scholarly journals Designing a Process Mining-Enabled Decision Support System for Business Process Standardization in ERP Implementation Projects

2018 ◽  
pp. 228-244 ◽  
Author(s):  
Christian Fleig ◽  
Dominik Augenstein ◽  
Alexander Maedche
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Business Process ◽  
Support System ◽  
Process Mining ◽  
Process Standardization ◽  
Erp Implementation ◽  
Business Process Standardization

scholarly journals Intelligent decision support method in a typical situation

2021 ◽  
Vol 11 (1) ◽  
pp. 126-136
Author(s):  
V.V. Antonov ◽  
◽  
K.A. Konev
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Knowledge Base ◽  
Business Process ◽  
Support System ◽  
System Integration ◽  
General Structure ◽  
Typical Situation ◽  
Ontological Model ◽  
Decision Support Method

The article discusses a decision support method using a knowledge base. The relevance of the study of issues related to decision-making in typical situations is shown. In order to increase the effectiveness of management activities, the is-sues of system integration of the regulatory framework, ontological model and knowledge base of the intelligent sub-system of decision support within the framework of the business process are considered. In support of the proposed method, a model has been formed for replenishing the knowledge base both at the structural and analytical levels, which demonstrates the connection between the most important elements of the system: the ontological model, the knowledge base and the normative subsystem. An example of using the proposed scheme is shown. To demonstrate the model of functioning of the decision support system, an algorithm for replenishing the knowledge base is proposed and described. As a conceptual basis for the formal description of the model, operations for working with knowledge are described in the set-theoretic aspect. The principles of adaptation of the ontological model as an information object for linking with the knowledge base are considered. The conceptual diagram of the general structure of the ontological model for making decisions within the framework of the business process as a set of interrelated concepts is proposed and demonstrated. An information model of a specialized database has been developed and presented, serving as a technical basis for building a knowledge base of a decision support system in a typical situation, its main structural el-ements, the principles of their interrelation and an approach to ensuring the consistency of its internal structure are de-scribed.

scholarly journals An integrated decision support system for ERP implementation in small and medium sized enterprises

2014 ◽  
Vol 27 (4) ◽  
pp. 358-384 ◽  
Author(s):  
Ying Xie ◽  
Colin James Allen ◽  
Mahmood Ali
Keyword(s):  
Decision Support ◽  
Nonlinear Programming ◽  
Decision Support System ◽  
Support System ◽  
Regression Models ◽  
Programming Model ◽  
Resource Allocations ◽  
Erp Implementation ◽  
Content Type ◽  
Nonlinear Programming Model

Purpose – Implementing enterprise resource planning (ERP) is a challenging task for small- and medium-sized enterprises (SMEs). The purpose of this paper is to develop an integrated decision support system (DSS) for ERP implementation (DSS_ERP) to facilitate resource allocations and risk analysis. Design/methodology/approach – Analytical regression models are developed using data collected through a survey conducted on 400 SMEs that have implemented ERP systems, and are validated by a simulation model. The validated analytical regression models are used to construct a nonlinear programming model that generates solutions for resource allocations, such as time and budget. Findings – ERP implementation cost increases along the time horizon, while performance level increases up to a point and remains unchanged. To maximise or achieve a certain level of performance within a budget limitation, CSFs are prioritised as: project management (highest), top management, information technology, users and vendor support (lowest). SMEs are recommended to concentrate effort and resources on CSFs that have a greater impact on achieving their desired goals while optimising utilisation of resources. Research limitations/implications – DSS_ERP proves to be beneficial to SMEs in identifying required resources and allocating resources, but could be further tested in case studies for its practical use and benefits. Practical implications – DSS_ERP serves as a useful tool for SMEs to predict required resources and allocate them prior to ERP implementation, which maximises the probability of achieving predetermined targets. It also enables SMEs to analyse risk caused by changes to resources during ERP implementation, and helps them to be better prepared for the risks. Originality/value – The research contributes to the scarce research on ERP implementation using scientific methods. A novel nonlinear programming model is constructed for ERP implementation under time and budget limitations, facilitating resource allocations in an ERP implementation, which has not been reported in any previous research. The research offers a theoretical basis for empirical studies of resource allocations in ERP implementation.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PENENTUAN RUMAH TANGGA MISKIN PADA DESA CIBANGKONG DENGAN METODE WASPAS

