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For the last two weeks, we worked on a decision support system (DSS) to help both suppliers and consumers make purchasing decisions and reduce food waste considering shelf life of products and the demand (for example, the number of people in the household). The consumer DSS is based on national recommended daily amounts for children, adults, and elderly. It also considers shelf lives of different groups of food, and it suggests how many of each category to buy for the number of people dining over a specified period of time. For example, one could do grocery shopping for a family of five for the next four days. This DSS indicates how much food may be wasted in each food category (vegetables, fruits, meat, etc.) if consumers fail to finish the food within the time they indicated. For suppliers, our DSS provides suggestions on the required amount of food for specified people and how long these foods can stay whilst incorporating quantity discounts and implications for expiry.
To validate the DSS we conducted interviews with stakeholders in Doha. An interview protocol was developed which focuses on purchasing, consumption and waste habits, and core elements from our DSS. According to the problems we find out during interviews and stakeholders’ suggestions, we will improve our DSS such as adding different cases for users to choose.
We also keep working on our risk assessment models. By now, we have collected all data we need such as food loss data for different groups of world and countries. At a macro level, we also have data of GDP growth, food production value, and food price indices. Later we will work on building a regression model to analyse these food waste factors.
We are also getting ready for the closure of our project in about a month’s time. We will have two more blog posts to share with you our undertakings in the SAFE-Q Project and key learnings. There will also be a public summary submitted to QNRF to be widely distributed after the closure of the project.
Qiongyu Lu and Emel Aktas