@article { author = {Amouzegar, Hamid Reza and Hajipour, Vahid and Jalali, Sajjad}, title = {An Enterprise Solution in Practice: Issues and Challenges}, journal = {Journal of Applied Intelligent Systems and Information Sciences}, volume = {1}, number = {2}, pages = {64-69}, year = {2020}, publisher = {FANAP Research Center}, issn = {2821-1987}, eissn = {2717-039X}, doi = {10.22034/jaisis.2020.103704}, abstract = {Today’s fierce competition demands an enterprise solution that could integrate all functional parts of an organizations and subsequently disseminate the necessary data to the managers. Despite numerous implementation cases of such total solutions around the globe, it is still an excruciating and risky practice to embed corresponding solutions into a new case. Our paper presents a unique experience of development and deployment of a customized solution in a specific circumstance whose high rate of failure in the implementation phase has been emphasized by previous studies. To embody the sense of adventure, the paper structure is laid out based on the narrative arc of story-telling approach. It starts with providing an exposition and enumerating the rising actions as well as introducing the hero who incites the incident. The paper continues with elaborating the major crisis faced during on implementing such a solution while marking a thrilling climax of surmounting the challenges. Finally, it leads to a happy denouement since a complementary project associated with that enterprise solution is ordered to be accomplished by the hero.}, keywords = {Enterprise Solution,product development,Business Process}, url = {https://journal.research.fanap.com/article_103704.html}, eprint = {https://journal.research.fanap.com/article_103704_31b6046d5f4224b3fac57b5ec951625b.pdf} } @article { author = {Amini, Mohammad and Abukari, Arnold}, title = {ERP Systems Architecture For The Modern Age: A Review of The State of The Art Technologies}, journal = {Journal of Applied Intelligent Systems and Information Sciences}, volume = {1}, number = {2}, pages = {70-90}, year = {2020}, publisher = {FANAP Research Center}, issn = {2821-1987}, eissn = {2717-039X}, doi = {10.22034/jaisis.2020.232506.1009}, abstract = {An Enterprise Resource Planning (ERP) system is a vital component of any successful organization for managing complex business processes. In order to successfully implement ERP solutions, the management and implementers should have a broad understanding of the ERP systems architecture and the specific components which might be required for any business need. In this article, we provide a comprehensive overview of the modern ERP systems architecture and investigate their underlying conceptual and structural models. In addition, we present the most significant technologies and tools used for the modern ERP systems which are provided by leader vendors in the market. Our research work can provide an insight for ERP project managers and consultants on what type of architecture is suitable for their business needs or how the implemented ERP system components work together. Moreover, it can assist ERP software designers to find the right type of software architecture which might satisfy any customer’s changeable needs.}, keywords = {ERP systems,ERP architecture,Three-tier architecture,Service Oriented Architecture,Cloud architecture}, url = {https://journal.research.fanap.com/article_111141.html}, eprint = {https://journal.research.fanap.com/article_111141_81996cb945e1fb3f8c0276afca721c30.pdf} } @article { author = {Kazemi, Abolfazl and Beheshti, Seyed Omid and Nobari, Arash}, title = {A Novel Fuzzy Knowledge-Based System to Measure Cost of Quality}, journal = {Journal of Applied Intelligent Systems and Information Sciences}, volume = {1}, number = {2}, pages = {91-101}, year = {2020}, publisher = {FANAP Research Center}, issn = {2821-1987}, eissn = {2717-039X}, doi = {10.22034/jaisis.2021.258968.1013}, abstract = {In the recent years, Cost of Quality (CoQ), primarily referring to a measure of all the expenditures related to quality and the related imposed costs of not providing it, has been used widely as a technique to calculate the costs and create high quality level products. Depending on the different circumstances under which a competition is launched, uncertainty should be taken into account for CoQ models. In this paper, a novel approach based on a fuzzy knowledge-based system is presented to give increased precision to the traditional methods. Our proposed method evaluates the efficiency of CoQ project’s implementation in different markets with their corresponding characteristics. To demonstrate the adequacy of the proposed methodology, a case study is also investigated in a company which plays a very prominent role in the manufacturing of sewing machines in Iran.