2019 ◽  
Vol 1 (4) ◽  
pp. 197-204
Author(s):  
Tuti Haryanti ◽  
Laela Kurniawati ◽  
Sugeng Riyadi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Business Process ◽  
Support System ◽  
Population Data ◽  
Complex Problem ◽  
Poor Households ◽  
Poor Families ◽  
Product Assessment ◽  
Vulnerable Households

In the current era, various business process activities require the application of information technology. Decision making is one of the business process activities that can be helped by the existence of technology. Determining poor families is a complex problem because many criteria must be met to determine poor families and deserve assistance in dealing with poverty. Therefore, a decision support system is made using the Weighted Aggregated Sum Product Assessment (WASPAS) method with predetermined criteria and then implemented using Visual Basic .Net. The sample used was 89 residents of Cibangkong Village who were registered to apply for government assistance. The results of the study obtained 12 very poor households, 28 poor households, 38 poor vulnerable households and 11 non-poor households. With a decision support system, the WASPAS method in processing data will be more effective and efficient because of the process of evaluating and making quick reports. Employees only enter population data, criteria data and population assessment data, while the process of calculating and reporting is done by the system.

scholarly journals Decision Support System Research on Forest Tending Problems Based on Process Management System

2019 ◽  
Author(s):  
Hui Jing ◽  
Wukui Wang ◽  
Aline Umutoni
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Business Process ◽  
Support System ◽  
Process Management ◽  
Decision Makers ◽  
System Structure ◽  
Planning System ◽  
Decision Making Process

In this study, the decision-making process management of forest tending in the forestry business is decentralized, and forest tending decision-making activities at different points in time are integrated by decision makers at different geographical locations. The decision-making process was analyzed and optimized from a system perspective. Based on the optimized decision-making process, a forest tending business group decision support system (FTGDSS) was established. We first reviewed and discussed the characteristics and development of the forest tending business and forestry decision support system. Business Process Modeling Notation was used to draw a current state flow chart of the forest tending business, to identify and discover important decision points in the process of tending decision-making. We also analyzed the content and attributes of each decision point, and described the system structure, functional framework, knowledge base structure, and reasoning algorithm of FTGDSS in detail. Finally, FTGDSS was evaluated from the two dimensions of the technology adoption model. FTGDSS integrates different levels of time-space decision-making activities, historical tending data, business plans, decision-makers' management tendencies into the decision-making process and automatically extracts decision-making data from the forest business process management enterprise resource planning system (Smartforest) that improves the ease of use of the decision support system (DSS). It also improves the quality of forest tending decisions, and enables the DSS to better support multi-target management strategies.

Research on Application Strategy for ERP System in Enterprise Accounting Informationization

2011 ◽  
Vol 403-408 ◽  
pp. 426-431
Author(s):  
Chang Shan Li
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Business Intelligence ◽  
Accounting Information ◽  
Small Enterprises ◽  
Erp Implementation ◽  
Erp System ◽  
Intelligence System ◽  
Medium And Small Enterprises

With the rapid economic operation, intensified market competition, the enterprise’s requirement on the quality of accounting information is getting higher and higher. It is also a subject faced by enterprise that how to construct the accounting informationization scientifically, reasonably and efficiently to ensure that accounting information system is operated safely, effectively and in real-time. ERP represents a higher level among current accounting informationization. The implementation of ERP in medium and small enterprises has more advantages than that in large enterprises, if strategy properly, it will greatly improve the success rate for ERP implementation. Enterprises carried out ERP successfully should promote the establishment of decision support system and business intelligence system at proper time. Although the medium and small enterprises have a advantage ERP implementation, to implement ERP successfully, they need to have correct cognition on it, well solve the relationship between “top leader” and team building, make correct choice, construct ERP system in step with certain focal points according to their plan as well as persist in the training of entire staff and intensifying the job of enterprise data management. Enterprises successfully implemented ERP should take decision support system and business intelligence system as their next target in accounting informationization.

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