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1

Profitability as a business goal: the multicriteria approach to the ranking of the five largest Croatian banks

100%
Rosenzweig V., Volarević H., Varović M.
Business Systems Research Journal
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2012
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vol. 3
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issue 1
37-48
EN
Background: The ranking of commercial banks is usually based on using a single criterion, the size of assets or income. A multicriteria approach allows a more complex analysis of their business efficiency. Objectives: This paper proposes the ranking of banks based on six financial criteria using a multicriteria approach implementing a goal programming model. The criteria are classified into three basic groups: profitability, credit risk and solvency. Methods/Approach: Business performance is evaluated using a score for each bank, calculated as the weighted sum of relative values of individual indicators. Results: In the process of solving the corresponding goal programming problem, the weights are calculated. It is assumed that the goal of each bank is the highest profitability. Because of the market competition among banks, the weights of indicators depend on the performance of each bank. This method is applied to the five biggest Croatian banks (ZABA, PBZ, ERSTE, RBA and HYPO). Conclusion: For the observed period (2010), the highest priority is given to profitability and then to credit risk. The ranking is achieved by using a multicriteria model.
2
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An integrated modelling approach for an optimal location of warehouses in the defence industry organisation

100%
GELIBOLU BAYRAKCI M., BAYKOÇ Ö. F.
Operations Research and Decisions
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2023
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vol. 33
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issue 2
35-52
EN
Countries’ defence industries are the leading indicator of their global power. The warehouse is the place where the materials are kept until the customer order arrives so that the companies are viable and can respond appropriately to internal/external customer demands. In this regard, warehouse location plays a vital role in the defence industry in terms of storage options with increased flexibility, a simplified supply chain with cost management and optimal positioning according to deployment locations. In this study, the decision on the location of warehouses for logistic support during the warranty period of military vehicles manufactured and supplied to the armed forces by a defence company was made. It is aimed to propose the best solution to a real-life problem with high complexity, containing many data and constraints. In this context, the criteria that are thought to be most relevant to this problem have been determined by taking expert opinions. Having determined the order of importance of the requirements by the analytical hierarchy process (AHP) with the Super Decisions V 2.10, their weights were included as a coefficient of the objective function in the goal programming (GP) model. As a result of solving the GP model using GAMS (general algebraic modelling system), it was decided to select the warehouses that provided the optimal results among the alternative warehouse locations in 9 different locations. Furthermore, to see the impact of changes in criterion weights, sensitivity analysis has also been included. The significance of this research lies within the integrated usage of AHP and GP in the defence industry when determining warehouse locations by the experts’ opinions. With this study, not only a solution strategy was developed, but also a basis for the warehouse location decision in the defence industry projects already signed or to be signed was given.
3
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An integrated modelling approach for an optimal location of warehouses in the defence industry organisation

100%
Bayrakcı M. G., Baykoç Ö. F.
Operations Research and Decisions
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2023
|
vol. 33
|
issue 2
EN
Countries’ defence industries are the leading indicator of their global power. The warehouse is the place where the materials are kept until the customer order arrives so that the companies are viable and can respond appropriately to internal/external customer demands. In this regard, warehouse location plays a vital role in the defence industry in terms of storage options with increased flexibility, a simplified supply chain with cost management and optimal positioning according to deployment locations. In this study, the decision on the location of warehouses for logistic support during the warranty period of military vehicles manufactured and supplied to the armed forces by a defence company was made. It is aimed to propose the best solution to a real-life problem with high complexity, containing many data and constraints. In this context, the criteria that are thought to be most relevant to this problem have been determined by taking expert opinions. Having determined the order of importance of the requirements by the analytical hierarchy process (AHP) with the Super Decisions V 2.10, their weights were included as a coefficient of the objective function in the goal programming (GP) model. As a result of solving the GP model using GAMS (general algebraic modelling system), it was decided to select the warehouses that provided the optimal results among the alternative warehouse locations in 9 different locations. Furthermore, to see the impact of changes in criterion weights, sensitivity analysis has also been included. The significance of this research lies within the integrated usage of AHP and GP in the defence industry when determining warehouse locations by the experts’ opinions. With this study, not only a solution strategy was developed, but also a basis for the warehouse location decision in the defence industry projects already signed or to be signed was given.
4
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Goal programming approach for solving heptagonal fuzzy transportation problem under budgetry constraint

86%
KHALIFA H. A. E.-w.
Operations Research and Decisions
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2020
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vol. 30
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issue 1
85-96
EN
Transportation problem (TP) is a special type of linear programming problem (LPP) where the objective is to minimize the cost of distributing a product from several sources (or origins) to some destinations. This paper addresses a transportation problem in which the costs, supplies, and demands are represented as heptagonal fuzzy numbers. After converting the problem into the corresponding crisp TP using the ranking method, a goal programming (GP) approach is applied for obtaining the optimal solution. The advantage of GP for the decision-maker is easy to explain and implement in real life transportation. The stability set of the first kind corresponding to the optimal solution is determined. A numerical example is given to highlight the solution approach.
5
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Fuzzy programming for multi-choice bilevel transportation problem

86%
ARORA R., GUPTA K.
Operations Research and Decisions
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2021
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vol. 31
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issue 3
5-21
XX
Multi-choice programming problems arise due to the diverse needs of people. In this paper, multi-choice optimization has been applied to the bilevel transportation problem. This problem deals with transportation at both the levels, upper as well as lower. There are multiple choices for demand and supply parameters. The multi-choice parameters at the respective levels are converted into polynomials which transmute the defined problem into a mixed integer programming problem. The objective of the paper is to determine a solution methodology for the transformed problem. The significance of the formulated model is exhibited through an example by applying it to the hotel industry. The fuzzy programming approach is employed to obtain a satisfactory solution for the decision-makers at the two levels. A comparative analysis is presented in the paper by solving the bilevel multi-choice transportation problem with goal programming mode as well as by the linear transformation technique. The example is solved using computing software.
6
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Metody zarządzania zasobami na przykładzie służby zdrowia

51%
UZIAŁKO J., RADOSIŃSKI E.
Operations Research and Decisions
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2009
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vol. 19
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issue 1
121-142
PL
W artykule przedstawiono i zanalizowano problem zarządzania zasobami w służbie zdrowia. Omówiono podstawowe zagadnienia w procesie alokacji zasobów medycznych. Zaprezentowano przykłady zastosowania wybranych metod: programowania matematycznego (liniowego, całkowitoliczbowego, celowego, sieciowego), teorii kolejek, modelowania symulacyjnego, systemów hybrydowych oraz standardowych metod kosztowo-efektywnościowych do analizy zagadnień, związanych z podziałem zasobów w systemach opieki zdrowotnej. Przedyskutowano użyteczność tych metod do rozwiązywania szczegółowych problemów dotyczących zarządzania zasobami medycznymi.
EN
Various issues referring to general problems of resource allocation in the area of healthcare were discussed in the article. Fundamental questions regarding the process of allocating healthcare resources were pointed out. The topics were presented according to the categories of methods used to potentially solve these problems. The following approaches were considered: chosen methods of mathematical programming, queuing theory, simulation, hybrid algorithms combining, among others, artificial intelligence and other techniques, as well as standard cost-effectiveness methods. Such methods were applied to the following problems: analyzing the current state of health care units and presenting proposals of changes to such systems. The modifications suggested referred to: allocation of material resources, planning the work schedules of medical personnel and patient admission. The question of determining the effectiveness of various medical strategies was also discussed. The article clearly underlined the importance and complexity of the problem of managing healthcare resources.
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