Two-stage LP diet model for Malay households

Hamzah, Pa'ezah; Shuib, Adibah; Tumin, Hasfaliza; Shamsudin, Mohd Razif; Yusof, Safiah Md

doi:10.1109/chuser.2011.6163796

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…In modern references, some authors proposed a two-stage linear programming model for low-cost healthy diets for Malay households. In Stage-1, the model was formulated to satisfy various nutrient requirements for the pre-determined age-gender groups and Stage-2 focused on optimizing diet plans for the whole household with minimum cost daily diet plans [13]. In addition, other authors proposed the GP nutrition model to minimize the deviations from nutrients, energy value and food cost in order to meet the daily nutrient needs of the reference woman and reference man of households in Bosnia and Herzegovina, developed and extended by proposing a linear programming diet model to maximize energy density for choosing food recipes (containing macro and micronutrients) as recommended by WHO in order to reduce food costs [14,15].…”

Section: Introductionmentioning

confidence: 99%

Pre-Emptive and Non-Pre-Emptive Goal Programming Problems for Optimal Menu Planning in Diet Management of Indian Diabetes Mellitus Patients

Paidipati

Komaragiri

Chesneau

2021

IJERPH

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Diet management or caloric restriction for diabetes mellitus patients is essential in order to reduce the disease’s burden. Mathematical programming problems can help in this regard; they have a central role in optimal diet management and in the nutritional balance of food recipes. The present study employed linear optimization models such as linear, pre-emptive, and non-pre-emptive goal programming problems (LPP, PGP and NPGP) to minimize the deviations of over and under achievements of specific nutrients for optimal selection of food menus with various energy (calories) levels. Sixty-two food recipes are considered, all selected because of being commonly available for the Indian population and developed dietary intake for meal planning through optimization models. The results suggest that a variety of Indian food recipes with low glycemic values can be chosen to assist the varying glucose levels (>200 mg/dL) of Indian diabetes patients.

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Section: Introductionmentioning

confidence: 99%

Pre-Emptive and Non-Pre-Emptive Goal Programming Problems for Optimal Menu Planning in Diet Management of Indian Diabetes Mellitus Patients

Paidipati

Komaragiri

Chesneau

2021

IJERPH

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Toplu Beslenme Yerlerinde Optimal Menü Planlaması: Matematiksel Model Yaklaşımı

Altın,

Şimşek

2024

Afyon Kocatepe University Journal of Sciences and Engineering

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Bu çalışma, toplu beslenme ortamlarında (örneğin, eğitim kurumları ve sağlık tesisleri) menü planlamasını iyileştirmeyi amaçlayan bir matematiksel model geliştirmeyi hedeflemektedir. Çalışma, bir yükseköğretim kurumunun öğrencileri ve personeli için öğle yemeği menülerini ele almaktadır. Geliştirilen model, maliyet odaklı, beğeni odaklı veya bu iki faktörü dengeleyen politikalara uygun menüler oluşturabilme yeteneği sunar. Ayrıca, menü çeşitliliğini artırmak ve mevsimsel kısıtlamaları dikkate almak için hafıza özelliklerini içerir. Bu çalışmanın katkıları, çok sayıda kuruma uyarlanabilen bir model sunma, menü planlama literatürüne yeni kısıtlar ekleyerek teorik bilgiyi pratik uygulamaya dönüştürme, maliyet ve lezzet odaklı politikaları bir araya getirebilen bir matematiksel model sunma, ve öznel değerlendirmenin objektif bir şekilde yapılabileceği bir araç sunma yönündedir. Bu çalışma toplu beslenme alanında karar vericilere yardımcı olacak bir menü planlama modeli sunarak daha sağlıklı ve dengeli beslenmeyi teşvik etmeyi ve toplum sağlığını iyileştirmeyi amaçlamaktadır.

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Diet Management Study on Indian Population through Optimization Models – The way towards reaching Blue Zone’s Lifestyle

Kumar Paidipati,

Hyndhavi

2024

JMASM

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Purpose: The purpose of the study is to investigate blue zone lifestyle on Indian diet management system through optimized diet plans. The study explores menu planning with plant-based, animal-, and dairy-based recipes promoting longevity and reduction of chronic diseases in India. Design/Methodology/Approach: The macro- and micronutrient data is collected for the regionally available food items in India. The study proposed linear programming problems to maximize the calories with 66 food items, satisfying the Required Nutrient Intake (RNI) for normal individuals living in rural and urban areas of India. Findings: Three optimization models, such as Linear Programming Problem (LPP), Integer Linear Programming (ILP), and Stigler’s Diet Programming (SDP), were proposed for selecting menus with varying calorie ranges (1900 kcal-3100 kcal). The percentage of nutrients contained in the diet plans was close to Blue Zone food guidelines adoptable to the Indian population. Originality/Value: The revised Stigler Diet Problem (SDP) has well-optimized objective function with the highest accommodation of recipes in optimal menus. This approach is helpful to nutritionists and dieticians for preparing affordable diet plans for distinct income groups. Also, the study provides insights to policymakers working on improving the health conditions of people by adopting the blue zone diet.

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Two-stage LP diet model for Malay households

Cited by 3 publications

References 7 publications

Pre-Emptive and Non-Pre-Emptive Goal Programming Problems for Optimal Menu Planning in Diet Management of Indian Diabetes Mellitus Patients

Pre-Emptive and Non-Pre-Emptive Goal Programming Problems for Optimal Menu Planning in Diet Management of Indian Diabetes Mellitus Patients

Toplu Beslenme Yerlerinde Optimal Menü Planlaması: Matematiksel Model Yaklaşımı

Diet Management Study on Indian Population through Optimization Models – The way towards reaching Blue Zone’s Lifestyle

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