A road map for the implementation of integrated JIT-lean practices in Indian manufacturing industries using the best-worst method approach

2020 ◽  
Vol 37 (6) ◽  
pp. 275-291 ◽  
Author(s):  
Faisal Talib ◽  
Mohammad Asjad ◽  
Rajesh Attri ◽  
Arshad Noor Siddiquee ◽  
Zahid A. Khan
Keyword(s):  
Manufacturing Industries ◽  
Road Map ◽  
Lean Practices ◽  
Method Approach ◽  
Best Worst Method

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.

The current sustainability scenario of Industry 4.0 enabling technologies in Indian manufacturing industries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bhaveshkumar Nandanram Pasi ◽  
Subhash K. Mahajan ◽  
Santosh B. Rane
Keyword(s):  
Industry 4.0 ◽  
Job Loss ◽  
Manufacturing Industries ◽  
Expert Interviews ◽  
Content Type ◽  
Road Map ◽  
Research Article ◽  
Enabling Technologies ◽  
Expert Interview ◽  
The Impact

PurposeThe purposes of this research article are as follows: to explore the understanding of the Industry 4.0 (I4.0) concept among Indian manufacturing industries, to determine the motivating factors for I4.0 implementation, to identify I4.0 enabling technologies which are used by Indian manufacturing industries and assess their sustainability, to explore the impact of above identified enabling technologies on sustainability pillars, to determine how Indian manufacturing industries interpret the concept of I4.0 and to develop a road map for I4.0 implementation and sustainability.Design/methodology/approachTo perform this research work, a dual research methodology was adopted. Questionnaires were sent to 16 Indian manufacturing industries, and expert interviews were conducted with seven experts who have been practicing the I4.0 concept since the last three years in their business. Also, a sustainability measurement tool was developed to measure the sustainability of the used I4.0 enabling technologies.FindingsIn this research article, it is found that smart sensors and robot arms have high sustainability, whereas cyber physical systems (CPSs) and big data analytics have low sustainability. During an expert interview, it has been found that adoption of the I4.0 concept in Indian manufacturing industries is creating job loss fear in employees. Also, it is found that Indian workers must be trained to adopt and sustain I4.0 enabling technologies.Research limitations/implicationsThe sustainability of I4.0 enabling technologies in Indian manufacturing industries was indicated by analyzing responses received through questionnaires and expert interviews. There are other measures of sustainability which are beyond this study. Further studies are expected to fill the gap.Practical implicationsThe authors have explored reasons for low sustainability of I4.0 enabling technologies in Indian manufacturing industries, suggested a road map for its implementation and sustainability and identified the relationship between different parameters (such as job loss, job creation, workers’ qualification and business profit) and I4.0 sustainability, therefore helping Indian organizations to develop sustainable manufacturing systems based on the I4.0 concept.Originality/valueThis research article gives an idea about sustainability of I4.0 enabling technologies in Indian manufacturing industries.

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.

Road map for the implementation of green manufacturing practices in Indian manufacturing industries

2017 ◽  
Vol 24 (5) ◽  
pp. 1386-1399 ◽  
Author(s):  
Abhijeet K. Digalwar ◽  
Nidhi Mundra ◽  
Ashok R. Tagalpallewar ◽  
Vivek K. Sunnapwar
Keyword(s):  
Green Manufacturing ◽  
Structural Relationship ◽  
Manufacturing Industries ◽  
Top Management ◽  
Successful Implementation ◽  
Content Type ◽  
Effective Implementation ◽  
Road Map ◽  
Management Commitment ◽  
Top Management Commitment

Purpose Green manufacturing (GM) has received growing attention in the last few years. As today’s business environment is highly competitive, dynamic and volatile in nature, GM is seen as the winning strategy to be adopted by manufacturers. In this scenario, successful implementation of GM by manufacturers can give them an edge over their competitors. The purpose of this paper is to identify and develop the structural relationship among different factors for the successful implementation of GM. Design/methodology/approach A questionnaire-based survey and interpretive structural modeling (ISM) approach has been applied in this study. In this research, 12 factors have been identified, such as top management commitment, supplier and materials management, green product and process design, employee training and empowerment, etc. On the basis of survey results and opinions of experts from industry and academia, a structural relationship model has been developed through an ISM approach. Findings Top management commitment has the highest driving power for the implementation of GM. Effective implementation of GM will improve organization performance in terms of product cost and quality. For effective implementation of GM, management should not ignore development of people, product and processes. Practical implications The developed model will be useful to managers, decision makers and practitioners of GM in prioritizing their resources more effectively. Originality/value Critical success factor play a pivotal role for the assessment and implementation of GM practices. Identification of key success factors and their mutual relationship can help in implementation of GM practices in various organizations. It is probably one of the leading attempts to provide road map to the implementation of GM practices in Indian manufacturing industries.

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