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Main Authors: Kiss, L N, Fonteix, C, Camargo, M, Morel, L, Renaud, J
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.04461
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author Kiss, L N
Fonteix, C
Camargo, M
Morel, L
Renaud, J
author_facet Kiss, L N
Fonteix, C
Camargo, M
Morel, L
Renaud, J
contents The ranking of possible alternatives during the design or operation of an industrial process leads to the definition of a solution representing the best compromise between several contradictory objectives. The choice of solution is a decision that can be modeled using knowledge of the corresponding preferences. The decision and preference model used is that of flow balances. Munster cheese is used as an example. These are highly distinctive cheeses that are not suitable for uninformed consumers. If the decision-maker wishes to widen his consumer panel, he must modify the production line settings. In the event of a change in preferences due to an external influence, the decision-maker must adapt, but not too abruptly, to avoid both production line oscillations and consumer annoyance. To solve this problem, we propose a new technique: dynamic flow balances. This makes it possible to forecast production trends. Prospects are also proposed, such as the creation of a multi-criteria predictive control.
format Preprint
id arxiv_https___arxiv_org_abs_2409_04461
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle How can a decision maker take into account the evolution of his preferences over time?
Kiss, L N
Fonteix, C
Camargo, M
Morel, L
Renaud, J
Optimization and Control
The ranking of possible alternatives during the design or operation of an industrial process leads to the definition of a solution representing the best compromise between several contradictory objectives. The choice of solution is a decision that can be modeled using knowledge of the corresponding preferences. The decision and preference model used is that of flow balances. Munster cheese is used as an example. These are highly distinctive cheeses that are not suitable for uninformed consumers. If the decision-maker wishes to widen his consumer panel, he must modify the production line settings. In the event of a change in preferences due to an external influence, the decision-maker must adapt, but not too abruptly, to avoid both production line oscillations and consumer annoyance. To solve this problem, we propose a new technique: dynamic flow balances. This makes it possible to forecast production trends. Prospects are also proposed, such as the creation of a multi-criteria predictive control.
title How can a decision maker take into account the evolution of his preferences over time?
topic Optimization and Control
url https://arxiv.org/abs/2409.04461