Abstract
This research has presented a discussion of related literature on decision support systems (DSS) and its role in production systems. The first part of the research presents DSS and how this has evolved until 2010. The next part of the research provides a discussion of the decision making process and the data mining phases as these relate to DSS. The last part of the research presents further discussion of DSS and various perspectives on the criteria that could be used for DSS. The criteria in the classification of DSS includes the following: user relationship; orientation; scope of use; type and frequency of decision making; mode of assistance; focus area; objective; capacity; degree of guidance; and, degree of non-procedurality. The research also included a discussion of industry 4.0, which is known as the fourth revolution in the industry.
Highlights
There has been a strong focus and need for production firms to enable and utilize systems that support production processes and which align with the dynamic business environment
A key advantage in the use of Decision Support System (DSS) is the capability in mining data effectively from a source to build the data into a structured form so that it can be used to support decision making of organizations fulfilling an objective of DSS in the minimization of errors in production processes
This research presented a review of literature of studies on Decision Support Systems
Summary
There has been a strong focus and need for production firms to enable and utilize systems that support production processes and which align with the dynamic business environment. The model-driven DSS has been utilized in expanded levels with a set of different models providing support for decision making across various parts of the supply chain including the manufacturing, planning and scheduling processes together with the logistics planning and management [22]. An alternative that is used in the retrieval of information is the text-based system which is considered as effective in mining organizational data in identifying the location of documents [22] Another category for DSS is the knowledge-driven DSS which is considered to have started from intelligent decision support systems with a related perspective that these are linked to artificial intelligence [31]. The DSS systems can incorporate advanced features for the retrieval of data and this leads to intermediate levels in the DSS classification based on non-procedurality[4]
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