scholarly journals Lexicographic Goal Programming Model for Bank’s Performance Management

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Ali AlArjani ◽  
Teg Alam
Keyword(s):  
Saudi Arabia ◽  
Performance Management ◽  
Goal Programming ◽  
Financial Management ◽  
Programming Model ◽  
Financial Statements ◽  
Operating Income ◽  
Proposed Model ◽  
Goal Programming Model ◽  
Lexicographic Goal Programming

Any bank’s financial management is essential to preparing the assets and liabilities for multiple goals. In this paper, we develop an optimal bank model for the financial management department in the Kingdom of Saudi Arabia. The lexicographic goal programming model was used to formulate the banks’ performance management. In this study, the six goals of one of the leading banks in Saudi Arabia, namely, maximize asset, minimize liability, maximize equity, maximize operating income, maximize net income, and maximizing total goal achievements in the financial statement, were studied. To illustrate the model, we have focused on Al Rajhi Bank’s financial statements as a case study. The data was obtained from the banks’ financial statements. The outcomes of the study exhibited that all goals were accomplished. This proposed model is dynamic because it will help examine the banks’ financial strengths located in the kingdom. As a result, the proposed model can guide banking firms in making decisions and developing strategies to deal with numerous monetary circumstances.

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.

scholarly journals GOAL PROGRAMMING SEBAGAI DECISION SUPPORT SYSTEM TINGKAT KESEHATAN BANK PT BANK BUKOPIN, TBK

BISMA ◽  
2017 ◽  
Vol 11 (2) ◽  
pp. 209
Author(s):  
Aprilia Sintya Dewi ◽  
Hadi Paramu ◽  
Tatok Endhiarto
Keyword(s):  
Goal Programming ◽  
Priority Setting ◽  
Programming Model ◽  
Capital Adequacy ◽  
Return On Equity ◽  
Operating Income ◽  
Health Level ◽  
Net Interest Margin ◽  
Goal Programming Model ◽  
Asset Quality

Abstract: This research aimed to analyze the changes in several objective priorities as the banking targets in the decision making process. The research applied goal programming model and based on the experiments on the financial data or ratios. The objective functions of the research were the ratios used to asses bank health level, namely: capital, Capital Adequacy Ratio (CAR), asset quality, Return on Assets (ROA), Return on Equity (ROE), Net Interest Margin (NIM), Operational Cost compared to Operating Income (BOPO) and Loan to Deposit Ratio (LDR). Results show that only capital and LDR targets achieved predominantly on a variety of priority setting. While the targets of CAR, asset quality, ROE, and NIM are not achieved predominantly on a variety of priority setting. Keywords: Capital, CAR, Asset Quality, ROA,ROE, NIM, BOPO, LDR, Financial Health Level.

scholarly journals Binary goal programming model for optimizing tire selection using branch and bound algorithm

2021 ◽  
Vol 12 ◽  
pp. 8
Author(s):  
Shady Aly
Keyword(s):  
Decision Making ◽  
Branch And Bound ◽  
Goal Programming ◽  
Programming Model ◽  
Operating Conditions ◽  
Branch And Bound Algorithm ◽  
Adoption Decision ◽  
Proposed Model ◽  
Goal Programming Model ◽  
Design Selection

The problem of assessment and adoption of automotive tyre design specifications has not been addressed sufficiently in literature. This is in spite of its significance as a crucial component relevant to design and safety of the automobile. In this paper, a multi-objective optimization model of the tyre design trademark adoption decision is proposed. Multi-attribute or multi-criterion decision making techniques are heuristics providing good solution, but do not guarantee optimum solution. Up to date, there is no optimal yielding method for selection of vehicle tyre manufacturer or trademark based on prespecified design targets. The proposed model is formulated as a binary goal programming model for optimizing tyre trademark design selection decision by adopting an optimal tyre design trademark that best achieve design targets. The model is solved by the branch and bound algorithm. One advantage of the proposed model is flexibility to incorporate multiple design targets, tolerance limits and different constraints. The proposed model can support efficient and effective decision making concerning the adoption of tyre trademark design for new automobile or to re-adopt new design for new road vehicle operating conditions.

scholarly journals Optimizing the Asset and Liability Management of Telecommunication Company using Goal Programming Model

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Lam Weng Siew ◽  
Lam Weng Hoe ◽  
Lee Pei Fun
Keyword(s):  
Goal Programming ◽  
Financial Management ◽  
Programming Model ◽  
Data Traffic ◽  
Finance Management ◽  
Liability Management ◽  
Goal Programming Model ◽  
Asset And Liability Management ◽  
Telecommunication Company ◽  
Telecommunications Companies

Since the telecommunications companies experience great competition, high churn rate, data traffic issues during the Covid-19 pandemic and the upgrade to 5G connectivity, the finance management of a telecommunications company should be analyzed to study the volatility and returns in the sector. This paper aims to develop a goal programming model to examine the asset and liability management of a telecommunication company, namely Telekom Malaysia Berhad (TM) in Malaysia. The result of this study shows that TM has achieved all the goals in maximizing assets, equities, profits, earnings and optimum management item while minimizing liabilities over the period of study from 2015 to 2019. Potential improvements on these goals have also been identified through this study. This paper has also contributed to the studies in financial management since past studies have not been done on asset and liability management in telecommunications companies which is rapidly growing and expanding even while the world is suffering from economy crisis during this pandemic.

scholarly journals Optimizing the Financial Management of Electronic Companies using Goal Programming Model

2021 ◽  
Vol 2070 (1) ◽  
pp. 012046
Author(s):  
Lam Weng Hoe ◽  
Lam Weng Siew ◽  
Lee Pei Fun
Keyword(s):  
Goal Programming ◽  
Financial Management ◽  
Programming Model ◽  
Optimal Solution ◽  
Life Cycles ◽  
Strategic Decision ◽  
Electronic Products ◽  
Goal Programming Model ◽  
Optimal Values ◽  
Optimum Management

Abstract The swift development and transformation of emerging technologies such as augmented reality, robotics, biometrics and 3D printing place varying degree of pressure to the electronic industry to play a trailblazing role in making the world a smarter place of living. The concept of smart city increases the demand for the upgrades and sophistication of electronic components. Shorter product life cycles of personal and commercial electronic products also keep the electronic companies in a never-ending loop for huge investments in materials, equipment and expertise. Electronic companies in Malaysia are still facing financial stress in their operations. Therefore, this paper aims to optimize the financial management of listed electronic companies, namely D&O, GTRONIC, UNISEM and VITROX with asset, liability, equity, earning, profit and optimum management item as the objectives using goal programming model. The benchmarks of all the goals are obtained by comparing the maximum and minimum values of the optimal values of these companies. The results of this study show that the goal programming model is able to generate the optimal solution for each company. Besides liability and earnings, all the goals have been attained by these companies upon analysis using goal programming. Possible refinement values particularly for liabilities for all the companies have been generated from this model to provide insights for these companies to benchmark for risk alleviation and strategic decision making.

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