Lean Enhancement by Application of Total Interpretive Structural Modelling

2022 ◽  
Vol 13 (1) ◽  
pp. 0-0
Keyword(s):  
Case Studies ◽  
Lean Manufacturing ◽  
Structural Modeling ◽  
Manufacturing Flexibility ◽  
Structural Modelling ◽  
Interpretive Structural Modeling ◽  
Factors Affecting ◽  
Modeling Methodology ◽  
Level Of Automation ◽  
Total Interpretive Structural Modelling

Prioritizing of factors for effective lean manufacturing poses a challenge to management due to complexities in interrelationships. Diligent understanding of measures of lean manufacturing assumes great importance. Essential manufacturing flexibilities take care of uncertainties driven by dynamics of the market. Interrelationship between factors of manufacturing flexibility and lean manufacturing adds to complexity. Judicious analysis of these factors is imperative to understand their effect on lean manufacturing. Total interpretive structural modeling methodology is used for establishing relationships among the factors affecting lean performance. Case studies have been carried out and TISM is applied to understand the dynamism of factors. Study brings out how the organization of the companies and level of automation help in understating the driving and dependence power. The study helps in understanding the influence of hierarchy and level of factors identified by TISM technique on lean performance as also the factors which merit attention of top management to achieve better results

scholarly journals Factors Affecting the Lut Desert Tourism in Iran: Developing an Interpretive-Structural Model

2021 ◽  
Vol 13 (13) ◽  
pp. 7245
Author(s):  
Beniamino Murgante ◽  
Mohammad Eskandari Sani ◽  
Sara Pishgahi ◽  
Moslem Zarghamfard ◽  
Fatemeh Kahaki
Keyword(s):  
Sampling Method ◽  
Structural Model ◽  
Tourism Development ◽  
Cost Effective ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Factors Affecting ◽  
Purposive Sampling ◽  
Interpretive Structural Model ◽  
Lut Desert

The Lut desert is one of the largest and most attractive deserts in Iran. The value of desert tourism remains unclear for Iran’s economy and has only recently been taken into consideration by the authorities, although its true national and international value remains unclear. This study was aimed at investigating the factors that influence tourism development in the Lut desert. Data collected through the purposive sampling method was analyzed using Interpretive Structural Modeling and the MICMAC Analysis. According to the results, cost-effective travel expenses, security, and safety provided in the desert, together with appropriate media advertising and illustration of the Lut desert (branding) are the leading factors that influence tourism in the Lut desert in Iran. This paper highlighted the importance of desert tourism, especially in this region.

Factors affecting strategic plan implementation using interpretive structural modeling (ISM)

2018 ◽  
Vol 31 (5) ◽  
pp. 406-414 ◽  
Author(s):  
Mohammadkarim Bahadori ◽  
Ehsan Teymourzadeh ◽  
Hamidreza Tajik ◽  
Ramin Ravangard ◽  
Mehdi Raadabadi ◽  
...  
Keyword(s):  
Strategic Planning ◽  
Planning Process ◽  
Strategic Plan ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Plan Implementation ◽  
Content Type ◽  
Factors Affecting ◽  
Strategic Planning Process ◽  
The Relationship

PurposeStrategic planning is the best tool for managers seeking an informed presence and participation in the market without surrendering to changes. Strategic planning enables managers to achieve their organizational goals and objectives. Hospital goals, such as improving service quality and increasing patient satisfaction cannot be achieved if agreed strategies are not implemented. The purpose of this paper is to investigate the factors affecting strategic plan implementation in one teaching hospital using interpretive structural modeling (ISM).Design/methodology/approachThe authors used a descriptive study involving experts and senior managers; 16 were selected as the study sample using a purposive sampling method. Data were collected using a questionnaire designed and prepared based on previous studies. Data were analyzed using ISM.FindingsFive main factors affected strategic plan implementation. Although all five variables and factors are top level, “senior manager awareness and participation in the strategic planning process” and “creating and maintaining team participation in the strategic planning process” had maximum drive power. “Organizational structure effects on the strategic planning process” and “Organizational culture effects on the strategic planning process” had maximum dependence power.Practical implicationsIdentifying factors affecting strategic plan implementation is a basis for healthcare quality improvement by analyzing the relationship among factors and overcoming the barriers.Originality/valueThe authors used ISM to analyze the relationship between factors affecting strategic plan implementation.

