An ERP selection using a hybrid methodology

2020 ◽  
Vol 20 (3) ◽  
pp. 689-695
Author(s):  
Teresa Pereira ◽  
Fernanda A. Ferreira

With this work, we developed a multi-criteria decision-making model to assess and select an Enterprise Resource Planning (ERP), using a multi-criteria decision analysis (MCDA). A hybrid multi-criteria methodology is used for the assessment and selection of an ERP, combining the MMASSI/IT methodology, which is used to both define the relevant family of criteria, based on their features and flexibility to change and adapt to a given scope, and the weight of criteria. Then, the well-known Analytic Hierarchy Process (AHP) methodology is used to perform the decision-makers’ value function elicitation preference of alternatives pairwise comparison in each criterion. The additive aggregation is used to compute the alternatives global score. The proposed hybrid model was validated in an industrial context by three Decision-makers.

2019 ◽  
Vol 13 (6) ◽  
pp. 895-915 ◽  
Author(s):  
Ricardo M. Czekster ◽  
Thais Webber ◽  
Alessandra H. Jandrey ◽  
César Augusto Missio Marcon

Author(s):  
Ahmet Çalık ◽  
Bilge Afşar

In Turkey, since March 2020, the pandemic process caused changes in the bank selection of consumers as it affected all other activities. Prioritization of bank selection criteria is a multi-criteria decision-making (MCDM) problem with conflicting criteria. In this study, the Pythagorean fuzzy analytic hierarchy process (PFAHP) is used to prioritize the selection criteria, it is aimed to provide more freedom for decision-makers in expressing their opinions. Not only quantitative criteria such as interest rate, ATM, and number of branches, but also the environmental and social impacts of the pandemic, the nine main criteria have been determined. As a result of interviews with different sectors, it was found that the loan interest rate is the most important criterion. The results were compared with different classical and fuzzy AHP methods, and it was found that the PFAHP method produced reliable and informative results that better represented the uncertainty of the decision-making process.


2008 ◽  
Vol 12 (4) ◽  
pp. 1-11 ◽  
Author(s):  
H. S. C. Perera ◽  
W. K. R. Costa

Enterprise Resource Planning (ERP) systems are popular as an IT enabled tool, which integrates different functional areas of business. ERP systems are implemented as a total business solution that supports major functionalities of business. However, many of the implementations are not success stories. Most post implementation problems are due to the inappropriate selection of systems. This paper describes multi-criteria decision model using Analytic Hierarchy Process for the selection of ERP systems for manufacturing companies. First, ERP evaluation criteria are developed by using past literature and through a questionnaire distributed among Sri Lankan manufacturing companies. Seven major criteria are identified and under each criterion several sub-criteria are identified. Selection of the best suited ERP system leads to a multi-criteria decision making problem as ERP systems should be evaluated based upon many criteria. Using the identified main and sub criteria, an Analytic Hierarchy Process (AHP) model is developed for ranking the ERP software. An example of a case is presented to show the actual implementation of AHP model. Expert Choice software is used to solve this AHP model.


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


2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.


Author(s):  
Swapnil Lahane ◽  
◽  
Himanshu Prajapati ◽  
Ravi Kant ◽  
◽  
...  

This research aims to evaluate and rank the Circular Supply Chain (CSC) enablers for the effective implementation of CSC management. From the literature and input received from industrial experts, 30 CSC enablers are identified. Further, the selected CSC enablers are classified into seven main categories. This research employs the Pythagorean fuzzy analytic hierarchy process (PF-AHP) technique to prioritize the selected CSC enablers based on pairwise comparison of criteria and sub-criteria. The effectiveness of the proposed method is illustrated with the help of responses received from an Indian manufacturing industry. The result reveals that global climate pressure and ecological scarcity of resources is the most significant enabler and the environment management certifications and systems is the least important enabler. The result of the present study will assist the practitioners / decision makers in implementing CSC in manufacturing organizations by adopting the ranking obtained in a systematic way.


2012 ◽  
Vol 538-541 ◽  
pp. 895-900 ◽  
Author(s):  
Han Chen Huang

A number of factors must be considered when selecting a convention site. Typically, most selections are based on the decision makers’ knowledge and experience, which may lead to biased decisions based on the decision makers’ subjective judgment. This study establishes decision-making evaluation factors and attributes for convention site selection based on a literature review. After surveying experts’ opinions using questionnaires, we employed the fuzzy analytic hierarchy process (FAHP) to analyze the weighting of the factors and attributes. The results show that of the five evaluation factors, site environment is the most important, followed by meeting and accommodation facilities, local support, extraconference opportunities, and costs. Additionally, the five most important attributes among the 20 evaluation attributes are the suitability of convention facilities, suitability and quality of local infrastructure, climate, city image, and political conflict or terrorist threats.


2012 ◽  
Vol 7 (2) ◽  
pp. 59-70
Author(s):  
Martina Zeleňáková ◽  
Ibrahim Gargar ◽  
Pavol Purcz

Abstract Environmental hazards (natural and man-made) have always constituted problem in many developing and developed countries. Many applications proved that these problems could be solved through planning studies and detailed information about these prone areas. Determining time and location and size of the problem are important for decision makers for planning and management activities. It is important to know the risk represented by those hazards and take actions to protect against them. Multicriteria analysis methods - Analytic hierarchy process, Pairwise comparison, Ranking method are used to analyse which is the most dangerous hazard facing Libya country. The multicriteria analysis ends with a more or less stable ranking of the given alternatives and hence a recommendation as to which alternative(s) problems should be preferred. Regarding our problem of environmental risk assessment, the result will be a ranking or categorisation of hazards with regard to their risk level.


2012 ◽  
Vol 39 (8) ◽  
pp. 855-866 ◽  
Author(s):  
Mirian Picinini Méxas ◽  
Osvaldo Luiz Gonçalves Quelhas ◽  
Helder Gomes Costa

In this study, as a first step, a set of criteria and subcriteria was proposed for enterprise resource planning (ERP) systems selection for companies in the civil construction industry that is based on a review of the literature concerning the application of multicriteria models for evaluating ERP systems. Subsequently, after validation of these criteria by a group of information technology specialists, a field survey was developed based on the administration of a questionnaire and the use of the analytic hierarchy process. This survey enabled us to perform an analysis of the judgment consistency of the 11 respondents who participated in this study and to capture their perceptions of criteria importance. The survey revealed that respondents considered the software criterion to be the most important and showed the importance of subcriteria within groups of criteria, which greatly contributed to the decision-making process in ERP systems selection.


2020 ◽  
Vol 12 (18) ◽  
pp. 7418
Author(s):  
Soyoung Kim ◽  
Boyoung Kim

This study was conducted to present a consumer acceptance model for artificial intelligence (AI)-generated news articles in review of the most significant factors in the context of accepting AI-generated news articles. To this end, a survey was conducted regarding five key factors among individuals handling news production at media organizations who were familiar with AI-related news: benefits of technology utilization, recognized values, media reliability, content quality, and information perception. These factors were classified into 19 specific evaluation items in order to determine relative importance. According to the results of pairwise comparison analysis among elements through the analytic hierarchy process, hereunder referred to as AHP (analytic hierarchy process), it turned out that the importance of media reliability and content levels was relatively high, while the importance of recognized values and information perception was relatively low. It also turned out that among 19 specific items, the importance of institutional reliability, which was a subordinate item under media reliability, was of utmost value. Even if news articles were based on AI technology, their readers were more likely to be affected by reliability, which is a major attribute of journalism, than technical factors.


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