scholarly journals Implementation of a WSN-Based IIoT Monitoring System within the Workshop of a Solar Protection Curtains Company

2020 ◽  
Vol 2 (1) ◽  
pp. 9
Author(s):  
Aitor Biurrun ◽  
Imanol Picallo ◽  
Hicham Klaina ◽  
Peio Lopez-Iturri ◽  
Ana V. Alejos ◽  
...  
Keyword(s):  
Enterprise Resource Planning ◽  
Low Cost ◽  
Resource Planning ◽  
Wireless Channel ◽  
Manufacturing Processes ◽  
Industrial Internet Of Things ◽  
Sensors And Actuators ◽  
Erp System ◽  
Industrial Internet ◽  
Ray Launching

Nowadays, the implementation of automated manufacturing processes within a wide variety of industrial environments is not understood without the Industry 4.0 concept and the context-aware possibilities given by the Industrial Internet of Things (IIoT). In this sense, Wireless Sensor Networks (WSN) play a key role due to their inherent mobility, ease of deployment and maintenance, scalability and low power consumption, among others. This work proposes the deployment and optimization of a WSN in the facilities of the Galeo Enrollables Company, located in Navarre (Spain), in order to optimize the manufacturing processes of technical curtains. For that purpose, radio propagation measurements as well as 3D Ray Launching simulations have been performed in order to characterize the wireless channel of this harsh industrial environment. Then, low cost sensors and actuators have been selected to prepare different wireless motes in order to deploy them on different machines/workstations present within the scenario. The information gathered by the motes is then transmitted to a central node, which conditions the data for input into the Enterprise Resource Planning (ERP) system.

scholarly journals Implementation of a WSN-Based IIoT Monitoring System within the Workshop of a Solar Protection Curtains Company

2020 ◽  
Vol 2 (1) ◽  
pp. 60
Author(s):  
Aitor Biurrun ◽  
Imanol Picallo ◽  
Hicham Klaina ◽  
Peio Lopez-Iturri ◽  
Ana V. Alejos ◽  
...  
Keyword(s):  
Enterprise Resource Planning ◽  
Low Cost ◽  
Resource Planning ◽  
Wireless Channel ◽  
Manufacturing Processes ◽  
Industrial Internet Of Things ◽  
Sensors And Actuators ◽  
Erp System ◽  
Industrial Internet ◽  
Ray Launching

Nowadays, the implementation of automated manufacturing processes within a wide variety of industrial environments is not understood without the Industry 4.0 concept and the context-aware possibilities given by the Industrial Internet of Things (IIoT). In this sense, Wireless Sensor Networks (WSN) play a key role due to their inherent mobility, ease of deployment and maintenance, scalability and low power consumption, among others. This work proposes the deployment and optimization of a WSN in the facilities of the Galeo Enrollables Company, located in Navarre (Spain), in order to optimize the manufacturing processes of technical curtains. For that purpose, radio propagation measurements as well as 3D Ray Launching simulations have been performed in order to characterize the wireless channel of this harsh industrial environment. Then, low cost sensors and actuators have been selected to prepare different wireless motes in order to deploy them on different machines/workstations present within the scenario. The information gathered by the motes is then transmitted to a central node, which conditions the data for input into the Enterprise Resource Planning (ERP) system.

scholarly journals Risk Analysis on Industrial Internet of Things (Iiot) Integration with Enterprise Resource Planning(ERP) Inmanufacturing

2020 ◽  
Vol 9 (4) ◽  
pp. 3007-3011
Keyword(s):  
Internet Of Things ◽  
Product Design ◽  
Enterprise Resource Planning ◽  
Data Security ◽  
Resource Planning ◽  
Security Risk ◽  
Industrial Internet Of Things ◽  
Customer Data ◽  
Manufacturing Plants ◽  
Industrial Internet

At the onset of liberalization, privatization and globalization, enterprise resource planning has become an integrated part of any business. It has become imperative for businesses to go in for IIoT. With implementation of IIoT and analytics companies can become more profitable and productivity can increase constantly. With this comes the risk of data security in ERP due to real time capturing huge volume of data in manufacturing plants, which are under security risk. This has forced the companies to implement measures to ensure that the product design and customer data are stored securely without compromising on business. This paper presents the possible sources of risk in IIoT and presents the solutions for preventing the risk.

scholarly journals ERP System for College Automation Using Quick Response Code

2021 ◽  
pp. 606-612
Author(s):  
Prof. Riyazahemed A. Jamadar ◽  
Gauravi Joshi ◽  
Mansi Jagtap ◽  
Sneha Goture ◽  
Shweta Kothari
Keyword(s):  
Enterprise Resource Planning ◽  
Low Cost ◽  
Resource Planning ◽  
Planning System ◽  
Quick Response ◽  
Response Code ◽  
Erp System ◽  
Quick Response Code ◽  
Teachers And Students ◽  
Software Modules

An enterprise resource planning system (ERP) is a method used by almost all businesses today due to its ability to incorporate various domains and fractions of work. The ERP method atomizes the majority of the manual work performed internally in each of these units, as well as combining the total work output, allowing for a better overall view of the company. The education field, which also has several fractions that need integration, uses the same high-quality ERP framework. Paperwork in the education sector has long been a concern, owing to the ease with which errors can be made when work is performed manually. This proposed framework entails using Quick Response Code to introduce an ERP system for college automation. The use of a QR Code tag allows each student to be assigned a unique ID, which is then used for automated college process labeling. This framework consists of a series of integrated software modules that provide real-time support for the college. From the director level to the student level, several modules are built to serve each fraction of the institution. When this method is implemented, there is no paper work and no data inconsistency. It has many advantages for administrators, teachers, and students. In terms of deployment and maintenance, this is a low-cost system.

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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