Identification of barriers to synergistic implementation of TQM-SCM

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mandeep Kaur ◽  
Kanwarpreet Singh ◽  
Doordarshi Singh
Keyword(s):  
Supply Chain ◽  
Business Performance ◽  
Design Methodology ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Successful Implementation ◽  
Action Plans ◽  
Content Type ◽  
Manufacturing Organizations ◽  
Manufacturing Organization

PurposeThe study aims at finding out major barriers for synergistic adoption of TQM-SCM in the medium- and large-scale manufacturing organizations in India. All these barriers create hurdles for the organizations as well as supply chain partners in improving their business performance. The study is a blend of theoretical and practical frameworks, which will focus on key barriers leading to interrupt the successful synergistic implementation of TQM-SCM in manufacturing organization.Design/methodology/approachFirstly, survey of 116 Indian organizations has been carried out to identify barriers that hinder successful implementation of TQM-SCM. Afterward, VIKOR approach was proposed to rank the major barriers of TQM-SCM implementation in Indian manufacturing organizations.FindingsIdentification of barriers to synergistic implementation of TQM-SCM in the manufacturing industry of India, ranking of these barriers in terms of their severity.Originality/valueThe adoption of TQM-SCM on synergistic basis is still in its early stages in India. To the authors’ knowledge, this is the first study that is designed to prioritize barriers responsible for hindering successful synergistic implementation of (TQM-SCM) in Indian manufacturing industry. Further, the results of the study will be helpful for managers in order to prepare action plans to overcome the hurdles to TQM-SCM implementation.

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.

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.

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.

An evaluation of agile manufacturing initiatives in the Indian manufacturing industry

2019 ◽  
Vol 37 (1) ◽  
pp. 156-187 ◽  
Author(s):  
Rahul Kumar ◽  
Kanwarpreet Singh ◽  
Sanjiv Kumar Jain
Keyword(s):  
Business Performance ◽  
Design Methodology ◽  
Manufacturing Industry ◽  
Performance Enhancement ◽  
Agile Manufacturing ◽  
Survey Questionnaire ◽  
Content Type ◽  
Manufacturing Organizations ◽  
Manufacturing Initiatives ◽  
Insight Into

Purpose The purpose of this paper is to examine the contribution of agile manufacturing (AM) initiatives in the Indian manufacturing industry and their influence on the business performance enhancement. Design/methodology/approach A survey questionnaire was designed to attain the research objectives. The variables included in the questionnaire were adapted from the elaborated literature review and validated through discussion held with practitioners, academicians and the industry experts. AM questionnaire was sent to approximately 500 randomly selected manufacturing organizations in the northern spectrum of India through e-mails and posts, out of which 154 usable responses were received. Findings The study identified that the Indian manufacturing industry has been reasonably successful in improving the business performance by implementing AM initiatives and has successfully reaped the benefits of AM implementation. Originality/value The present work develops an insight into the prevailing AM practices adopted by Indian manufacturing organizations. The study calculated the percent point score for each issue of AM initiative with respect to the Indian manufacturing industry and highlighted its impact on the enhancement of business performance.

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.

Path analysis for proposed framework of SCM excellence in Indian manufacturing industry

2016 ◽  
Vol 27 (4) ◽  
pp. 577-611 ◽  
Author(s):  
Gunjan Soni ◽  
Rambabu Kodali
Keyword(s):  
Supply Chain ◽  
Path Analysis ◽  
Structural Equation ◽  
Design Methodology ◽  
Manufacturing Industry ◽  
Structural Models ◽  
Statistical Testing ◽  
Model Fit ◽  
Content Type ◽  
Equation Modelling

Purpose – Several authors in extant literature have shown concern towards lacuna in availability of standard constructs in supply chain management (SCM). These standard constructs can represent pillars of SCM excellence. However, frameworks on SCM excellence unlike its contemporary fields are very few. Thus the purpose of this paper is to develop a path analysis for proposed framework of SCM excellence in Indian manufacturing industry proposed by Soni and Kodali (2014) using interpretive structural modelling (ISM) and structural equation modelling (SEM). Design/methodology/approach – The ISM is performed on two exemplary cases of supply chain in Indian manufacturing industry. These cases were selected on the consideration of supply chain excellence index (SCEI), based on the results of an empirical study conducted by Soni and Kodali (2014) in Indian manufacturing industry. The focal manufacturing company which exhibited lowest and highest SCEI were selected as contenders for developing ISM. The relationships among pillars and constructs of SCM excellence framework are obtained from ISM, and later are subjected to statistical testing of model fit by using SEM. The input to SEM was the respondent’s data used in previous study. Findings – The major findings revealed that ISM based on focal company having highest SCEI, is statistically fit for SCM excellence framework, and finally the structural models of the constructs for each pillar of SCM excellence are also formed by using path analysis. Originality/value – The study offers a unique managerial approach for analysing the underlying relationships between pillars of SCM excellence. Researchers can use this study for developing frameworks in various realms of SCM excellence.

scholarly journals Mathematical Analysis of Supply Chain Optimization focusing on Artificial Neural Network: A case study in Apparel Manufacturing Organization

2022 ◽  
Author(s):  
Shibbir Ahmad ◽  
Mohammad Kamruzzaman
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Selection Criteria ◽  
Manufacturing Industry ◽  
Supply Chain Optimization ◽  
Apparel Manufacturing ◽  
Manufacturing Organizations ◽  
Manufacturing Organization ◽  
The Right

Abstract In this study, implemented artificial nueral network (Ann) in apparel manufacturing organizations to optimize the supply chain converging on right supplier selection by analyzing their performance criteria.Moreover, data collected from three diffrents factory to analyze the efficiney and profit -loss status of that units. Furthermore, analyze the supplier selection criteria of three suppliers in order to select the right supplier at the real time in apparel manufacturing industry . This study shows that it can be saved 20 % of the total cost.

Optimal supply chain performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Supply Chain ◽  
Data Analytics ◽  
Business Performance ◽  
Design Methodology ◽  
Dynamic Capabilities ◽  
Internal Dynamic ◽  
Content Type ◽  
Combining Data ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Companies can enhance their supply chain by combining data analytics and the digitization of activities. Manager focus on internal dynamic capabilities and effectiveness of data acquisition and utilization increases the possibility of improved operational and business performance. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

An investigation of barriers to waste management techniques implemented in Indian manufacturing industries using analytical hierarchy process

2020 ◽  
Vol 17 (1) ◽  
pp. 58-70
Author(s):  
Harsimran Singh Sodhi ◽  
Doordarshi Singh ◽  
Bikram Jit Singh
Keyword(s):  
Waste Management ◽  
Analytical Hierarchy Process ◽  
Design Methodology ◽  
Manufacturing Sector ◽  
Management Technique ◽  
Content Type ◽  
Manufacturing Organizations ◽  
Management Techniques ◽  
Manufacturing Organization ◽  
Hierarchy Process

Purpose The purpose of this paper is to identify the various barriers in the implementation of waste management techniques in manufacturing organizations. Design/methodology/approach In this study, 121 SMEs of the manufacturing sector have been extensively surveyed, to assess the relative impact of barriers in the waste management technique in a manufacturing organization. Further, analytical hierarchy process (AHP) has been used to identify the most significant barriers. Findings Major barriers in the implementation of a waste management technique in a manufacturing organization have been identified and their weightage has been calculated through the AHP model. Originality/value This study will assist the floor managers in manufacturing organizations to identify the major barriers and to plan accordingly for the adequate implementation of waste management technique.

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