MANUFACTURING INDUSTRY

This study investigated the effect of quality control practices on organizational performance in the manufacturing industry. Data were primarily sourced through the administration of two hundred (200) questionnaire out of which same number (200) were found usable for the empirical analysis. The descriptive (frequency, mean and percentage) and inferential statistics(regression) were adopted for the study’s analysis. It was revealed that: there is a significant relationship between quality standards and organizational performance; resources significantly affect the organizational performance; communication processes related to quality control do not significantly influence organizational performance; continuous improvement in quality control practices does not significantly influence organizational
performance; and regulatory compliance does not significantly impact organizational performance. Based on these findings, it was recommended that: manufacturing firms should prioritize the establishment and maintenance of stringent quality standards; organizations should allocate sufficient resources, including financial, human, and technological resources, to support the effective implementation of quality control practices; it is crucial to emphasize the importance of clear and effective communication within manufacturing firms; it is essential for manufacturing firms to cultivate a culture of continuous improvement; and it remains crucial for firms to adhere to relevant regulations and standards as non-compliance can result in legal and reputational risks

This paper demonstrates the use of linear programming methods as applicable in the manufacturing industry. Primary data was used for this study and were collected from the Quality Control of Nadia Bakery Company, Benin City, Nigeria, on the three types of bakery products which includes Family size bread, Sardine bread and Banana bread. Information on profit of the already produced products as well as quantity of each of the raw material held in stock per month for the production of each of the products were available in the records of the company. The analysis was carried out with an optimization software GAMS (General Algebraic Modeling System. Based on the profit of the products, the maximum profit that would accrue to the company given the optimal product mix was determined. The results showed that the company would attain optimal daily profit level of about #309,045 if she concentrates mainly on the unit production of Family sized bread 3.26, Sardine bread 1.89 units, Banana bread of 1.88 units. The research recommends that the company should produce within this optimal mix, review allocations of raw materials as they were many non-binding constraints and employ more resource on the binding constraints to improve the optimal value