scholarly journals Propuesta de optimización de metas del área de mantenimiento mediante programación lineal por metas

2020 ◽  
pp. 1-7
Author(s):  
Gustavo HERRERA-SÁNCHEZ ◽  
Alejandro SILVA-JUÁREZ ◽  
José Luis GALLARDO-NAVARRO ◽  
Josué Horacio RÍOS-REYES
Keyword(s):  
Mathematical Model ◽  
Goal Programming ◽  
Programming Model ◽  
Mathematical Technique ◽  
Strategic Objectives ◽  
Second Stage ◽  
Goal Programming Model ◽  
Mathematical Algorithms ◽  
Last Stage ◽  
The Mathematical Model

In any organization all its processes are interrelated to achieve its strategic objectives. The purpose of this study is to propose a goal programming model for the optimization of the objectives of the maintenance area. Linear programming is a mathematical technique that allows the optimization of processes by analysing the variables involved in them through mathematical algorithms. The first stage is the formulation of the mathematical model characterized by the indicators of the maintenance area and the strategic objectives, the second stage is the solution of the mathematical model of goal programming considering different scenarios. The last stage is the validation by experts of the maintenance area before implementing it in the organizations. The expected benefit is that it is a tool for decision making in the maintenance area to consider that your activities can be optimized either to increase your benefits and / or decrease your costs through the technique of goal programming.

A GOAL PROGRAMMING MODEL FOR OPTIMIZING RELIABILITY, MAINTAINABILITY AND SUPPORTABILITY UNDER PERFORMANCE BASED LOGISTICS

2007 ◽  
Vol 14 (03) ◽  
pp. 251-261 ◽  
Author(s):  
U. DINESH KUMAR ◽  
DAVID NOWICKI ◽  
JOSÉ E. RAMÍREZ-MÁRQUEZ ◽  
DINESH VERMA
Keyword(s):  
Mathematical Model ◽  
Systems Engineering ◽  
Goal Programming ◽  
Programming Model ◽  
Design Stage ◽  
Operational Effectiveness ◽  
Public And Private ◽  
Goal Programming Model ◽  
Excel Solver ◽  
Procurement Strategies

Reliability, Maintainability and Supportability (R, M and S) are the main drivers of the system operational effectiveness (SOE). New procurement strategies have been developed by both public and private sectors to focus on the R, M and S characteristics inherent to the design of a system. One such strategy known as Performance Based Logistics (PBL) has gained popularity due to its success in improving the operational effectiveness of the system. In a PBL contract the customer buys performance, typically measured using R, M and S metrics, instead of contracting for a specified collection of resources defining the underlying support infrastructure. In this paper we have developed a mathematical model, using Goal Programming to optimize multiple performance measures of a design. We show how the best design is chosen from competing design alternatives when systems engineering principles are considered in defining the evaluation measures. The proposed mathematical model simultaneously considers multiple system engineering metrics during the design stage of the product development. The engineering metrics considered are a representation of the system's operational availability, reliability, maintainability, supportability and total cost of ownership. The Goal Programming model developed in the paper can be easily solved using software such as LINDO, LINGO and Excel Solver.

scholarly journals A Multicriteria Goal Programming Model for Ranking Universities

Mathematics ◽  
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.

Allocation of teaching personnel: A goal programming model

1983 ◽  
Vol 17 (4) ◽  
pp. 211-216 ◽  
Author(s):  
Sheila M. Lawrence ◽  
Kenneth D. Lawrence ◽  
Gary R. Reeves
Keyword(s):  
Goal Programming ◽  
Programming Model ◽  
Goal Programming Model ◽  
Teaching Personnel

scholarly journals Addressing uncertainty in sugarcane harvest planning through a revised multi-choice goal programming model

2015 ◽  
Vol 39 (18) ◽  
pp. 5540-5558 ◽  
Author(s):  
Aneirson Francisco da Silva ◽  
Fernando Augusto Silva Marins ◽  
Erica Ximenes Dias
Keyword(s):  
Goal Programming ◽  
Programming Model ◽  
Goal Programming Model
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