The Development of an Integrated Planning and Decision Support System (IPDSS) for Enhanced Organizational Performance

The Development of an Integrated Planning and Decision Support System (IPDSS) for Land Consolidation (Springer Theses)

5 out of 5

Language	:	English
File size	:	6402 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Word Wise	:	Enabled
Print length	:	102 pages
Hardcover	:	360 pages
Item Weight	:	14.6 pounds
Dimensions	:	6.14 x 0.81 x 9.21 inches

FREE

In today's rapidly evolving and increasingly complex business environment, organizations face unprecedented challenges in making timely and informed decisions. To navigate these challenges effectively, organizations require a robust and integrated planning and decision support system (IPDSS) that empowers them to:

• Align strategic objectives with operational plans
• Optimize resource allocation and utilization
• Enhance collaboration and communication among stakeholders
• Derive actionable insights from data analytics and predictive modeling
• Simulate and evaluate alternative scenarios to mitigate risks

The development of an IPDSS is a transformative undertaking that involves the integration of various technologies, methodologies, and best practices. This comprehensive guide delves into the intricate details of IPDSS development, providing a roadmap for organizations to harness its transformative power.

Chapter 1: Laying the Foundation for IPDSS Development

The initial chapter establishes the conceptual framework for IPDSS development, outlining its key components and functionalities. It explores the need for integrating planning and decision-making processes, highlighting the benefits and challenges associated with IPDSS implementation. This chapter provides a solid foundation for understanding the subsequent chapters.

Chapter 2: Data Management and Analytics

Chapter 2 delves into the critical role of data management and analytics in IPDSS development. It discusses data sources, data integration techniques, and data quality best practices. The chapter also explores various data analytics techniques, such as descriptive analytics, predictive analytics, and prescriptive analytics, and their applications in IPDSS.

• Data Sources: Internal databases, external data providers, sensor data
• Data Integration: Data warehousing, data federation, data virtualization
• Data Quality: Data cleaning, data validation, data standardization
• Data Analytics Techniques: Descriptive analytics, predictive analytics, prescriptive analytics

Chapter 3: Planning and Optimization Models

Chapter 3 focuses on the development of planning and optimization models within the IPDSS framework. It introduces various modeling techniques, such as linear programming, nonlinear programming, and simulation, and their applications in strategic planning, resource allocation, and supply chain management. The chapter also discusses the integration of these models with data analytics to enhance decision-making.

• Modeling Techniques: Linear programming, nonlinear programming, simulation
• Applications: Strategic planning, resource allocation, supply chain management
• Model Integration: Data analytics, optimization algorithms

Chapter 4: User Interface and Collaboration

Chapter 4 emphasizes the importance of a user-friendly and collaborative IPDSS interface. It discusses the design principles for effective user interfaces, including dashboards, visualizations, and reporting tools. The chapter also explores collaboration features, such as role-based access, communication tools, and workflow management, to facilitate seamless collaboration among stakeholders.

• User Interface Design: Dashboards, visualizations, reporting tools
• Collaboration Features: Role-based access, communication tools, workflow management
• Usability and Accessibility: Cross-platform compatibility, mobile optimization

Chapter 5: Implementation and Evaluation

Chapter 5 provides a comprehensive guide to IPDSS implementation and evaluation. It discusses the importance of organizational change management, stakeholder engagement, and training. The chapter also outlines key performance indicators (KPIs) for measuring the effectiveness of IPDSS implementation and provides best practices for ongoing evaluation and improvement.

• Organizational Change Management: Communication, training, stakeholder involvement
• Key Performance Indicators (KPIs): Decision-making time, resource utilization, stakeholder satisfaction
• Ongoing Evaluation and Improvement: Performance monitoring, feedback collection, system updates

: The Transformative Power of IPDSS

The concluding chapter summarizes the key benefits and transformative impact of IPDSS. It highlights the role of IPDSS in enhancing organizational performance, improving decision-making, and gaining a competitive advantage. The chapter also emphasizes the need for continuous improvement and innovation in IPDSS development to keep pace with evolving business needs.

The development of an Integrated Planning and Decision Support System (IPDSS) is a strategic investment that empowers organizations to:

• Make data-driven decisions
• Optimize resource allocation
• Improve collaboration and communication
• Gain a competitive advantage

By following the comprehensive guidelines outlined in this book, organizations can harness the transformative power of IPDSS to achieve their strategic goals and drive sustainable growth.

The Development of an Integrated Planning and Decision Support System (IPDSS) for Land Consolidation (Springer Theses)

5 out of 5

Language	:	English
File size	:	6402 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Word Wise	:	Enabled
Print length	:	102 pages
Hardcover	:	360 pages
Item Weight	:	14.6 pounds
Dimensions	:	6.14 x 0.81 x 9.21 inches

FREE