scholarly journals INTERPRETIVE STRUCTURAL MODELING OF IDENTIFIED SUCCESS FACTORS TO LEAN IMPLEMENTATION IN SMEs

2019 ◽  
pp. 69-77
Author(s):  
Arvind Kumar Shrimali
Keyword(s):  
Success Factors ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Lean Implementation

scholarly journals Interpretive Structural Modeling of Identified Success Factors to Lean Implementation in SMEs

2019 ◽  
Vol 1 (1) ◽  
pp. 69-77
Author(s):  
Arvind Kumar Shrimali
Keyword(s):  
Success Factors ◽  
Small And Medium Enterprises ◽  
Implementation Process ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Lean Implementation ◽  
Manufacturing Enterprises ◽  
Lean Practices ◽  
Instruments And Techniques ◽  
Medium Enterprises

Abstract Lean practices are implemented in manufacturing enterprises to find hidden waste and attain continuous improvement. Various enterprises have experienced benefits owing to the Lean implementation. Following the use of appropriate lean instruments and techniques, there are many factors that affect successful lean implementation process. Researchers have identified a large number of these success factors to implementation of Lean. Understanding these enablers and the interactions between them can be crucial to the success of lean implementation. Interpretive Structural Modeling (ISM) is one of the established methodologies to bring forward the interrelationships among parameters of an issue or a problem. The purpose of this paper is to create the hierarchy of the various success factors to Lean Implementation according to their importance using the approach of ISM to facilitate Small and Medium enterprises (SMEs) across India.

A fuzzy interpretive structural modeling approach for evaluating the factors affecting lean implementation in Indian healthcare industry

2019 ◽  
Vol 11 (2) ◽  
pp. 376-397 ◽  
Author(s):  
Puneeta Ajmera ◽  
Vineet Jain
Keyword(s):  
Healthcare Professionals ◽  
Structural Modeling ◽  
Healthcare Sector ◽  
Equation Modeling ◽  
Healthcare Industry ◽  
Interpretive Structural Modeling ◽  
Lean Implementation ◽  
Content Type ◽  
Lean Principles ◽  
Factors Influencing

Purpose Lean concept is implemented in healthcare organizations, as it deals with improvement processes so that best services may be provided to the patients and competitive advantage may be achieved. The purpose of this paper is to evaluate the important factors which influence implementation of lean principles in the healthcare industry. Design/methodology/approach The factors influencing lean implementation in the healthcare industry have been determined through literature review and results of a survey where questionnaires were distributed among 325 healthcare professionals. Fuzzy Interpretive Structural Modeling (FISM) approach has been used to analyze the interrelationships among these factors. A FISM model has been developed to extract the key factors influencing lean implementation. Findings Results of the survey and model show that lean leadership, professional organizational culture and teamwork and interdepartmental cooperation are the top level factors. Clarity of organizational vision, communication of goals and results, follow up and evaluations are the factors with strong driving as well as strong dependence power. Even a slight action taken on these factors will have a significant impact on other factors. Practical implications The healthcare professionals and managers can acquire information from the drive power dependence matrix so that they can thoroughly understand the relative importance, interdependencies and relationships among these factors. The model will help in determining the hierarchy of various actions and activities which may be taken by the management for managing the factors that remarkably affect the lean management in hospitals. Social implications In this paper, only 15 variables appropriate for the Indian healthcare industry have been identified. The model developed in the present research has not been validated statistically which can be done by structural equation modeling (SEM). Originality/value Though there are various studies which depict that lean principles have been implemented successfully in various industries, there are few studies specifying the application of lean principles in healthcare sector in India. This paper is an attempt to identify various factors which are important for application of Lean concept in the healthcare sector.

scholarly journals A novel approach to identify the best practices of quality management in SMES based on critical success factors using interpretive structural modeling (ISM)

2018 ◽  
Vol 7 (3.29) ◽  
pp. 130 ◽  
Author(s):  
Satyabrata Aich ◽  
Kamalakanta Muduli ◽  
Md Mehedi Hassan Onik ◽  
Hee Cheol Kim
Keyword(s):  
Information Technology ◽  
Quality Management ◽  
Critical Success Factors ◽  
Success Factors ◽  
Structural Modeling ◽  
Success Factor ◽  
Business Practices ◽  
Total Quality ◽  
Interpretive Structural Modeling ◽  
Critical Success

