A Review of "Decision Support Systems for Manufacturing Systems" | Article Review

Running head: REVIEW OF DECISION SUPPORT SYSTEMS
REVIEW OF DECISION SUPPORT SYSTEMS
Name of student
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REVIEW OF DECISION SUPPORT SYSTEMS
1. Summary of article
“A Review of Decision Support Systems for Manufacturing Systems” by Andreas
Felsberger, Bernhard Oberegger and Gerald Reiner
The main reason for which this article has been written by the authors is to decide the
role of the decision support system in manufacturing systems. It has been argued by the
authors of this article that in sector of the manufacturing systems, the automated procurement
of data and the creation of the technological innovation such as the manufacturing execution
systems, the Enterprise Resource Planning, the Advanced Planning Systems have provided
the path for the rise of new applications as well as the methods of the existing technologies of
decision supporting (Felsberger, & Oberegger, & Reiner, 2016). The authors analysed that
the DSS helps in reducing the amount of the data to best quality structured quantity and
because of this activity, the proper decisions are taken for supporting the process of
manufacturing.
It could be analysed that this article is particularly beneficial for the companies
working in the manufacturing sector as this article could be used for understanding the
methods by which the companies would be benefitted from the implementation of the
decision support systems.
The decision support system has been extensively described in this article. It has been
analysed in this article that the DSS could be denoted as the computer systems that efficiently
deals with the issues where some of the stages are semi-structured or even unstructured data
(Felsberger, & Oberegger, & Reiner, 2016). It has been mentioned in this article that the
decision issues as existing on the continuum from the programmed to the non-programmed.
The cooperative DSS allows the decision makers in the modification, completion or the
refining of the decision recommendations that are provided by any system.

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REVIEW OF DECISION SUPPORT SYSTEMS
It has been discovered by the authors that the data-driven theories mainly needs the
accessibility of huge amount of the structured data and could manage the time-series of the
internal and the external data of the company as well as the real-time data. It has been
discovered by the authors that the model-driven approaches have been designed for allowing
the manipulation of the parameters of model by any and for supporting the decision makes
with the analysis of any provided situation.
2. CAT analysis
Background
The question for CAT analysis is critical for understanding the extent at which the
issues of companies in manufacturing sector are eliminated. Earlier, the manufacturing sector
worked with the help of conventional methods that grew inefficient with the increase of the
customer base in the companies. It could be observed that the introduction of various
technologies has helped in simplifying the methods by which decisions are determined in the
companies of manufacturing sector. This CAT has been executed for determining the role of
decision support systems in the manufacturing sector companies.
Question
What is the impact of DSS in the manufacturing sector?
PICOC
Population Who? Employees
Intervention What or how? Decision support systems
Comparison Compared to What? Implement DSS or not
Outcome What are you trying to Introducing better decision taking methods

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REVIEW OF DECISION SUPPORT SYSTEMS
accomplish, improve, or change
Context In what kind of organization? Manufacturing organisation
Inclusion criteria
Language: English article
Types of studies: Quantitative studies
Outcome: productivity, performance
Context: research associated with the workplace settings
Search strategy
The database that have been used for searching the articles are scholarly journals and
peer-reviewed journals. The generic search filters that have been applied to the Google
Scholar database during the search stage are:
Documentation of search
Google scholar, peer reviewed, scholarly journals, January 2020
Search terms Scholar
S1: ti(“Decision support system*”) OR ab(“information system*”) 2,478
S2: ti(“decisions taken”) OR ab(“benefits gained”) 323
S3: ti(“performance evaluation”) OR ab(“usability evaluation”) 1,318
S4: S1 OR 2 OR 3 4,043
S5: ti(usability*) OR ab(usability*) 281,279