02_03_P2 Drawing the Current State Value Stream Map (VSM) - Acme Case Study

Industrial Engineering and Manufacturing
7 Feb 202121:08

Summary

TLDRThe video covers a detailed case study on Acme Stamping Company, focusing on the production of steel instrument panel brackets for vehicle assembly. It explains the value stream mapping (VSM) process, emphasizing the flow of materials and information across departments like stamping, welding, and assembly. The presenter highlights the current state of Acme's operations, discussing inventory levels, cycle times, and inefficiencies in production, such as delays and imbalances between departments. The goal is to identify areas for improvement using lean manufacturing principles to optimize workflow and reduce lead times.

Takeaways

  • 🔧 Acme Stamping Company produces steel instrument panel bracket assemblies for vehicle assembly plants, serving both left-hand and right-hand drive models.
  • 🚚 The company's customer is the State Street Vehicle Assembly Plant, requiring 18,400 pieces per month, with 12,000 of type LH and 6,400 of type RH.
  • 🏭 Acme operates in three main departments: Stamping, Welding, and Assembly, with daily shipments to the customer.
  • 📦 Michigan Steel Company supplies raw material (steel coils) to Acme twice a week on Tuesdays and Thursdays.
  • 📊 Acme's Production Control Department manages forecasts from the customer (90, 60, 30 days) and issues weekly schedules for internal departments and six-week forecasts to suppliers.
  • ⏳ Stamping department has an automated 200-ton press with a cycle time of one second, but with a 5-day inventory backlog before processing.
  • ⚙️ The welding workstations have manual processes, with varying cycle times (39 and 46 seconds), and accumulated inventory between departments creates inefficiencies.
  • 🛠️ The assembly workstations have cycle times of 62 and 40 seconds, and despite 100% reliability, there's significant inventory buildup before assembly.
  • 📈 The value-added time is just 188 seconds, compared to a total flow time of 23.6 days, indicating significant inefficiencies and delays in the system.
  • 🔍 There is considerable imbalance (mura) in the system, with excessive work-in-process inventory and cycle time differences between departments, leading to waste and inefficiency.

Q & A

  • What is the main focus of the Acme Stamping case study?

    -The case study focuses on Acme Stamping Company, which produces steel instrument panel bracket assemblies for vehicle assembly plants. The analysis involves creating a current Value Stream Map (VSM) to identify inefficiencies in the production process.

  • What are the key departments involved in Acme’s production process?

    -The key departments in Acme's production process are Stamping, Welding, and Assembly. These departments are responsible for different stages of the manufacturing process.

  • Who supplies the steel coils to Acme, and how frequently are they delivered?

    -The steel coils are supplied by Michigan Steel Company, and deliveries are made twice a week, on Tuesdays and Thursdays.

  • What is the daily customer requirement from Acme Stamping, and how is it structured?

    -The customer, State Street Vehicle Assembly Plant, requires 18,400 pieces per month, which includes 12,000 left-hand brackets and 6,400 right-hand brackets. The components are shipped daily, with 20 brackets in a tray and up to 10 trays on a pallet.

  • How does Acme’s production control department coordinate with both its suppliers and customers?

    -Acme’s production control department coordinates with customers by receiving 90, 60, and 30-day forecasts and daily firm orders. It communicates six-week forecasts and weekly confirmed orders to Michigan Steel Company, their supplier. The department also issues weekly build schedules to Acme’s production departments.

  • What are the cycle times and machine reliability rates for the stamping and welding processes?

    -The stamping machine has a cycle time of 1 second and a reliability (uptime) of 85%. The first welding workstation has a cycle time of 39 seconds with 100% reliability, while the second has a cycle time of 46 seconds and 80% reliability.

  • How much inventory is observed between the stamping and welding stages?

    -Before the stamping process, there are five days' worth of steel coils. After stamping, there are 4,600 pieces of type LH and 2,400 pieces of type RH waiting to be spot welded.

  • What are the main issues identified in Acme’s production process?

    -The main issues in Acme’s production process include excessive waiting times and queues between processes, leading to high work-in-process inventory and low inventory turnover. There is a significant contrast between the long product lead time (23.6 days) and the short value-adding time (188 seconds).

