Implementation and Analysis of Pizza Production Process Using Fuzzy Logic Based on Multi-Factors Criteria


  • Pankaj Kumar Research Scholar, Department of Computer Science and Engineering, Om Sterling Global University, Hisar, Haryana-125001
  • Rajinder Singh Sodhi Associate Professor, Department of Computer Science and Engineering, Om Sterling Global University, Hisar, Haryana-125001


Artificial intelligence, Fuzzy logic and set, Fuzzy inference system, food industry


In contemporary food companies, whether it's a quick food supplier or a fixed restaurant, the waiting time significantly influences customer satisfaction. Extensive empirical evidence supports the notion that businesses in the food industries must compete primarily based on the speed of their food service. Within the food industry community, it is widely recognized that customers highly value promptness and accord it substantial importance in selecting their preferred food service provider. In this study I am introducing a scheduling system for the food industry, employing a fuzzy-based mechanism system. It specifically focuses on determining the necessary number of devices used in industry like ovens and workers for various tasks within the food manufacturing process, with a special emphasis on pizza production. The research considers factors such as reducing finances, enhancing the satisfaction of the customers, and elevating service quality. Implementation of the system was carried out using Matlab software, involving the development of code to achieve the desired outcomes.


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How to Cite

Kumar, P. ., & Sodhi, R. S. . (2023). Implementation and Analysis of Pizza Production Process Using Fuzzy Logic Based on Multi-Factors Criteria. International Journal of Intelligent Systems and Applications in Engineering, 12(2), 112–118. Retrieved from



Research Article