Selection of enterprise resource planning software using analytic hierarchy process

2019 ◽  
Vol 13 (6) ◽  
pp. 895-915 ◽  
Author(s):  
Ricardo M. Czekster ◽  
Thais Webber ◽  
Alessandra H. Jandrey ◽  
César Augusto Missio Marcon
Keyword(s):  
Analytic Hierarchy Process ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Analytic Hierarchy ◽  
Planning Software ◽  
Hierarchy Process ◽  
Selection Of

Analytic Hierarchy Process for Selection of Erp Software for Manufacturing Companies

2008 ◽  
Vol 12 (4) ◽  
pp. 1-11 ◽  
Author(s):  
H. S. C. Perera ◽  
W. K. R. Costa
Keyword(s):  
Analytic Hierarchy Process ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Manufacturing Companies ◽  
Erp Systems ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Erp Software ◽  
Hierarchy Process ◽  
Selection Of

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.

An ERP selection using a hybrid methodology

2020 ◽  
Vol 20 (3) ◽  
pp. 689-695
Author(s):  
Teresa Pereira ◽  
Fernanda A. Ferreira
Keyword(s):  
Enterprise Resource Planning ◽  
Value Function ◽  
Pairwise Comparison ◽  
Resource Planning ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Industrial Context ◽  
Selection Of

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.

scholarly journals Identificação e priorização dos fatores críticos de sucesso na implantação de fábrica digital

Production ◽  
2010 ◽  
Vol 20 (4) ◽  
pp. 549-564 ◽  
Author(s):  
Paulo Cesar De Carli ◽  
Maurício César Delamaro ◽  
Valério Antonio Pamplona Salomon
Keyword(s):  
Analytic Hierarchy Process ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Analytic Hierarchy ◽  
Lifecycle Management ◽  
Hierarchy Process

Fábrica digital é um conceito que melhora a colaboração entre os processos de desenvolvimento do produto. Apesar dos benefícios trazidos por esse conceito, falhas podem ocorrer na sua implantação. Este artigo tem por objetivo apresentar os fatores críticos de sucesso na implantação de um projeto de fábrica digital em uma empresa brasileira. Esses fatores foram identificados por meio de uma pesquisa exploratória em implantações de sistemas como o Enterprise Resource Planning e Product Lifecycle Management, entre outros. Depois disso, os fatores foram priorizados, utilizando-se os métodos Delphi e Analytic Hierarchy Process, por profissionais de empresas que implantam projetos de fábrica digital, no Brasil e exterior. Foram identificados nove fatores, sendo os cinco de maior prioridade: apoio e comprometimento contínuo da alta gerência; abrangente reengenharia do negócio; parceiros com conhecimento e experiência; participação e comprometimento do usuário; e adequado papel do líder do projeto.

DETERMINING THE DESALINATION UNIT COMPOSITION FOR COSTAL AREAS AND SMALL ISLANDS USE ANALYTIC HIERARCHY PROCESS

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Imam Setiadi ◽  
Dinda Rita K. Hartaja
Keyword(s):  
Analytic Hierarchy Process ◽  
Energy Demand ◽  
Pairwise Comparison ◽  
Small Islands ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Comparison Research ◽  
Hierarchy Process ◽  
Selection Of

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

SELEKSI ASISTEN PELATIH BELA DIRI DENGAN PERBANDINGAN METODE AHP (Analytic Hierarchy Process) DAN METODE SAW (Simple Additive Weighting)

2016 ◽  
Vol 1 (1) ◽  
pp. 088
Author(s):  
Wahyu Joni Kurniawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytic Hierarchy ◽  
Assistant Coach ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Selection Of ◽  
Discipline Knowledge

This study was conducted to assist in the selection of martial assistant coach, to determine who is right. Its results will didadaptkan by comparing the two methods in the decision support system, by using the Analytic Hierarchy Process (AHP) and the Simple Additive Weight (SAW) in limiting the problems in producing the desired solution, using multiple criteria (multi-criteria). AHP and SAW has a different way of doing the calculation. This is done to determine which method is looking for help in making decisions. And in this study are the criteria Discipline, Knowledge, Leadership, Attitude, and Level. And there are sub criteria on Level, which Black (AND I) and Red Black II.

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