  • What is the total product lead time at Acme, and how does it compare to the value-adding time?

    -The total product lead time within Acme’s factory is 23.6 days. In contrast, the value-adding time (the time spent on actual productive work) is only 188 seconds, highlighting inefficiencies in the process.

  • What lean tools could be used to improve Acme’s production process?

    -Lean tools such as Value Stream Mapping (VSM) can be used to identify waste (muda), imbalance (mura), and overburden (muri) in the system. Acme’s production process could benefit from reducing work-in-process inventory, balancing cycle times, and improving material flow between departments.

Outlines

00:00

🔍 Introduction to Acme Stamping Case Study

In this opening segment, the speaker introduces the Acme Stamping case study. The focus is on producing components for vehicle assembly plants, specifically steel instrument panel brackets in left-hand and right-hand versions. The company works with three departments: stamping, welding, and assembly. The steel is supplied by Michigan Steel Company twice a week, while the State Street assembly plant, the customer, requires 18,400 pieces per month. The production operates on two shifts, and manual processes pause for breaks.

05:03

📊 Production Control and Forecasting

This section explains Acme's production control system, which coordinates between the customer, supplier, and internal departments. The customer provides 90-, 60-, and 30-day forecasts, and daily confirmed orders. These are entered into a materials requirement planning (MRP) system, which issues six-week forecasts to Michigan Steel. Weekly schedules are sent to Acme’s internal departments. The discussion covers the necessity of ERP software for efficient coordination and the key role of the production control department in balancing inventory and production.

10:03

🛠 Detailed Breakdown of Acme’s Departments

This paragraph dives into the operational specifics of the stamping, welding, and assembly departments. Key metrics like cycle times, changeover times, and machine reliability are provided. The stamping department uses a 200-ton press, while spot welding and assembly processes are manual. Observed inventories and production outputs are noted, emphasizing the differences in efficiency and reliability across the various workstations. The shipping department stages products for daily shipment to the customer.

15:05

📦 Visualizing Acme’s Current State with Value Stream Mapping

The speaker begins outlining how to create a current state value stream map (VSM) for Acme. The map depicts the customer, supplier, production processes, and inventory levels between processes. Details of inventory and production timing are provided for each department. The speaker stresses the importance of accurate data collection for building the VSM and explains the symbols used to represent processes, inventory, and material flow in the diagram.

20:06

⏱ Calculating Lead Time and Process Efficiency

This section covers how to calculate lead time and work-in-process inventory in terms of days. For instance, the inventory between stamping and welding workstations is 7.6 days' worth of production. The total lead time from raw material to finished product is calculated to be 23.6 days, with only 188 seconds of actual value-adding time. The contrast between available time and value-adding time highlights inefficiencies, such as excess waiting and queue time between processes.

⚙️ Identifying Imbalance and Waste in Acme’s Production

The speaker wraps up by identifying areas of waste (muda), imbalance (mura), and overburden (muri) within Acme’s production. Disparities between cycle times across departments cause bottlenecks, leading to inefficient inventory turnover. The speaker suggests that the assembly department may be overworked due to higher cycle times and concludes with the need for further analysis to reduce waste and improve the production flow. The video description offers a link to the future state VSM.

Mindmap

Keywords

💡Value Stream Mapping (VSM)

VSM is a lean-management method for analyzing the current flow of materials and information necessary to deliver a product. In the video, the speaker discusses drawing the current state VSM for Acme Stamping, highlighting the stages from raw material to finished product and focusing on inefficiencies like delays and imbalances in the system.

💡Acme Stamping Company

Acme Stamping is the case study company discussed in the video, which manufactures components for vehicle assembly. The company is used to illustrate the practical application of VSM, with a focus on its departments like stamping, welding, and assembly. The case revolves around optimizing the production of a steel instrument panel bracket assembly.

💡Customer Requirements

The customer in the case study is the State Street Vehicle Assembly Plant, which orders 18,400 components monthly. The video emphasizes understanding these requirements, including daily shipments and specific quantities, to map the production flow accurately and address inefficiencies in Acme Stamping’s processes.

💡Cycle Time

Cycle time refers to the time it takes to complete one production cycle at each workstation. The video discusses different cycle times for various processes at Acme, such as one second for stamping and 39 seconds for welding. These variations in cycle time contribute to imbalances in the production system.

