Collaborative Product Portfolio Design Based on the Approach of Multichoice Goal Programming

Product portfolio optimization is a typical multiobjective problem. The multichoice goal programming method becomes a popular means of resolving multiobjective decision problems. However, the classic multichoice goal programming method treats the product portfolio optimization in isolation and does not consider the mutual influence between portfolio products. Researchers should consider the interaction between products in portfolio optimization so that they can be adjusted to “real world” problems. The interaction between products can be explained by population dynamics. Logistic model is a classical method to analyze the population interaction. The equilibrium point of logistic model can show the ideal state of product population coordinated development. The combination of logistic and multichoice goal programming method is an effective approach to analyze the interaction of product portfolio. This paper therefore proposes a new alternative method to formulate the multiobjective problem and also uses an illustrative example to demonstrate the usefulness of the proposed method. The comparative analysis of model optimization results shows that logistic multichoice goal programming model can take into account resource constraints, product collaboration, and output maximization. Logistic multichoice goal programming model shows good performance in the aspects of operation complexity, operation time, sensitivity analysis, and collaborative entropy evaluation.

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Supported Evacuation for Disaster Relief through Lexicographic Goal Programming

Mathematics ◽

10.3390/math8040648 ◽

2020 ◽

Vol 8 (4) ◽

pp. 648

Author(s):

Inmaculada Flores ◽

M. Teresa Ortuño ◽

Gregorio Tirado ◽

Begoña Vitoriano

Keyword(s):

Goal Programming ◽

Programming Model ◽

Operation Time ◽

Health Condition ◽

Human Beings ◽

Goal Programming Model ◽

Logistic Problem ◽

Joint Consideration ◽

The Impact ◽

Lexicographic Goal Programming

Disasters have been striking human-beings from the beginning of history and their management is a global concern of the international community. Minimizing the impact and consequences of these disasters, both natural and human-made, involves many decision and logistic processes that should be optimized. A crucial logistic problem is the evacuation of the affected population, and the focus of this paper is the planning of supported evacuation of vulnerable people to safe places when necessary. A lexicographic goal programming model for supported evacuation is proposed, whose main novelties are the classification of potential evacuees according to their health condition, so that they can be treated accordingly; the introduction of dynamism regarding the arrival of potential evacuees to the pickup points, according to their own susceptibility about the disaster and the joint consideration of objectives such us number of evacuated people, operation time and cost, among which no trade-off is possible. The performance of the proposed model is evaluated through a realistic case study regarding the earthquake and tsunami that hit Palu (Indonesia) in September 2018.

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A polynomial goal programming model for portfolio optimization based on entropy and higher moments

Expert Systems with Applications ◽

10.1016/j.eswa.2017.10.056 ◽

2018 ◽

Vol 94 ◽

pp. 185-192 ◽

Cited By ~ 19

Author(s):

Mehmet Aksaraylı ◽

Osman Pala

Keyword(s):

Portfolio Optimization ◽

Goal Programming ◽

Programming Model ◽

Higher Moments ◽

Goal Programming Model

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A Goal Programming Model for Capital Budgeting Decisions

Artha Vijnana Journal of The Gokhale Institute of Politics and Economics ◽

10.21648/arthavij/1981/v23/i3-4/116609 ◽

1981 ◽

Vol 23 (3-4) ◽

pp. 299

Author(s):

Jaidev Agarwal ◽

L. S. Porwal ◽

Kanti Swarup

Keyword(s):

Goal Programming ◽

Programming Model ◽

Capital Budgeting ◽

Goal Programming Model

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A Multicriteria Goal Programming Model for Ranking Universities

Mathematics ◽

10.3390/math9050459 ◽

2021 ◽

Vol 9 (5) ◽

pp. 459

Author(s):

Fernando García ◽

Francisco Guijarro ◽

Javier Oliver

Keyword(s):

Goal Programming ◽

Programming Model ◽

Decision Makers ◽

University Rankings ◽

Central Tendency ◽

Performance Variables ◽

World University Rankings ◽

Goal Programming Model ◽

Objective Quantification

This paper proposes the use of a goal programming model for the objective ranking of universities. This methodology has been successfully used in other areas to analyze the performance of firms by focusing on two opposite approaches: (a) one favouring those performance variables that are aligned with the central tendency of the majority of the variables used in the measurement of the performance, and (b) an alternative one that favours those different, singular, or independent performance variables. Our results are compared with the ranking proposed by two popular World University Rankings, and some insightful differences are outlined. We show how some top-performing universities occupy the best positions regardless of the approach followed by the goal programming model, hence confirming their leadership. In addition, our proposal allows for an objective quantification of the importance of each variable in the performance of universities, which could be of great interest to decision-makers.

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