Exploring an alignment of lean practices on the health and safety of workers in manufacturing industries

2021 ◽  
Author(s):  
Charanjit Singh ◽  
Davinder Singh ◽  
J.S. Khamba
Keyword(s):  
Health And Safety ◽  
Manufacturing Industries ◽  
Lean Practices

Lean practices in machinery manufacturing industries - a case study

2015 ◽  
Vol 20 (4) ◽  
pp. 536 ◽  
Author(s):  
P.G. Saleeshya ◽  
A. Sneha ◽  
C. Karthikeyan ◽  
C. Sreenu ◽  
A.K. Rohith
Keyword(s):  
Manufacturing Industries ◽  
Lean Practices ◽  
Machinery Manufacturing

Developing a conceptual model to implement green lean practices in Indian manufacturing industries using ISM-MICMAC approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Charanjit Singh ◽  
Davinder Singh ◽  
Jaimal Singh Khamba
Keyword(s):  
Conceptual Model ◽  
Critical Success Factors ◽  
Success Factors ◽  
Manufacturing Industries ◽  
Review Of The Literature ◽  
Content Type ◽  
Critical Success ◽  
Expert Opinions ◽  
Lean Practices ◽  
Different Levels

Purpose Lean and green strategies are good options to increase the environmental and operational performance of manufacturing industries. The purpose of this paper is to identify the critical success factors (CSFs) to implement green lean practices (GLPs) in manufacturing industries through the review of the literature and to develop a conceptual model after analysing the fundamental facilitating factors by using ISM-MICMAC approach. Design/methodology/approach The methodology consists of identifying 12 critical success factors (CSFs) for the green lean implementation by reviewing the relevant available literature. The views of eight experts are valued for inter-relationships of these factors. ISM-MICMAC approach is used for analysing the relations between factors and to develop a conceptual model for green lean implementation. Findings Twelve CSFs are identified through a review of the literature to adopt GLPs in manufacturing industries. This paper has established the relationships among 12 identified CSFs using the ISM methodology. This paper analyses the dependence power and the driving power of identified CSFs with the help of MICMAC analysis. “Top management commitment” and “Government support” are the most significant CSFs implement GLPs successfully. Research limitations/implications The ISM model presented in this study is based on expert opinions. But expert opinions may be biased as these are based on their own judgements. However, the proposed ISM based model needs statistically validations. The ISM model in the present study may be tested in real-world situations of manufacturing industries where results obtained may be different. Practical implications This study may provide a useful input for academicians and managers of industries to differentiate between independent and dependent CSFs and their mutual relationships which would help them to focus on those key CSFs that are most significant to implement GLPs. Originality/value A conceptual ISM model of identified CSFs shows the different levels of these CSFs. This model may help the manufacturer to implement the green-lean strategies. It may also support policymakers towards adopting GLPs. Arranging CSFs in a hierarchy and to categorise the CSFs into different levels with the help of ISM-MICMAC is an exclusive effort in the area of green lean engagement.

Evaluating the Impact of Lean Practices and Supply Chain Management Practices on Firm Performance–An Empirical Evidence from Manufacturing Industries

2021 ◽  
Vol 7 (1) ◽  
pp. 57-59
Author(s):  
Umair Manzoor ◽  
Sajjad Ahmad Baig ◽  
Abdul Sami ◽  
Hakeem ur Rehman ◽  
Muhammad Nazam
Keyword(s):  
Supply Chain ◽  
Firm Performance ◽  
Competitive Advantage ◽  
Management Practices ◽  
Research Work ◽  
Mediating Effect ◽  
Manufacturing Industries ◽  
Chain Management ◽  
Lean Practices ◽  
The Impact

The basic purpose of this research work is to check the impact of lean practices (LP) and supply chain management practices (SCMP) on firm performance (FP)”. The mediating effect of competitive advantage (CA) in SCMP, LP, and firm performance relationship also measured. Data was collected from the manufacturing industries of Pakistan. The sample size for the data collection is 204 from the different manufacturing sectors of Pakistan. This research used a quantitative method consisting of primary data. The simple random sampling technique is used for data collection. A theoretical model was developed to check the impact of LP and SCMP on FP. Also, check the mediating role of competitive advantage. For the data analysis purpose, Smart-PLS and SPSS software is used. The results of this paperwork show that there is a significantly positive relationship between LP, SCMP and firm performance. It is also concluded from the research work that when organizations use the SCMP and LP, they can enhance the organization's FP. This is the first study to check the effect of LP and SCMP on firm performance by the mediating effect of competitive advantage.

