scholarly journals Cyber Physical Autonomous Mobile Robot (CPAMR) Framework in the Context of Industry 4.0

2018 ◽  
Vol 167 ◽  
pp. 02005
Author(s):  
Yoon Ket Lee ◽  
Yeh Huann Goh ◽  
Yiqi Tew
Keyword(s):  
Mobile Robot ◽  
Enterprise Resource Planning ◽  
Radio Frequency Identification ◽  
Industry 4.0 ◽  
Process Management ◽  
Resource Planning ◽  
Smart Manufacturing ◽  
Autonomous Mobile Robot ◽  
Cloud Platform ◽  
Erp System

Industry 4.0 or Smart Manufacturing creates intelligent object networking and independent process management through Internet of thing and data services. Cyber-Physical System (CPS) communicates among humans, machines and products through Internet of Things (IoT). In this paper a cyber physical autonomous mobile robot (CPAMR) IoT infrastructure system has been proposed. It is capable of performing human-machine interact by allowing users to place and manage orders using cloud platform. The Enterprise Resource Planning (ERP) system processes the data and send the product's data to Radio-frequency identification (RFID) tag system for storage and printout. Through Remote Telemetry Unit (RTU), the status of the product, CPAMR system and workstations or machineries are linked to the cloud platform. Initially, system identify the locations of CPAMR, product and the desired workstation. After gathering all the required information, Artificial Intelligence Algorithms (AIA) performs real time route map planning according to the shortest distance between CPAMR and the destination. This route map planning will then be sent to the CPAMR’s micro-controller for operation. While the CPAMR is moving, it moves according to the planned route map with the assistance of the Obstacle Avoidance System until it reaches the destination and notifies cloud platform. Three individual projects representing three main functions of the proposed CPAMR have been carried out. Results show that the framework of the project is viable.

scholarly journals Selection of the ERP System with Regard to the Global 4th Industrial Revolution

2021 ◽  
Vol 92 ◽  
pp. 04019
Author(s):  
Martin Polivka ◽  
Lilia Dvorakova
Keyword(s):  
Information And Communication Technologies ◽  
Enterprise Resource Planning ◽  
Industry 4.0 ◽  
Global Economy ◽  
Industrial Revolution ◽  
Value Added ◽  
Resource Planning ◽  
Support Tool ◽  
New Era ◽  
Erp System

Research background: So-called Fourth industrial revolution, triggered by the massive development of information and communication technologies and leading to the new era of manufacturing and logistics known as Industry 4.0, is definitely an important topic across the global economy. Besides their other effects, technologies of the Industry 4.0 have a significant impact on the IT landscape of organizations, including the central part of this landscape – Enterprise Resource Planning (ERP) systems. It is, therefore, important for organizations to take this fact into measure when selecting a new ERP system. Purpose of the article: The aim of the presented research was to propose set of criteria, which could be used by the organization during the choice process of new ERP system in order to evaluate the readiness of every candidate for the challenges related to the Industry 4.0. Methods: Development of the criteria set was based on analysis and evaluation of two main areas – firstly, the content of the Industry 4.0 and its particular technologies, and secondly the tasks which should be performed by the modern ERP system. Requirements arising from these two areas were then merged together into one set of criteria. Findings & Value added: Result of the presented research is a comprehensive and easy-to-use set of criteria, which can be used as a decision-making support tool in the business practice.

The impact of RFID on the supply chain for engineering shutdowns

2015 ◽  
Vol 55 (2) ◽  
pp. 411
Author(s):  
Maria Lantu
Keyword(s):  
Supply Chain ◽  
Enterprise Resource Planning ◽  
Radio Frequency Identification ◽  
Wait Time ◽  
Resource Planning ◽  
Accurate Method ◽  
Recent Analysis ◽  
Erp System ◽  
Critical Materials ◽  
The Impact

