Information Systems for Industrial Engineering

A Concepts-to-Design Approach

Information Systems for Industrial Engineering is a structured and practice-oriented textbook designed to help Industrial Engineering students, educators, and practitioners understand how information systems support modern organizational operations, decision-making, and process improvement-especially within the Philippine industrial context.

Unlike books that focus only on technology, this text presents information systems as socio-technical systems that integrate people, processes, data, and technology. It emphasizes systems thinking and structured analysis, enabling learners to examine organizational problems methodically and design effective information-based solutions.

The book follows a concepts-to-design progression, guiding readers from foundational theories to applied system modeling and project development. Each chapter links information systems principles directly to Industrial Engineering functions such as operations management, production planning, logistics, quality management, and productivity analysis.

Part I - Foundations of Information Systems

Introduces core concepts of information systems, including the distinction between IS and IT, system attributes, data-information-knowledge relationships, organizational system types (TPS, MIS, DSS), and systems frameworks relevant to Industrial Engineering practice.

Explains the Systems Development Life Cycle (SDLC), feasibility analysis, requirements determination, logical versus physical design, and major system development methodologies. Philippine-based manufacturing, SME, and LGU scenarios illustrate real-world application.

Provides detailed coverage of structured analysis philosophy and tools, including context diagrams, Data Flow Diagrams (DFDs), data dictionaries, process specifications, decision tables, and decision trees. Emphasis is placed on process clarity, documentation discipline, and information flow analysis.

Guides students through project proposal development, system modeling, presentation, and evaluation. This section strengthens analytical, documentation, and communication skills essential for academic projects and professional practice.

• Clear concepts-to-design learning structure

• Strong alignment with Industrial Engineering principles

• Step-by-step system modeling techniques

• Philippine-context case studies and examples

• Practical exercises and project-based learning

• Ideal for classroom use, self-study, and system analysis projects

• Industrial Engineering students

• IS and Systems Analysis instructors

• Practicing Industrial Engineers

• Researchers and project developers

This book equips future Industrial Engineers with the analytical foundation and practical tools needed to design, evaluate, and improve information systems that support efficient, data-driven, and sustainable organizational performance.