Identification of key enablers for total productive maintenance (TPM) implementation in Indian SMEs

2018 ◽  
Vol 25 (8) ◽  
pp. 2611-2634 ◽  
Author(s):  
Abhishek Jain ◽  
Harwinder Singh ◽  
Rajbir S. Bhatti
Keyword(s):  
Manufacturing Industry ◽  
Small And Medium Enterprises ◽  
Research Work ◽  
Decision Makers ◽  
Theoretic Approach ◽  
Total Productive Maintenance ◽  
Content Type ◽  
Graph Theoretic ◽  
Graph Theoretic Approach ◽  
Medium Enterprises

Purpose The purpose of this paper is to identify the key enabler for total productive maintenance (TPM) implementation in Indian small and medium enterprises (SMEs) by using graph theoretic approach (GTA). There are certain enablers for TPM implementation which helps the organization to implement it successfully. It is very essential to identify the nature and impact of these key enablers. Design/methodology/approach A large number of the enablers (27) have identified for TPM implementation in Indian SMEs from the available literature, questionnaire survey and expert opinion. These TPM enablers have categorized into six major categories. Findings In this research work, the intensity of identifying enablers has been calculated to show their impact or influence in TPM implementation. The value of intensity of TPM enablers shows the role or impact of individual enabler in the implementation of TPM in Indian SMEs. Practical implications This study provides an easy-to-use methodology for the practical decision makers in the manufacturing industry to improve their performance by implementing TPM in Indian SMEs. A detailed methodology has prepared to identify the enablers for TPM implementation in Indian SMEs by using GTA. This study also explains that how to check the feasibility of an organization to implement TPM in Indian SMEs successfully. Originality/value TPM is an improvement concept which holds the potential to improve manufacturing organizations, but its implementation is not easy in Indian SMEs. The reason behind the unsuccessful implementation of TPM in most of the organizations is the ignorance of impact of innumerable enablers and barriers.

Application of graph-theoretic approach for the evaluation of lean-six-sigma (LSS) critical-success-factors (CSFs) facilitating quality-audits in Indian small & medium enterprises (SMEs)

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manisha Lande ◽  
Dinesh Seth ◽  
Rakesh L. Shrivastava
Keyword(s):  
Six Sigma ◽  
Critical Success Factors ◽  
Success Factors ◽  
Lean Six Sigma ◽  
Theoretic Approach ◽  
Content Type ◽  
Graph Theoretic ◽  
Critical Success ◽  
Graph Theoretic Approach ◽  
Medium Enterprises

Purpose One of the major challenges for developing countries is the lack of mechanisms for the evaluation of critical success factors (CSFs) of quality initiatives, which hampers the journey toward sustainability. Lean Six Sigma (LSS) has been one of the most widely used initiatives supporting quality improvement with wastes reduction and facilitating sustainability. To expedite LSS and its spread, it is important to evaluate key CSFs. Accordingly, the purpose of this paper is to provide an approach for the evaluation of LSS-CSFs for Indian small and medium enterprises (SMEs). Design/methodology/approach The paper uses a graph theoretic approach and demonstrates the evaluation of LSS-CSFs by proposing an index. The development of index is illustrated using a set of seven prioritized CSFs based on the literature review paper (Lande et al., 2016). Findings This study guides about the translation of CSFs in the form of an index (number) and will benefit both researchers and practitioners, who wish to study the role of key CSFs for implementation and audit requirements for sustainability. Research limitations/implications Authors remain confined only to Indian SMEs. Originality/value LSS possesses the potential to enhance the performance of manufacturing SMEs, but its evaluation is not easy. This attempt for offering a useful evaluation scheme involving CSFs, in the areas of LSS in developing country contexts, is the first. The approach also facilitates both quality audits and benchmarking between different sets of CSFs. The approach is generalizable and can be extended in other areas.

