scholarly journals A MODEL FOR BUSINESS PERFORMANCE IMPROVEMENT: A CASE OF THE POSTAL COMPANY

2020 ◽  
Vol 21 (2) ◽  
pp. 564-592 ◽  
Author(s):  
Dragan Lazarević ◽  
Momčilo Dobrodolac ◽  
Libor Švadlenka ◽  
Bojan Stanivuković

The aim of this paper is to propose a management model which would assess the state of the business and indicate the improvement points, as well as to demonstrate the applicability of the model in a case of the postal company. An A’BA model is proposed which represents a combined application of Analytic Hierarchy Process – AHP method as a multi-criteria decision making tool and theory of business areas. The research consists of two parts. To define the most important influencing factor on business performance, the experts are interviewed. A new concept is proposed and applied in the process of aggregating experts’ assessments based on their mapping in a plane. This creates the appropriate surface, and the position of its centroid in relation to the Saaty’s scale defines the final score of pairwise comparison - an indicator of the relationship between two elements that are compared. In the second part, additional experts from the determined area are involved to define an approach for detailed analysis of the most important factor. In this case, the approach included a survey of employees based on the specialized questionnaire. The guidelines for business performance improvement are obtained.The aim of this paper is to propose a management model which would assess the state of the business and indicate the improvement points, as well as to demonstrate the applicability of the model in a case of the postal company. An A’BA model is proposed which represents a combined application of Analytic Hierarchy Process – AHP method as a multi-criteria decision making tool and theory of business areas. The research consists of two parts. To define the most important influencing factor on business performance, the experts are interviewed. A new concept is proposed and applied in the process of aggregating experts’ assessments based on their mapping in a plane. This creates the appropriate surface, and the position of its centroid in relation to the Saaty’s scale defines the final score of pairwise comparison - an indicator of the relationship between two elements that are compared. In the second part, additional experts from the determined area are involved to define an approach for detailed analysis of the most important factor. In this case, the approach included a survey of employees based on the specialized questionnaire. The guidelines for business performance improvement are obtained.

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Imam Setiadi ◽  
Dinda Rita K. Hartaja

Selection of the appropriate composition desalination units can be done with a variety of method approaches, one of the method is the Analytic Hierarchy Process. In determining the desalination unit with AHP method to consider is setting a goal, an alternative criteria and pairwise comparison. Research for the determination of the exact composition of the desalination unit in order to achieve sustainable drinking water suppy in coastal areas and small islands has been conducted. The results of the study are as follows, the energy demand of 50.83%, operator costs of 26.64%, maintenance costs of 14.13% and chemical requirement 8.4%. For an alternative composition desalination unit of RO 10 m3 / day is the best alternative composition with value of 59.61%, the composition of the next alternative is RO 20 m3/ day of 30.40% and the last alternative of the desalination unit composition is RO 120 m3/ day of 09.99%.Key words : Desalination, Mukti Stage Flash Composition, AHP


2020 ◽  
Vol 10 (4) ◽  
pp. 79-87
Author(s):  
V.M. Romanchuk

The Analytic hierarchy process (AHP) is a popular method for solving multi-criteria problems. However, the problem of the adequacy of the AHP method is not solved. Opponents of the Analytic hierarchy process believe that the AHP as a whole is erroneous and cannot be applied in practice. Proponents of the method believe that the disadvantages of the method are compensated by a simple measurement procedure. In this paper, a modification of the AHP method is proposed. A mathematical model of measurement is formulated, which contains a built-in mechanism for checking adequacy. moreover, the measurement method is preserved, and the calculation algorithm becomes even simpler. The fact is that the Analytic hierarchy process is based on the assumption that the scale of relations can be obtained by pairwise comparison using numerical judgments based on the absolute scale of numbers. Fechner’s psychophysical law is considered as a justification for the existence of the scale of relations. But there are not one, but two psychophysical laws. The existence of two psychophysical laws is a problem of psychophysics. This problem can be solved by the rating method. To overcome the disadvantages of the Analytic hierarchy process, it is also proposed to use the rating method. The use of the rating method makes it possible to use the fundamental scale of the AHP method. As an example, the problem is solved using the traditional AHP scale.


