Abstract-

This study sought to determine how service delivery and drivers of customer satisfaction influence public relations of food establishments in Region XI. Using the quantitative non-experimental utilizing descriptive-correlational design, study was conducted in the different areas of Region XI. Equal distribution method was utilized in which the researcher selected 50 establishments from the different parts of Region XI that equally represented each area of the region. Quota samples of approximately 10 questionnaires were collected for each dining establishment. This study used SERVQUAL to determine the level of service delivery along with other adopted questionnaires for the other variables. The study found out that the overall level of service delivery, customer satisfaction, and public relations of dining establishments in Region XI are all moderate. Moreover, it revealed that there is a significant relationship between service delivery and customer satisfaction and public relations in dining establishments of Region XI. Finally, the indicators tangibles, empathy and assurance of service delivery and the indicators end result, timeliness, information, staff competence; staff attitude and look and feel of customer satisfaction all predict public relations in the dining establishments in Region XI.

The researchers build an inventory model for retail stores by validating their economicorder quantity through data driven simulation. This paper created an inventoryoptimization model for a personal care retailing business, to avoid stock out and minimize their holding cost and ordering cost. Simulating a thousand different scenarios, the research come up with an optimal inventory model for the two most sellable products in the store. The t-test reveals that product A has a significantly higher demand than product B. The simulation model validates the optimal order quantity of 59 units, with a reorder point of 25 units for product A. However, the simulation model recommends an optimal order quantity of 37 units and a reorder point of 10 units for product B. The Kolmogorov-Smirnov Goodness of Fit Test reveals the normal distribution of the 30 days inventory for Product A but not for Product B. Confirming that stocks out will unlikely happen for product A but will probably occur for product B. The model confirms EOQ findings of product with relatively high demand but low price but a departure for products with low demand but the high price.Keywords: Operations management, retail inventory system, t-test, Monte Carlo Simulation,Kolmogorov-Smirnov Goodness of Fit Test, Davao City, Philippines, Southeast Asia

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