In recent years, most small and medium scale enterprises (SMEs) worldwide looking for improvement in their business practices in order to gain competitive advantage and total quality management(TQM) as a means by which SMEs could achieve the desired result. The objective of this study is to discover the critical success factors that are affecting the quality management practices in SMEs. In this work eight factors were identified through the literature review and experts from academic as well as industries. The factors are commitment to quality, employee involvement, customer focus, information technology, improved production planning and control, recognition system, supplier quality management, and management vision and mission. Interpretive structural modeling(ISM) is used to understand the complex relationships among the factors and classify the factors into various categories as per the driving and the dependence capacity. The result shows that information technology (IT) is a key success factor for implementing TQM in SMEs. It is observed that SMEs have to increase the use of IT to improve the quality of the product and productivity.  

Interpretive Structural Modeling of Critical Success Factors for Implementing Green Process Innovation in Manufacturing Enterprises

2011 ◽  
Vol 361-363 ◽  
pp. 1026-1029 ◽  
Author(s):  
Ke Xin Bi ◽  
Hui Zi Ma ◽  
Wan Hong Li
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Structural Modeling ◽  
Process Innovation ◽  
Successful Implementation ◽  
Green Process ◽  
Interpretive Structural Modeling ◽  
Manufacturing Enterprises ◽  
Critical Success ◽  
Green Process Innovation

Green process innovation is innovating manufacturing technology, process or organization management in an environment-friendly, energy-efficient and low-carbon way. 10 main factors that affect the successful implementation of green process innovation in manufacturing enterprises were categorized into TOE framework. Interrelationships of those critical success factors were structured by interpretive structural modeling, the results of which illustrated the influential structure for implementing green process innovation successfully, and could provide a systematic structure for managers and researchers that commit to the development of green process innovation.

scholarly journals SmartISM: Implementation and Assessment of Interpretive Structural Modeling

2021 ◽  
Vol 13 (16) ◽  
pp. 8801
Author(s):  
Naim Ahmad ◽  
Ayman Qahmash
Keyword(s):  
Scoping Review ◽  
Success Factors ◽  
Matrix Multiplication ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Specific Domain ◽  
Final Model ◽  
Critical Success ◽  
Visual Basic For Applications ◽  
Correct Application

Interpretive Structural Modeling (ISM) is a technique to establish the interrelationships between elements of interest in a specific domain through experts’ knowledge of the context of the elements. This technique has been applied in numerous domains and the list continues to grow due to its simplistic concept, while sustainability has taken the lead. The partially automated or manual application of this technique has been prone to errors as witnessed in the literature due to a series of mathematical steps of higher-order computing complexity. Therefore, this work proposes to develop an end-to-end graphical software, SmartISM, to implement ISM technique and MICMAC (Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (cross-impact matrix multiplication applied to classification)), generally applied along with ISM to classify variables. Further, a scoping review has been conducted to study the applications of ISM in the previous studies using Denyer and Tranfield’s (2009) framework and newly developed SmartISM. For the development of SmartISM, Microsoft Excel software has been used, and relevant algorithms and VBA (Visual Basic for Applications) functions have been illustrated. For the transitivity calculation the Warshall algorithm has been used and a new algorithm reduced conical matrix has been introduced to remove edges while retaining the reachability of variables and structure of digraph in the final model. The scoping review results demonstrate 21 different domains such as sustainability, supply chain and logistics, information technology, energy, human resource, marketing, and operations among others; numerous types of constructs such as enablers, barriers, critical success factors, strategies, practices, among others, and their numbers varied from 5 to 32; number of decision makers ranged between 2 to 120 with a median value of 11, and belong to academia, industry, and/or government; and usage of multiple techniques of discourse and survey for decision making and data collection. Furthermore, the SmartISM reproduced results show that only 29 out of 77 studies selected have a correct application of ISM after discounting the generalized transitivity incorporation. The outcome of this work will help in more informed applications of this technique in newer domains and utilization of SmartISM to efficiently model the interrelationships among variables.

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