Abstract:
Despite the importance of the food manufacturing industry in Kenya, it has been
experiencing a lot of turbulence in the recent past including a drop in the GDP, an
increasing imbalance of trade, and the exiting of large multinationals. The main focus of
this study was to assess the effect of operations management on the performance of food
and beverage manufacturing firms in Kenya. The research design that was appropriate for
this study was a descriptive cross-sectional design. 246 food and beverage manufacturing
firms formed the source from which the respondents will be sourced. The population frame
was thus the procurement managers of the 246 food and beverages firms. These firms are
registered under the Kenya Association of Manufacturers. The study used a Stratified
random sampling technique. The study further used simple random sampling within the
different strata of 152 food and beverage manufacturing firms. The heads of departments
concerned with procurement formed the unit of observation. The questionnaire was used to
collect primary data. Quantitative and qualitative data were generated from the closed
ended and open-ended questions, respectively. Descriptive statistics such as frequency
distribution, mean (measure of dispersion), standard deviation, and percentages were used.
Inferential data analysis was conducted by use of univariate regression analysis, Pearson
correlation coefficient, and multiple regression analysis. The inferential statistic is used to
make judgments about the probability that an observation is dependable or one that
happened by chance in the study. The study results were presented through the use of tables
and figures. The study found that operations management is statistically significant in
explaining performance of food manufacturing firms in Kenya. The influence was found to
be positive, indicating that an increase in operations management would lead to an increase
in performance of food manufacturing firms. Therefore, the study concluded that operations
management has a positive and significant relationship with performance of food
manufacturing firms in Kenya. The study therefore recommends that manufacturing firms
should reduce excess inventory by implementing just-in-time (JIT) inventory systems. This
minimizes carrying costs, reduces the risk of waste due to product expiration, and optimizes
working capital. In addition, the firms should develop standardized work procedures and
ensure that all employees follow these procedures rigorously. This will lead to consistent
product quality and efficient production processes