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

Published date06 January 2020
Pages71-89
DOIhttps://doi.org/10.1108/WJSTSD-08-2019-0058
Date06 January 2020
AuthorMandeep Kaur,Kanwarpreet Singh,Doordarshi Singh
Subject MatterPublic policy & environmental management,Environmental technology & innovation
Justification of synergistic
implementation of
TQM-SCM using fuzzy-based
simulation model
Mandeep Kaur
Department of Mechanical Engineering,
GZS PTU Campus Bathinda, Bathinda, India
Kanwarpreet Singh
Punjabi University, Patiala, India, and
Doordarshi Singh
Department of Mechanical Engineering,
Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib, India
Abstract
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 approachs 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 vi ewer and surface view tool o f fuzzy tool box in MATLAB have
highlighted that syner gistic approach is bette r as compared to SCM approach. Furthermore, top
management support and l eadership role, SCM issue s and total quality manage ment (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.
Keywords Fuzzy inference system, Business performance parameters, SCM implementation,
Synergistic implementation
Paper type Research paper
1. Introduction
Industries have played an important role in terms of the economic growth and national
development. However, Indian manufacturing industries lack, because manufacturing in India
is still a mere 16 percent of the countrys GDP while it is 34 percent for China and 40 percent for
Thailand (Gorane and Kant, 2017). In other words, till date, Indias manufacturing sector has
not performed well as compared to some other large emerging economies. Moreover, nowadays
customersmajor considerations are product quality and service quality; they want high
quality products and fast delivery (Randhawa and Ahuja, 2018). As a result of this scenario,
Indian organizations are under pressure to search new methods to enhance profitability and
sustainability in todays market (Sundharam et al., 2013; Govindan et al., 2016). So to survive,
manufacturing firms across the world has provided consistent impetus to introduce innovative
World Journal of Science,
Technology and Sustainable
Development
Vol. 17 No. 1, 2020
pp. 71-89
© Emerald PublishingLimited
2042-5945
DOI10.1108/WJSTSD-08-2019-0058
Received 11 August 2019
Accepted 18 September 2019
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/2042-5945.htm
71
TQM-SCM
using FBS
model
manufacturing management approaches (Singh and Ahuja, 2014). Total quality management
(TQM) and supply chain management (SCM) are innovative improvement approaches to seek
improvement in business performance. Implementation of these strategies had helped
organizations all over the world, in terms of attaining customer satisfaction, reliability,
productivity, market share, timely delivery, profitability and even survival. Customer
satisfaction in terms of product availability, delivery, innovation and quality dimensions can be
achieved by the implementation of TQM and SCM strategies (Sharma and Modgil, 2015).
Hence, organizations emphasized the importance of adopting different improvement
strategies such as TQM and SCM on synergistic basis for boosting business performance
(Kaur et al., 2019).
In recent years, SCM has emerged as a major inter-organizational practice for gaining
competitive advantage especially through networks with suppliers and customers
( Janvier-James, 2012) to improve their performance (Ou et al., 2010). Likewise, TQM is
recognized as a key strategy to enhance performance of the firms (Mensah et al., 2012) in
terms of organizational excellence (Goetsch and Davis, 2013), and improves
competitiveness in the global marketplace (Altayeb and Alhasanat, 2014) through
reducing costs and increasing productivity (Psomas et al., 2014) of the physical and human
organizational assets (Silva et al., 2014).
Furthermore, the literature reveals that a firms quality management (QM) approaches
and SCM practices complement each other and need to be integrated to achieve superior
financial and business performance (Terziovski and Hermel, 2011). Therefore, keeping in
view the literature and individual benefits of TQM and SCM approaches, researchers
have diverted their energy on the synergies of QM and SCM in order to enhance
supply chain performance (Robinson and Malhotra, 2005; Foster and Ogden, 2008;
Kuei et al., 2011; Quang et al., 2016; Zhong et al., 2016; Gu et al., 2017; Fernandes et al.,
2017; Kaur et al., 2019). This area has been formally termed as supply chain quality
management (SCQM).
Furthermore, Th e mediating effect of int egration of TQM and SC M is recognized in
terms of enhanced supply chain integration (Mahdiraji et al., 2012; Quang et al., 2016;
Zhong et al., 2016; Gu et al., 2017), improved customer satisfaction (Mahdiraji et al., 2012;
Sharma and Modgil, 2015; Quang et al., 2016; Gu et al., 2017), enhanced firm performance
(Mahdirajiet al., 2012; Quang et al., 2016; Sharma and Modgil, 2015; Zhong et al., 2016) and
improved supply chain performance (Mahdiraji et al., 2012; Zhong et al., 2016). Therefore
in practice, by getting inspiration from other globally leading organizations, Indian
manufacturing organizations are likely to combine both TQM and SCM in order to
enhance their business performance.
The paper is organized as follows. It starts with a review of the literature pertinent to
SCM and synergistic approachs (TQM-SCM) significant factors. The next section discusses
the adopted quantitative methodology followed by an analysis of the data by using fuzzy
logic approach. The final section deals with conclusion of the study.
2. Literature review
This section presents a review of the literature on significant factors of SCM approach,
synergistic approach (TQM-SCM), and fuzzy logic interface.
2.1 Business performance improvement by SCM: significant factors
As SCM is interdisciplinary by origin, it has various definitions. SCM concept is defined by
Shimchi-Levi et al. (2000) and Park and Krishnan (2001) as a set of approaches utilized to
efficiently integrate suppliers, manufacturers, warehouses and stores, so that merchandise
is produced and distributed at the right quantities, to the right location and at the right
time, in order to minimize system-wide costs while satisfying service-level requirements.
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