A Framework for the Selection of ERP Packages for Small to Medium and Large Organizations

2011 ◽  
pp. 206-222 ◽  
Author(s):  
Edward W.N. Bernroider ◽  
Stefan Koch
Keyword(s):  
Decision Making ◽  
Early Stage ◽  
Important Task ◽  
Decision Makers ◽  
Erp Systems ◽  
Erp System ◽  
Formal Procedure ◽  
Erp Software ◽  
Selection Of ◽  
Decision Making Criteria

In this chapter we focus on the early stage of evaluating and selecting an ERP system prior to implementation. Only a part of decision making for ERP systems can be handled by a definite or accepted procedure such as standard investment calculations. There are many other intangible decision-making criteria needing to be judged and evaluated by the decision makers. There is no agreed-upon and formal procedure for this important task (Hecht 1997; Laudon & Laudon, 1998). Therefore it seems necessary to investigate decision-making practices to increase the understanding of this complex and important task. We also focus on the decision-making situation faced by small and medium-sized enterprises (SMEs). This is of particular importance because SMEs are more and more experiencing the need for integration, especially for interorganizational integration, and expecting ERP software to fulfill these needs. The availability of relatively inexpensive hardware is fostering this situation (Gable & Stewart, 1999). In general, decision making in SMEs features much greater constraints on the ability to gather information in order to reduce uncertainty about their investment (Cobham, 2000). Considering ERP software decisions with its complex and far-reaching implications, poor decision making by SMEs can result in disastrous situations.

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

2019 ◽  
Vol 18 (06) ◽  
pp. 1875-1908
Author(s):  
Akshay Hinduja ◽  
Manju Pandey
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Managerial Decision ◽  
Erp System ◽  
Intuitionistic Fuzzy ◽  
Decision Making Problem ◽  
Fuzzy Preference Relations ◽  
Priority Method ◽  
Selection Of

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.

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

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.

ERP software selection using intuitionistic fuzzy and interval grey number-based MACBETH method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mustafa Said Yurtyapan ◽  
Erdal Aydemir
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Selection Process ◽  
Intuitionistic Fuzzy Set ◽  
Decision Makers ◽  
Software Selection ◽  
Content Type ◽  
Intuitionistic Fuzzy ◽  
Expert Opinions ◽  
Erp Software

PurposeEnterprise Resource Planning (ERP) software which is a knowledge-based design on the interconnective communication of business units and information share, ensures that business processes such as finance, production, purchasing, sales, logistics and human resources, are integrated and gathered under one roof. This integrated system allows the company to make fast and accurate decisions and increases its competitiveness. Therefore, for an enterprise, choosing the suitable ERP software is extremely important. The aim of this study is to present new research on the ERP software selection process by clarifying the uncertainties and find suitable software in a computational way.Design/methodology/approachERP selection problem design includes uncertainties on the expert opinions and the criteria values using intuitionistic fuzzy set theory and interval grey-numbers to MACBETH multi criteria decision making method. In this paper, a new interval grey MACBETH method approach is proposed, and the degree of greyness approach is used for clarifying the uncertainties. Using this new approach in which grey numbers are used, it is aimed to observe the changes in the importance of the alternatives. Moreover, the intuitionistic fuzzy set method is applied by considering the importance of expert opinions separately.FindingsThe proposed method is based on quantitative decision making derived from qualitative judgments. The results given under uncertain conditions are compared with the results obtained under crisp conditions of the same methods. With the qualitative levels of experts reflected in the decision process, it is clearly seen that ERP software selection problem area has more effective alternative decision solutions to the uncertain environment, and decision makers should not undervalue the unsteadiness of criteria during ERP software selection process.Originality/valueThis study contributes to the relevant literature by (1) utilizing the MACBETH method in the selection of the ERP software by optimization, and (2) validating the importance of expert opinions with uncertainties on a proper ERP software selection procedure. So, the findings of this study can help the decision-makers to evaluate the ERP selection in uncertain conditions.

scholarly journals ERP Systems Application for Efficient Business Management

2019 ◽  
pp. 481-489 ◽  
Author(s):  
Tatyana Shitova
Keyword(s):  
Information Technologies ◽  
Work Performance ◽  
Business Management ◽  
Economic Benefits ◽  
Enterprise Management ◽  
Erp Systems ◽  
Erp System ◽  
Management Procedures ◽  
Analytical System ◽  
Selection Of

Contemporary ERP systems have various applications. Today, they are successfully used both in material value adding areas and in services rendering / work performance areas. Taking into account the business’ specific features is crucial for selection of software that will automate the activities of each organizational structural unit and the enterprise as a whole. The task of selecting and implementing contemporary ERP systems for business management requires conducting detailed analysis to identify the advantages and drawbacks of their application, as well as determine economic benefits from application of this information and analytical system. In this research, we relied on methods of economic and comparative analysis and used a systemic approach. The main purpose of research is finding arguments proving the practical value of purchasing an ERP system. The paper presents this research containing information on economic benefits that an enterprise could gain after ERP system implementation. According to the author, using a contemporary information and analytical system makes it possible to solve one of the most important tasks – improve business reliability and controllability through application of contemporary information technologies, which is particularly relevant as enterprise management procedures are growing ever more complicated.

