ERP System Selection Research Articles

Development of an ERP System Design Course to Improve Students' Learning Outcomes

This paper describes the design and evaluation of an ERP system design course, which utilizes experiential learning theory along with open ERP sys-tem to provide the students with a holistic and cost-free learning environ-ment. The objective of the course is to familiarize students with the ERP se-lection and implementation life-cycle. When designing the pedagogical framework, the goal was to help students, especially those with little to no working experience to acquire the necessary knowledge, and develop the practical technical experience. Additionally, it was necessary to help students appreciate the depth and issues involved in the ERP system selection and implementation life-cycle. Lectures, case discussions, system demos with interactive labs, and group projects were used all together to enable in depth learning of the proposed topics. We focus on open source ERP system to provide the students with the required hands-on experience, and also to demonstrate that such approach can be utilized even by low resource universities. This paper includes details of the proposed framework. The proposed framework was taught and evaluated in a 1-semester graduate level course at the university of Jeddah, in Jeddah, Saudi Arabia. The course design was in-directly assessed using a survey, and the results revealed the positive impact that the proposed framework had on students’ learning outcomes. The results of the assessment support that experiential based learning using open source ERP systems can lead to improved learning outcome.

ERP selection using picture fuzzy CODAS method

The purpose of this study is to develop an extension of CODAS method using picture fuzzy sets. In this respect, a new methodology is introduced to figure out how picture fuzzy numbers can be applied to CODAS method. COmbinative Distance-based Assessment (CODAS) is a new MCDM method proposed by Ghorabaee et al. Picture fuzzy sets (PFSs) are a new extension of ordinary fuzzy sets for representing human’s judgments having possibility more than two answers such as yes, no, refusal and neutral. Compared with other studies, the proposed method integrates multi-criteria decision analysis with picture fuzzy uncertainty based on Euclidean and Taxicab distances and negative ideal solution. ERP system selection problem is handled as the application area of the developed method, picture fuzzy CODAS. Results indicate that the new proposed method finds meaningful rankings through picture fuzzy sets. Comparative analyzes show that the presented method gives successful and robust results for the solutions of MCDM problems under fuzziness.

A comparative analysis of the ERP tools, Odoo and Openbravo, for business management.

The comparative analysis of the two (2) enterprise resource planning (ERP) systems, Odoo and Openbravo, was a research work that began with the characterization of the ERP tools, the description of the general characteristics, the functionalities (hardware and software) and the advantages and disadvantages of each ERP system. The criteria for each aspect evaluated were selected under the ERP System Selection Methodology (MSSE) [1], establishing the weights or ratings for each of the functional, technical, vendor, service and economic aspects of each ERP under study, allowing an individual evaluation and comparison of the two (2) systems with the ultimate goal of selecting the highest scoring tool and defining the degree of coupling with the company in the mining sector in Norte de Santander, Cúcuta Colombia. Finally, the conclusions of the research were presented to the research community, as well as to the bibliographic references studied.

Decision-making model under complex picture fuzzy Hamacher aggregation operators

The paper aims are to propose a new concept called as complex picture fuzzy set (CPFS), as an extension of complex intuitionistic fuzzy set (CIFS). The addition of a neutral membership degree to the definition of CIFS makes CPFS a generalized form of CIFS. The uniqueness of this new theory lies in the capability to attain the wider range with the help of degree of neutral membership, non-membership, and membership. The range of values of membership degrees is broaden to the unit disk in a complex plane. We define elementary operations and properties of CPFSs and explore the MCDM issues with the help of CPFSs, based on Hamacher operations and some aggregation methods. Then, we introduce some operators to aggregate the CPF data, namely complex picture fuzzy Hamacher weighted averaging, ordered weighted averaging, hybrid averaging and complex picture fuzzy Hamacher weighted geometric, ordered weighted geometric and hybrid geometric operators, benefited from the basic Hamacher operations, and averaging, geometric aggregation techniques. We also construct MCDM problem using these operators and perform a calculation for the selection of best ERP system, to demonstrate the authenticity and efficiency of this manuscript. Moreover, we study a comparison to validate the consistency and superiority of our techniques.

An Integrated Intuitionistic Fuzzy MCDM Approach to Select Cloud-Based ERP System for SMEs

ERP system is a software package that integrates and manages all the facets of the business and deeply influences the success of a business endeavor. The increasing competition in the market, rapidly changing demands, and increasing intricacy of business procedures induce enterprises to adopt ERP solutions. Adopting an ERP solution increases synchronization between business activities and reinforces managerial decision-making. However, it also involves a large investment, a significant amount of human resources and time, and risk of failure. Therefore, the selection of an ERP solution is a crucial decision for enterprises. To address this decision-making problem, we propose a four-stage multi-criteria decision-making approach in this paper. Three prevalent MCDM techniques, DEMATEL, IF-ANP, and IF-AHP, are used in different stages of the methodology to achieve better outcomes. The methodology incorporates the intuitionistic fuzzy sets to capture uncertainty and hesitancy involved in decision makers’ judgments. In addition, we develop a novel priority method to derive weights from the intuitionistic fuzzy preference relations. To validate the feasibility of the proposed approach, a case study is carried out on the selection of cloud-based ERP system for SMEs in the Chhattisgarh state of India, which indicates that the proposed four-stage approach effectively handles the ERP selection problem.

