Handwritten Documents Validation using Pattern Recognition and Transfer Learning

2022 ◽  
Vol 17 (5) ◽  
pp. 0-0
Keyword(s):  
Transfer Learning ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Learning Approach ◽  
Handwritten Documents ◽  
Erp System ◽  
Award Winning ◽  
Different Sources

Handwritten documents in an Enterprise Resource Planning (ERP) system can come from different sources and usually have different designs, sizes, and subjects (i.e. bills, checks, invoices, etc.). Given these documents were filled manually, they have to be inspected to detect various kinds of issues (missing signature or stamp, missing name, etc.) before being saved in the ERP system or processed by an OCR engine. In this paper, the authors present a transfer learning approach to detect issues in scanned handwritten documents, using an award-winning deep convolutional neural network (InceptionV3) and different machine learning algorithms such as Logistic Regression (LR), Support Vector Machine (SVM) and Naive Bayes (NB). The experiment shows that the combination of InceptionV3 and LR got an accuracy of 91.8% for missing stamp detection. This can allow using this approach in an ERP system as an automatic verification procedure in a document processing flow.

scholarly journals Handwritten Documents Validation Using Pattern Recognition and Transfer Learning

2022 ◽  
Vol 17 (5) ◽  
pp. 1-13
Author(s):  
Jadli Aissam ◽  
Mustapha Hain ◽  
Adil Chergui
Keyword(s):  
Transfer Learning ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Learning Approach ◽  
Handwritten Documents ◽  
Erp System ◽  
Award Winning ◽  
Different Sources

Handwritten documents in an Enterprise Resource Planning (ERP) system can come from different sources and usually have different designs, sizes, and subjects (i.e. bills, checks, invoices, etc.). Given these documents were filled manually, they have to be inspected to detect various kinds of issues (missing signature or stamp, missing name, etc.) before being saved in the ERP system or processed by an OCR engine. In this paper, the authors present a transfer learning approach to detect issues in scanned handwritten documents, using an award-winning deep convolutional neural network (InceptionV3) and different machine learning algorithms such as Logistic Regression (LR), Support Vector Machine (SVM) and Naive Bayes (NB). The experiment shows that the combination of InceptionV3 and LR got an accuracy of 91.8% for missing stamp detection. This can allow using this approach in an ERP system as an automatic verification procedure in a document processing flow.

scholarly journals Supplier Evaluation Model on SAP ERP Application using Machine Learning Algorithms

2018 ◽  
Vol 7 (2.28) ◽  
pp. 306
Author(s):  
Manu Kohli
Keyword(s):  
Machine Learning ◽  
Enterprise Resource Planning ◽  
Data Model ◽  
Evaluation Model ◽  
Learning Algorithms ◽  
Resource Planning ◽  
Information Management System ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Supplier Evaluation

For business enterprises, supplier evaluation is a mission critical process. On ERP (Enterprise Resource Planning) applications such as SAP, the supplier evaluation process is performed by configuring a linear score model, however this approach has a limited success. Therefore, author in this paper has proposed a two-stage supplier evaluation model by integrating data from SAP application and ML algorithms. In the first stage, author has applied data extraction algorithm on SAP application to build a data model comprising of relevant features. In the second stage, each instance in the data model is classified, on a rank of 1 to 6, based on the supplier performance measurements such as on-time, on quality and as promised quantity features. Thereafter, author has applied various machine learning algorithms on training sample with multi-classification objective to allow algorithm to learn supplier ranking classification. Encouraging test results were observed when learning algorithms,(DT) and Support Vector Machine (SVM), were tested with more than 98 percent accuracy on test data sets. The application of supplier evaluation model proposed in the paper can therefore be generalised to any other other information management system, not only limited to SAP, that manages Procure to Pay process.  

scholarly journals USING ERP SYSTEM TO TEACH ACCOUNTING COURSES

2021 ◽  
pp. 1-5
Keyword(s):  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Transaction Processing ◽  
Teaching Tool ◽  
Learning Approach ◽  
Managerial Accounting ◽  
Erp Systems ◽  
Erp System ◽  
Hands On ◽  
Accounting Courses

This paper discusses the use of Enterprise Resource Planning (ERP) systems as a teaching tool in Accounting Courses. Students can understand better the accounting cycle and business transaction processing by doing exercises and projects using the ERP system because it clearly shows the complete transaction cycle from the beginning to the end in a systematic and integrated way. Specifically, practical suggestions and usages in the class setting are illustrated based on the SAP system. This hands-on and active learning approach greatly enhances the learning of Accounting Courses such as financial and managerial accounting courses, finance courses, and information systems courses.

