Manuscript Title:

QUALITY CONTROL IN FOOD INDUSTRY THROUGH STATISTICAL TECHNIQUES

Author:

Dr. S. RAMESH, Dr. SYED YASEEN, Dr. S. RAJARAJESWARI, Dr. T. S. SUBBULAKSHMI, Dr. S. REVATHY

DOI Number:

DOI:10.17605/OSF.IO/R8THW

Published : 2022-06-23

About the author(s)

1. Dr. S. RAMESH - Associate Professor, School of Commerce Studies, JAIN (Deemed-to-be University), Bengaluru.
2. Dr. SYED YASEEN - Associate Professors, School of Commerce Studies, JAIN (Deemed-to-be University), Bengaluru.
3. Dr. S. RAJARAJESWARI - Assistant Professor and Head, Department of Business Administration, M.V.Muthiah Govt. Arts College for Women, Dindigul (Tamil Nadu).
4. Dr. T. S. SUBBULAKSHMI - Assistant Professor, Department of Commerce (SF), Sri Paramakalyani College, Alwarkurichi.
5. Dr. S. REVATHY - Associate Professor, Department of Corporate Secretary ship, PSG College of Arts and Science, Coimbatore.

Full Text : PDF

Abstract

Restaurants are on the rise and is growing rapidly in Indian market every day. The current situation in the country is all the adult members in a family have to earn to live a happy life, and therefore the time available for them to spend in their homes is getting reduced day by day. This makes them so busy in their work outside and they prefer to dine outside. Because of this, the food industry is growing at a rapid rate and at the same time, they have to maintain the quality and taste of their food items in order to retain their customers. In this connection, the researcher thought of applying statistical tools in maintaining and controlling quality at the restaurants during food production process itself, so that necessary control action can be taken at once, if any deviation is found. The researchers had selected one of busy restaurants in South Bengaluru area and studied the possibility of applying statistical quality control tools like X-bar chart and R chart for quality control and collected data on fixed intervals from the customers on quality of food and taste of food. The study revealed that the control charts were useful in detecting deviations in the perception of customers on quality and taste of food and the findings can be used to modify the food production process from time to time, if required.


Keywords

Restaurant, production process, Quality control, X-bar chart, R-chart.