This data collection presents the new Household Simulation Model (HHSM) specifically developed for grapes, using Arena software version 16.2. The primary aim of the HHSM is to offer insights into the impact of various market and consumer behavior interventions on the amount of food and packaging waste generated in households. By simulating diverse scenarios, the model enables researchers and stakeholders to understand the potential effects of different interventions on household decision-making related to grapes consumption and waste generation. The data collection contains three components: the Arena simulation model (HHSM) (.doe file), an accompanying input/output data file developed in Microsoft Excel (.xlsm file), which allows users to modify input parameters and retrieve the outputs generated by the HHSM and an detailed user manual of the model (.pdf file). This data collection is a valuable resource for researchers, policy-makers, and industry professionals interested in understanding the dynamics of household consumption and waste generation related to grapes, offering a powerful tool for investigating potential interventions, promoting sustainable consumption patterns, and informing future policies in the context of food waste reduction and resource optimisation.THE PROBLEM Plastic packaging waste is a major issue that has recently entered public consciousness, with the British government committing to a 25-year plan that would phase out disposable packaging by 2042. Around 41% of plastic packaging is used for food, with the UK generating 1 million tonnes per year of packaging waste. Food packaging has had a 1844% increase in recycling since 2007, yet still only one third of food packaging is currently recycled [3]. Currently many consumers are boycotting plastic packaging. However, this is leading to a rise in food waste (and foodborne illness risk) due to decreased shelf life. Up to a third of the resources used to produce food could be saved by eliminating food waste [1]. In the UK, approximately 10 million tonnes of food are wasted every year, with the average family (i.e. a household containing children) spending £700 a year on food that is wasted. 31% of avoidable household food waste (1.3 million tonnes), is caused by a mismatch of packaging, pack, and portion size, and household food habits [2]. Plastic pollution and food waste can be reduced through product re-design and other household interventions. However, there is little evidence to determine the best solutions to reduce plastic pollution and food waste. The food industry and consumers have a variety of possible solutions, but no way of knowing the impacts and unintended consequences (without costly, time consuming trials and measurement). This is a major barrier to empowering the food system to enable the rapid reduction of plastic waste. THE VISION This project reduces plastic pollution (and food waste) by providing a decision support tool to trigger action in the food industry and by consumers. Evidence concerning plastic and food waste reduction (and trade-offs with cost, and environmental impacts) will be generated by updating the Household Simulation Model (HHSM). The HHSM was piloted by the University of Sheffield and WRAP (the Waste & Resources Action Programme) to model the impacts of food product innovation quickly, to enable manufacturers to select the best innovations and interventions, and to prioritise their development and deployment. This project will incorporate into the current HHSM, data on 1) plastic packaging options and composition (from Valpak/WRAP), 2) household behavioural insights around packaging (single and reuse options) and food (provided by UoS/WRAP), with specific fresh produce data (from Greenwich) 3) plastic in the supply chain and environmental impacts (via SCEnATi- a big data analytics tool of the food supply chain processes (provided by Sheffield). The updated HHSM will enable the quantification of plastic and food waste reduction, and the environmental and monetary trade-offs of various solutions. This will be done by developing an optimization engine and integrating it with the updated HHSM which will further the simulation optimization methodology with the findings from applying developed meta-heuristic algorithms to this problem. Possible solutions include offering consumers different pack sizes, or changing packaging type/shape/reusability/durability. The most successful solutions will be translated into consumer and industry guidance focusing on the top 30 foods linked to the highest waste and tradeoff potential. This will enable rapid product and food system redesign. This guidance will be open access, and deployed through WRAP and global industry networks, and open access web tools. WRAP is coordinating the voluntary agreements UK Plastics Pact and the Courtauld Commitment 2025 (focused on food waste and carbon reduction). This allows rapid scaling of the HHSM outputs throughout the UK. References: [1] Institution of Mechanical Engineers, "Global food - Waste not, want not" London, 2013 [2] Quested, T. E., et al. "Spaghetti soup: The complex world of food waste behaviours." RCR 79 (2013): 43-51. [3] Recoup 2018, UK Household Plastics Collection

The approach to the Grape Household Simulation Model (HHSM) was centred around acquiring relevant data from a broad spectrum of primary and secondary sources, thereby ensuring the authenticity and reliability of the data under examination. This integrated and multi-disciplinary data collection methodology fortified the validity of the HHSM, laying a firm foundation for investigating the impact of various market and consumer behaviour interventions on household food and packaging waste generation. The adopted data collection techniques included: 1. Literature Review: An intensive literature review was undertaken to uncover the central factors that shape household consumption patterns and waste production related to grapes. This comprehensive review incorporated scholarly articles, industry-specific reports, and WRAP publications. 2. Expert Consultations: The model was refined and its underlying assumptions were verified through consultations with industry practitioners, academicians, and experts specialising in consumer behaviour, food waste reduction and food packaging. This collaborative process generated valuable insights into potential market and consumer behaviour interventions that could be examined in the context of the HHSM. 3. Empirical Investigation on Visual Score: A hands-on analysis was conducted on the visual grading of grapes based on various storage parameters, such as fridge temperature, ambient temperature, and duration of grape packs remaining opened or unopened. 4. Qualitative Household Research: Primary data related to household consumption patterns, waste production, and packaging use for grapes were collected through structured online interviews. These were guided by the practice theory and household waste and consumption approaches. In addition, participating households were instructed to maintain diaries featuring photographs of their routines and practices, including purchasing behaviour, preferred storage conditions, and consumption practices. 5. Data Processing and Analysis: The data collected was systematically processed and analysed to derive input parameters for the HHSM. These insights were incorporated into the model to ensure it accurately reflected and was applicable to real-world scenarios.