}, keywords = {Cost of quality,Fuzzy Knowledge-Based systems,Quality Measuring Systems}, url = {https://journal.research.fanap.com/article_122028.html}, eprint = {https://journal.research.fanap.com/article_122028_90455c741e8543dac012fe809b598530.pdf} } @article { author = {Emami, Mohammad and Lim, Chaiwhan and Mastali, Amir and Hamidi, Mohammad}, title = {Towards Maturity of a Software-based Project Management Methodology Considering a Large-Scale Case Study}, journal = {Journal of Applied Intelligent Systems and Information Sciences}, volume = {1}, number = {2}, pages = {102-107}, year = {2020}, publisher = {FANAP Research Center}, issn = {2821-1987}, eissn = {2717-039X}, doi = {10.22034/jaisis.2021.269966.1020}, abstract = {This paper explores the challenges of designing a project management methodology for a real large-scale enterprise solution. In this methodology, the performance of the classical waterfall approach versus a new hybrid one are examined in practice. In the hybrid methodology, the analysis and deployment steps of creating an enterprise solution are managed through the classical version while the development step is accomplished under the umbrella of a new Scrum-based version of the agile method. It is also shown that the proposed hybrid methodology is accompanied by new challenges such as the necessity to consider modifications in the organizational chart. The results highlight how the hybrid approach outweighs the classical way in practice. It also includes the required maneuvers of implementing the hybrid approach for the involved parties of a large-scale enterprise solution. Finally, the paper provides managerial insight in the context of applied lesson-learned that could illuminate the complicated path of accomplishing an enterprise solution from A to Z for the future researchers and industrial participants.}, keywords = {Enterprise resource planning,Agile methodology,Software Project Management}, url = {https://journal.research.fanap.com/article_125466.html}, eprint = {https://journal.research.fanap.com/article_125466_07fd209bd9403bbc85e013b0b76701a1.pdf} } @article { author = {Amrbar, Ramin and Badrlou, Hojatollah and Shiani Kalhori, Mansour}, title = {An Empirical Research On Deployment Of Enterprise Resource Planning Systems: A Case Study}, journal = {Journal of Applied Intelligent Systems and Information Sciences}, volume = {1}, number = {2}, pages = {108-117}, year = {2020}, publisher = {FANAP Research Center}, issn = {2821-1987}, eissn = {2717-039X}, doi = {10.22034/jaisis.2021.269964.1019}, abstract = {Implementing enterprise resource planning (ERP) systems is one of the most challenging decisions in any organization. In an attempt to prevent the failure of such an ambitious project, a proper implementation methodology for this solution should be selected and customized according to the conditions of the organization. Therefore, the ERP solution providers apply different approaches and tools to successfully implement ERP solutions. This paper tries to introduce a comprehensive approach to implement and deploy an ERP system. The introduced approach proposes all the necessary measures which need to be adopted in the deployment of enterprise solutions and it can help companies in a structured way to have a successful implementation. This approach has been implemented in a large steel-making company considered as the case study in the present research. The obstacles and challenges of this implementation are fully expressed. The promising results of deployment with such an approach will be described. A key finding in this research is that the integrity and comprehensiveness of deployment could affect the proper performance of ERP implementation.}, keywords = {Enterprise resource planning,deployment,Post-Implementation,Change Management}, url = {https://journal.research.fanap.com/article_125518.html}, eprint = {https://journal.research.fanap.com/article_125518_80f1837b639f84fa5825495e60dce914.pdf} } @article { author = {Reisi, Ehsan and Mahboob Farimani, Hassan}, title = {Authorship Attribution In Historical And Literary Texts By A Deep Learning Classifier}, journal = {Journal of Applied Intelligent Systems and Information Sciences}, volume = {1}, number = {2}, pages = {118-127}, year = {2020}, publisher = {FANAP Research Center}, issn = {2821-1987}, eissn = {2717-039X}, doi = {10.22034/jaisis.2021.269735.1018}, abstract = {One of the important problems that language and literature scholars face is the difficulty of determining the author of the historical and literary texts. Deep learning, the latest available approaches for solving such problems, provides high accuracy results. In this paper, we show how to overcome ownership claims in historical texts by deep learning methods that are designed for text classification. In this regard, we propose a convolution neural network with a four-part architecture and self-attention mechanism to classify texts. In addition, the proposed method increases the accuracy of Author determination up to 2% in comparison with existing methods. Moreover, in our case study, Khān al-Ikhwān, written by Nāsir-i Khusraw, the author determination accuracy was 86%. Although our focus is on Persian historical textbooks through this article, our method can be applied to other languages effectively.}, keywords = {Text Mining,Deep Learning,authorship attribution,Text Classification,Convolutional Neural Networks}, url = {https://journal.research.fanap.com/article_127044.html}, eprint = {https://journal.research.fanap.com/article_127044_bc0c9ce1c7947fe5b9477d6816cd1be4.pdf} }