Conclusions Restaurant food waste is substantial and largely avoidable, its identification demon- strating that it is present at every stage of the culinary technological process, even in intermediate operations. Functional modeling shows possibilities to minimize physical waste through the possibility of recycling it, either to be recovered as a raw material or to make a by-product, which can generate added value in the logistics chain of the restaurant.
By applying the analyzed multipurpose model, the waste stream that generates the highest costs is minimized and restaurants are more likely to improve their competitive position in terms of sustainability. Practically, waste losses are reduced, while complying with legal provisions on environmental protection. The model can also be used to facilitate internal communication within the restaurant, with the external one, that is, with other organizations, in order to reduce the amount of waste.
On average, a restaurant produces 25, to 75, pounds of waste per year, from which only The reduction of waste from the restaurant industry produces, besides the increase of the profit of the respective unit, also the increase of the sustainability indices for the respective business, major positive effects on the environment.
Knowing the huge amount of natural resources consumed for the production of food raw materials especially in terms of meat, dairy products, etc. At the same time, the impact on the environment is reduced by eliminating an important matrix of waste and by-products generated in the restaurant industry.
Author Contributions: Conceptualization, R. All authors have read and agreed to the published version of the manuscript. Funding: This research received no external funding. Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: The data presented in the study are available on request from the corresponding author.
Acknowledgments: Authors wish to acknowledge the support of the Transilvania University of Brasov, Romania. Conflicts of Interest: The authors declare no conflict of interest. References 1. Bontoux, L. Manosuthi, N. Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model.
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Figure 6 shows cancer incidence rates by site for each sex. Cancer Incidence The incidence of cancers by site for men and women , white and black , for five different time periods appear in these two charts. The data for and came from the Third National Cancer Survey , covering a Protect yourself from ultraviolet radiation in sunlight, which increases the risk of melanomas and other skin cancers. But don't worry about electromagnetic radiation from high-voltage power lines or radiofrequency radiation from microwaves and cell phones.
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