross-sectional data from manufacturing industries and India (only one country) is used with sample size restricted to 180 only, and it would be interesting to test these frameworks for more than one industry sector and country. Practical implications – The present work tries to find the suitability of the presented LM frameworks to Indian manufacturing industry sector. The authors hoped that the present research would give the information to the management to execute the suitable LM framework in their firm. Originality/value – The present work tries to find the suitability of the presented LM frameworks to Indian manufacturing industry sector. The authors hoped that the present research would give the information to the management to execute the suitable LM framework in their firm.

Contribution of green manufacturing for realizing business performance in Indian small and medium scale organizations (SME’s)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahakdeep Singh ◽  
Kanwarpreet Singh ◽  
Amanpreet Singh Sethi
Keyword(s):  
Business Performance ◽  
Discriminant Validity ◽  
Statistical Tests ◽  
Pearson Correlation ◽  
Green Manufacturing ◽  
Statistical Testing ◽  
Content Type ◽  
Medium Scale ◽  
Green Practices ◽  
Significant Factors

Purpose The current manuscript is focused on evaluating the capabilities of green practices that affect various business performance (BP) parameters of small and medium scale Indian manufacturing enterprises (SME’s). This study aims to obtain multiple significant factors that influence the implementation of green practices. Design/methodology/approach The manuscript focuses on statistical testing of responses obtained from 168 Indian SMEs to determine the relationship between input parameters and BP parameters. This paper starts with deploying tests such as Cronbach alpha and inter-item covariance test to obtain confidence in data collected, followed by various statistical tests such as Pearson correlation, multiple regression, canonical correlation to extract various significant factors the study. Further Games-Howell post hoc test is deployed to evaluate the significant improvements in BP gained over a reasonable duration of time. Finally, a discriminant validity test is used to find out the success or failure of the organizations that participated in the survey. Findings This research contributes to the holistic effect of green manufacturing (GM) toward gaining improvements in terms of different BP parameters taken for the study. It has been found that various input factors such as customer attributes, adoption of new technology, social pressure and government pressure are the main parameters for GM implementation. Further, it is observed that those at the maturity phase of GM implementation are reaping higher benefits than the organizations at the transition and stability phase. Originality/value The current study has been accomplished in Indian SME manufacturing organizations to investigate the effects of GM implementation in the organization. Although research findings imply the effective use of green practices within the organization to reap BP parameters and improve the market’s competitive image, the study cannot be generalized and can be used as an insight for both academicians and end-users in understanding the overall achievements of GM.

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