Integrating Technology into Marketing Courses via SAP Enterprise Resource Planning (ERP) System

2015 ◽  
Vol 6 (3) ◽  
pp. 424-430
Author(s):  
Shirley M. Stretch-Stephenson ◽  
H. Rika Houston ◽  
Michael A. Germano
Keyword(s):  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Erp System ◽  
Integrating Technology

scholarly journals Evaluating ERP System Merging Success In Chemical Companies: System Quality, Information Quality, And Service Quality

2020 ◽  
Vol 10 (1) ◽  
pp. 282-293
Author(s):  
Ford Lumban Gaol ◽  
Intan Puryasana ◽  
Tokuro Matsuo
Keyword(s):  
Service Quality ◽  
Enterprise Resource Planning ◽  
Information Quality ◽  
Resource Planning ◽  
System Quality ◽  
Erp System ◽  
Implementation Team ◽  
Chemical Company ◽  
Chemical Companies ◽  
It Application

AbstractThis study is aimed to analyze success of the Enterprise Resource Planning (ERP) System Merging in Chemical Company Singapore that acquired two companies. The success component of ERP system success is using DeLone and McLean success model with qualitative method. The research methodology used detail interview with project implementation team, ERP consultants (8 informants) to get more detail from ERP system merging with information and collected supporting data from the ERP system itself. The result shows that ERP System Merging succeed to increase the system quality of Chemical Company which acquired two companies into one ERP system. It was depicted by the increment of easiness on using the system. The information much more integrated and accurate after the ERP system merging. Meanwhile service quality was increased because of all incidents now monitored in one efficient log system and handled by experienced IT application support team.

scholarly journals Blockchain, Enterprise Resource Planning (ERP) and Accounting Information Systems (AIS): Research on e-Procurement and System Integration

2021 ◽  
Vol 11 (15) ◽  
pp. 6792
Author(s):  
Alessio Faccia ◽  
Pythagoras Petratos
Keyword(s):  
Information Systems ◽  
Enterprise Resource Planning ◽  
System Integration ◽  
Case Study Research ◽  
Accounting Information ◽  
Resource Planning ◽  
Security And Privacy ◽  
Accounting Information Systems ◽  
Erp System

Accounting information systems (AISs), the core module of any enterprise resource planning (ERP) system, are usually designed as centralised systems. Nowadays, the continuous development and applications of blockchain, or more broadly—distributed ledger technology (DLT), can change the architecture, overcome and improve some limitations of centralised systems, most notably security and privacy. An increasing number of authors are suggesting the application of blockchain technologies in management, accounting and ERPs. This paper aims to examine the emerging literature on this field, and an immediate result is that blockchain applications can have significant benefits. The paper’s innovative contribution and considerable objective are to examine if blockchain can be successfully integrated with AIS and ERPs. We find that blockchain can facilitate integration at multiple levels and better serve various purposes as auditing compliance. To demonstrate that, we analyse e-procurement systems and operations using case study research methodology. The findings suggest that DLT, decentralised finance (DeFI), and financial technology (FinTech) applications can facilitate integrating AISs and ERP systems and yield significant benefits for efficiency, productivity and security.

Smoothing Short Duration Capacity Problems in Enterprise Resource Planning (ERP) Systems: An Algorithmic Approach

2014 ◽  
Vol 933 ◽  
pp. 860-868
Author(s):  
Muneam Zamzeer Al-Magsoosi
Keyword(s):  
Short Duration ◽  
Enterprise Resource Planning ◽  
Lot Sizing ◽  
Environmental Parameters ◽  
Resource Planning ◽  
Successful Implementation ◽  
Erp Systems ◽  
Lot Size ◽  
Erp System ◽  
Order Release

Successful implementation of ERP systems should take full advantage of the access to information, but not be constrained by many of the deficiencies associated with infinite capacity scheduling methodologies. In this paper an algorithm is developed which improves the performance of the ERP system. Lot sizing decisions based on capacity availability are used as an instrument to integrate more effectively capacity requirements planning (CRP) and Material Requirements Planning (MRP). MRP is a planning tool for a sub-set of manufacturing system specially in hierarchal multi-product, multi-period and multi-stage production planning and inventory control system. The Vehicle used for this integration is planned order release (POR) quantity. The algorithm requires minimal deviation from the MRP logic. In this sequential process MRP first issues the action notices and then the algorithm analyses the capacity situation in the work centers. The algorithm scans all planned order release quantities of lower level items in the action bucket before orders are released to the shop. For each item a delta value is computed identifying the degree orders are contributing to capacity problems. This delta is specific to each POR. The POR causing the highest overload and the one passing through the lowest utilized work centers are selected for a lot size decrease, respectively, an increase. After identifying the candidates, a series of checks analyses the suitability of the candidates for that change. The planned order release quantities of more items can be performed. Projected capacity profile after iteration will be updated and capacity requirements over a short duration are smoothed. The experiments are performed with MAP/3000 as a simulation model for this study. The developed algorithm is added to MAP/3000 as additional subroutines. The design of the experiments consists of a base test identifying the significance of different environmental parameters of MRP systems and a main test which performs a detailed evaluation. The results are evaluated using analysis of variance techniques. Most ERP systems built on the historical development of MRP and CRP systems, and the assumption of infinite capacity is affecting the performance of those systems badly. This paper is presenting an algorithm to smooth capacity problems by using the existed capacity.

