Diploma in Applied Operations Management - Revised

Management and Administration
Free Course
This Diploma in Applied Operations Management course introduces the learner to the practical applications of operations management.
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  • Duration

    10-15 Hours
  • Assessment

  • Certification

  • Responsive

  • Publisher





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This course begins by showing learners how operations management decisions are based on forecasting, and how these decisions serve as the basis for developing worker schedules and tactical planning.

The course will introduce the linear programming technique and the Transportation Model, which can be used to obtain aggregate plans to minimize costs. Line balancing is used to reduce idle time and bottlenecks within a process. Line balancing is investigated in detail as is the terminology associated with it, such as tasks, task precedence, task times and cycle time.

You will learn about heuristics for solving problems in lean production, such as the longest path and the shortest processing time in the network. You will also learn about quantitative methods like the p-median model, which is used to recreate many real-world situations, such as the location of industrial or public facilities. Many models are available to determine how much inventory should be restocked, be it products or parts.

You will be introduced to inventory models such as the multi-period inventory model, the economic order quantity (EOQ) model and the single period inventory model. These models are explored in detail using worked examples.

This course will be of great interest to all learners who have completed the Diploma in Operations Management course as it investigates practical applications of this area. It will also be of great interest to all professionals working in the area of operations management or learners who are interested in operations management as a future career.

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Learning Outcomes

Having completed this course you will be able to:

  • Describe the time series forecasting
  • Explain simple forecasting models for time series data
  • Describe aggregate planning methodologies
  • Describe the Tabular method, Linear Programming method and the Transportation model
  • Describe the line balancing problem
  • Describe qualitative factors in determining the location of facilities
  • Describe the basics of inventory management
  • Describe different types of inventory models


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