Browse Our Supply Chain Catalog

Delve into the intricacies of implementing Total Quality Management (TQM). Explore best practices, from leadership commitment and employee involvement to technology integration and data-driven decision-making. Navigate the 12-step TQM implementation strategy, addressing challenges and pitfalls through comprehensive planning, leadership involvement, and robust data management. Gain insights into future trends, including Industry 4.0, digital transformation, and sustainability integration.

Dive into the core principles and practical applications of Total Quality Management (TQM). Explore key strategies for customer focus, continuous improvement, employee involvement, process management, and data-driven decision-making. Master the methodologies, tools, and techniques essential for successful TQM implementation, including quality control and assurance, the use of seven basic quality tools, Six Sigma techniques, Lean methodologies, and Quality Function Deployment (QFD).

Learn about the concept of Material Requirements Planning (MRP)and explore the context and objectives of MRP, the MRP process, and the role of the planner. In addition, learn how to effectively plan for materials needed in a timely manner and develop strategies on how to maintain an efficient inventory control system.

Learn how to determine the size and source of your errors through Mean Absolute Percentage Error and Forecast Bias. Discover which forecasts to measure - that is over, what time horizon, how often and at which level to measure as well as potential causes of forecast error and how to correct them.

Discover how to further improve the accuracy of forecasting by accounting for many different causal factors, such as advertising, discounts, and the state of the economy. Learn how to test how good your forecasting model is.

Explore principles of network design as they relate to multi-echelon supply chain modeling by learning how to make trade-offs when designing a network, and how to build an optimal distribution network. In addition, discover various advanced topics related to the field such as optimization techniques, demand forecasting and facility location models.

Gain an understanding of the principles of network optimization and analyze how different supply chains interact. Learn about modelling multi-echelon supply chains, trade-offs in network design, and building an optimal distribution network. Also, explore how to develop models that demonstrate the interrelationships between inventory levels at stock points within a logistics system as well as optimize their networks for performance with minimal cost.

Gain an understanding of international import and export documents used in North America, including information on preparing bills of lading and waybills, invoices, certifications, declarations, and letters of credit. In addition, learn the fundamentals of each document format along with the regulatory requirements for completing them correctly.

Learn how to optimize supply chain efficiency by linking supply chain control towers (SCCTs) and Theory of Constraints (TOC). By combining these two approaches, you can gain a comprehensive understanding of your supply chain and make data-driven decisions to improve efficiency and reduce costs.

Gain an understanding of order management and the order-to-cash cycle. Learn how to manage make-to-stock products, including inventory tracking, ensuring timely order fulfillment and proper invoicing. Discover how to handle make-to-order items with special attention applied to taking orders, allocating resources for production and pricing strategies.

Learn about availability checks, trade offs in order processing and steps to take to ensure a successful outcome. Gain insight into different types of orders and their unique challenges.

Discover the importance of perfect order fulfilment. Explore what a perfect order looks like, how to identify orders that may cause issues with customer satisfaction, what processes should be in place to ensure perfect orders are achieved and how to assess the success of ongoing operations.

Explore how errors in inventory records typically occur and how to prevent and mitigate them. Learn how to conduct a physical inventory audit, all the way through to finding and correcting the root cause of inventory errors. Gain an understanding of the importance of accurate inventory records and how to implement a cycle counting program, including determining priorities.

Learn what a problem is, how to contain a problem, how to determine the source of a problem, possible causes and ultimately the root cause. Learn how to implement a practical countermeasure to avoid any repeats and how to track the effectiveness of your problem-solving process.

Explore the types of machine learning, including clustering algorithms and other machine algorithms. Learn about hierarchical clustering, K-means, and where data mining and machine learning fit into the process of turning data into wisdom. Gain an understanding of supervised and unsupervised learning.