Course

Project and Production Management

Indian Institute of Technology Delhi

This course on Project and Production Management is designed to provide students with a comprehensive understanding of the dynamics involved in managing projects and production processes. Through a series of lectures, participants will learn key concepts and practical tools necessary for effective project management and production strategies.

The course covers a range of topics, including:

  • Project identification and selection
  • Appraisal techniques
  • Resource management
  • Scheduling methods
  • Risk assessment and evaluation
  • Production system life cycle
  • Inventory management

Participants will engage in practical exercises to apply learned techniques, enhancing their ability to make informed decisions in real-world scenarios. The lectures also emphasize the importance of team leadership and organizational behavior, ensuring that students appreciate the human aspects of project management.

By the end of the course, students will be equipped with the skills necessary to lead projects efficiently, utilize appropriate modeling tools, and navigate challenges in both project and production management environments.

Course Lectures
  • This module provides an overview of project and production management, introducing key concepts and frameworks that define the field. Students will explore the roles and responsibilities of a project manager, as well as the various types of projects and production systems.

    Key topics include:

    • The importance of project management
    • Differentiating between project management and production management
    • Overview of project life cycles
  • This module provides an overview of project management principles, emphasizing the importance of structured frameworks in achieving project success. Students will learn about various project management methodologies and their applications.

    Topics covered include:

    • Project management methodologies
    • Project objectives and scope definition
    • Stakeholder identification and management
  • This module focuses on project identification and screening, teaching students how to assess potential projects by evaluating their feasibility and alignment with organizational goals. The screening process is critical in determining which projects to pursue.

    Key elements include:

    • Criteria for project selection
    • Tools for evaluating project feasibility
    • Aligning projects with strategic objectives
  • This module covers the first part of project appraisal, focusing on the methods and criteria used to assess potential projects' viability. Students will learn how to conduct economic and technical analyses to support decision-making.

    Topics include:

    • Cost-benefit analysis
    • Financial feasibility studies
    • Technical evaluation of projects
  • This module continues with project appraisal, delving deeper into financial analysis techniques and their implications for project selection. Students will learn about various financial metrics and how they influence project decisions.

    Key topics include:

    • Net present value (NPV)
    • Internal rate of return (IRR)
    • Payback period analysis
  • This module introduces the concept of project selection, equipping students with strategies to choose the most suitable projects based on various criteria. The selection process is crucial for managing resources effectively.

    Topics include:

    • Project selection criteria
    • Multi-criteria decision analysis
    • Tools for project prioritization
  • This module focuses on project representation, emphasizing how to present project plans effectively to stakeholders. Students will learn how to create visual aids and documentation to communicate project objectives.

    Key elements include:

    • Techniques for visual representation
    • Creating project documentation
    • Communicating with stakeholders
  • This module discusses consistency and redundancy in project networks, highlighting the significance of having clear and efficient project workflows. Students will learn about network diagrams and how to identify redundancies.

    Topics covered include:

    • Creating project network diagrams
    • Identifying redundant activities
    • Ensuring workflow efficiency
  • This module focuses on basic scheduling techniques using Activity on Arrow (A-O-A) networks, providing students with the tools to manage project timelines effectively. Students will gain hands-on experience in scheduling.

    Key areas include:

    • Understanding A-O-A diagrams
    • Scheduling activities and timelines
    • Analyzing project schedules
  • This module covers basic scheduling with Activity on Node (A-O-N) networks, allowing students to visualize project tasks and their interdependencies. Practical exercises will help solidify scheduling concepts.

    Key topics include:

    • Introduction to A-O-N diagrams
    • Scheduling tasks and estimating durations
    • Dependencies and critical path analysis
  • This module delves into project scheduling with probabilistic activity durations, teaching students how to incorporate uncertainty into project plans. Students will learn to analyze risks and develop contingency plans.

    Topics include:

    • Probabilistic activity duration estimation
    • Monte Carlo simulation techniques
    • Risk management and contingency planning
  • This module introduces linear time-cost trade-offs in projects, providing students with methods to analyze the relationship between time constraints and project costs. Students will learn how to optimize project timelines and budgets.