💡Changeover Time

Changeover time is the time required to switch between tasks or reconfigure machinery for different products. The video mentions that changeover time for stamping is one hour, while other manual processes have minimal or no changeover time. This impacts the overall production efficiency.

💡Inventory

Inventory refers to the amount of materials or products at various stages of production. The video details observed inventories, such as 4,600 pieces of LH and 2,400 pieces of RH components after stamping. High inventory levels between processes highlight inefficiencies and are a key focus of the VSM analysis.

💡Production Control Department

This department coordinates production schedules and material flows between Acme’s departments, customers, and suppliers. In the video, it’s described as central to managing forecasts and issuing build schedules. Its role in receiving customer orders and managing material requirements is crucial for smooth production.

💡Lead Time

Lead time refers to the total time it takes for a product to move through the entire production process, from raw material to finished goods. In Acme’s case, the lead time is calculated as 23.6 days. The video contrasts this with the value-adding time of 188 seconds, emphasizing the significant delays and inefficiencies.

💡Supplier

The supplier in this case is Michigan Steel Company, which provides steel coils to Acme Stamping. The video highlights the importance of coordinating with suppliers, noting that raw materials are delivered twice a week. Effective communication with suppliers is essential for maintaining the flow of production.

💡Uptime/Reliability

Uptime, or reliability, refers to the percentage of time a machine or process is operational and productive. The video notes that stamping has 85% uptime, while other manual processes have 100%. This disparity in machine reliability is another factor contributing to inefficiencies in Acme’s production system.

Highlights

Acme Stamping produces steel instrument panel bracket assemblies for both left-hand and right-hand drive versions of an automobile.

The customer is the State Street Vehicle Assembly Plant, which requires 18,400 pieces per month, broken down into 12,000 left-hand and 6,400 right-hand drive brackets.

Acme operates three departments: Stamping, Welding, and Assembly, with products shipped daily to the customer.

Michigan Steel Company supplies raw materials to Acme, delivering steel coils twice a week, on Tuesdays and Thursdays.

The production control department manages both supplier and customer interactions, using an MRP system to coordinate activities.

Acme receives 90, 60, and 30-day forecasts from the customer and sends six-week forecasts to the supplier.

The Stamping process uses an automated 200-ton press with a cycle time of one second and a changeover time of one hour. Machine reliability is 85%.

Spot welding processes (two workstations) have manual operations with varying cycle times (39 and 46 seconds) and 100% and 80% reliability, respectively.

Assembly workstations have cycle times of 62 and 40 seconds with no changeover time, and both have 100% reliability.

Acme has significant work-in-progress (WIP) inventory before and between processes, indicating inefficiency in material flow.

The product lead time, from raw material to finished product, is 23.6 days, but the value-added time is only 188 seconds.

A notable imbalance exists between the cycle times of different departments, leading to inefficiencies and potential bottlenecks in production.

There is a large amount of waste (Muda) in the system, with substantial waiting time and queues between processes.

The total available time at each workstation is 27,600 seconds, compared to the minimal value-adding time, reflecting significant unused capacity.

The current state Value Stream Map (VSM) reveals several areas for improvement, with potential focus on reducing waste and improving inventory turnover.

Transcripts

play00:03

welcome back

play00:04

this session we will uh discuss acme

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stamping case study

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and we will draw current vsm for acme

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stamping

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so first we will go through the

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available information

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and i will request you to highlight or

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note down

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important information so that you have

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that

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information with you once we draw the

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current state

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we asm so acme stamping company produces

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several components for vehicle assembly

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plants

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this case concerns one product family a

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steel instrument panel bracket assembly

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in two types one is for left hand

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and right hand drive versions of the

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same automobile model

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these components are sent to the state

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street vehicle assembly plant

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that is the customer so

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basically there are three departments in

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acme they are stamping

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welding and assembly and the components

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are

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then staged and shipped to the vehicle

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assembly plant on

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a daily basis and we will go through

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this information

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of change over time later the steel

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coils are supplied by michigan steel

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company so that is the

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supplier for acme and it supplies

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the steel coils at twice a week

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on tuesday and thursday then we have the