Shutdown activity is heavily reliant on supply chain functions, yet planning is frequently based on incorrect or incomplete information. The flow of materials and equipment is critical to preserving the schedule and budget; however, in most projects, the location of critical materials is manually tracked using spreadsheets or relies on limited enterprise resource planning (ERP) system functionality. This creates a number of problems, as there is no automated or accurate method of locating or ensuring material is available after it has left the manufacturer/supply base and is issued for installation; for example: Recent analysis showed 50–70% of materials are subject to some type of waste (rework, wait time, transport and over processing). Additional resources are required to manage constantly changing shutdown schedules and chase up material locations for job-card staging. Materials expedite costs for a four-week shutdown in a remote area can exceed up to $250,000 a week. Up to 30% of materials sent for a shutdown can be returned to inventory, which increases transport and labour costs. This extended abstract outlines the use of radio frequency identification (RFID) technology and lean supply chain techniques for improving plant shutdown performance, following two major Brownfield engineering projects that used technology innovations, such as active RFID tags, cloud software, solar energy, GPS, 3G/wireless network and mobile devices. RFID real-time location material tracking and LEAN principles were applied to critical materials to remove waste from shutdown processes, protect the integrity of the shutdown plan and help reduce costs by up to 14%.

scholarly journals THE BENEFITS OF ENTERPRISE RESOURCE PLANNING SYSTEM IMPLEMENTATION OF MANAGEMENT ACCOUNTING PRACTICES IN MALAYSIAN SMES

2021 ◽  
Vol 56 (4) ◽  
pp. 764-778
Author(s):  
Sudhashini Nair ◽  
Foo Wai Xin ◽  
Salwa Ahamad ◽  
Neeta Jayabalan
Keyword(s):  
Organizational Performance ◽  
Enterprise Resource Planning ◽  
Structural Equation ◽  
Management Accounting ◽  
Resource Planning ◽  
Planning System ◽  
Equation Modeling ◽  
Smart Manufacturing ◽  
System Implementation ◽  
Erp System

Malaysia is a primary destination for smart manufacturing and high technology activities. However, as businesses grow and compete, there is high pressure on small and medium-sized enterprises (SMEs) to improve their organizational performance, diversify and expand their business, and support stakeholders' interests. Management accounting practices (MAPs) are likely to allow businesses to achieve such objectives as the use of financial and non-financial information at the management and operational level will assist in planning, control, and decision-making subsequently. This increases profit and sales while reducing operational cost, improving quality, and strengthening stakeholders’ relationships, including enhancing customer value. Enterprise resource planning (ERP) is a system that allows businesses to achieve these enhancements as the ERP software integrates various automated processes related to technology, inventory, finance, services, and human resource management. The review of studies in the field of MAPs has found that the operational, tactical, and strategic benefit from the ERP system implementation may affect MAPs in SMEs; hence, this study aims to examine the possible relationships that may exist between operational, tactical, and strategic benefits of ERP implementation and MAPs among Malaysian SMEs. Data was collected using online questionnaires from 150 managers from SMEs in the state of Selangor. Using Structural Equation Modeling (AMOS), the study found that both operational benefit and strategic benefit of ERP system implementation had significant positive relationships with MAPs in Malaysian SMEs. The implications of the research findings of this study are discussed.

Using Process Mapping to Reveal Process Redesign Opportunities during ERP Planning

2015 ◽  
Vol 12 (1) ◽  
pp. 169-188 ◽  
Author(s):  
Marianne Bradford ◽  
Gregory J. Gerard
Keyword(s):  
Business Process ◽  
Enterprise Resource Planning ◽  
Process Management ◽  
Raw Materials ◽  
Process Analysis ◽  
Resource Planning ◽  
Process Redesign ◽  
Erp System ◽  
The Difference ◽  
Purchasing Process

ABSTRACT The objectives of the Elizor Case are to give students experience with business process analysis by requiring them to first document an “as is” raw materials purchasing process during the planning for an enterprise resource planning (ERP) system implementation and then to have students determine issues inherent in the process that will necessitate process redesign. Students will learn the difference between two types of process redesign—business process reengineering (BPR) and business process improvement (BPI)—synthesize this knowledge in order to identify process issues inherent in the case, and suggest process redesigns that an ERP system will need to provide so that the purchasing process is more efficient, effective, and controlled. The case has broad appeal for faculty teaching ERP systems and/or business process management.

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.

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