Analyzing barriers of Green Lean practices in manufacturing industries by DEMATEL approach

2020 ◽  
Vol 32 (1) ◽  
pp. 176-198 ◽  
Author(s):  
Charanjit Singh ◽  
Davinder Singh ◽  
J.S. Khamba
Keyword(s):  
Manufacturing Industries ◽  
Government Support ◽  
Top Management ◽  
Lean Implementation ◽  
Content Type ◽  
Cause And Effect ◽  
Lean Practices ◽  
Management Commitment ◽  
Manufacturing Organizations ◽  
Top Management Commitment

PurposeGreen Lean concepts offer methods for managing manufacturing organizations with the goal of improving organizational performance. Green Lean practices are good options to increase the environmental and operational performance of manufacturing industries. However, there are some barriers to implement Green Lean in manufacturing industries. This paper aims to identify these barriers by reviewing the literature and analyze inter-relationships amongst selected barriers.Design/methodology/approachThis paper deals with the identification of barriers to the adoption of Green Lean practices in manufacturing industries. Using the DEMATEL approach and using the insights of experts, a cause and effect relationship diagram was generated through which the effect of barriers was analyzed.FindingsTwelve barriers were categorized in terms of cause and effect, and the interrelationships of barriers were also analyzed. Threshold value is calculated as 0.134 and the values lower than a were eliminated to obtain the digraph. “Resistance to change,” “lack of top management commitment” and “lack of training to employees” are the most prominent barriers on the basis of their prominent score.Research limitations/implicationsAnalysis in the research is highly dependent on expert judgments and opinions may be biased. However, the initial matrix obtained from the experts is hindered by the ambiguity about some relationships. But this can be improved by using fuzzy and grey set theories. The barriers used for the analysis are not from a specific type of manufacturing industry.Practical implicationsThe findings will help the manufacturing organizations to simplify the most important barriers, the least significant barriers and the relationships between these barriers. This Berlin knowledge will enable administrators to increase awareness of the barriers in Green Lean implementation. “The top management commitment” and “government support” are most important for the removal of barriers to Green Lean strategies.Originality/valueVery few scholars have used the DEMATEL approach to examine the sequence of the barriers to Green Lean implementation. The present study attempts to incorporate the DEMATEL model to assess the sequence of barriers to the implementation of Green Lean. This study investigates the degree of influence of barriers on each other and categorizes the barriers into cause and effect groups. This study is also intended to pave the way for future research in the path of the elimination of barriers to Green Lean strategies.

Improving productivity through Lean practices in central India-based manufacturing industries

2019 ◽  
Vol 10 (2) ◽  
pp. 601-621 ◽  
Author(s):  
Yash Dave ◽  
Nagendra Sohani
Keyword(s):  
Lean Manufacturing ◽  
Statistical Tests ◽  
Central India ◽  
Research Paper ◽  
Manufacturing Industries ◽  
Content Type ◽  
Lean Practices ◽  
World Class ◽  
The Relationship ◽  
Model Subject

Purpose The core principle of implementing Lean manufacturing is reducing waste through optimum utilization of all resources. In this research paper, the authors have examined the effect of implementing Lean practices on the overall productivity in central India-based manufacturing industries. The purpose of this research paper is to investigate the relationship between the implementation of Lean practices and overall productivity particularly in central India-based manufacturing industries. Design/methodology/approach A model in the integrated form is developed to illustrate how Lean manufacturing practices improve the overall productivity. Based on this model, a survey is performed to validate all hypotheses related to the conceptual model subject to various statistical tests. Findings It is established by the findings of this research that industries based in central India should implement the whole concept of Lean manufacturing practices to improve overall productivity. Industries should adopt the concept of Lean manufacturing in totality, not through the island approach. Originality/value The value of this research paper is to showcase the possibility for central India-based companies to become world-class industries. For this, an approach in the form of an integrated model has been developed.

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