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customer requirements or the

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requirements of the

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state street uh vehicle assembly plant

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so

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it requires 18 400

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pieces per month out of which 12 000 per

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month of type lh

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and 6400 per month of type rh

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customer plant operates on two ships

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with overtime if necessary

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pelletized returnable tray packaging

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with

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20 brackets in a tray and up to 10

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trays on a pallet the customer orders in

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multiples

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of trays and there are 20 brackets in a

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tray or

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in other words there are 200 brackets

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on a pallet one daily shipment

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to the assembly plant by a truck

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now the work time of acme

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20 days in a month two shifts operation

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in all production departments

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eight hours every shift with overtime if

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necessary and

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two ten minutes breaks during each shift

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manual processes stopped during breaks

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now acme production control department

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that is actually the central department

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in this system because it coordinates

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with both customer and supplier as well

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as different departments of acme

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so this department receives

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a 90 60 and 30 day forecasts

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from the customer and enters them to

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materials requirement planning system

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it issues six-week forecasts to michigan

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steel company

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via mrp that is the supplier so

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receiving information from a customer on

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one side and

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and then and giving information

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to the supplier on the other side

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so it squares it secures coil steel

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by weekly order release to michigan

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steel company so there is a weekly order

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to the supplier to supply the

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steel coil it receives daily

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firm order from the state street or

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or the customer so apart from these

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forecasts

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there is a daily confirmed order from

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the

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customer as well so this production

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control department

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generates mrp based weekly

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departmental requirements based upon

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customer order

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work in process inventory levels finish

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good inventory levels and anticipated

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scrap and downtime

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so you can see there is a lot of

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different difference in the time unit so

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forecasts from the customer are received

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based on

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three months two months and one month

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period

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the forecast issued to the supplier

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is for six weeks

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then the instructions

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or production requirements actually for

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the internal departments of acme are

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delivered on weekly basis so it's very

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important to have some software in this

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case they are having erp

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to effectively coordinate all these

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activities

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so this mrp

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system actually is used to issue weekly

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build schedule to stamping welding and

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assembly processes that are the

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departments of acme

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and it also issues daily shipping

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schedule to the shipping department

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because the products are shipped

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daily to the customer

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production processes as there are three

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departments so first we have stamping

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the press makes parts for many acme

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products

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it's an automated 200 ton press with

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automatic material feed now these

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pieces of information are important

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the cycle time for stamping is one

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second

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so 60 pieces per minute change over time

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is one hour

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and machine reliability is 85

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or uptime is 85

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observed inventory is also important so

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we have five days of coils before

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stamping

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4 600 pieces of type lh

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finished stamping and 2 400

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pieces of type rh finish stamping so

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this is the inventory before

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the stamping machine and this is the

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inventory that

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is produced by the stamping machine

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and still is waiting for

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spot welding now spot welding

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workstation one

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is dedicated to this product family it's

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a manual process with one operator

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cycle time is 39 seconds change over

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time is

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10 minutes reliability is 100 and

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absorbed inventory

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is 1100 pieces of lh and 600

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pieces of type rh

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then we have spot welding workstation 2

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this is also dedicated to this product

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family

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it's also manual process with one

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operator but the cycle time is different

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it is 46 seconds

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change over time is the same 10 minutes

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reliability here is 80

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and inventory observed for this process

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is 1600 pieces of type lh and 850 pieces

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of type rh

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then there is assembly workstation one

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this is also manual process with one

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operator cycle time is 62 seconds

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there is no change over time because

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this is a manual process

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reliability is 100 percent and observe

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inventory is 1200 pieces of type lh and

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640 of type rh

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an assembly workstation 2 is also

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dedicated to this product family

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manual process with one operator cycle

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time here is 40 seconds

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change over time is none because it's a

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manual process reliability is hundred

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percent and observing

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20 is 27 100 pieces of type legend

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1440 pieces of type rh

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and finally we have the shipping

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department it removes parts from finnish

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goods warehouse and stages them for

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track shipment of the customer now we

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will draw the current

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state vsm so again we will draw

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the customer on the

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right side upper right corner so this is

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the symbol for

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the customer so that is state street

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assembly plant

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and then we have the data box that

