2026 IMAP Trainings
Each BGSU IMAP Training was developed by BGSU trainer industry experts and are ideal for learners with any type of manufacturing or related industry experience and a high school diploma or higher. All 2026 available trainings suggest that learners have basic algebra and basic Microsoft Excel knowledge.
Each training is a total of 16 hours to complete. All trainings are delivered fully online and self-paced within the listed 4-week period. Trainings include optional live trainer office hours and other interactive trainer opportunities, to ask questions and support your training experience.
Click each training below for a description, suggested pacing (4 hours each week), and a direct link to apply for enrollment.
Trainer: Dr. Christopher Kluse
Dates: March 9 to April 5, 2026 (4 weeks)
Training Description: The objective of the Quality Production module is to provide learners with a robust understanding of production systems and the role of quality in manufacturing environments. This module covers essential principles related to maintaining consistency, efficiency and product reliability on the production floor. Through a combination of theoretical concepts and practical applications, participants will explore quality planning, control processes and continuous improvement strategies used in industry settings. By the end of the module, learners will be able to evaluate production workflows, identify potential defects or inefficiencies and apply industry accepted quality tools to enhance manufacturing performance and reduce waste.
Learning Outcomes:
- Analyze and interpret control charts used for process monitoring
- Learn and practice tools used for statistical process control
- Identify and resolve potential quality issues in production systems
- Apply quality improvement tools to enhance manufacturing efficiency
Suggested Pacing:
- Week 1: Variation and Trend Analysis - Intro to Quality Production (4 hours)
- Week 2: Process Mapping and Documentation (4 hours)
- Week 3: Root Cause Analysis and Corrective Action (4 hours)
- Week 4: Quality Control Tools in Manufacturing Practice (4 hours)
Trainer: Dr. MD Sarder
Dates: March 9 to April 5, 2026 (4 weeks)
Training Description: The objective of the Manufacturing Supply Chain Management and Design module is to provide learners with essential knowledge and practical skills related to supply chain planning and operations management. This module focuses on the flow of materials, information and finances within a manufacturing environment. Participants will explore topics such as procurement, production planning, transportation and inventory management while gaining insight into how these areas contribute to efficient and cost effective supply chain performance. By the end of the module, learners will understand how to analyze and enhance supply chain processes to support organizational goals, improve responsiveness and reduce operational risks.
Learning Outcomes:
- Understand the fundamental concepts of supply chain management and material flow
- Identify and use forecasting and inventory control tools
- Analyze supply chain performance metrics
- Develop a supply chain strategy to support business objectives
Suggested Pacing:
- Week 1: Overview of Supply Chain and Transportation (4 hours)
- Week 2: Inventory Management Concepts and Techniques (4 hours)
- Week 3: Forecasting Methods and Applications (4 hours)
- Week 4: Supply Chain Performance Measurement and Improvement (4 hours)
Trainer: Dr. Christopher Kluse
Dates: April 6 to May 3, 2026 (4 weeks)
Training Description: The objective of the Quality Practices and Measurement module is to provide learners with a fundamental understanding of the essential principles and tools used in modern quality engineering and management. This module covers the basics of quality management systems, measurement concepts and improvement methodologies used in manufacturing and service industries. By the end of the module, learners will be able to interpret basic quality data, use common measurement tools and apply foundational quality practices to enhance operational performance and customer satisfaction.
Learning Outcomes:
Learners who successfully complete this module will be able to:
- Understand the fundamental concepts of quality engineering and management
- Identify and evaluate common quality measurement tools used in industry
- Analyze basic quality data for decision making
- Apply problem solving tools within the context of a quality management system
Suggested Pacing:
- Week 1: Quality Management Principles and Fundamentals (4 hours)
- Week 2: Measurement Systems Analysis (4 hours)
- Week 3: Problem Solving and Data Analysis (4 hours)
- Week 4: Statistical Tools in Quality Improvement (4 hours)
Trainer: Dr. MD Sarder
Dates: April 6 to May 3, 2026 (4 weeks)
Training Description: The objective of the Warehouse and Distribution Center Layout module is to provide learners with the knowledge and skills needed to design efficient layouts for warehouses and distribution centers. This module focuses on the principles of space utilization, material flow, storage solutions and operational efficiency. Participants will learn how to optimize layout designs to enhance productivity, reduce handling costs and improve overall logistics performance. By the end of the module, learners will be able to create effective layouts that support streamlined operations, maximize storage capacity and ensure smooth distribution processes in various industrial settings.
Learning Outcomes:
- Identify, assess, analyze and solve problems related to logistics distribution and warehousing issues
- Design distribution system that facilitates the efficient storage, distribution, sortation of products and processes around the global marketplace
- Develop facility layout and material handling system for smooth operations
Suggested Pacing:
- Week 1: Overview of Physical Distribution Systems (4 hours)
- Week 2: Warehouse Layout and Facility Design (4 hours)
- Week 3: Measuring and Benchmarking Warehouse Performance (4 hours)
- Week 4: Material Handling System in Warehouse (4 hours)
Trainer: Dr. Christopher Kluse
Dates: May 18 to June 14, 2026 (4 weeks)
Training Description: The objective of the Manufacturing Process Control module is to equip learners with essential knowledge and practical skills used to manage and optimize manufacturing processes. This module introduces key concepts related to process stability, capability analysis, control charts and variation reduction. Learners will explore how data driven decision making supports process improvement efforts and contributes to improved product quality and operational efficiency. By the end of the module, participants will understand how to monitor and adjust manufacturing processes in real time to reduce defects, increase consistency and support continuous improvement initiatives.
Learning Outcomes:
- Use AI and traditional control charts to detect and reduce process variation
- Interpret process capability indices
- Apply statistical methods for process monitoring and improvement
- Develop strategies for maintaining process control in manufacturing environments
Suggested Pacing:
- Week 1: Foundations of Manufacturing Process Control (4 hours)
- Week 2: Control Charting Techniques (4 hours)
- Week 3: Capability Analysis (4 hours)
- Week 4: Advanced Process Improvement Methods (4 hours)
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Artificial Intelligence and Machine Learning
Updated: 12/05/2025 02:15PM