Dynamic linear programming model for quarterly budget allocation and execution / Rossidah Wan Abdul Aziz

Managing a strategic budget allocation based on votes and a systematic monitoring execution to ensure the effective practice of the budget is still lacking. Due to ineffective budget allocation, execution and monitoring, management is bound to encounter spree-spending of the budget. Most studies on...

全面介紹

Saved in:
書目詳細資料
主要作者: Wan Abdul Aziz, Rossidah
格式: Thesis
語言:English
出版: 2019
主題:
在線閱讀:https://ir.uitm.edu.my/id/eprint/40214/1/40214.pdf
https://ir.uitm.edu.my/id/eprint/40214/
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
機構: Universiti Teknologi Mara
語言: English
id my.uitm.ir.40214
record_format eprints
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Programming. Rule-based programming. Backtrack programming
Evolutionary programming (Computer science). Genetic algorithms
spellingShingle Programming. Rule-based programming. Backtrack programming
Evolutionary programming (Computer science). Genetic algorithms
Wan Abdul Aziz, Rossidah
Dynamic linear programming model for quarterly budget allocation and execution / Rossidah Wan Abdul Aziz
description Managing a strategic budget allocation based on votes and a systematic monitoring execution to ensure the effective practice of the budget is still lacking. Due to ineffective budget allocation, execution and monitoring, management is bound to encounter spree-spending of the budget. Most studies on budget allocation of HEIs have used linear programming, integer programming, and multi objective or goal programming for yearly budget planning. However, there is no study concerning the use of Dynamic Programming (DP) in minimization quarterly and yearly budget variance. Thus, this study is concerned with the development of Dynamic Linear Programming models for faculty's budget allocation and execution. The aim is to optimize the efficiency of budget utilization of faculties of a local public university. This study is divided into three stages with four objectives, which are: to analyze the current faculties' budget allocation and utilization, to develop the Quarterly Budget Allocation Model (QBAM) and Quarterly Budget Execution Model (QBEM), to formulate Dynamic Linear Programming model for Quarterly Budget Allocation and Execution (DLP-QBAE) that minimizes the quarterly and annually budget variance and, to determine the optimal strategies for quarterly budget allocation and execution based on the models. The preliminary survey shows that most of the faculties in three clusters did not fully utilize their allocated budgets. The budget allocation and utilization of selected faculties' in three years have been analysed using descriptive analysis, pie chart and Pareto diagram. Pareto analysis determines the highest budget given to the faculties according to the academic clusters. Three QBAM models for determining budget allocation proportion per quarter namely the horizontal line, staircase and zigzag models are put forward. These models are developed based on analysis of past data and they represent strategies for quarterly allocations, which have the potential of maximizing the efficiency of each faculty's allocated budget utilization. The QBEM includes targets for the quarterly budget utilization and the lower and upper bounds for quarterly votes' utilizations. Six changes of parameter (quarterly target of spending) are proposed, resulting in six variants of QBEM denoted as QBEM 1 to QBEM 6. Meanwhile, budget optimization for the budget planning and execution is proposed as the DLP-QBAE model that generates optimal percentage of budget allocation and utilization per quarter based on input of QBAM and QBEM. Analysis of results shows that there is no difference among the three QBAM models while the proposed QBEM 3 gives the lowest yearly budget variance due to the spending percentage of QBEM 3 being the highest among all models. This shows that the higher the yearly expenditure, the lower the variance (yearly budget balance). Thus, to minimize the yearly budget variance, the respective faculty has to optimize the utilization of the yearly budget allocation. This study has produced a comprehensive model for faculties' budget planning and management that will help faculties to utilize the budget more efficiently. With the graphical user interface (GUI) developed, the model has the potential to be applied for managing budget in any organization or department. The DLP-QBAE model can also be used as a base model or modified for the development or extension of the model concerning the same area of problem. It can also be used for other resources' allocation optimization in various other applications.
format Thesis
author Wan Abdul Aziz, Rossidah
author_facet Wan Abdul Aziz, Rossidah
author_sort Wan Abdul Aziz, Rossidah
title Dynamic linear programming model for quarterly budget allocation and execution / Rossidah Wan Abdul Aziz