    Key areas of focus include:

    • Understanding time-cost relationships
    • Identifying trade-off opportunities
    • Optimizing project schedules and costs
  • This module covers project crashing techniques with multiple objectives, teaching students how to accelerate project completion while balancing costs and quality. Students will engage in practical exercises to apply learned techniques.

    Key topics include:

    • Identifying project constraints
    • Strategies for project acceleration
    • Balancing cost, time, and quality
  • This module focuses on resource profiles and leveling, teaching students how to manage project resources efficiently. Participants will learn techniques to balance resource allocation and prevent overallocation.

    Key areas include:

    • Understanding resource profiles
    • Resource leveling techniques
    • Strategies to mitigate overallocation
  • This module discusses limited resource allocation, highlighting the challenges and strategies for managing scarce resources in projects. Students will learn methods to prioritize resources effectively.

    Topics include:

    • Identifying resource constraints
    • Strategies for effective allocation
    • Prioritization techniques for resource management
  • This module covers project monitoring and control using PERT/Cost methods, equipping students with tools to track project performance and manage costs effectively. Students will learn how to adapt plans based on performance metrics.

    Key elements include:

    • Understanding PERT/Cost methodologies
    • Tracking project performance
    • Adapting project plans based on metrics
  • This module focuses on team building and leadership in projects, emphasizing the importance of effective teamwork and leadership styles for successful project delivery. Students will learn strategies to enhance team collaboration.

    Key areas include:

    • Building effective project teams
    • Leadership styles and their impact
    • Enhancing team collaboration and communication
  • This module addresses organizational and behavioral issues in project management, exploring how organizational culture and behavior impact project success. Students will learn to navigate these dynamics effectively.

    Topics include:

    • Organizational culture and its effects
    • Behavioral dynamics within project teams
    • Managing conflicts and fostering collaboration
  • This module discusses the use of computers in project management, highlighting various software tools and technologies that facilitate project planning, execution, and monitoring. Students will gain hands-on experience with relevant tools.

    Key areas include:

    • Project management software
    • Technology for collaboration and communication
    • Data analysis tools for project performance
  • This module focuses on project completion and review, guiding students through the processes involved in finalizing projects and evaluating their outcomes. Participants will learn effective techniques for project closure.

    Key elements include:

    • Finalizing project deliverables
    • Conducting project evaluations
    • Lessons learned and knowledge management
  • This module introduces students to the life cycle of a production system, detailing the various stages from design to operation. Understanding the life cycle is crucial for effective production management.

    Key topics include:

    • Stages of the production life cycle
    • Design and planning considerations
    • Operational management strategies
  • This module discusses the role of models in production management, highlighting various modeling techniques used to optimize production processes. Students will learn how to apply these models in real-world scenarios.

    Key areas include:

    • Types of models in production
    • Benefits of modeling techniques
    • Application of models in decision-making
  • This module provides insights into the financial evaluation of capital decisions, equipping students with tools to assess investment opportunities. Financial evaluation is crucial for informed decision-making in production management.

    Key topics include:

    • Capital budgeting techniques
    • Evaluating return on investment (ROI)
    • Risk assessment in capital decisions
  • This module discusses decision trees and risk evaluation, teaching students how to visualize decision-making processes and assess associated risks. The use of decision trees is vital for strategic planning in production management.

    Key areas include:

    • Constructing decision trees
    • Analyzing risk probabilities
    • Making informed decisions based on analysis
  • This module introduces the process of introducing new products and services, providing students with strategies to effectively manage product development from conception to launch. Understanding market needs is key to successful introductions.

    Topics covered include:

    • Market research and analysis
    • Product development lifecycle
    • Strategies for successful product launches
  • This module focuses on the economic evaluation of new products and services, equipping students with tools to assess potential profitability and sustainability. Economic evaluation is crucial for informed decision-making.

    Key areas include:

    • Cost analysis and pricing strategies
    • Market demand forecasting
    • Evaluating profitability and scalability
  • This module addresses product mix decisions, teaching students how to optimize product offerings based on market needs and profitability. Understanding market dynamics is essential for effective product mix strategies.