2019 ◽  
Vol 06 (03) ◽  
pp. 311-328
Author(s):  
N. S. M. Rezaur Rahman ◽  
Md. Abdul Ahad Chowdhury ◽  
Adnan Firoze ◽  
Rashedur M. Rahman

Choosing the best schools from a group of schools is a multi-criteria decision-making (MCDM) problem. In this paper, we have represented a method that uses the fusion of two multi-criteria decision-making methods, Best–Worst Method (BWM) and Analytic Hierarchy Process (AHP), to rank some of the user preferred alternatives. The system considers the choice of the user and the quality of the alternatives to rank them. User preferences on the criteria are taken as inputs in the form of best–worst comparison vectors to measure the choice of the user. These values are applied to calculate the numeric weights of each of the criteria. These weights reflect the preference of the user. A dataset of secondary schools in Bangladesh has been compiled and used for automatic quantitative pairwise comparison on the alternatives to calculate the score of each alternative in every criterion, which reflects its quality in that criterion. These scores are calculated using AHP. The weights of the criteria as well as the scores of these alternatives in those criteria are then used to calculate the final score of the alternatives and to rank them accordingly. An extensive experimental analysis and comparative study is reported at the end of this paper.


Author(s):  
M. R. GHOLAMIAN ◽  
S. M. T. FATEMI GHOMI ◽  
M. GHAZANFARI

The establishment of the priorities from pairwise comparison matrices is the major constituent of the Analytic Hierarchy Process (AHP). However, the number of pairwise comparisons necessary in real problems often becomes overwhelming. In such cases, generally the experts are not able to answer all questions and consequently sparse judgment matrix is generated which caused "equal ranks" and "rank reversal" based on AHP method. In this paper, a new ranking system (FARSJUM) is developed for such sparse judgment matrix. The system is constructed on fuzzy rules and fuzzy reasoning methods. The numerical example of world cup soccer tournament is brought to clarify the performance of the developed system comparing with AHP method in ranking the sparse judgment matrices.


Author(s):  
F. A. Lootsma

Abstract Since decisions are invariably made within a given context, we model relative preferences as ratios of increments or decrements in an interval on the axis of desirability. Next, we sort the ratio magnitudes into a small number of categories, represented by numerical values on a geometric scale. We explain why the Analytic Hierarchy Process (AHP), typically based on a pairwise-comparison method, is concerned with category judgement of ratio magnitudes, whereas the Simple Multi-Attribute Rating Technique (SMART) essentially uses the orders of magnitude of these ratios. This provides a common basis for the analysis of the methods in question and for a cross-validation of their results. The present paper summarizes the basic assumptions and the relationship between the two methods.


Author(s):  
Salimov Vagif Hasan Oglu ◽  
Damirova Javida Rizvan Qizi

The article is devoted to the problem of multi-criteria decision making. As application problem is used the software selection problem. The analysis of existing methods for solving this problem is given. As a method for solving this problem, the most popular fuzzy AHP method (Analytic Hierarchy Process) is proposed. This method use original algorithm for pairwise comparison of criteria and alternatives. The issues of practical implementation of this method are discussed in details. The results of the solution test problem at all stages are presented.


Author(s):  
Mustakim Mustakim ◽  
Novia Kumala Sari ◽  
Jasril Jasril ◽  
Ismu Kusumanto ◽  
Nurul Gayatri Indah Reza