An integrated interpretive structural modeling and a graph-theoretic approach for measuring the supply chain complexity in the Indian automotive industry

2018 ◽  
Vol 29 (3) ◽  
pp. 478-514 ◽  
Author(s):  
Kavilal E.G. ◽  
Shanmugam Prasanna Venkatesan ◽  
Joshi Sanket
Keyword(s):  
Supply Chain ◽  
Automotive Industry ◽  
Structural Modeling ◽  
Theoretic Approach ◽  
Passenger Vehicle ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Graph Theoretic ◽  
Graph Theoretic Approach ◽  
Numerical Index

Purpose Easily employable quantitative supply chain complexity (SCC) measures considering the significant dimensions of complexity as well as the drivers that represent those dimensions are limited in the literature. The purpose of this paper is to propose an integrated interpretive structural modeling (ISM) and a graph-theoretic approach to quantify SCC by a single numerical index considering the interdependence and the inheritance of the SCC drivers. Design/methodology/approach In total, 18 SCC drivers identified from the literature are clustered according to the significant dimensions of complexity. The interdependencies established through ISM and inheritance values of SCC drivers are mapped into a Variable Permanent Matrix (VPM). The permanent function of this VPM is then computed and the resulting single numerical index is the measure of SCC. Findings A scale is proposed by computing the minimum and maximum threshold values of SCC with the help of expert opinions of the Indian automotive industry. The complexity of commercial and passenger vehicle sectors within the automotive industry is measured and compared using the proposed scale. From the results, it is identified that the number of suppliers, increase in spare-parts due to shortened product life-cycle and demand uncertainties increase the SCC of the passenger vehicle sector, while number of parts, products and processes, variety of products and process and unreliability of suppliers increase the complexity of the commercial vehicle sector. The result indicates that various SCC drivers have a different impact on determining the SCC level of these two sectors. Originality/value The authors propose an integrated method that can be readily applied to measure and quantify SCC considering the significant dimensions of complexity as well as the interdependence and the inheritance of the SCC drivers that contribute to those dimensions. This index further helps to compare the complexity of the supply chain which varies between industries.

Evaluation of supply chain resilience index: a graph theory based approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nishtha Agarwal ◽  
Nitin Seth ◽  
Ashish Agarwal
Keyword(s):  
Supply Chain ◽  
Adjacency Matrix ◽  
Theoretic Approach ◽  
Worst Case ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Graph Theoretic ◽  
Graph Theoretic Approach ◽  
Resilience Index ◽  
Index Value

PurposeThe present study aims at developing a model to quantify supply chain resilience as a single numerical value. The numerical value is called resilience index that measures the resilience capability of the case company's supply chain. The model calculates the index value based on the interactions between the enablers of supply chain resilience and its dimensions.Design/methodology/approachGraph theoretic approach (GTA) is used to evaluate the resilience index for the case company's supply chain. In GTA, the dimensions of resilience enablers and their interdependencies are modelled through a digraph. The digraph depicting the influence of each dimension is converted into an adjacency matrix. The permanent function value of the adjacency matrix is called the resilience index (RI).FindingsThe proposed approach has been illustrated in context of an Indian automobile organization, and value of the RI is evaluated. The best case and the worst-case values are also obtained with the help of GTA. It is noted from the model that strategic level dimension of enablers is most important in contributing towards supply chain resilience. They are followed by tactical and operational level enablers. The GTA framework proposed will help supply chain practitioners to evaluate and benchmark the supply chain resilience of their respective organizations with the best in the industry.Originality/valueA firm can compare the RI of its own supply chain with other's supply chain or with the best in the industry for benchmarking purpose. Benchmarking of resilience will help organizations in developing strategies to compete in dynamic market scenario.

Modelling strategic orientation dimensions and performance of small and medium enterprises

2019 ◽  
Vol 14 (3) ◽  
pp. 754-772 ◽  
Author(s):  
Seemant Kumar Yadav ◽  
Vikas Tripathi ◽  
Geetika Goel
Keyword(s):  
Small And Medium Enterprises ◽  
Structural Modeling ◽  
Strategic Orientation ◽  
Decision Makers ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Manufacturing Performance ◽  
Different Dimensions ◽  
And Performance ◽  
Medium Enterprises

Purpose The purpose of this paper is to identify and rank different dimensions of strategic orientation and firm’s performance using the approach of interpretive structural modeling. Design/methodology/approach The study uses interpretative structural modeling and the MICMAC technique to establish a hierarchical relationship among different dimensions of entrepreneurial orientation and manufacturing performance of Indian SMEs. Findings The final outcome of interpretative structural modeling and the MICMAC analysis revealed a relationship between the variables under study along with the categorization of all in two different categories, depending upon their driving power and dependency, which decision-makers can also use while devising their strategy to improve performance. Originality/value To date, to the best of the authors’ knowledge, no significant contribution about such interrelationship was reported; therefore, this study is one of its types to fill this gap.