scholarly journals Supply Chain Finance Factors: An Interpretive Structural Modeling Approach

2021 ◽  
Vol 29 (1) ◽  
pp. 88-111
Author(s):  
Zericho Marak ◽  
◽  
Deepa Pillai ◽  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Information Sharing ◽  
Structural Modeling ◽  
Influential Factors ◽  
Previous Literature ◽  
Critical Factors ◽  
Interpretive Structural Modeling ◽  
Modeling Methodology ◽  
Supply Chain Finance

Purpose: The present study aims to identify the critical factors of supply chain finance and the interrelationship between the factors using interpretive structural modeling. Methodology: Factors of supply chain finance were identified from the literature and experts from both industry and academia were consulted to assess the contextual relationships between the factors. Then, we applied interpretive structural modeling to examine the interrelationships between these factors and find out the critical factors. Findings: The model outcome indicates information sharing and workforce to be the most influential factors, followed by the automation of trade and financial attractiveness. Originality/value: Previous literature identified various factors that influence supply chain finance. However, studies showing interrelationships between these factors are lacking. This study is unique in the field as it applies total interpretive structural modeling for assessing the factors that affect supply chain finance. Our model will aid practitioners’ decision-making and the adoption of supply chain finance by providing a necessary framework.

Total Interpretive Structural Modeling of Emotional Intelligence at Workplace

2015 ◽  
Vol 2 (2) ◽  
pp. 1-19
Author(s):  
Irameet Kaur ◽  
Charu Shri
Keyword(s):  
Emotional Intelligence ◽  
Performance Management ◽  
Work Stress ◽  
Structural Modelling ◽  
Workplace Relationships ◽  
Critical Importance ◽  
Interpretive Structural Modeling ◽  
Efficient Management ◽  
Decision Making Processes ◽  
Total Interpretive Structural Modelling

In today's competitive scenario, the increasing work stress and responsibilities demand efficient management of emotions while dealing with others at workplace. The concept of emotional intelligence (EI) of employees is hence gaining critical importance in maintaining effective workplace relationships and increased performance. To gain a deeper insight about the concept of EI, it becomes important to understand the major variables that influence it and their mutual interplay for enhancement of employee EI. Based on literature inputs and expert views, eight most important variables influencing emotional intelligence have been identified and a hierarchical model has been developed. The approach of TISM (Total Interpretive Structural Modelling) has been used to conceptualize the model which provides a practical structure of variables of emotional intelligence that can aid in decision making processes for performance management. The paper is a significant leap towards understanding the strategic structure of emotional intelligence of employees at workplace.

scholarly journals The COVID-19 Crisis and Complexity in the United States

2021 ◽  
Vol 12 ◽  
Author(s):  
K. Basel ◽  
M. Campos ◽  
G. Handley ◽  
D. Hebert ◽  
E. Melendez ◽  
...  
Keyword(s):  
United States ◽  
Collective Intelligence ◽  
Structural Modeling ◽  
The United States ◽  
Research Process ◽  
Complexity Measure ◽  
Transdisciplinary Research ◽  
Interpretive Structural Modeling ◽  
Factors Affecting ◽  
Cyclomatic Complexity

The main objective of this research is to present a transdisciplinary research process which identifies the complexity of the issues surrounding COVID-19 using collective intelligence through transdisciplinarycollaborative effort. Interpretive Structural Modeling (ISM), a methodology for dealing with complexsystem design and development has been the key component of this research. Building collective intelligence to understand how factors affecting COVID-19 transmission and fatality and their relationships were investigated. The complexity measure of the COVID-19 was investigated by using cyclomatic complexity. The results showed that the complexity of the COVID-19 is difficult to understand and handle.

Sign in / Sign up

Export Citation Format

Share Document