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Showing 8 results for Ahp

Masoud Narenji, Ahmad Makui, Mehdi Fathi ,
Volume 20, Issue 4 (4-2010)

Nowadays, interval comparison matrices (ICM) take an important role in decision making under uncertainty. So it seems that a brief review on solution methods used in ICM should be useful. In this paper, the common methods are divided into four categories that are Goal Programming Method (GPM), Linear Programming Method (LPM), Non-Linear Programming Method (NLPM) and Statistic Analysis (SA). GPM itself is divided also into three categories. This paper is a review paper and is written to introduce the mathematical methods and the most important applications of ICM in decision making techniques.
Amin Parvaneh, Mohammadjafar Tarokh, Hossein Abbasimehr,
Volume 25, Issue 3 (7-2014)

Data mining is a powerful tool for firms to extract knowledge from their customers’ transaction data. One of the useful applications of data mining is segmentation. Segmentation is an effective tool for managers to make right marketing strategies for right customer segments. In this study we have segmented retailers of a hygienic manufacture. Nowadays all manufactures do understand that for staying in the competitive market, they should set up an effective relationship with their retailers. We have proposed a LRFMP (relationship Length, Recency, Frequency, Monetary, and Potential) model for retailer segmentation. Ten retailer clusters have been obtained by applying K-means algorithm with K-optimum according Davies-Bouldin index on LRFMP variables. We have analyzed obtained clusters by weighted sum of LRFMP values, which the weight of each variable calculated by Analytic Hierarchy Process (AHP) technique. In addition we have analyzed each cluster in order to formulate segment-specific marketing actions for retailers. The results of this research can help marketing managers to gain deep insights about retailers.
Dr Akbar Esfahanipour, Mr Hamed Davari Ardakani,
Volume 26, Issue 4 (11-2015)

In today’s competitive business situation, performance evaluation of firms is an extremely important concern of all the people who are typically stakeholders of the business game. In case of holding companies, this is a more important issue since the parent firm must permanently control the situation of its subsidiaries in their sectors to make appropriate investment decisions. This paper develops a multicriteria decision making (MCDM) approach for evaluating performance of firms considering financial and productivity criteria.. We adopt Fuzzy Analytic Hierarchy Process (FAHP) method to determine the relative importance of evaluation criteria, taking the vagueness and imprecision of human judgments into consideration. Then, we employ the Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) for ranking of firms. Afterward, this paper enjoys benefit of using Technique of Order Preference by Similarity to Ideal Solution (TOPSIS) to assess the validity of the obtained ranking results. Our approach was applied to a holding company listed in Tehran Stock Exchange (TSE) as a real case. The analysis of ranking results revealed advantages of combining these MCDM methods.


Ali Salmasnia, Ebrahim Ghasemi, Hadi Mokhtari,
Volume 27, Issue 4 (12-2016)

This study aims to select optimal maintenance strategy for components of an electric motor of the National Iranian Oil Refining and Distribution Company. In this regard, a method based on revised multi choice goal programming and analytic hierarchy process (AHP) is presented. Since improving the equipment reliability is an important issue, reliability centered maintenance (RCM) strategies are introduced in this paper. Furthermore, on one hand, we know that maintenance cost consists of a considerable percentage of production cost; on the other hand, the risk of equipment failure is a main factor on personnel’s safety. Consequently, the cost and risk factors are selected as important criteria of maintenance strategies.

- S. Ali Torabi, - Abtin Boostani,
Volume 29, Issue 1 (3-2018)

This paper addresses supplier selection and order allocation problem while considering the losses arising from the risk of sanction in Iran’s Oil & Gas Drilling Industry. In the proposed study, two general classes of items and two different classes of suppliers are considered. AHP is first used to rank the potential suppliers. Then, a multi-objective linear programming model is proposed to determine the best suppliers and their allocated orders. A numerical example is presented to demonstrate the applicability of the proposed model.

Oleh Kuzmin, Oksana Zhyhalo, Kateryna Doroshkevych,
Volume 31, Issue 4 (11-2020)

Innovative capacity as a potential ability of an enterprise to innovative development is manifested in the process of formation and realization of an innovative product, which can be embodied in various forms. In the article innovation capacity is considered as a complex concept that covers the innovative output of the enterprise and the reserve for providing innovative capacity, which can make the difference between the innovative capacity and the current state of the innovative output of the enterprise.
In order to improve the level of management processes in the enterprise, the article improves the method of evaluation the innovative capacity, which is based on the use of a three-dimensional space model of the dependence of the innovative capacity on the level of loading vectors of technique of the enterprise (X-axis), applied innovative technologies (Y-axis) and resources (Z-axis) using AHP-model (analytical-hierarchical process model) and certain functional dependencies that indicate the state of innovative capacity of the enterprise and allow to identify the reserve for providing innovative capacity.
The system of indicators designed to measure the enterprise's innovation capacity is developed on the basis of the AHP-model (analytical-hierarchical process model), which contains two levels: 1) partial indicators designed to assess the level of loading of vectors of the three-dimensional space model of the enterprise's innovation capacity; 2) generalized indicators by which the level of innovation capacity is determined. The article uses the relative weight of indicators, which is calculated by forming a matrix of judgments and evaluating the components of the vector of its priorities.
Harwati Harwati, Anna Maria Sri Asih, Bertha Maya Sopha,
Volume 34, Issue 3 (9-2023)

In recent years, research on halal supply chain resilience (HSCRES) has been growing to deal with the vulnerabilities caused by halal risks that disrupt global halal supply chains. However, empirical studies in this field have been hindered by the lack of identifying halal capabilities that represent the strength of HSCRES. This study aimed to determine and prioritize halal resilience capability. In the first step, extant literature is reviewed to identify capability factors in the context of the halal supply chain. In the second step, the fuzzy analytical hierarchy process (FAHP) approach was used to rank the halal capability indicators. The results of this study indicate that halal integrity is the most important capability factor in enhancing a resilient halal supply chain. The results also reveal that mandatory regulation is the most significant indicator in HSCRES, followed by halal teams, official halal logos, internal halal audits, and communication channels. This finding offers stakeholder recommendations on which capabilities should be prioritized to reduce the impact of halal risks that disrupt supply chains’ resilience
Dede Rukmayadi, Yayan Saputra, Rifki Muhendra, Zulfa Fitri Ikatrinasari,
Volume 35, Issue 1 (3-2024)

Although the existence of swimming pools is very important for people who need to exercise or just have fun with their families, there are still few studies conducted to explore how to analyze the strategic planning of swimming pool companies in order to grow and develop. For this reason, this research will carry out strategic planning for the company Oasis Pool. The research stage consists of analyzing the internal and external strategies of the Oasis Pool company using the AHP SWOT method. In the second stage, a structural analysis of Oasis Pool's corporate strategy is carried out using the interpretative structural modeling (ISM) method. The results showed that the most appropriate strategy in the development of Oasis Pool's business is a growth strategy. This strategy can be implemented by maximizing fast response services and always maintaining spare parts availability to increase customer satisfaction. Furthermore, the key element of the strategy that will determine the success of Oasis Pool's corporate strategic planning is to maintain fast response to improve service quality. In order to maintain Oasis Pool's business to grow and develop and win the market competition, it is necessary to do the following things such as: design a good work system, active management to make improvements and innovations and keep up with technological developments. The main contribution of this article is to assist swimming pool managers such as Oasis Pool in carrying out effective strategic planning using AHP - SWOT and ISM methods.

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