A PSO based investigation of research fields of researchers

Kybernetes ◽  
2019 ◽  
Vol 49 (6) ◽  
pp. 1767-1782
Author(s):  
Goldina Ghosh ◽  
C.B. Akki ◽  
Nivedita Kasturi
Keyword(s):  
Social Networking Sites ◽  
Design Methodology ◽  
Theoretic Approach ◽  
Network Graph ◽  
Content Type ◽  
Graph Theoretic ◽  
Research Fields ◽  
Graph Theoretic Approach ◽  
Hidden Knowledge ◽  
Extended Work

Purpose The purpose of this study is data generated from any social networking sites may provide some hidden knowledge on a particular domain. Based on this concept the previous paper had proved that social connectivity enhancement takes place through triadic closure and embeddedness in terms of social network graph-theoretic approach. Further, the work was justified by genetic algorithm (GA) where observation showed how interdisciplinary work can occur because of crossover, and therefore, different groups of researchers could be identified. Further enhancement of the work has been focused on in this paper. Design/methodology/approach In continuation with the previous work, this paper detects other possible fields related to “high graded researchers” who can share the information with the other group of researchers (“imminent high graded” and “new researchers”) using particle swarm optimization (PSO) technique. Findings While exploitation was done using GA in the previous work, exploration is done in the current work based on PSO using the same grade score value to the objective function. Both the velocity and direction of high graded researchers in this extended work could be derived, which was not possible using GA. Originality/value This could help the next two levels of researchers (“imminent high graded researchers” and “new researchers”) in expanding their research fields in line with the fields of high graded researchers.

Evaluating the implementation performance of a supplier development program

2016 ◽  
Vol 28 (4) ◽  
pp. 663-682 ◽  
Author(s):  
Srikanta Routroy ◽  
Sudeep Kumar Pradhan ◽  
C.V. Sunil Kumar
Keyword(s):  
Success Factors ◽  
Development Program ◽  
Theoretic Approach ◽  
Supplier Development ◽  
Content Type ◽  
Graph Theoretic ◽  
Critical Success ◽  
Graph Theoretic Approach ◽  
Proposed Model ◽  
Practical Implications

Purpose The purpose of this paper is to quantify, evaluate and compare the implementation performance of a supplier development (SD) program using graph theoretic approach (GTA). Design/methodology/approach Broadly 13 critical success factors (CSFs) were identified and they were classified into four significant categories (SCs). Featuring these SCs and CSFs under each SC, GTA was proposed for evaluating the implementation performance of SD programs. The analysis was further extended to evaluate the performance of a SD program along the timeline to capture the other influences (if any), eventually compare the results with different performance situations and accordingly set the future targets. Findings In order to demonstrate the utility of the proposed approach it was applied to an Indian manufacturing company. The results obtained shown that there has been a significant growth achieved in the implementation performance of a SD program over a period of three years (i.e. 12 quarters) along the chosen SCs and CSFs under each SC. It was also found that still there was a performance gap and scope for improvement in the SD program of the case company. Practical implications The proposed approach is aimed at providing a procedure for evaluating the implementation performance of a SD program. This study is an attempt to assist a manufacturer to assess its SD program and accordingly define its course of actions. Originality/value Although many issues related to SD have been widely recognized and studied, there are no specific studies available in the literature to assess the implementation performance of SD programs along the timeline. The proposed model has the ability to capture the performance and interdependencies of SCs, CSFs under each SC and also to quantify the implementation performance of a SD program along the timeline.