ERP Software Selection Based on Intuitionistic Fuzzy VIKOR Method

2019 ◽  
pp. 121-137
Author(s):  
Burak Efe
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Selection Problem ◽  
Final Decision ◽  
Software Selection ◽  
Intuitionistic Fuzzy Numbers ◽  
Fuzzy Vikor ◽  
Intuitionistic Fuzzy ◽  
Erp Software ◽  
Unique Decision

This chapter uses intuitionistic fuzzy VIKOR (IFVIKOR) for the application of ERP software selection. First, priority values of criteria in ERP software selection problem have been determined by using the judgments of the experts. IFWA operator is utilized to integrate the judgments of the experts about the weights of criteria. Then, the result of the IFVIKOR can be employed to define the most appropriate ERP alternative in uncertain environment. Intuitionistic fuzzy numbers are presented in all phases in order to overcome any vagueness in the decision-making process. The final decision depends on the degree of importance of each decision so that wrong degree of importance causes the mistaken result. The researchers generally determine the degrees of importance of each decision makers according to special characteristics of each decision maker as subjectivity. In order to overcome this subjectivity in this chapter, the judgments of decision makers are degraded to unique decision by using the importance degree of each expert. There is no study about ERP software selection using IFVIKOR.

An Investigation of Enterprise Resource Planning Implementation in a Small Firm

2013 ◽  
pp. 57-80
Author(s):  
Magdy Abdel-Kader ◽  
Thu Phuong Nguyen
Keyword(s):  
Decision Making ◽  
Small Firm ◽  
Enterprise Resource Planning ◽  
Implementation Process ◽  
Resource Planning ◽  
Erp Systems ◽  
Erp Implementation ◽  
Erp System ◽  
Small Organizations ◽  
Selection Processes

Enterprise Resource Planning (ERP) systems have been recognized as complex and costly, which limited their implementation in large organizations. However, an increasing number of small organizations have recently gained interest in this system. This paper investigates the implementation process of ERP in a small firm. The investigation focused on two perspectives of ERP implementation: successes achieved and problems encountered. Despite many problems encountered in the firm, the ERP system still exists. This gives evidence that small organizations are more flexible and motivated to adapt to change and implement an ERP system. Most problems were encountered at early stages of implementation, which can be minimized if deliberate decision making of ERP implementation and proper selection processes were in place. Further, ERP is a good solution for small organizations if they are able to build a relevant in-house system.

Material Selection Using a Novel Multiple Attribute Decision Making Method

2012 ◽  
pp. 252-266
Author(s):  
R. V. Rao ◽  
B. K. Patel
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Decision Maker ◽  
Design Process ◽  
Material Selection ◽  
Multiple Attribute Decision Making ◽  
Decision Makers ◽  
Selection Problem ◽  
Multiple Attribute ◽  
Selection Of

Selection of a most appropriate material is a very important task in design process of every product. There is a need for simple, systematic, and logical methods or mathematical tools to guide decision makers in considering a number of selection attributes and their interrelations and in making right decisions. This paper proposes a novel multiple attribute decision making (MADM) method for solving the material selection problem. The method considers the objective weights of importance of the attributes as well as the subjective preferences of the decision maker to decide the integrated weights of importance of the attributes. Furthermore, the method uses fuzzy logic to convert the qualitative attributes into the quantitative attributes. Two examples are presented to illustrate the potential of the proposed method.

Unrest Produces Creativity

2011 ◽  
pp. 162-205
Author(s):  
Chetan Sankar ◽  
Karl-Heinz Rau
Keyword(s):  
Robert Bosch Gmbh ◽  
Erp Systems ◽  
Erp System ◽  
Erp Software ◽  
A Company

• Understand in detail how an ERP system can be implemented in differing ways in a company, with resulting benefits and problems • To show with a detailed industry example how if an ERP software is not implemented correctly, it may lead to multiple ERP systems existing within an organization that cannot communicate with each other • Understand decisions that were made at Robert Bosch GmbH and RBUS regarding SAP R/3 implementation between 1992-1999

scholarly journals Treatment selection of early stage non-small cell lung cancer: the role of the patient in clinical decision making

BMC Cancer ◽  
2018 ◽  
Vol 18 (1) ◽  
Author(s):  
S. Mokhles ◽  
J. J. M. E. Nuyttens ◽  
M. de Mol ◽  
J. G. J. V. Aerts ◽  
A. P. W. M. Maat ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Decision Making ◽  
Small Cell Lung Cancer ◽  
Clinical Decision Making ◽  
Early Stage ◽  
Clinical Decision ◽  
Small Cell ◽  
Small Cell Lung ◽  
Selection Of

scholarly journals Investigating the role of natural phyto-oestrogens on bone health in postmenopausal women

2003 ◽  
Vol 89 (S1) ◽  
pp. S87-S99 ◽  
Author(s):  
Silvia Valtueña ◽  
Kevin Cashman ◽  
Simon P. Robins ◽  
Aedin Cassidy ◽  
Alwine Kardinaal ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Trials ◽  
Bone Loss ◽  
Postmenopausal Women ◽  
Bone Health ◽  
Early Stage ◽  
Daily Intake ◽  
Present Knowledge ◽  
Selection Of

Research on the bone effects of natural phyto-oestrogens after menopause is at a relatively early stage. Published studies are few, difficult to compare and often inconclusive, due in part to design weaknesses. Currently, many questions remain to be answered including to what extent a safe daily intake may prevent postmenopausal bone loss. These questions can only be addressed by conducting well-planned, randomised clinical trials that take into consideration present knowledge in the oestrogen, phyto-oestrogen and bone fields. This review is intended to provide hints for critical decision-making about the selection of subjects, type of intervention, suitable outcome measures and variables that need to be controlled.

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