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specifies the information

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uh the requirements for the customer so

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18 400 pieces per month

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12 000 of type l and 6400 type r

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the product is accounted in terms of

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trays

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so there are 20 pieces in a tray and

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this plant customer's plant operates in

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two ships

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then we draw the

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processes for

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so as we saw there is a five days

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inventory before stamping department so

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this is the icon for the process name of

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the process

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and then this is the data box specifying

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the data related to stamping so cycle

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time of one second change over time of

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one hour uptime or reliability of 85

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percent

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and this is the time for for the two

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shifts available

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and ep stand for every part every two

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weeks

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this is the inventory between stamping

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and

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welding station one and this was the

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observed inventory after stamping

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and these are the details for for

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welding workstation one i'm not reading

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them because

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i just saw this information on the

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previous slides

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again the observer inventory after

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welding station

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one and this is the the process icon for

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welding workstation two and this is the

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information about welding workstation

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two

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and same is about assembly workstation

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one

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and assembly workstation two and finally

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we have the shipping department

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and below this inventory icon

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we have written the inventory that is

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produced by this process so this is the

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inventory actually produced by assembly

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uh workstation two

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then we we draw the

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supplier so again

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the icon for the outside organizations

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so that is the same as it was for the

play10:35

customer

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so the material supplies is in

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in 500 feet coils and it is supplied

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every tuesday and thursday so you could

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see

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it is mentioned on this shipment icon

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the finished products actually supply to

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the customers are supplied daily

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but the raw material is supplied by the

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supplier to acme is

play11:01

twice a week on tuesday and thursday so

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we can have this filled arrow or

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a hollow arrow to show the movement

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of material from supplier to the

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organization or

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or the movement of finished products

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from the organization to the customer

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so the supplier of raw material is

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identified with the factory icon as i

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mentioned

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it in this case they deliver 500

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foot coils and a track icon and uh

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and a broad arrow indicate movement of

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finished goods to the customer and raw

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material to the site as i mentioned

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so finally we draw the production

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control department

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and here you will see a lot of

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information flow so this is

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again the symbol for for a department or

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a process to

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do rectangles to rectangular boxes

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joined together

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so you could see that there is a 1960

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and 30-day forecast

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from the customer to the production

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control department

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and there is a daily confirmed order

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from

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other customers to acme through its

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production control department this

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production control department

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delivers six-week forecasts to its

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supplier that is michigan steel company

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as well as weekly confirmed order

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to the supplier and there are

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weekly build schedules and weekly

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requirements

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communicated from this production

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control department to all departments

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of acme so that is the weekly schedule

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and here actually the head of the arrow

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is missing

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sorry for that so this is the push arrow

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so that is showing the material flow

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between departments of acme along with

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this symbol for

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inventory and again below

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these processes are the data boxes for

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for each of the process

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so push arrow symbol of inventory

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and the amount of inventory so this is

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uh almost the complete vsm we are

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missing just timeline so far

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so moving from right

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the customer its

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requirements then flow of information so

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this symbol

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is for electronic information flow

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and these symbols are for

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manual information flow

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and then on the on the left side we have

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the

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supplier and these are the departments

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of acme and flow is shown from left to

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right

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now finally the timeline

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so there was a five days of inventory

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uh before the stamping department the

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cycle time of stamping was one

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second the cycle time for welding

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station one was 39 for welding station

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two it was 46

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assembly one it was 62 and for assembly

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two it was 40 seconds

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now we have simply converted the

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inventory between different processes

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into into days so

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for example here the requirement for

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the customer was 18 400 pieces per month

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so

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that 18 400 pieces per month and

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and the organization works 20 days a

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month so 18

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400 over

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20 that will be equal to 920

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pieces per day so that is the daily

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requirement

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of of state street assembly plant

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now the work in process inventory

play15:00

between stamping and

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the welding station one is

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4600 plus 2400

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so that turns out to be 000 so that

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divided by 920 will give us

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the work work in process inventory in

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terms of days so that will be equal to

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4 600 plus 2400

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divided by 920

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that we had here so that will turn out

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to be

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7.6

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7.6 so this inventory of 7000

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brackets between stamping and welding

