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FACTORS INFLUENCING ON SELF-CHECKING METHOD IN QUALITY CONTROL PROCESS: A
STUDY OF APPAREL INDUSTRY IN SRI LANKA
2 LITERATURE REVIEW strategic planning to move towards the path
of quality (Pekar, 1995). According to the
Quality has become main customer
requirement. So, it plays a vital role in every literature five main factors were identified
industry. Apparel industry has special for this study as the factors that impact on
procedure of quality inspection because the self-checking method.
apparel is considered as items which are 3 METHODOLOGY
unable to be repaired by any means (Faizur, Factors related to the quality tools were
Mohan, Rahaman, Baralo, Manna, Nbi & identified from the literature and a
Chawdury, 2010). When quality issues questionnaire was designed to be distributed
increase and more cost incurred with the among the sample which was selected by
quality, self-checking was introduced. So following the random sampling technique.
studies recognize the importance of There were around 500 machine operators in
abolishing full-time inspectors and assigning the plant, Therefore 50% of the population
the work of product inspection to be done was selected as the sample. The research
part-time by the workers who make the was conducted using structured equation
product (Juran, 1994).
modeling. Therefore sample size was
Self-inspection is defined as a state in decided according to the literature.
which decisions on the product are Descriptive statistics were used to get a
delegated to the work force. The delegated general idea about the sample and
decisions consist mainly whether product confirmatory factor analysis used to test the
quality conform to the quality goals (Juran factor structure and hypothesis testing was
& Godprey, 1999). Researchers and authors used to identify the impact of each factor.
have identified requirements for successful
implementation of quality tools. In 4 DATA COLLECTION AND
manufacturing industries it is necessary to ANALYSIS
maintain better culture, people and Data collection was done using a
technologies to climb the ladder (pekar, structured questionnaire. Questionnaires
1995). A study has proven that in Portugal, were distributed among 350 machine
employee resist to change due to low level operators in the firms and the 250 responses
of employee knowledge, low level of were collected.
employee training, difficulty in monitoring
process, lack of communication between According to the descriptive analysis
employees, low level of employee 42% of machine operators represented by
involvement as the barriers to quality the young labor force of age group between
improvement tools (Lopes, Lusebio, Sousa, 15-24 years. 29% represented the age group
& Esteven, 2011). Furthermore some have 35-44 years, 17% by age group of 25-34
identified important quality improvement years and the lowest representation from age
initiatives as, management commitment, group 45-54 was 12%. In the sewing floor
education and training, bench marking 96% machine operators were female while
under the feedback measurement, total 4% was male. According to the distribution
employee involvement that describe the of education qualifications 48% was
need to self-directed teams, rewarding educated up to ordinary level, 21% has
system, quality improvement teams, passed ordinary level, 16% were educated
technical factors, statistical methods and up to advanced level, 9% have passed
lean production (Islam, Khan, & Khan, advanced level and 6% were educated up to
2012). Total Quality management of Pekar grade eight. Furthermore the married
describes the need of Management population represented 60% while
commitment, Recognition and Rewarding , unmarried population was 40%.Further
Measurement or the monitoring and analysis was done using the structural
Evaluation, Training, Empowerment and equational modeling where dependent
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