    Topics covered include:

    • Analyzing product performance
    • Market segmentation and targeting
    • Strategic decisions for product mix optimization
  • This module focuses on product and process design, equipping students with tools to innovate and improve production processes. Effective design is crucial for meeting customer needs and enhancing efficiency.

    Key areas include:

    • Principles of product and process design
    • Innovative design techniques
    • Evaluating design effectiveness
  • This module discusses issues in the location of facilities, emphasizing how site selection affects production efficiency and operational costs. Understanding location dynamics is vital for successful facility management.

    Key topics include:

    • Factors influencing facility location
    • Evaluating potential sites
    • Strategies for optimal site selection
  • This module introduces mathematical models for facility location, providing students with quantitative tools to analyze and optimize site selection. Understanding these models aids in making informed decisions.

    Key areas include:

    • Linear programming models
    • Geographical information systems (GIS) applications
    • Evaluation of facility location models
  • Lecture - 31 Layout planning
    Prof. Arun Kanda

    This module covers layout planning, teaching students how to design efficient facility layouts that enhance workflow and productivity. Effective layout planning is essential for operational success.

    Key topics include:

    • Types of facility layouts
    • Design principles for efficiency
    • Evaluating layout effectiveness
  • This module discusses computerized layout planning, introducing software solutions that aid in designing optimal facility layouts. Understanding technology's role in layout planning enhances design efficiency.

    Key areas include:

    • Software tools for layout planning
    • Benefits of computerized planning
    • Real-world applications of layout software
  • This module focuses on product layouts and assembly line balancing, teaching students how to create efficient layouts that enhance production flow. Understanding layout dynamics is crucial for operational success.

    Key topics include:

    • Designing product layouts
    • Balancing assembly lines
    • Evaluating layout effectiveness
  • Lecture - 34 Forecasting
    Prof. Arun Kanda

    This module covers forecasting techniques, equipping students with methods to predict future demand and enhance production planning. Accurate forecasting is essential for effective inventory and resource management.

    Key areas include:

    • Qualitative and quantitative forecasting methods
    • Data analysis for forecasting
    • Evaluating forecasting accuracy
  • This module focuses on the analysis of time series, teaching students how to interpret historical data for forecasting and planning. Understanding time series analysis is crucial for informed decision-making.

    Topics include:

    • Components of time series data
    • Techniques for time series analysis
    • Application of analysis in forecasting
  • This module introduces aggregate production planning concepts, equipping students with strategies to balance demand and production capacity. Effective planning is essential for optimizing resource use and meeting market needs.

    Key topics include:

    • Understanding aggregate planning processes
    • Techniques for capacity planning
    • Strategies for demand management
  • This module discusses modeling approaches in production management, teaching students various techniques to analyze and optimize production processes. Understanding modeling aids in decision-making and efficiency improvement.

    Key areas include:

    • Types of modeling approaches
    • Applications of models in production
    • Evaluating model effectiveness
  • This module provides insights into basic inventory principles, equipping students with foundational knowledge necessary for effective inventory management. Understanding inventory dynamics is crucial for operational success.

    Key topics include:

    • Types of inventory
    • Inventory valuation methods
    • Importance of inventory management
  • This module focuses on inventory modeling, teaching students techniques to optimize inventory levels while minimizing costs. Effective inventory modeling is essential for managing stock and meeting customer demands.

    Key areas include:

    • Inventory modeling techniques
    • Balancing inventory costs and service levels
    • Evaluating inventory models
  • This module covers Material Requirements Planning (MRP), equipping students with the tools to manage materials and resources effectively in production processes. Understanding MRP is key to successful production planning.

    Key topics include:

    • MRP concepts and components
    • MRP calculations
    • Integrating MRP into production planning
  • This module focuses on the scheduling of job shops, teaching students how to allocate tasks efficiently in a job shop environment. Effective scheduling is essential for maximizing productivity and reducing lead times.

    Key areas include:

    • Job shop scheduling techniques
    • Balancing workloads and resources
    • Evaluating scheduling performance