The use of ERP systems in didactics of higher education in the era of the concept of Industry 4.0 and Logistics 4.0

The article presents challenges faced by higher education didactics resulting from the development of new concepts, Industry 4.0 and Logistics 4.0. In this context, there is now a research problem in how to conduct the didactic process, to be related to the real issues of the production companies and the TSL industry that occur in the everyday life of a company. The article may be an aid in choosing a modern ERP class system for the needs of the didactic process in a higher education institution, which should support a sequence of integrated procurement processes, production and distribution of goods as part of the Industry 4.0 and Logistics 4.0 concept. The selection process presented in the article should include the formulation of requirements regarding the selection of the appropriate ERP system by the university, the choice of the system and the parameterization of the solution to the specifics of the didactic classes along with the development of the laboratory schedule.

A robust MCDM approach for ERP system selection under uncertain environment based on worst case scenario

PurposeERP selection is a multi-faceted process and needs to be successful in dealing with high uncertainty. The purpose of this paper is to propose a novel multi-criteria decision making (MCDM) approach, titled as cloud-based design optimization (CBDO), for ERP selection problem to handle high uncertainty with a computationally effective way.Design/methodology/approachCBDO has been utilized as an alternative method to fuzzy set theory and stochastic programming, and proposes robust findings for worst case scenario. In order to assess the proposed methodology, a numerical study is conducted by taking into account existing state-of-the-art study on the ERP selection problem for the small medium enterprises. The outputs of the existing state-of-the-art study are assumed as uncertain and varying across time as it is expected in real life; therefore, different scenarios are created in order to reveal the effect of uncertainty on decisions.FindingsIn the methodology, the results given under uncertain conditions are compared with the results obtained under stable conditions. It is clearly seen that ERP system selection problem area has high sensitivity to the uncertain environment, and decision makers should not undervalue the unsteadiness of criteria during the ERP system selection process, especially within volatile economies.Originality/valueThis study contributes to the relevant literature by utilizing CBDO as a MCDM tool in the selection of the ERP software as a first time, and validating the impact of unsteadiness on the ERP selection procedure. It is the first CBDO-based study that validates the effect of distributional differences on uncertainties in the ERP selection processes.

A large-scale data management and application analysis based on advanced classifier computing for the ERP system selection and adoption

A large-scale data management and application analysis based on advanced classifier computing for the ERP system selection and adoption

A Framework for Applying CSFs to ERP Software Selection

The literature review studies on ERP system indicate two main areas of thrust: the study of critical success factors for the risk aversion in ERP implementation projects and the ERP system selection studies. However, ERP system selection is a tedious and a time-consuming activity. The critical success factors (CSFs) serve as vital input ingredients to the ERP selection Models. It is however notable that, that none of the CSFs listing propagated by the researchers find a straightforward application in the selection procedure. The paper bridges the gap between the two thrust areas by proposing a framework for applying the prioritized CSFs listed for direct utilization in the selection process. An exhaustive review on the ERP selection techniques reveals the focus on AHP and/or the Fuzzy Logic approaches to ERP selection problem. A new approach to ERP selection problem with the extensions of the Fuzzy-TOPSIS is subsequently introduced and is illustrated by a solved numerical example. Also, the computational simplicity of the extensions of Fuzzy TOPSIS is demonstrated.

Hesitant Uncertain Linguistic Z-Numbers and Their Application in Multi-criteria Group Decision-Making Problems

This paper introduces hesitant uncertain linguistic Z-numbers (HULZNs) based on Z-numbers and linguistic models. HULZNs can serve as a reliable tool to depict complex and uncertain decision-making information and reflect the hesitancy of DMs. This paper focuses on the development of an innovative method to address multi-criteria group decision-making (MCGDM) problems in which the weight information is incompletely known. Handling qualitative information requires the effective support of quantitative tools, after which the linguistic scale function is employed to deal with linguistic information. First, the operations and distance of HULZNs are defined. Then, two power aggregation operators for HULZNs are proposed. Subsequently, a new MCGDM approach is developed by incorporating the power aggregation operators and the VIKOR model. Finally, an illustrative example of ERP system selection is provided for demonstration, and the feasibility and validity of the proposed method are further verified by sensitivity analysis and comparison with an existing method.