title_short Dynamic linear programming model for quarterly budget allocation and execution / Rossidah Wan Abdul Aziz
title_full Dynamic linear programming model for quarterly budget allocation and execution / Rossidah Wan Abdul Aziz
title_fullStr Dynamic linear programming model for quarterly budget allocation and execution / Rossidah Wan Abdul Aziz
title_full_unstemmed Dynamic linear programming model for quarterly budget allocation and execution / Rossidah Wan Abdul Aziz
title_sort dynamic linear programming model for quarterly budget allocation and execution / rossidah wan abdul aziz
publishDate 2019
url https://ir.uitm.edu.my/id/eprint/40214/1/40214.pdf
https://ir.uitm.edu.my/id/eprint/40214/
_version_ 1720983235892084736
spelling my.uitm.ir.402142021-12-27T03:15:47Z https://ir.uitm.edu.my/id/eprint/40214/ Dynamic linear programming model for quarterly budget allocation and execution / Rossidah Wan Abdul Aziz Wan Abdul Aziz, Rossidah Programming. Rule-based programming. Backtrack programming Evolutionary programming (Computer science). Genetic algorithms Managing a strategic budget allocation based on votes and a systematic monitoring execution to ensure the effective practice of the budget is still lacking. Due to ineffective budget allocation, execution and monitoring, management is bound to encounter spree-spending of the budget. Most studies on budget allocation of HEIs have used linear programming, integer programming, and multi objective or goal programming for yearly budget planning. However, there is no study concerning the use of Dynamic Programming (DP) in minimization quarterly and yearly budget variance. Thus, this study is concerned with the development of Dynamic Linear Programming models for faculty's budget allocation and execution. The aim is to optimize the efficiency of budget utilization of faculties of a local public university. This study is divided into three stages with four objectives, which are: to analyze the current faculties' budget allocation and utilization, to develop the Quarterly Budget Allocation Model (QBAM) and Quarterly Budget Execution Model (QBEM), to formulate Dynamic Linear Programming model for Quarterly Budget Allocation and Execution (DLP-QBAE) that minimizes the quarterly and annually budget variance and, to determine the optimal strategies for quarterly budget allocation and execution based on the models. The preliminary survey shows that most of the faculties in three clusters did not fully utilize their allocated budgets. The budget allocation and utilization of selected faculties' in three years have been analysed using descriptive analysis, pie chart and Pareto diagram. Pareto analysis determines the highest budget given to the faculties according to the academic clusters. Three QBAM models for determining budget allocation proportion per quarter namely the horizontal line, staircase and zigzag models are put forward. These models are developed based on analysis of past data and they represent strategies for quarterly allocations, which have the potential of maximizing the efficiency of each faculty's allocated budget utilization. The QBEM includes targets for the quarterly budget utilization and the lower and upper bounds for quarterly votes' utilizations. Six changes of parameter (quarterly target of spending) are proposed, resulting in six variants of QBEM denoted as QBEM 1 to QBEM 6. Meanwhile, budget optimization for the budget planning and execution is proposed as the DLP-QBAE model that generates optimal percentage of budget allocation and utilization per quarter based on input of QBAM and QBEM. Analysis of results shows that there is no difference among the three QBAM models while the proposed QBEM 3 gives the lowest yearly budget variance due to the spending percentage of QBEM 3 being the highest among all models. This shows that the higher the yearly expenditure, the lower the variance (yearly budget balance). Thus, to minimize the yearly budget variance, the respective faculty has to optimize the utilization of the yearly budget allocation. This study has produced a comprehensive model for faculties' budget planning and management that will help faculties to utilize the budget more efficiently. With the graphical user interface (GUI) developed, the model has the potential to be applied for managing budget in any organization or department. The DLP-QBAE model can also be used as a base model or modified for the development or extension of the model concerning the same area of problem. It can also be used for other resources' allocation optimization in various other applications. 2019 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/40214/1/40214.pdf ID40214 Wan Abdul Aziz, Rossidah (2019) Dynamic linear programming model for quarterly budget allocation and execution / Rossidah Wan Abdul Aziz. PhD thesis, thesis, Universiti Teknologi MARA.