Functionalities-Based ERP Class System Implementation and Development

Author:

Stachowiak Agnieszka1ORCID,Ragin-Skorecka Katarzyna1,Wojciechowski Hubert1ORCID,Misztal Agnieszka1,Motała Daria1ORCID,Wojtkowski Robert2

Affiliation:

1. Faculty of Engineering Management, Poznan University of Technology, 60-965 Poznan, Poland

2. Gardens Software, 60-324 Poznan, Poland

Abstract

Background: The main objective of the study is to facilitate the development and implementation of customised ERP systems by defining an ontology based on mutually exclusive database schemas for various business needs, resulting from the type of activity and the specificity of the market and industry. The need arises from the contradicting duality of the approach, indicating the need to choose between adapting standard solutions to the requirements of specific customers and developing new systems. Methods: Data on the schemes for processes performed and information needed and produced were collected from seventeen companies. The aggregate and synthesis of the research data was carried out to identify common and area-specific solutions. The SOL concept was introduced and implemented. Results: As a result, an ontology providing a universal approach to the analysis of processes was developed in order to automatically describe business processes by assigning companies to business models. Conclusions: The effect of the work on the indicated stage of the project is the development of a knowledge base containing standard models of the ERP class system built of many components. The solution to the research task is an ontology containing the developed structures and mechanisms to allow one to select the system functionality depending on the problems identified in the enterprises.

Funder

GAMSmart

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference52 articles.

1. Ontology-based systems engineering: A state-of-the-art review;Yang;Comput. Ind.,2019

2. Ontology Supporting Model-Based Systems Engineering Based on a GOPPRR Approach;Rocha;New Knowledge in Information Systems and Technologies,2019

3. Development methodologies for ontology-based knowledge management systems: A review;Mora;Expert Syst.,2022

4. Dong, M., Lu, J., Wang, G., Zheng, X., and Kiritsis, D. (2022, January 25–28). Model-based Systems Engineering Papers Analysis based on Word Cloud Visualization. Proceedings of the 2022 IEEE International Systems Conference (SysCon), Montreal, QC, Canada.

5. Jones, D., Bench-Capon, T., and Visser, P. (September, January 31). Methodologies for Ontology Development. Proceedings of the IT&KNOWS Conference, XV IFIP World Computer Congress, Budapest, Hungary.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3