Benvenuti Luca, De Santis Alberto
Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Rome, Italy.
Front Nutr. 2020 Nov 6;7:562833. doi: 10.3389/fnut.2020.562833. eCollection 2020.
Food consumption is one of the most important drivers of the relation between human well-being and Earth's ecosystems. The current production level is difficult to sustain without compromising environmental integrity or public health. This calls for a decisive change in food consumption patterns in order to improve nutrition quality while respecting biodiversity and ecosystems. This change will produce some effect only if it is also culturally acceptable, accessible, economically fair and affordable. The design of food plans is traditionally carried out using mathematical optimization models, such as linear programming. This method has proved to be successful in providing nutritionally adequate diets while minimizing their economic and environmental impact. Nevertheless, cultural habits as well as attractiveness and variety of meals is very difficult to deal with, and no fully satisfactory way to include these issues in linear programming has been found. The aim of this paper is to move from traditional linear programming to a new programming methodology in order to cope also with acceptability in the design of meal plans. Binary integer linear programming is the new modeling paradigm. In the proposed model, meal plans consist of providing the sequence and composition of daily meals over a given period of time and each meal can be composed using dishes from a given set. Therefore, instead of defining just a level of consumption of food groups or food items, the proposed model provides a realistic menu. To cope with sustainability, the energy and nutritional content of each dish is calculated together with its price and environmental impact. Furthermore, acceptability can be explicitly taken into account in a very natural way, that is bounding the daily, weekly, or total repetitions of single dishes and of dishes in the same food groups. The paper reviews three successful studies with increasing complexity considering lunch plans for schools and full-board menus for nursing homes. The case studies show a great reduction of the environmental impact of the meal plans while ensuring an adequate nutritional intake, affordable prices and most importantly the plans are varied and culturally acceptable.
食物消费是人类福祉与地球生态系统之间关系的最重要驱动因素之一。在不损害环境完整性或公众健康的情况下,当前的生产水平难以持续。这就要求食物消费模式发生决定性变化,以提高营养质量,同时尊重生物多样性和生态系统。只有当这种变化在文化上可接受、可获取、经济上公平且负担得起时,才会产生一定效果。传统上,食物计划的设计是使用数学优化模型,如线性规划。事实证明,这种方法在提供营养充足的饮食同时,将其经济和环境影响降至最低方面是成功的。然而,文化习惯以及膳食的吸引力和多样性很难处理,并且尚未找到将这些问题完全令人满意地纳入线性规划的方法。本文的目的是从传统的线性规划转向一种新的规划方法,以便在膳食计划设计中也能应对可接受性问题。二元整数线性规划是新的建模范式。在所提出的模型中,膳食计划包括提供给定时间段内每日膳食的顺序和组成,并且每餐可以使用给定集合中的菜肴来组成。因此,所提出的模型不是仅仅定义食物组或食物项目的消费水平,而是提供一份现实的菜单。为了应对可持续性,计算每道菜的能量和营养成分以及其价格和环境影响。此外,可以以一种非常自然的方式明确考虑可接受性,即限制单道菜以及同一食物组中菜肴的每日、每周或总重复次数。本文回顾了三项越来越复杂的成功研究,这些研究考虑了学校午餐计划和养老院全食宿菜单。案例研究表明,膳食计划的环境影响大幅降低,同时确保了充足的营养摄入、可承受的价格,最重要的是这些计划丰富多样且在文化上可接受。