Geometric Design of Bread in Iran: A Mathematical Approach to Waste Reduction and Supply Chain Efficiency

Bread plays a vital role in the Iranian diet, yet the country faces significant challenges in flour consumption and bread waste. While cultural and nutritional aspects of bread have been extensively studied, the impact of its geometric design has received limited scholarly attention. This paper employs a mathematical approach to examine how the geometry of bread influences production efficiency, packaging, storage, and shelf life in Iran. By analyzing common Iranian bread types—including Sangak, Barbari, Lavash, and Taftoon—and comparing them with international examples such as baguettes in France, shokupan in Japan, tortillas in Mexico, and naan in India, the study demonstrates that geometric form is directly linked to flour efficiency and waste reduction. Using mathematical concepts—particularly surface-to-volume ratio analysis and optimization principles—the research highlights the potential of adopting standardized geometric designs to minimize staling, improve storage density, and reduce distribution losses. Findings suggest that moderately thick, rectangular flatbreads with perforations can balance cultural traditions with modern efficiency by slowing moisture loss while improving stackability and packaging fit. Beyond technical implications, the study offers practical recommendations for policymakers and bakers, indicating how geometry-based innovation can complement existing quality and behavior interventions to address Iran’s flour-waste challenge. Overall, the paper contributes to food engineering and supply-chain scholarship and underscores the importance of geometric design as a tractable, data-driven lever for waste reduction in the Iranian bread system.

Authors

Institutions

Publication Details

Journal
Mathematical Modelling and Applications
Published
2025-10-09
DOI
https://doi.org/10.11648/j.mma.20251003.11
Primary Topic
Operations Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Geometric Design of Bread in Iran: A Mathematical Approach to Waste Reduction and Supply Chain Efficiency

Morteza Ali Ghorbani
Mathematical Modelling and Applications
Operations Management Techniques
article

Geometric Design of Bread in Iran: A Mathematical Approach to Waste Reduction and Supply Chain Efficiency

Morteza Ali Ghorbani
article en

Abstract

Bread plays a vital role in the Iranian diet, yet the country faces significant challenges in flour consumption and bread waste. While cultural and nutritional aspects of bread have been extensively studied, the impact of its geometric design has received limited scholarly attention. This paper employs a mathematical approach to examine how the geometry of bread influences production efficiency, packaging, storage, and shelf life in Iran. By analyzing common Iranian bread types—including Sangak, Barbari, Lavash, and Taftoon—and comparing them with international examples such as baguettes in France, shokupan in Japan, tortillas in Mexico, and naan in India, the study demonstrates that geometric form is directly linked to flour efficiency and waste reduction. Using mathematical concepts—particularly surface-to-volume ratio analysis and optimization principles—the research highlights the potential of adopting standardized geometric designs to minimize staling, improve storage density, and reduce distribution losses. Findings suggest that moderately thick, rectangular flatbreads with perforations can balance cultural traditions with modern efficiency by slowing moisture loss while improving stackability and packaging fit. Beyond technical implications, the study offers practical recommendations for policymakers and bakers, indicating how geometry-based innovation can complement existing quality and behavior interventions to address Iran’s flour-waste challenge. Overall, the paper contributes to food engineering and supply-chain scholarship and underscores the importance of geometric design as a tractable, data-driven lever for waste reduction in the Iranian bread system.

Mathematical Modelling and ApplicationsVol. 10(3)
Islamic Azad University Central Tehran Branch (IR)
Openalex Percentile: Top 66%
Operations Management Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.