Assessment of a Hierarchical Model Using Partial Least Squares (PLS): The Case of Enterprise Resource Planning (ERP) System Continued Usage

2021 ◽  
Vol 39 (10) ◽  
Author(s):  
T. Ramayah ◽  
Lo May-Chiun ◽  
Sarminah Samad ◽  
Noor Hazlina Ahmad ◽  
Hasliza Abdul Halim
Keyword(s):  
Empirical Study ◽  
Least Squares ◽  
Partial Least Squares ◽  
Hierarchical Model ◽  
Enterprise Resource Planning ◽  
Questionnaire Survey ◽  
Resource Planning ◽  
Higher Order ◽  
Continuance Intention ◽  
Erp System

This paper is an empirical study that highlights the usage of Enterprise Resource Planning (ERP) system among individual users.  Questionnaire survey was carried out with measures gleaned from the literature. In this study we have proposed and tested a hierarchical reflective model of quality unlike other studies. The results support the higher order hierarchical reflective model tested using the Partial least Squares (PLS) software of SmartPLS. We further found support for all the hypotheses developed. Quality was a significant predictor of continuance intention and satisfaction. Satisfaction also drives continuance intention and mediates the effect of quality on the continuance intention relationship. Implications of the findings are further explored.

The Impacts of the Quality Dimensions of the ERP System on the Realization of the Fundamental Business Objectives and Perceived Usefulness

2018 ◽  
Vol 14 (4) ◽  
pp. 89-107
Author(s):  
Ashraf Ahmed Fadelelmoula
Keyword(s):  
Information Systems ◽  
Service Quality ◽  
Enterprise Resource Planning ◽  
Information Quality ◽  
Resource Planning ◽  
Perceived Usefulness ◽  
Information Systems Success ◽  
Business Objectives ◽  
Erp System ◽  
Quality Dimensions

This article empirically assesses the impacts of the quality dimensions of the enterprise resource planning (ERP) system on the realization of the fundamental business objectives of information systems and perceived usefulness. To assess these impacts, a theoretical model was developed based on the theory of information systems success. The model comprises the quality dimensions of the ERP system and their hypothesized relationships with the realization of the fundamental business objectives and perceived usefulness. To test the postulated relationships, a questionnaire was constructed based on a thorough survey of the information systems literature. The questionnaire was distributed to a sample of 300 end users of the ERP system in a public university in the Kingdom of Saudi Arabia (KSA). The collected data were tested using regression analysis. The findings reveal that information quality has the highest effect on the realization of business objectives, while service quality has the highest effect on the perceived usefulness. These findings indicate that the crucial aspects of both information quality and service quality should receive greater management attention in order to enhance the individual and organizational impacts of the ERP systems.

Research on Model Transformation Method Oriented to Model Driven ERP System

2013 ◽  
Vol 670 ◽  
pp. 208-215
Author(s):  
Ying Che ◽  
G. Wang ◽  
M. Lv ◽  
B.Y. Ren
Keyword(s):  
Enterprise Resource Planning ◽  
Model Transformation ◽  
Implementation Process ◽  
Resource Planning ◽  
Transformation Method ◽  
Erp System ◽  
Model Driven ◽  
Existing Problems ◽  
Mapping Rules ◽  
Independent Model

The model transformation from Computation Independent Model (CIM) to Platform Independent Model (PIM) level is one of the crucial and difficult points in the implementation process of model-driven Enterprise Resource Planning (ERP) system. For achieving the semantic conforming transformation between these two abstract modeling levels in Model Driven Architecture (MDA), a model transformation method based on ontology technology was proposed, which was a semi-automatic and general method. Firstly, the existing problems of model transformation from CIM level to PIM level in current studies were analyzed. Then, a model transformation framework based on ontology was built, the basic concepts relating to ontology were defined, and the whole architecture was described. After that, the transformation method was researched from two parts, the discovering of mapping rules and the occurrence of model transformation, which included the discovering technology of mapping rules based on similarity and the working principles of model transformation generator. Finally, a model transformation example was provided for validating the practicability and feasibility of proposed theories.

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