A goal programming approach to address the proposal selection problem: a case study of a clinical and translational science institute

2016 ◽  
Vol 25 (1) ◽  
pp. 405-423 ◽  
Author(s):  
David A. Munoz ◽  
Harriet Black Nembhard ◽  
Kate Camargo

Author(s):  
MUKESH KUMAR MEHLAWAT

In this paper, we propose a multi-choice goal programming (MCGP) model of the multi-objective commercial-off-the-shelf (COTS) products selection problem. The proposed model simultaneously minimize the total cost, size, execution time and delivery time and maximize the system reliability of a modular software system subject to many realistic constraints including incompatibility among COTS products. We assume that the decision maker provides multiple aspiration levels regarding cost, size, execution time, delivery time and reliability objectives using discrete choices. To obtain efficient COTS selection plans, we use MCGP methodology to solve the COTS products selection problem. A real-world case study is discussed to demonstrate the effectiveness of the proposed model and methodology.



2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Pavinee Rerkjirattikal ◽  
Van-Nam Huynh ◽  
Sun Olapiriyakul ◽  
Thepchai Supnithi

The use of scheduling optimization tools is essential in creating an efficient nurse shift-rotation schedule. A well-designed nurse scheduling technique can improve nurses’ job satisfaction and their intention to stay. This study develops a goal programming approach to nurse scheduling that simultaneously considers workload fairness and individual preferences on working shift and day off assignments. A case study of an operating room at a hospital in Thailand is used to illustrate the model capabilities for solving an actual nurse scheduling problem. The job satisfaction factors defined based on an interview and questionnaire survey are integrated into the model. When compared against the manual scheduling result, the optimal schedules can be implemented to improve the nurse’s perception of fairness and preference satisfaction. The analysis of fairness and multiple individual preferences based on a case study investigation is the main contribution of this study.





2011 ◽  
Vol 110-116 ◽  
pp. 2958-2962
Author(s):  
Hamed Rafiei ◽  
Farzad Radmehr ◽  
Masoud Rabbani

This paper includes project selection problem. Indeed, decision maker wants to select some projects among a group of projects with considering the resource constraints or he/she wants to reach a sequence of projects for doing them. We consider an objective for selecting the projects: minimizing the deviations from optimum solution. We study our models and solution method by a case study from Iran. This solution method is based on goal programming. The results show the efficiency of model and solution method and a chart has been shown for analyzing the results and seeing the sequence of projects. Finally, we propose future researches and generation of problem.



2014 ◽  
Vol 25 (2) ◽  
pp. 429-435 ◽  
Author(s):  
Soleiman Mohammadi Limaei ◽  
Maryam Seddigh Kouhi ◽  
Teymour Rostami Sharaji


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