A Linear Goal Programming Method for Solving Chance-Constrained Multiobjective Problems with Interval Data Uncertainty

2015 ◽  
pp. 325-343
Author(s):  
Mousumi Kumar ◽  
Bijay Baran Pal
Keyword(s):  
Goal Programming ◽  
Interval Data ◽  
Programming Method ◽  
Data Uncertainty ◽  
Multiobjective Problems ◽  
Linear Goal Programming

scholarly journals Linear Goal Programming Method for Optimal Decision Making of Multi-Criteria Assignment Problems

2019 ◽  
Vol 26 (2) ◽  
pp. 73-79
Author(s):  
Watheq Hayawi Laith
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Assignment Problem ◽  
Programming Method ◽  
Service Organizations ◽  
Optimal Decision ◽  
Linear Goal Programming ◽  
Efficiency And Effectiveness ◽  
Optimal Decision Making ◽  
The Right

The decision making process is the essence of the administrative process and its means of achieving the goals of the service organizations or productivity because the decision contributes mainly to enable them to carry out their administrative activities efficiently and effectively. The assignment process is one of the most important problems affecting the organizations performance because to determine the administrative composition of the organization. The correct decision making to the assignment problem and the right person in the right place will increase the efficiency and effectiveness of the organization. The previous methods to solve these problems depend on a single criterion such as cost, profit, time and so on. In this paper, three models were formulated for the of multi-criteria assignment problem. The first model multiple objective for present assignment problem when the assignment matrix is square, while the second and third models are a non-square assignment problem. The second model is the number of rows is greater than the number of columns while the third model where the number of columns larger than the rows. The second model is applied to the assignment problem of unit managers in the college of Administration and Economics based on two criteria: deferring the employee's desire to leader of task and the other criterion of assignment cost and using goal programming method. The data were collected by questionnaire.

Open pit optimisation including mineral dressing criteria using 0–1 non-linear goal programming

2004 ◽  
Vol 113 (1) ◽  
pp. 3-16 ◽  
Author(s):  
Bijan Esfandiari ◽  
Mir Bahador Aryanezhad ◽  
S. Amir Abrishamifar
Keyword(s):  
Goal Programming ◽  
Open Pit ◽  
Linear Goal Programming ◽  
Non Linear

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.

scholarly journals Pengembangan Struktur Ekonomi Jawa Timur pada Tahun 2002 dengan Menggunakan Linear Goal Programming

2010 ◽  
Vol 3 (2) ◽  
pp. 93
Author(s):  
Sugeng Santoso, Ratri Handayani
Keyword(s):  
Labor Force ◽  
Goal Programming ◽  
Consumer Demand ◽  
Economic Structure ◽  
Added Value ◽  
Economic Sector ◽  
Force Coefficient ◽  
Demand Fulfillment ◽  
Linear Goal Programming ◽  
Textile Industries

This research has objective in planning economic structure of East Java in 2002.Some aspect should be considered in planing the structure are consumer demand fulfillment that hasclose relation with output which must be resulted by respective sector,PDRB target achievement while paying attention on problem of absorbing labor force in the respective economic sector and import reduction.To attain the structure we use concept of linear goal programming. The first step we take is developing a model suitable for the linear goal programming and then manipulating data hat is began by aggregation updating,arranging technology coellcient, labor force coefficient,added value coeffcient import coefficient and right side value. To get a solution of the existing model we make use of QS software.From the result of research could be concluced that priority sector must be priority are l. Trading, 2. Textile Industries 3. Transportation4. cigaretteindustry,6. Food of plants.The critical sector have to be attended are 1. Fishery,2. Bevarage industry, 3. Forestry

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