Modeling the supply chain finance (SCF) barriers of Indian SMEs using BWM framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chandra Prakash Garg ◽  
Vishal Kashav
Keyword(s):  
Supply Chain ◽  
Expert Panel ◽  
Small And Medium Enterprises ◽  
Hybrid Approach ◽  
Decision Makers ◽  
Extensive Literature ◽  
Financial Barriers ◽  
Content Type ◽  
Supply Chain Finance ◽  
Medium Enterprises

Purpose The presence of barriers in the supply chain finance (SCF) of small and medium enterprises (SMEs) cripples the productivity and efficiency of SMEs and makes it challenging to execute strategies. SCF barriers can be internal and external which tend to impede the desired performance and profitability of the SMEs. Therefore, the purpose of this paper is to discern the possible SCF barriers and analyze the criticality of the barriers to understand how they impact on the SMEs market of India. Design/methodology/approach This study proposes a novel hybrid approach called best worst method (BWM) to evaluate the discerned barriers. BWM technique is espoused to appraise the SCF barriers, so that the decision-makers can rationally comprehend the reason behind dominance of one barrier over other. Although such an assessment may possibly vary for different industries, that is why proposed approach is generic in nature and can be applied in real-world cases. The robustness of the suggested model is also assessed through sensitivity analysis. Findings SCF barriers are identified through extensive literature review and inputs from the industry. The results derived through BWM approach concludes that the “Financial Barriers” are censorious and foremost inhibitors for SMEs to flourish, therefore, require special attention by the top management. Likewise, “Supply and Suppliers Barriers” are ranked second, conversely, “Market and Policy Related Barriers” are found least critical in nature in SMEs of India. Research limitations/implications This work is specific to SCF barriers and other barriers have not been touched upon. The study is based on expert panel opinion for seeking information which is restricted to Indian context, as the members of the expert panel belong to same geography. Practical implications This research could aid decision-makers and strategists to comprehend the deep-rooted initiatives to achieve a comprehensive implication of SCF across SC network. By assessing SCF barriers, this study helps SMEs to understand their shortfalls and in answering the pertinent question of how to gain excellence in this intensely competitive market. Originality/value SMEs are considered as engines of economic development worldwide. India too is striving for increasing the growth and development of SMEs in every aspect, to gain operational excellence, to make profits or employment generation but presence of SCF barriers makes it difficult to achieve this in Indian SMEs. Therefore, it is imperative to analyze the criticality of the SCF barriers to understand how they impact on SMEs market of India. The paper illustrates the modeling of SCF barriers among SMEs using BWM approach, exhibiting how comprehending barriers can improvise productivity and efficiency of the SCs in SMEs.

Exploring the individual, social and organizational predictors of knowledge-sharing behaviours among communities of practice of SMEs in Malaysia

2018 ◽  
Vol 20 (3) ◽  
pp. 375-399 ◽  
Author(s):  
Christine Nya-Ling Tan ◽  
T. Ramayah
Keyword(s):  
Communities Of Practice ◽  
Manufacturing Industry ◽  
Small And Medium Enterprises ◽  
Social Factor ◽  
Content Type ◽  
Electronic Manufacturing Industry ◽  
Prior Literature ◽  
Perceived Consequences ◽  
The Individual ◽  
Medium Enterprises

Purpose To compete in a globally challenging environment, small and medium enterprises (SMEs) are increasingly pressured to leverage their relational capital to stay competitive. The purpose of this study is to model the KS behaviour of SMEs in an increasingly networked world through communities of practice (CoP). Design/methodology/approach Data were collected using a survey instrument developed based on prior literature from SMEs operating only in the electronic manufacturing industry. A total of 120 responses were received of which only 100 were valid. SmartPLS, a second-generation analysis software, was used to analyse the model developed. Findings The findings indicated that affect, reward, perceived consequences and social factor were all positive predictors of KS behaviour of SMEs in communities of practice. Interestingly, the facilitating conditions were found to negatively influence KS behaviour. Practical implications The findings are helpful to SMEs who are embarking on knowledge management (KM) practices in their respective companies and may be used to leverage the drivers of KM to improve more sharing behaviour that keeps SMEs competitive. Originality/value To the best of the authors' knowledge, few studies have explored the individual (i.e. perceived consequences, affect), social (i.e. social factor) and organisational (i.e. facilitating condition, reward) predictors of KS behaviour among CoP’s in Malaysian SMEs.

