On lexicographic goal programming method for generating weights from inconsistent interval comparison matrices

2006 ◽  
Vol 173 (2) ◽  
pp. 985-991 ◽  
Author(s):  
Ying-Ming Wang
Keyword(s):  
Goal Programming ◽  
Programming Method ◽  
Interval Comparison ◽  
Lexicographic Goal Programming

scholarly journals Nonpreemptive Goal Programing Method in Optimization Nurse Scheduling by Considering Education Level

2021 ◽  
Vol 22 (2) ◽  
pp. 85
Author(s):  
Fitriani Utina ◽  
Lailany Yahya ◽  
Nurwan Nurwan
Keyword(s):  
Goal Programming ◽  
Undergraduate Education ◽  
Optimal Solution ◽  
Education Level ◽  
Programming Method ◽  
Nurse Scheduling ◽  
Optimal Service ◽  
Schedule Design ◽  
Good Nurse ◽  
Better Than

Nurse scheduling is one of the problems that often arise in hospital management systems. Head of ICU room and nurse to cooperate in making good nurse scheduling for the creation of optimal service. In this paper, we study a hospital nurse schedule design by considering the level of nurse education and the provision of holidays. Nurses with undergraduate education (S1) Nurses become leaders on every shift and are accompanied by nurses with diploma education (D3). The scheduling model in this study using the nonpreemptive goal programming method and LINGO 11.0 software. The preparation of the schedule of nurses assigned to this method can optimize the need for efficient nurses per shift based on education level. The data in the research was obtained by collecting administrative data at Aloei Saboe Gorontalo hospital. The data used are the published schedule by the head of the ICU room. In making a nurse schedule, there are limitations to consider such ashospital regulation. The results of the study obtained an optimal solution in the form of meeting all the desired obstacles. Computational results shows that nurse scheduling using the nonpreemptive goal programming method and LINGO 11.0 software better than the schedule created manually. Every shift is a maximum of one leader with an undergraduate education (S1) background and accompanied by a nurse with a diploma education (D3) background. Keywords: scheduling, goal programming, nonpreemptive goal programming.

Lexicographic Goal Programming and Assessment Tools for a Combinatorial Production Problem

2011 ◽  
pp. 148-184 ◽  
Author(s):  
Seamus M. McGovern ◽  
Surendra M. Gupta
Keyword(s):  
Goal Programming ◽  
Optimal Solution ◽  
General Purpose ◽  
Combinatorial Problems ◽  
Assessment Tools ◽  
Data Sets ◽  
Combinatorial Search ◽  
Benchmark Data ◽  
Lexicographic Goal Programming ◽  
Solution Techniques

NP-complete combinatorial problems often necessitate the use of near-optimal solution techniques including heuristics and metaheuristics. The addition of multiple optimization criteria can further complicate comparison of these solution techniques due to the decision-maker’s weighting schema potentially masking search limitations. In addition, many contemporary problems lack quantitative assessment tools, including benchmark data sets. This chapter proposes the use of lexicographic goal programming for use in comparing combinatorial search techniques. These techniques are implemented here using a recently formulated problem from the area of production analysis. The development of a benchmark data set and other assessment tools is demonstrated, and these are then used to compare the performance of a genetic algorithm and an H-K general-purpose heuristic as applied to the production-related application.

scholarly journals Supported Evacuation for Disaster Relief through Lexicographic Goal Programming

Mathematics ◽  
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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