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station 1 is worth

play15:45

an inventory of 7.6 days

play15:51

similarly between welding station 1 and

play15:54

welding station 2

play15:56

we have 1100 plus 600 so that is 1700

play16:02

divided by 920 so that is

play16:05

equal to 1.88

play16:09

so the inventory of 1700

play16:13

brackets between welding station 1 and

play16:15

world welding station 2

play16:17

is equivalent to an inventory of 1.8

play16:20

days

play16:21

and similarly we can do the same for

play16:24

for this work in process inventory so

play16:26

that will be equal to

play16:30

2450 so 1600

play16:33

plus 850

play16:36

divided by 920 so that will be equal to

play16:42

2.66 or about 2.7

play16:47

and similarly this one uh

play16:51

18 040 divided by 920

play16:55

will be equal to a work work in process

play16:59

inventive worth

play17:00

two days and finally

play17:03

we have this 2700 sorry 2700

play17:09

plus 1440 divided by 920

play17:13

so that will be equal to 4.5

play17:18

so if we add these together they all

play17:21

turn out to be 23.6 days so in other

play17:26

words we can say that

play17:28

the raw material starting from here

play17:32

till this final process of

play17:36

assembly before shipping

play17:39

takes 23.6 days so the

play17:42

product lead time actually total flow

play17:45

time

play17:46

of the product within the factory is

play17:50

23.6 days

play17:53

and more importantly here is that the

play17:55

value adding time is just

play17:57

188 seconds so that is a big

play18:01

big contrast so if you if you make some

play18:04

calculations

play18:05

so we saw somewhere here actually

play18:09

that the available time at each

play18:11

workstation is

play18:12

actually two shifts so that turns out to

play18:14

be about

play18:16

this 27 600 seconds

play18:21

but the value-adding time throughout the

play18:23

whole

play18:24

value stream is just 188 seconds

play18:28

within the organization within acme it

play18:30

is just 188 seconds

play18:32

while we have 27 600 seconds available

play18:36

at each workstation so in simple words

play18:39

a lot of time is actually being wasted

play18:41

between processes

play18:43

there is a lot of weight or a lot of q

play18:46

is there

play18:48

between processes so the time spent

play18:51

within the organization is too much

play18:55

and the value adding time is too small

play18:58

so

play19:00

this will also result in actually low

play19:03

inventory turnover so that is actually

play19:06

how fast the

play19:08

raw material

play19:12

starting from here and these these coils

play19:16

is converted into the finished product

play19:18

here so the faster it is done the higher

play19:21

is the inventory turnover the slower it

play19:23

is done the lower is invented turnover

play19:25

so we can think about it we can

play19:29

analyze this system using different

play19:31

tools of lean

play19:33

and see how we can improve with these

play19:35

processes because there is

play19:37

a lot of imbalance so you can see

play19:39

actually

play19:41

there is a lot of

play19:44

mura as well in this case

play19:48

there is a lot of weight there there is

play19:51

a lot of q

play19:51

but there is a lot of unbalance uh

play19:55

there is a lot of imbalance in the

play19:56

system as well so a lot of work in

play19:58

process inventory here

play20:00

relatively less here but still it is a

play20:02

lot

play20:03

and of course you can see the difference

play20:06

of

play20:06

cycle time here as well one second in

play20:09

stamping but 39

play20:11

in welding station 1 and 46 62 40 so

play20:16

there is

play20:17

a lot of mura in this system as well

play20:20

so maybe practically speaking the

play20:23

assembly department

play20:26

one may have to work harder because of

play20:29

the higher

play20:31

cycle time as compared to others so

play20:33

eventually

play20:35

we may have mori in the system as well

play20:39

so the slower department will have to

play20:41

work harder

play20:42

in order to meet the customer

play20:44

requirements

play20:46

so we can further analyze it

play20:49

and see where improvements can be made

play20:53

and how we can move from this current

play20:55

state to the future state vsm

play20:57

and you can follow the video given in

play20:59

the description actually

play21:01

to see how the future state for acme

play21:04

was drawn thank you very much

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Etiquetas Relacionadas
Case StudyAcme StampingVSM AnalysisLean ManufacturingProduction ProcessAutomotive PartsInventory ManagementProcess EfficiencyCycle TimeLean Tools
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