Application of goal programming in project selection decision — A case study from the Indian coal mining industry

1995 ◽  
Vol 82 (1) ◽  
pp. 18-25 ◽  
Author(s):  
Kampan Mukherjee ◽  
Achintya Bera
Keyword(s):  
Coal Mining ◽  
Goal Programming ◽  
Mining Industry ◽  
Project Selection ◽  
Coal Mining Industry ◽  
Indian Coal ◽  
Selection Decision

Quantifying SWOT analysis for the Indian coal mining industry using Fuzzy DEMATEL

2017 ◽  
Vol 24 (4) ◽  
pp. 882-902 ◽  
Author(s):  
Sorokhaibam Khaba ◽  
Chandan Bhar
Keyword(s):  
Coal Mining ◽  
Swot Analysis ◽  
Mining Industry ◽  
Coal Industry ◽  
Fuzzy Decision Making ◽  
Quality Improvement Initiative ◽  
Mining Sector ◽  
Content Type ◽  
Coal Mining Industry ◽  
Indian Coal

Purpose The purpose of this paper is to quantify the strengths, weaknesses, opportunities and threats (SWOT) analysis for the Indian coal mining industry using Fuzzy Decision-Making Trial and Evaluation Laboratory. Design/methodology/approach After obtaining 17 factors from literature and expert opinion, an interview questionnaire was designed and tested to assure the content validity of questionnaire. A group of 15 qualified experts consisting of 4 professors from academic institutions and 11 management professionals from mining sector with substantial experience were consulted. Findings The result from causal relationship implied that the decision makers should focus on improving the ability of exploitation and production using quality improvement initiative such as lean production, developing research and development units for clean coal technology and working with strong exporters. This study also finds that foreign investment in mining sector is also a main factor that highly influences other factors. Research limitations/implications The study is based on personal judgments and the shortage of respondents limits the study to ensure the validity. Practical implications The stated strategies both for the government and industry through SWOT analysis could facilitate improved productivity of the Indian coal industry if adopted. Originality/value This paper demonstrates a process for quantitative SWOT analysis for the Indian coal mining industry that can be performed even when there is dependence among factors.

Analysing the barriers of lean in Indian coal mining industry using integrated ISM-MICMAC and SEM

2018 ◽  
Vol 25 (7) ◽  
pp. 2145-2168 ◽  
Author(s):  
Sorokhaibam Khaba ◽  
Chandan Bhar
Keyword(s):  
Coal Mining ◽  
Structural Equation ◽  
Academic Research ◽  
Mining Industry ◽  
Equation Modeling ◽  
Interpretive Structural Modeling ◽  
Lean Implementation ◽  
Content Type ◽  
Coal Mining Industry ◽  
Indian Coal

Purpose The purpose of this paper is to develop and validate a model for key barriers to lean implementation in the Indian coal mining industry. Design/methodology/approach Interpretive structural modeling (ISM) has been used to develop a proper hierarchy and contextual relationship of key barriers to lean implementation in the Indian coal mining industry through literature review and expert opinion which is followed by the classification of barriers using Matrice d’ Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) and questionnaire-based survey to validate the ISM model using structural equation modeling (SEM). Findings In this study, 14 key barriers to lean implementation in the Indian coal mining industry have been identified, modeled and analyzed. The lack of top management commitment, financial constraints and lack of inter-departments co-ordination are found to be the most important barriers to lean implementation in the mining industry. The ISM-based model is validated using the SEM. Research limitations/implications The analysis of data represents that relatively more participants were from the mines located in eastern India and the maximum participants were managers and executives holding different levels (lower, middle or upper), although key participants in different mines were encouraged to distribute the survey to other employees also. Practical implications This model on lean barriers would help the decision makers, researchers and practitioners to anticipate potential barriers to lean implementation and support the existing academic research on lean. Accordingly, the focus on the lean barriers can be prioritized for the better utilization of the available resources for eliminating or minimizing the barriers. Originality/value This paper is an original contribution of analysis of the lean barriers in Indian mining industry using the integrated ISM–MICMAC and SEM approach.

A study on key lean enablers of the coal mining sector using ISM, MICMAC and SEM

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sorokhaibam Khaba ◽  
Chandan Bhar ◽  
Ankita Ray
Keyword(s):  
Conceptual Model ◽  
Coal Mining ◽  
Questionnaire Survey ◽  
Coal Mines ◽  
Mining Industry ◽  
Mining Sector ◽  
Lean Implementation ◽  
Content Type ◽  
Coal Mining Industry ◽  
Indian Coal

PurposeThe purpose of this research is to identify and study the contextual relationships of the significant lean enablers in the Indian coal mining industry using the application of interpretive structural modeling (ISM), matrice d' impacts croisés-multiplication appliquée á un classement (MICMAC) and structural equation modeling (SEM).Design/methodology/approachIn this study, a conceptual model based on ISM was developed forming a hierarchy and contextual relationships of significant enablers for lean implementation in the Indian coal mining industry using a literature review and eliciting expert opinion, which is followed by MICMAC for grouping of enablers and questionnaire survey to validate the ISM based conceptual model using SEM.FindingsThe study modeled and analyzed ten significant enablers of lean implementation in the Indian coal mining industry. The findings suggest that the most important lean enablers in the Indian coal mining industry are employee empowerment, employee motivation and commitment, consistent financial performance measurement and management support.Research limitations/implicationsJudgmental sampling was used for selecting the respondents for conducting the questionnaire survey in this research work as there are a few numbers of coal mines implementing lean principles in India. Although the study was not restricted to a particular part of India with the sample representing the heterogeneous population, the study represents more data from the coal mines in eastern India.Practical implicationsThe model on lean enablers would help the researchers, decision-makers and practitioners to anticipate potential lean enablers in the Indian coal mines and rank the enablers for improved and efficient usage of the available resources creating value to customers with lean and to sustenance academic research on lean.Originality/valueStudies on lean enablers in the mining sector are scarce in the literature, and this study is a novel contribution of exploring lean enablers in the Indian coal mining industry using an integrated approach of ISM–MICMAC and SEM.

Sign in / Sign up

Export Citation Format

Share Document