A System Study on the Quezon City Branch of a Philippine Food Service Company The food service industry is a rapidly growing industry where competition lies not only in product quality, but with service quality as well. The study considers a local branch of the Philippine food service chain. The main problem was identified to be slow food service time, which caused losses in sales due to the gap between target and actual satisfaction. The causes of the problem were identified and validated to be insufficient amounts of prepared food components and inattentive food servers. The alternatives offered were a timebased scheduling policy for food components, the use of an improved pizza cutter, buzzers for the dining staff, and limited internet provision for customers. Based on a simulation performed to test the solutions offered, the branch was able to comply with company standards for food service time.

Queue Server Efficacy in the Retail Industry: A Behavioral Study Inspired by behavioral operations and supply chain management this research explores the queuing behavior in retail operations. Customers frequently experience waiting for service in a queue at retail stores. Customer waiting time has a psychological and economic costs. Traditional mathematical models of queuing systems do not consider these psychological costs. Retail stores face the challenge of optimizing queue performance with thin profit margins and high labor costs. This leads to dissatisfied customers who may switch to competitive service offerings with efficient queue management systems. This research focuses on managing the queue server, to increase the efficacy in retail counter queues. A leading Sri Lankan supermarket chain acts as the focal company for this research. A behavioral study was conducted and servers who operate the cash register are the subjects. We observe serversu0027 behavior using a carefully planned field study, where we identify issues and factors that should be addressed in order to increase server efficiency. We find several factors that affect queue serversu0027 efficacy such as speed and the quality of the machines and equipment at queue server points, unawareness of incentives for efficient service, delays due to the erroneous entry of products, the workload of the queue server and queue serveru0027s job satisfaction.