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BENEFITS OF DOCUMENT
- Learn how to synergistically use advanced process mapping approaches to iteratively develop valuable insights about the process under investigation
- Learn how to apply analytics to process decision points and to gain valuable insights into solving process problems
- Learn how advanced technique process mapping can achieve significantly more knowledge and process improvement than other approaches
DOCUMENT DESCRIPTION
This course is an exemplary instructional course on process mapping. It uses a true-to-life example of a Pizza Parlor to show the use and power of SIPOC, Shingo, Linear Flow, and Swimlane process maps. Basics process mapping through the development of very detailed maps are taught, but most importantly how different mapping approaches are used together to achieve extraordinary results. This course teaches the use of all of the four maps to synergistically solve a true-to-life problem, greatly enhancing the knowledge and understanding of process mapping. It then goes beyond to demonstrate how process maps enable the capture of easy to obtain, yet extremely insightful information for increasing process efficiency and effectiveness.
What This Course Provides
This 35-page course provides learners with a thorough understanding of the terminology and methodology associated with SIPOC, Shingo, Linear Flow, and Swimlane process maps. It is presented in FranklinGood's comprehensive and highly visual learning format. It includes an embedded video on the identification of waste (TIMWOOD). This course will help learners understand how advanced technique process mapping can achieve significantly more knowledge and process improvement than other approaches.
Learning Objectives
- Learn how to perform SIPOC, Shingo, Linear Flow, and Swimlane process maps.
- Learn how to synergistically use these four process mapping approaches to iteratively keep developing valuable insights about the process under investigation
- Learn how to apply analytics to process decision points and to gain valuable insights into solving process problems
- Learn how to identify process steps that are generating defects
- Learn that process maps can identify time constraints and to make improvements
- Learn how to maximize the knowledge and benefits obtained from an advanced approach to process mapping
Extended Benefits from this Course
Our approach to advanced process mapping techniques is very comprehensive. We teach you how to extend the power beyond the normal process mapping events. You will learn how to identify defects, waste, time, non-value-add, process step interactions, and countermeasures to root causes.
When team members and process members cooperate to create process maps, using advanced techniques, some very important things tend to occur:
- Significantly more insights are obtained regarding process problems and improvement opportunities.
- A common base of knowledge and understanding is quickly developed.
- Every team member contributes.
- Communication is clear and easily understandable.
- Consensus is reached with less conflict.
- Action and results are more easily obtained due to the interactions, team effort and common understanding.
Train the Trainer Services
Train the Trainer services can be conducted via virtual or on-site for this course. Please request details and pricing by emailing your request to:
Got a question about the product? Email us at [email protected] or ask the author directly by using the form to the right. If you cannot view the preview above this document description, go here to view the large preview instead.
Source: Advanced Process Mapping PowerPoint document
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Advanced Process Mapping
Sold by FranklinGood (this author has 11 documents)
This business document is categorized under the function(s):
It applies to All Industries
File Type: PowerPoint (pptx)
File Size: 26.1 MB Number of Slides: 35 (includes cover, transition slides)
Related Topic(s):
Process Mapping
Purchase includes lifetime product updates. After your purchase, you will receive an email to download this document.
Initial upload date (first version): Feb 22, 2021 Most recent version published: Feb 22, 2021
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