菜单工程的持续护理高级生活设施与俘虏用餐顾客

IF 1.1 4区 管理学 Q4 MANAGEMENT Informs Journal on Applied Analytics Pub Date : 2022-10-10 DOI:10.1287/inte.2022.1140
S. Kulturel-Konak, A. Konak, Lily Jakielaszek, N. Gavirneni
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引用次数: 0

摘要

持续护理设施是老年生活社区中快速增长的一部分,提供端到端的解决方案,包括独立生活、辅助生活、养老院护理和最终的临终关怀。所有这些机构都包含(除了与生活、锻炼、学习、活动等相关的其他设施外)由跨学科(财务、营养、营养师、厨房操作、酒店和采购)管理团队管理的餐饮服务,每个人都有自己的目标,同时认识到总体的组织、运营和财务指标。这些设施的居民大部分在这些餐饮设施用餐,这就要求所提供的食物完全符合营养、饮食、成本和操作要求。因此,必须仔细选择食物的菜单(通常每隔几周轮换一次),以便有效地采购、加工和供应,同时满足相应利益相关者提出的营养、饮食和顾客满意度限制。我们使用混合整数线性规划来解决这个复杂、笨拙和大型的多目标优化问题。我们展示了菜单规划者和厨师如何分析他们关于菜单结构的决策,并评估替代菜单干预措施,以提高菜单的营养价值,同时确保居民在做出食物选择决策时的自主权。在此过程中,我们采访了各种利益相关者,确定了他们的目标和限制,收集了必要的数据,制定并解决了由此产生的优化问题,并制作了明显有效的菜单。
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Menu Engineering for Continuing Care Senior Living Facilities with Captive Dining Patrons
Continuing care facilities are a rapidly growing segment of senior living communities providing end-to-end solutions comprising independent living, assisted living, nursing home care, and ultimately hospice. All these establishments contain (in addition to other facilities associated with living, exercising, learning, activities, etc.) dining services managed by an interdisciplinary (finance, nutrition, dietitian, kitchen operations, hospitality, and procurement) team of executives, each with their own objective while cognizant of the overarching organizational, operational, and financial metrics. The residents of these facilities consume most of their meals at these dining facilities, necessitating that the food served meets the complete nutrition, dietary, cost, and operational requirements. Thus, the menu (often rotating every few weeks) of food items must be carefully chosen to be efficiently procured, processed, and served, all the while meeting the nutritional, dietary, and patron satisfaction constraints each put forth by the corresponding stakeholder. We address this complex, unwieldy, and large multiobjective optimization problem using mixed integer linear programming. We demonstrate how menu planners and chefs can analyze their decisions regarding menu structures and evaluate alternative menu interventions to improve menus’ nutritional value while ensuring their residents’ autonomy in making food choice decisions. Along the way, we interviewed various stakeholders, identified their objectives and constraints, gathered the necessary data, formulated and solved the resulting optimization problems, and produced demonstrably effective menus.
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