Value capture mechanism: R & D productivity comparison of SMEs

2015 ◽  
Vol 53 (2) ◽  
pp. 318-337 ◽  
Author(s):  
HanGyeol Seo ◽  
Yanghon Chung ◽  
Dongphil Chun ◽  
Chungwon Woo
Keyword(s):  
Lead Time ◽  
Manufacturing Industry ◽  
Institutional Environment ◽  
Small And Medium Enterprises ◽  
Value Capture ◽  
Content Type ◽  
Factors Affecting ◽  
Complementary Assets ◽  
Medium Enterprises ◽  
Informal Strategies

Purpose – The purpose of this paper is to examine which value capture strategies are efficient in the invention stage and commercialization stage for small and medium enterprises (SMEs). Design/methodology/approach – According to the characteristic of four primary value capture strategies, the authors categorized the formal-oriented strategy (patent), informal-oriented strategies (secrecy, lead-time), mix strategies (both formal and informal strategies), and whether to invest in complementary assets. In order to assess R & D productivity based on value capture strategy, this paper applied the two-stage data envelopment analysis for data collected from Korea Innovation Survey 2010. The sample was made up of 640 SMEs in manufacturing industry. Findings – The results suggest that informal strategy (secrecy, lead-time) is efficient in the invention stage. Furthermore, mixed use of formal (patent) and informal strategies results in higher productivity in the commercialization stage. Lastly, the results suggest that productivity may vary depending on the investment in complementary assets. Whereas the investment in complementary assets may reduce R & D productivity at the invention stage, it may increase the productivity at the subsequent commercialization stage. Research limitations/implications – This paper did not consider external conditions such as institutional environment, industry characteristics and complexity of technology, as possible factors affecting their firm performance that need future studies. Practical implications – For practitioners, the results seem to stress that should be good at combining value capture strategies in order to capture financial performance from the invention. Originality/value – This study is a novel attempt to analyze R & D productivity in terms of each value capture strategy throughout the two stages: invention stage; commercialization stage.

The effect of market orientation as a mediating variable in the relationship between entrepreneurial orientation and SMEs performance

2016 ◽  
Vol 7 (1) ◽  
pp. 39-59 ◽  
Author(s):  
Muslim Amin ◽  
Ramayah Thurasamy ◽  
Abdullah M. Aldakhil ◽  
Aznur Hafeez Bin Kaswuri
Keyword(s):  
Market Orientation ◽  
Significant Relationship ◽  
Entrepreneurial Orientation ◽  
Manufacturing Industry ◽  
Small And Medium Enterprises ◽  
Peninsular Malaysia ◽  
Entrepreneurial Firms ◽  
Content Type ◽  
Medium Enterprises ◽  
The Relationship

Purpose – This study aims to examine the effect of market orientation (MO) as a mediating variable in the relationship between entrepreneurial orientation (EO) and small and medium enterprises (SMEs)’ performance. Design/methodology/approach – A total of 500 SMEs in the manufacturing industry of food and beverages were involved in this study with a response rate of 117. Data collection was conducted in all states of Peninsular Malaysia including the northern, central, southern and eastern regions. Findings – The findings show that EO has a significant relationship with MO, and MO has a significant relationship with SME performance. MO will mediate the relationship between EO and SMEs’ performance. Practical implications – The higher the EO implemented in a business, the more willing a company will be to implement MO. This analysis shows that highly entrepreneurial firms tend to be highly market orientated and this affects SMEs’ performance. Originality/value – The results of this study show that the characteristic of entrepreneurial and MO practiced by SMEs in Malaysia has been significantly affected the SMEs’ performance. It indicates that EO offers a holistic and systematic model for supporting SMEs to build a well-maintained environment of MO and SMEs’ performance.

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