ABSTRACT
BACKGROUND: Education is crucial for empowering women in the labour market. However, the choice of occupation may not always necessarily be determined by their level of education. OBJECTIVE: The present study seeks to answer two important questions: (1) Does education help in determining occupational choices of women working in the informal sector? (2) How do factors like number of dependents in the family, woman staying with family, migration status of a woman and the use of networks in the job-search process, affect the occupational choices of women working in the informal sector? METHOD: The study utilised the data collected from 476 women, working in the urban informal sector of three northern States of India. We have estimated multinomial Probit model to analyse the data. RESULTS: This paper argues that education level cannot be the sole premise for a woman to have a better occupational choice within the informal sector. Other factors play a relatively significant role in determining the choice of occupation by a woman. CONCLUSION: Working women in the urban informal sector have less autonomy in the choice of their occupation and the education levels alone cannot help in providing access to more hygienic, career enriching and well-paying options to them.
ABSTRACT
The six-sigma methodology has been adopted by the industry as a business management tool to improve operational capabilities and reduce defects in any process. This study aims to present a case study on the implementation of the Six-Sigma DMAIC methodology with the purpose to reduce the rejection rate of rubber weather strips manufactured by XYZ Ltd. (name changed) situated in Gurugram, India. Weather strips are used in all four doors of cars for noise reduction, waterproofing, dust proofing, soundproofing, windproofing, and for improving air conditioning cooling, and heating effects. The overall rejection rate of both front and rear door rubber weather strips was 5.5% which was causing a huge loss to the company. The average rejection rate of rubber weather strips per day reduced from 5.5% to 3.08%. After implementing the Six-Sigma project findings the rejection was reduced from 153 pieces to 68 pieces helped the industry in saving the cost of a compound by Rs. 15,249 per month. The sigma level improved from 3.9 to 4.45 within three months with the implementation of one Six-Sigma project solution. The company was highly concerned about reducing the high rejection rate of rubber weather strips and decided to deploy Six Sigma DMAIC as a quality improvement tool. The industry was keen to reduce this high rejection rate to 2% and this target was materialized with the application of the Six-Sigma DMAIC methodology. The novelty of this study is to analyze performance improvement considering the Six Sigma DMAIC methodology to reduce the rejection rate of rubber weather strip manufacturing companies.
