Enterprise Resource Planning Software for Manufacturing Industry

2020 ◽  
Vol 8 (5) ◽  
pp. 1836-1840
Author(s):  
Adarsh Soni
Keyword(s):  
Enterprise Resource Planning ◽  
Manufacturing Industry ◽  
Resource Planning ◽  
Planning Software

scholarly journals QoS Priorities in ERP Implementation – A Study of Manufacturing Industry of Nepal

2019 ◽  
Vol 12 (4) ◽  
pp. 168-184
Author(s):  
Susan Giri ◽  
Ram Naresh Thakur ◽  
Jyotir Moy Chatterjee
Keyword(s):  
Data Analysis ◽  
Enterprise Resource Planning ◽  
Manufacturing Industry ◽  
Research Question ◽  
Resource Planning ◽  
Global Market ◽  
Ease Of Use ◽  
Erp Implementation ◽  
Chi Square ◽  
Essential Components

ERP, or Enterprise Resource Planning systems help business management, which consists of a well-designed interface that incorporates different programs to integrate and manage all company functions at intervals of a company, these sets incorporate applications for human resources, monetary and accounting, sales and distribution, project management, materials management, SCM, or Supply Chain Management and quality management. Currently, organizations are running to improve their ability to survive in the global market competitions of the 21st century. While the organizations try to advance in their level of agility, changing and modifying the process of decision-making to make it more efficient and effective to satisfy the successive variations of the market. Different views are gathered regarding ERP implementation of ERP in manufacturing. Even we have taken certain essential components of ERP for a better understanding of ERP. Ease of use, usefulness, quality, and trust on ERP services have been taken an independent variable that affects user’s decision to adopt ERP. The role of ERP technology in manufacturing facilities are broken into more categories for detail concept. Quantitative data analysis methods were usually used for questionnaire data analysis which was utilized to analyze statistical data and after that collection of interview data was done. A researcher has applied different statistical tools like Chi-Square Tests, Anova, etc. to analyze the collected data. A researcher essential portion is to analyze and interpret data that relates to modifying data which explains the solution to the research question with some additional future recommendation for more quality research.

scholarly journals Vehicle routing decision support for a local retailer

ORiON ◽  
2021 ◽  
Author(s):  
Jan H van Vuuren ◽  
Aaron Shuttleworth
Keyword(s):  
Vehicle Routing ◽  
Enterprise Resource Planning ◽  
Cost Savings ◽  
Resource Planning ◽  
Practical Case ◽  
Retail Sector ◽  
Western Cape ◽  
Potential Cost ◽  
Planning Software ◽  
Delivery Vehicles

One of the most challenging decisions that has to made routinely by dispatch managers at distribution centres of warehousing and distribution businesses in the retail sector involves the assignment of delivery vehicles to service customers exhibiting demand for retail goods and the subsequent routing of these delivery vehicles to the various customers and back again. Perhaps surprisingly, these dispatch managers do not always use vehicle routing software to schedule goods deliveries to customers, instead often relying on teams of human schedulers who perform this task manually. The reason for not using such software is usually a perception that it may be difficult to integrate the software with existing enterprise resource planning systems already in use. In such cases, estimates of potential costs savings that may be brought about by such software is often required before the dispatch department will risk the significant step towards investing in vehicle routing planning software. Dispatch managers may then employ these cost savings estimates in cost-benefit trade-off analyses. This paper contains a practical case study in which the potential cost savings of a vehicle routing optimisation approach are quantified for a large retail distribution centre in the South African Western Cape in a bid to support its decision as to whether or not to invest in vehicle routing planning software.

scholarly journals Reengineering Business Process Manufacturing Company Sales Module Using Odoo V12.0 Application

2021 ◽  
Vol 9 (3) ◽  
pp. 188
Author(s):  
Rika Hari Wahyuni ◽  
I Made Sukarsa ◽  
Dewa Made Sri Arsa
Keyword(s):  
Business Process ◽  
Enterprise Resource Planning ◽  
Manufacturing Industry ◽  
Business Processes ◽  
Business Process Reengineering ◽  
Resource Planning ◽  
User Acceptance ◽  
Test Method ◽  
Process Reengineering ◽  
Acceptance Test

The manufacturing industry applies the use of ERP to run corporate business processes, build good communication and improve service quality. This study aims to provide a Business Process Reengineering proposal to the sales department using the Odoo V12.0 so that the system can be integrated. The methodology used in this research is Business Process Reengineering, where the research only focuses on the sales field. Existing business processes, namely purchasing products, sales orders and invoicing manuall. Reengineering that has been carried out is the product sales process, the sales order process, and the payment process. Reengineering has been carried out quite well by using the User Acceptance Test method and obtaining agreed responses as the greatest value in every aspect. The results obtained are based on 5 categories, namely content items by 63%, module items by 53%, multimedia element items by 88%, navigation aspects by 70% and usability items by 82%. Keywords: Business Process Reengineering, Enterprise Resource Planning, Odoo V12.0, Sales, User Acceptance Test

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