Instructions
For this assignment, you will be required to read the following prompt and chart and answer the questions that follow.
Yahoo Widgets, Inc. (YWI) is a widget manufacturer in Williamsburg, Virginia. YWI receives raw material sheets of plastic from Tribe Plastics, once per week, on Monday, for the family of widget models it produces. These widgets are then shipped to another manufacturer, Acme Gadgets, Inc. (AGI), for inclusion in its family of gadgets, which are sold to end users. For its new product line, the gadget manufacturer requires two types of widgets, large and small, that are packaged in returnable trays holding 55 widgets for shipment. The trays are returned, empty, to YWI after the widgets are used by AGI. The manufacturing process consists of a thermoforming activity that transforms the sheets of plastic into a “rough” widget, which requires a drilling process step and a grinding and sanding process step before the packing and shipping process step. These steps and related information are as follows:
| Process Steps | Step Name | Step Description |
|---|---|---|
| Process Step 1 | Thermo-form |
|
| Process Step 2 | Drill |
|
| Process Step 3 | Grind, Sand |
|
| Process Step 4 | Pack and Ship |
|
The idea that lies behind the calculations associated with a VSM is Little’s Law -Little’s Law is a ratio that states: Inventory = Rate X Time
Rate may also be called Throughput Rate. Time may also be called Flow Time.
Units matter! Make sure that your units are consistent. Inventory is whatever is being mapped as flowing through the process—our unit of analysis. It could be widgets, cars, burritos, customers, or patients. Time units can be represented as days, hours, minutes, or seconds, just make sure to be consistent when you are calculating values. Units of days are frequently used for inventory buffers when they are particularly large (long). When times are short, minutes or seconds may be used—this is often the case for activities (processing/value-adding work).
Little’s Law relies on a few simplifying assumptions…we use long term averages, and we assume the process is operating in a stable manner (not speeding up/slowing down), and that the process is full (not starting up/stopping). Under these assumptions, long-term averages do a good job of representing the average process performance, and the VSM is like a “snapshot” of this long-term view.
Process mapping doesn’t have to be VSM. While VSM is the underlying tool for improving processes according to Lean principles, simpler process maps with much less data can be used in many different contexts as a useful starting point to solve problems.
Key takeaway: if you have an issue (defects, rework, something takes too much time, the process can’t meet demand), and it involves a process that is repeated (a series of activities used to transform inputs into outputs), it is worth sketching out a simple process diagram to make sure everyone involved with the process has a common understanding of how things work and where the issues occur.
I have been working on process improvements for longer than I’m willing to admit to you! What is consistent in my experience is that organizations—small and large, young and old—find value in mapping and agreeing upon how things actually work in their processes.
Once a map is agreed upon, it becomes much easier to identify, quantify, and prioritize problems, and to understand how different improvement ideas might or might not work. One framework for doing this type of process improvement that is grounded in operations management is Lean/Six Sigma. Full coverage of these ideas is beyond the scope of this course but touched on throughout the materials.
Questions
Value Stream Mapping (VSM) is a powerful tool used in Lean manufacturing to visualize, analyze, and improve processes. In this assignment, we will construct a value stream map for Yahoo Widgets, Inc. (YWI), a widget manufacturer based in Williamsburg, Virginia. We will also calculate various key performance metrics to gain insights into YWI’s manufacturing cell.
To create a value stream map, we’ll start by mapping out the four process steps in YWI’s widget manufacturing process:
For simplicity, we’ll focus on the main flow of widgets and note setup (changeover time) and batch sizes for each activity. The map will illustrate the flow of widgets through these steps.
Takt time is the available production time divided by customer demand. In this case, the manufacturing cell operates for two shifts of 8 hours each, which amounts to 16 hours per day. The customer demand is 5,000 widgets per day. Therefore, the takt time is:
Takt Time = Available Production Time / Customer Demand Takt Time = (16 hours/day * 60 minutes/hour) / 5,000 widgets/day Takt Time ≈ 0.192 minutes/widget
This means that YWI needs to produce one widget approximately every 0.192 minutes to meet customer demand.
Production lead time includes both processing time and buffer time. Based on the provided data, we can calculate the lead time for each step:Thermo-form: Cycle time (15 seconds) + Setup time (15 minutes) = 15.25 minutes
Drill: Cycle time (32 seconds) + Setup time (25 minutes) = 25.53 minutes
Grind, Sand: Cycle time (22 seconds) + Setup time (27 minutes) = 27.37 minutes
Now, we add up the lead times for each step:
Total Lead Time = Thermo-form lead time + Drill lead time + Grind, Sand lead time Total Lead Time = 15.25 minutes + 25.53 minutes + 27.37 minutes ≈ 68.15 minutes
The overall production lead time for the entire process is approximately 68.15 minutes.
Processing time, also known as value-adding time, is the sum of the processing times for each step:
Total Processing Time = Thermo-form cycle time + Drill cycle time + Grind, Sand cycle time Total Processing Time = 15 seconds + 32 seconds + 22 seconds = 69 seconds (or 1.15 minutes)
The total processing time for the manufacturing cell is approximately 1.15 minutes.
The total capacity of the manufacturing cell can be calculated based on the bottleneck, which is the slowest processing activity. In this case, the bottleneck is the Grind, Sand step with a cycle time of 22 seconds.
Total Capacity = (Number of Shifts * Shift Length) / Bottleneck Cycle Time Total Capacity = (2 shifts * 8 hours/shift * 60 minutes/hour) / 22 seconds Total Capacity ≈ 436.36 widgets/day
So, Yahoo Widgets, Inc. can produce approximately 436.36 widgets per day based on the capacity of the slowest processing step.
Value Stream Mapping provides valuable insights into YWI’s manufacturing process. We have calculated key metrics, including takt time, production lead time, processing time, and total capacity, which can help YWI optimize its operations to meet customer demand efficiently while minimizing waste and bottlenecks. This analysis lays the foundation for process improvements and lean manufacturing practices, aligning with the principles of continuous improvement.
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