Lean Manufacturing - Line Balancing and Facilities Location
Learn how to work out line balancing problems in lean production.
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The course Lean Manufacturing - Line Balancing and Facilities Location is the third course in the Applied Operations Management series. This course introduces the process of line balancing in lean manufacturing, which involves assigning tasks to workstations, so that workstations have approximately equal time requirements. Line balancing is used to minimize idle time and remove potential bottlenecks within a process.
The course begins by introducing the concept of line balancing and explains terminology associated with it, such as tasks, task precedence, task times and cycle time. You will then learn about heuristics for working out line balancing problems in lean production, such as the shortest processing time and the longest path in the network. You will also learn about cycle time, the maximum time allowed at each workstation before the work moves on, and how cycle time determines the rate of output.
The course then introduces the qualitative factors, such as raw materials, transport, and customer demand in determining the location of facilities. You will then learn about quantitative methods, such as the p-median model, which is used to model many real-world situations, such as the location of public or industrial facilities, warehouses and other facilities.
This course will be of great interest to professionals working in the area of operations management and lean production who would like to learn more about lean manufacturing, line balancing and facilities location, and to all learners who would like to know more about these important aspects of operations management.
Having completed this course learners will be able to: - Describe the line balancing problem; - Describe heuristics such as shortest processing time (SPT) and the longest path in the the network for solving the line balancing problem; - Describe qualitative factors in determining the location of facilities; - Describe quantitative methods such as the p median model.
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