Enhancing Culinary Operations Through Fuzzy Logic: A Case Study in the Catering Industry

This study aimed to analyze the business impact of the catering sector using the fuzzy logic method. The research was conducted at a catering company in Istanbul, utilizing document review and participant observation methods to evaluate the business impact. The nominal prioritization method was used to identify critical business processes, and a model along with a mathematical formula was developed for calculating the business impact. The Fuzzy Logic Designer Toolbox in MATLAB was utilized for this calculation. The study identified eight critical business processes: (1) material supply, (2) material storage, (3) pre-preparation process, (4) cooking process, (5) portioning, (6) shipping, (7) hygiene and food safety, and (8) customer relationship management. The business impact was assessed using classical and fuzzy logic methods, and the results were compared. The fuzzy logic method provided a more flexible and comprehensive assessment, managing uncertainty and variability more effectively than classical logic. Overall, it proved to be more effective in optimizing business processes, offering a more dynamic and holistic approach to improving and prioritizing these processes.

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Publication Details

Journal
Turkish Journal of Agriculture - Food Science and Technology
Published
2024-12-12
DOI
https://doi.org/10.24925/turjaf.v12is2.2306-2316.7042
Primary Topic
Agricultural and Rural Development Research
Type
article
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article

Enhancing Culinary Operations Through Fuzzy Logic: A Case Study in the Catering Industry

Murat Doğan
Turkish Journal of Agriculture - Food Science and Technology
Agricultural and Rural Development Research
article

Enhancing Culinary Operations Through Fuzzy Logic: A Case Study in the Catering Industry

Murat Doğan
article en

Abstract

This study aimed to analyze the business impact of the catering sector using the fuzzy logic method. The research was conducted at a catering company in Istanbul, utilizing document review and participant observation methods to evaluate the business impact. The nominal prioritization method was used to identify critical business processes, and a model along with a mathematical formula was developed for calculating the business impact. The Fuzzy Logic Designer Toolbox in MATLAB was utilized for this calculation. The study identified eight critical business processes: (1) material supply, (2) material storage, (3) pre-preparation process, (4) cooking process, (5) portioning, (6) shipping, (7) hygiene and food safety, and (8) customer relationship management. The business impact was assessed using classical and fuzzy logic methods, and the results were compared. The fuzzy logic method provided a more flexible and comprehensive assessment, managing uncertainty and variability more effectively than classical logic. Overall, it proved to be more effective in optimizing business processes, offering a more dynamic and holistic approach to improving and prioritizing these processes.

Turkish Journal of Agriculture - Food Science and TechnologyVol. 12(s2)
İstanbul Gelişim Üniversitesi (TR)
Openalex Percentile: Top 66%
Agricultural and Rural Development Research
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Enhancing Culinary Operations Through Fuzzy Logic: A Case Study in the Catering Industry — Murat Doğan · Turkish Journal of Agriculture - Food Science and Technology (2024) | TGRS Research Map | TGRS