Menu planning with a dynamic goal programming approach

Abstract

Dynamic Goal Programming (DGP) represents an extension of Goal Programming (GP). It is characterized by the importance of time factor in relation to its variables. As a complex decision making problem, Menu Planning Problem (MPP) requires the development of methodologies which are able to combine different and conflicting goals incorporating the dynamic characteristics. The article reviews some of the studies and approaches used in MPP. It deals with the Standard GP model of MPP. It provides a DGP formulation for solving the MPP. An MPP for the hemodialysis (HD) patient is an application that best exemplifies the proposed dynamic formulation.

Integration of production scheduling and energy-cost optimization using Mean Value Cross Decomposition

“…In the lake-river regulation models elaborated in Paper 4, the parameters are related to the inflow of water at different times. A quite similar model with dynamic goals is found, e.g., in the health-care related dietary menu planning problem studied by Jridi et al (2018).…”

Healthcare’s Sustainable Resource Planning Using Neutrosophic Goal Programming

“…Tables [19][20][21][22] show the obtained values for all variables. Similarly, Figures 5-7 illustrate the growth in the budgets, staff, medical devices, and medical drugs.…”

“…is approach is used to evaluate along a planning period. References [19][20][21] addressed the dynamic goal programming where the target values are changed as per the planning period:…”

“…In the first method, the crisp value will be the average of the mean of the three intervals obtained from the (α, β, c) − cut set of GTNN. e crisp value can be calculated as equation (21).…”