Decision Support System (DSS) in Decision Making

Decision Support System (DSS) in Engineering Management

The advancement of information technology has significantly transformed the way engineering organizations make decisions. Today, data-driven approaches have become an inseparable part of both operational and managerial strategies. In the Bachelor of Engineering Management program, the application of Decision Support Systems (DSS) is one of the essential competencies taught to address the growing complexity of technical and industrial challenges.

What is a Decision Support System (DSS)?

A Decision Support System (DSS) is a computer-based system designed to support decision-making processes, particularly under complex, uncertain, or semi-structured conditions. It integrates data, analytical models, and an interactive interface to produce objective and accountable recommendations.

Jogiyanto (2003) emphasizes that DSS plays a key role in assisting middle managers in making semi-structured decisions by leveraging available data and analytical tools. Rather than replacing managerial roles, DSS provides support through information, analysis, and alternative options to enhance the quality of decisions made.

Key characteristics of DSS include:

• Fast and accurate data processing
• Quantitative analysis through mathematical models
• Scenario generation for alternative decisions
• Improved managerial efficiency and effectiveness in technical settings

Within the context of Engineering Management, understanding DSS equips students with a systematic, technology-based approach to solving industrial problems.

The Role of DSS in the Engineering Management Curriculum

The Engineering Management undergraduate program is structured to equip students with the ability to integrate technical knowledge with data-driven management. DSS is a core subject incorporated into several fundamental courses.

DSS-related courses include:

• Engineering Management Information Systems
• Quantitative Decision-Making
• System Modeling and Simulation
• Enterprise Resource Planning (ERP)
• Data-Based System Design

Through a combination of theory and practice, students are trained to analyze technical data and make decisions that impact production efficiency, logistics, project control, and industrial systems planning.

Also read: The Role of Engineering Management in Enhancing Infrastructure Project Efficiency

DSS Applications in Engineering and Industry

One of DSS’s main strengths lies in its flexibility across various engineering sectors. In real-world scenarios, DSS is a strategic tool for solving complex problems with data-driven solutions.

Examples of DSS applications include:

• Production Scheduling: Optimizing machine workflows and resource allocation
• Engineering Project Management: Evaluating project feasibility and operational risks
• Supply Chain and Distribution: Selecting optimal logistics routes based on cost and time
• Inventory Management: Managing stock while minimizing storage costs
• Machine Maintenance: Predicting maintenance needs using historical data

Clearly, DSS serves not only as an administrative tool but also as a strategic component in technical decision-making that directly affects organizational performance.

Core Components of a Decision Support System

To function effectively, a DSS must be built from key components that work in unison. Understanding these components provides Engineering Management students with the foundation to design efficient digital solutions.

Main components of a DSS include:

• Database: Stores relevant information used in analysis
• Model Base: Offers analytical tools such as mathematical, statistical, or simulation models
• User Interface: Connects users to the system through data input and visual display
• Knowledge Base: Contains rules, logic, and expertise to support decision-making

The integration of these four components creates a framework for fact-based, logical, and measurable decision-making.

Student Case Studies and Practical Applications

Students in the Engineering Management program don’t just learn the theory behind DSS they also apply it through practical projects and case studies. These experiences train them to develop systems that are relevant to real-world business and industrial environments.

Examples of student projects include:

• DSS simulation for construction project management
• Vendor selection system using the Analytic Hierarchy Process (AHP)
• Production scheduling optimization using linear programming
• Risk mapping in supply chains with analytics-based DSS

This project-based learning helps students master the integration of data, models, and decision strategies into a coherent system.

Opportunities and Challenges for DSS in the Digital Era

As industries enter the digital era, DSS is evolving into smarter and more connected systems, opening new opportunities while also presenting challenges that require adaptive skills.

Future opportunities for DSS development include:

• Integration with Artificial Intelligence (AI) to improve predictive accuracy
• Cloud-based DSS for remote and real-time access
• IoT-enabled DSS for real-time factory or field decision-making
• Leveraging Big Data for strategic decision-making scenarios

Challenges to address:

• Ensuring access to high-quality data
• Integrating technology in traditional sectors
• Developing human resource competencies

This is where Engineering Management graduates play a critical role with the skills to design and implement DSS solutions that are relevant, efficient, and adaptable to technological shifts.

DSS as a Strategic Skill for Engineering Managers

Decision Support Systems are vital tools in both technical and managerial decision-making. In the Engineering Management program, DSS is not only taught as a theory but also as a practical skill that enhances graduate competitiveness in the digital age.

Key benefits of DSS for graduates:

• Solving industrial problems using data-driven methods
• Enhancing accuracy and objectivity in technical decisions
• Preparing students for careers in technology- and data-driven environments

By mastering DSS, Engineering Management students are prepared to become not only technically proficient professionals but also strategic thinkers who are responsive to the challenges of modern industry transformation.

📌 To learn more about how Decision Support Systems are applied in engineering and management decision-making, explore the Bachelor of Engineering Management program at Telkom University, which integrates technology, data, and managerial expertise into a leading-edge curriculum.

Tags: Bachelor of Engineering Management | Engineering Management | Bachelor of Engineering Management Telkom University

Reference:

• Whetyningtyas, A. (2011). Peranan Decision Support System (DSS) Bagi Manajemen Selaku Decision Maker.