Data mining has two main concepts of data distribution, namely supervised learning and unsupervised learning. The most easily recognizable concepts from data distribution is related to the dataset, with and without target class. Analytic Hierarchy Process (AHP) technique that carries the concept of pairwise comparison able to answer the problem related to the dataset, which is to change unsupervised to be supervised by determining eigenvalue value of each attribute and sub attribute in AHP method. The case study conducted in this issue is related to determining the target classes used to predict the success of a student learning in UIN Suska Riau. The three main attributes are Procrastination, Total Credits (SKS) and Number of Repeated Courses, each having eigenvalues of 0.319; 0.189 and 0.171 which become the feedback in the determination of the Target Timely Graduation (TG) or Possibility of Timely Graduation (PTG). The biggest consistency ratio generated in the AHP case is 9.4% in the GPA attribute. This research recommends that further research should use datasets that have been arranged based on experimental combinations of the three main attributes above, then applied to the classification or prediction algorithm. So that it would obtain a decision of accuracy from data used against the real result on the field.<div style="mso-element: comment-list;"><div style="mso-element: comment;"><div id="_com_2" class="msocomtxt"><!--[if !supportAnnotations]--></div><!--[endif]--></div></div>


2019 ◽  
Vol 3 (2) ◽  
pp. 212
Author(s):  
Yesni Malau ◽  
Ulfa Maulida

In an effort to provide motivation to improve the dedication and performance of the teller, the selection of the best teller is done periodically every year, some criteria that are performance appraisals are discipline, initiative, thorough, friendly, and speed of service, During this time the assessment of tellers by the Branch Manager does not yet have a method that can handle priority problems with many of these criteria so that the Branch Manager often has difficulty in choosing the best employee objectively.For the sake of work efficiency and effectiveness, we need an appropriate decision-making method with the aim to build and provide an alternative to a decision support system that is the Analytical Hierarchy Process (AHP) method,in the AHP method there is the concept of eigen vector for the priority ranking process of each criterion based on a pairwise comparison matrix, this will facilitate the process of selecting the best teller because the concept is simple, easy to understand,the computation is efficient and has the ability to measure performance and alternative decisions in a simple mathematical form,so that we will get the best teller who deserves to get the best teller (bonus) allowance and a better career path in the future. And application programs are made in order to facilitate the application of the use of the AHP method when implemented.


2018 ◽  
Vol 65 ◽  
pp. 01002
Author(s):  
Siti Nor Fatimah Zuraidi ◽  
Mohammad Ashraf Abdul Rahman ◽  
Zainal Abidin Akasah

This paper examines the criteria and attributes for assessing defects in a heritage building. The goal of this paper is to solve element type for building defects by using the Analytic Hierarchy Process (AHP). A survey questionnaire was develop based on the identified criteria and attributes of defect for a heritage building in Malaysia. The survey questionnaire was administered to consultants, academics, and contractors. A total of 20 expert panels was selected to determine the element of the defect in building performance. The sensitivity analysis of alternative ratings in respect to difference pairwise comparisons of the criteria and attribute was carried out. By changing one element in the pairwise comparison matrix, the process of defect element is monitored thus enabling possible improvements. An overall ranking of the Hierarchy priorities of criteria and attribute was a result of the AHP analysis. The result of the research is weightage for each criterion and its respective attributes. The criteria and attributes will be used as elements to develop a strategic heritage building performance procedure in Malaysia.


2021 ◽  
Vol 13 (24) ◽  
pp. 13932
Author(s):  
Irina Canco ◽  
Drita Kruja ◽  
Tiberiu Iancu

Decision making is a significant responsibility for business managers, their decisions impacting business performance. Managers are therefore interested in acquiring and implementing reliable methods for making decisions both now and in the future. Currently, in the countries in the Albanian-speaking regions of the Western Balkans, intuitive decision-making methods predominate. In order to find appropriate methods for assessing and prioritizing goals, new approaches to decision making should be adopted. Various methods have been developed for multi-criteria decision making. One of these is the Analytic Hierarchy Process (AHP) method—a method which should receive more attention than it has up to now. We would like to show that the AHP method could be of great use in decision making. Through a case study, this paper explores the AHP, a method with three levels in which the identification of decision-making criteria is based on the perceptions of managers and consumers. The paper’s findings offer an important guide for managers to improve decision making and enhance performance in competitive markets.


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