Automated Meal Delivery System for Reducing Food Waste
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Solution Overview
Problem
High levels of food waste in healthcare settings lead to malnutrition-related complications and economic losses, necessitating an efficient method to quantify and adapt food preparation to individual patients' nutritional and medical requirements.
Innovation Solution
A system comprising a database, meal preparation unit, inspection unit, and consumption monitoring and analysis unit that measures and analyzes food consumption to adjust meal preparation based on individual patients' needs, using weighing scales and image capture for precise calculations and updates to the database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If traditional plate service with manual portioning is used, then meal preparation is simple and quick, but food waste is high and nutritional precision is poor
Solution Approach 1:
The system segments the meal preparation process into distinct functional modules: database for nutritional requirements, meal preparation unit for portioning, inspection unit for measurement, and consumption monitoring unit for tracking. This segmentation allows each component to perform its specific function efficiently while collectively reducing food waste through precise portion control based on individual patient needs.
Solution Approach 2:
The consumption monitoring and analysis unit provides continuous feedback by measuring actual food consumption and comparing it with prescribed nutritional requirements. This feedback loop enables dynamic adjustment of meal preparations, allowing the system to optimize portions and reduce waste by preparing only what patients actually consume based on their individual needs and eating patterns.
2Manufacturing precision
If standardized meal portions are provided, then preparation efficiency is high, but nutritional customization for individual patients is insufficient
Solution Approach 1:
The system changes key parameters including portion sizes, ingredient compositions, and meal compositions based on individual patient nutritional requirements stored in the database. The meal preparation unit dynamically adjusts these parameters to deliver precisely customized meals that meet each patient's specific caloric, protein, carbohydrate, and other nutritional needs while maintaining efficient automated preparation processes.
3Loss of substance
If portion sizes are reduced to minimize waste, then food waste decreases, but risk of malnutrition increases
Solution Approach 1:
The system applies local quality by customizing meal compositions for each individual patient based on their specific nutritional requirements, medical conditions, age, weight, and activity level. Rather than uniformly reducing portions for all patients, the system precisely tailors portion sizes and nutritional content to each patient's local needs, ensuring adequate nutrition while minimizing waste through optimized portioning.
4Measurement precision
If manual visual estimation of food waste is used, then measurement is simple, but accuracy of consumption data is low
Solution Approach 1:
The system replaces manual visual estimation with automated electronic measurement devices including scales and image capture systems. These mechanical and electronic measurement tools objectively quantify food consumption by weight and volume, providing precise data on actual patient intake without the subjectivity and inaccuracy of manual estimation, while reducing the time required for measurement through automation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Reduces food waste by optimizing meal quantities and quality, enabling early detection of malnutrition and improving patient recovery through personalized nutrition, thereby minimizing waste and associated costs.
Implementation Method 1
the inspection unit comprising an electronic weighing scale configured to weigh the prepared serving of the meal and to weigh the remains of the meal
Implementation Method 2
the inspection unit comprising at least one camera for capturing an image of the prepared serving of the meal and for capturing an image of the remains of the meal
Data Source
Figure 1
AI summary
A process optimisation system is described in the context of a patient-care environment, for optimising the process of meal preparation for patients having particular dietary requirements and dietary preferences. Using a database to manage the dietary requirements and dietary preferences of particular patients and the nutritional content of meal ingredients, meals can be tailored for particular patients. An automated system of inspection of the meal before delivery to the patient and the remains of the meal when the patient has finished allows the system to optimise the meal preparation process in such a way that the patients' dietary requirements and preferences are met while minimising food waste.