An integrated fuzzy multi criteria group decision making approach for ERP system selection

Decision hierarchy for software selection process has four phases, which includes goal, criteria, sub-criteria and alternatives. This paper ensures an analytical tool to define the most convenient software.Fuzzy AHP determines the weights for criteria of software selection problem.Fuzzy TOPSIS defines the most appropriate alternative in uncertain environment.It decreases the uncertainty and the information loss in group decision making.Further study can focus on interval type 2 fuzzy set to develop a decision support system. This paper aims to ease group decision-making by using an integration of fuzzy AHP (analytic hierarchy process) and fuzzy TOPSIS (technique for order preference by similarity to ideal solution) and its application to software selection of an electronic firm. Firstly, priority values of criteria in software selection problem have been determined by using fuzzy extension of AHP method. Fuzzy extension of AHP is suggested in this paper because of little computation time and much simpler than other fuzzy AHP procedures. Then, the result of the fuzzy TOPSIS model can be employed to define the most appropriate alternative with regard to this firm's goals in uncertain environment. Fuzzy numbers are presented in all phases in order to overcome any vagueness in decision making process. The final decision depends on the degree of importance of each decision maker so that wrong degree of importance causes the mistaken result. The researchers generally determine the degrees of importance of each decision maker according to special characteristics of each decision maker as subjectivity. In order to overcome this subjectivity in this paper, the judgments of decision makers are degraded to unique decision by using an attribute based aggregation technique. There is no study about software selection using integrated fuzzy AHP-fuzzy TOPSIS approach with group decision-making based on an attribute based aggregation technique. The results of the proposed approach and the other approaches are compared. Results indicate that our methodology allows decreasing the uncertainty and the information loss in group decision making and thus, ensures a robust solution to the firm.

A Multi-Attribute Decision-Making Model for Construction Enterprise Resource Planning System Selection

ABSTRACTEnterprise resource planning (ERP) systems are increasingly becoming essential business technologies. Selection of the optimal ERP system among numerous alternatives is regarded as a major challenge for the decision-maker. This choice is complicated by multiple attributes that the decision-maker needs to consider when evaluating different ERP options. The purpose of this article is to propose a multi-attribute decision-making model for ERP system selection based on data envelopment analysis (DEA). The strengths of the proposed DEA model include the input-output framework, which allows decision-makers to incorporate multiple attributes when evaluating different ERP options. These attributes are not required to be congruent. They can be measured by such criteria as monetary sums, time, or subjective score. Additionally, DEA can accommodate a large number of options (i.e., ERP systems) and variables (i.e., attributes). The proposed approach was utilized by a construction contractor to select the optimal ERP option out of eleven alternatives. During the evaluation process, the decision-maker incorporated six attributes to make the decision. These considered attributes are total cost, implementation schedule, functionality, user friendliness, customization capability, and service and support quality. Sensitivity analysis proved that the proposed model is stable and robust.

Using the AHP Method to Select an ERP System for an SME Manufacturing Company

Abstract This paper proposes the application of the Analytic Hierarchy Process method to support decision making regarding the selection of an Enterprise Resource Planning system in a manufacturing company. The main assumption of the work is that the management of the selection of an ERP system should consider that the most important selection criteria are concerned with the functionality of the ERP system. Besides this, the aspects of total cost of ownership, technical support and implementation time or vendor experience are taken into consideration to guarantee a successful ERP implementation. The proposed procedure of an ERP system selection is dedicated for small and medium manufacturing enterprises. A structure of attributes for the AHP method is proposed on the basis of an analysis and identification of critical success factors. Different kinds of production (make-to-stock, make-to-order and engineer-to-order are taken into consideration). Illustrative examples are also given.

Selection Process of ERP Systems

Abstract Background: The application and introduction of ERP systems have become a central issue for management and operation of enterprises. The competition on market enforces the improvement and optimization of business processes of enterprises to increase their efficiency, effectiveness, and to manage better the resources outside the company. The primary task of ERP systems is to achieve the before-mentioned objectives. Objective: The selection of a particular ERP system has a decisive effect on the future operation and profitability of the enterprise. The qualitative correlation between the size of enterprises, market position, etc. and the applied selection criteria for ERP systems should be analysed as to whether which criteria are used at multinational enterprises or at SMEs. Methods/Approach: Our research is grounded in a literature review and case studies of everyday practice related to the introduction, implementation and roll-out of ERP systems. Results: The dominant critical success factor of ERP introduction seems to be “ERP software suitability”, “Information quality”, “ERP vendor quality”. Conclusion: The set of criteria on one hand shows strong correlation with non-functional requirements codified in standards, and on the other hand with usual functional requirements for ERP systems.

A Hybrid MCDM Approach for Solving the ERP System Selection Problem with Application to Steel Industry

Selecting a proper system of Enterprise Resource Planning ERP is a major challenge for enterprise managers. Heavy expenses of incorrect decisions in selection of ERP systems have made academics and...