Decision support system framework for implementation of Enterprise Resource Planning (ERP) system

Author(s):  
Muhammad Abdul Tawab Khalil ◽  
P. D. D. Dominic ◽  
Mohd Fadzil Hassan
2021 ◽  
Vol 11 (8) ◽  
pp. 3474
Author(s):  
Michał Kozielski ◽  
Joanna Henzel ◽  
Łukasz Wróbel ◽  
Zbigniew Łaskarzewski ◽  
Marek Sikora

Currently, efficiency in the supply domain and the ability to make quick and accurate decisions and to assess risk properly play a crucial role. The role of a decision support system (DSS) is to support the decision-making process in the enterprise, and for this, it is yet not enough to have up-to-date data; reliable predictions are necessary. Each application area has its own specificity, and so far, no dedicated DSS for liquefied petroleum gas (LPG) supply has been presented. This study presents a decision support system dedicated to support the LPG supply process from the perspective of gas demand analysis. This perspective includes a short- and medium-term gas demand prediction, as well as the definition and monitoring of key performance indicators. The analysis performed within the system is based exclusively on the collected sensory data; no data from any external enterprise resource planning (ERP) systems are used. Examples of forecasts and KPIs presented in the study show what kind of analysis can be implemented in the proposed system and prove its usefulness. This study, showing the overall workflow and the results for the use cases, which outperform the typical trivial approaches, could be a valuable direction for future works in the field of LPG and other fuel supply.


Author(s):  
Mohammad Shariat ◽  
Hudson Nwakanma

<p class="ForMoreInfoHeader" style="text-align: justify; margin: 0in 34.2pt 0pt 0.5in;"><span style="font-style: normal; font-size: 10pt;" lang="EN-GB"><span style="font-family: Times New Roman;">This paper looks at the development of ERP and DSS, with a focus on the differences between the two systems in terms of their evolution and applications and the potential for convergence in the future. For the most part, ERP and DSS have evolved in parallel, and as a result those organizations, which have already implemented ERP, are now having problems integrating DSS and data warehousing into their system. ERP vendors hold the opinion that it is comparatively simple to add on DDS applications, but this tends to be contradicted by the fact that most ERP specialists are not experienced in DSS or in data warehousing. Software analysts from both sides of the industry agree that convergence is inevitable, but differ in their views as to how this should be achieved. It would seem that a greater degree of collaboration, and the transfer of skills between the two sides, is the most practical option, coupled with a case-by-case approach to the requirements of individual customers rather than trying to find blanket solutions. </span></span></p>


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