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Showing posts with label six sigma. Show all posts
Showing posts with label six sigma. Show all posts

Friday, April 19, 2013

23 B Risk Management, Theory of Constraints and Process Improvement


I include risk management in this course because poor risk management is the second highest contributor to failure in projects or in major changes in operations for manufacturing and service organizations. (Don’t forget that team dynamics is the primary contributor to failure in such activities.) A second reason for including risk management is that inexperienced managers are the ones that typically ignore risk management or just give it lip service. If you are going to be an effective leader you must understand and practice sound risk management. Risk management is the topic of the following lecture.
I include theory of constraints because it is often left out of treatments of control and in some traditional approaches to manufacturing this failure leads to promoting techniques that are inappropriate and cause inefficiencies. The lecture following risk management is an introduction to theory of constraints and I hope it leads the student to further study of this important topic.
The remainder of this course addresses that portion of control that deals with what is typically called process improvement or quality improvement. The objective of the process improvement part of control is to assess work processes and to make continuous improvements to these processes so that employees’ jobs are easier and more cost efficient due to fewer and fewer quality problems and to reduced use of resources; including labor, materials and maintenance.
There are many versions of process improvement in use. Six Sigma and total quality management (TQM) are two popular versions. Kaizan is a Japanese term for continuous improvement and many organizations use this term to describe their process improvement work. Sometimes Kaizan is used to simplify processes without gathering data and some quality gurus are critical of non-data driven process improvement. Another term used by manufacturing organizations is Lean. Lean is using a set of tools or methods that improves manufacturing processes by eliminating waste and errors. Some organizations combine Lean and Six Sigma into Lean Six Sigma. Whereas both Six Sigma and TQM are proven to be effective I favor TQM, or data driven Kaizen if you prefer the Japanese term. Let me give short descriptions of the two approaches and then discuss the reasons I favor TQM.
Six Sigma thoroughly trains a small number of people and then empowers these trained specialists to work with other workers and managers to improve processes throughout the enterprise. These specialists get titles according to the amount of training they have received, e.g. those with extensive training are usually called black belts or master black belts. An experienced manager is selected to manage the specialists and their process improvement activities. Other managers are given overview training so that they know what to expect and what is expected of them.
In the version of TQM that I have practiced all employees in the enterprise, workers and managers, receive about 50 hours of basic training in process improvement techniques. A very few receive additional training in special techniques and serve as a resource to all the workers and managers. After training, all workers and managers are empowered to work on process improvement of the processes they own, i.e. the processes they use in their day to day work. There is a coordinator to authorize teams and facilitate access to any data needed by the teams or to the specialists that provide analysis beyond the capabilities of the team. The authorization is necessary to prevent workers from getting involved in several teams at once and impacting productivity by spending too much time on process improvement at the expense of process execution.
Either of these approaches is effective and if your enterprise is already involved in one of these or a related approach then stick with it. If your enterprise is not yet involved in process improvement then I strongly recommend the TQM approach. The advantage of TQM is that it empowers every employee to control processes they own. This empowerment results in two benefits compared to approaches like Six Sigma that empower only a few specially trained personnel. First, empowering employees to have control over their own processes is highly motivating. It is one of the things required for employees to reach Maslow’s highest level of needs fulfillment, i.e. self-actualization. Second, employees at any level know more about the processes they own than their supervisors, or any specialist, because they are more intimately involved with the processes. They feel, smell, hear and experience details of their process that supervisors or specialists do not experience. They are better at recognizing what aspects of their processes need improvement first, second and so on. They are also better at developing improvement approaches because often they have been thinking about better ways to do their job for a long time. They are inclined to look for improvements that make their job easier as well as more cost effective.
The disadvantages of the Six Sigma type approaches from my experience are that sometimes the workers resent outside experts coming to change their work processes and the outside experts aren’t as familiar with the work processes as are the employees that own the processes. I have observed that the process owners tend to create simple and effective improvements whereas the highly trained experts tend to go for elegant and expensive improvements, but not necessarily any better improvements. Another disadvantage is that the experts attack the most important processes first and work their way through enterprise processes a few at a time, depending on how many experts there are. With TQM all processes are subject to attention at any time. The process owners naturally prioritize processes they own but even simple processes get attention that are unlikely to be addressed in a Six Sigma approach until all higher priority processes have been addressed.
An apparent disadvantage of TQM is that all employees must be trained and therefore the training costs tend to be higher than for Six Sigma, assuming only a few employees are given the full Six Sigma training. I believe this extra cost is more than offset by the more comprehensive attack on process improvement that TQM achieves and from the increase in employee motivation that results from empowering employees to have control over their own processes. TQM also requires a more careful introduction to empowering employees after they have been trained. There must be boundaries to the empowerment and these boundaries must be carefully communicated to the employees as they are empowered. Otherwise employees adapt their individual definitions of empowerment and some naturally expand the boundaries beyond what is acceptable in an efficient enterprise that is under control. Obvious examples of items employees are not empowered to change include recipes, standards and accounting rules; changes of which must be handled very carefully and usually with management involvement.
Exercise
This is an introductory lecture and no exercise is required unless the student is unfamiliar with text book methods of control for manufacturing, projects and service organizations and with the differences between financial accounting and management accounting. If you aren’t familiar with these methods of control and cost management then take the time now to learn the basics. It is important to effective process improvement that changes to processes do not violate sound basic principles. It may be frustrating to put this course on hold while you study other subjects for several weeks but it is beneficial in the long term. If you are familiar with these basics then go on to the next lecture.

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Tuesday, April 9, 2013

23A Introduction to Control and Process Improvement


Basics
The lectures up to this point deal with the management functions of staffing, motivating and communicating. These functions are the portion of effective leadership that derives from the fundamentals of Theory Z and are the people related functions. Executing these functions effectively are necessary to achieving highly motivated workers.  Now I turn to processes. Effective organizations require both highly motivated and well trained people and effective processes. Even the most highly motivated people with superior skills cannot be successful if they are encumbered with processes that produce defective products or services. In addition, even the best processes encounter problems from time to time due to changes in input materials, worker actions, business environment or machine related problems that are often subtle and hard to identify. Therefore the effective leader must have the skills needed to improve processes that produce defective outputs and the skills to fix and maintain good processes when unforeseen changes cause problems.
Processes involve the management function of control. Control is a complex management function and is specialized to the organization type. Whereas most of the fundamental principles of control are the same for different types of organization the implementation is vastly different for manufacturing, service or project organizations. Also specialization is necessary for nonprofit organizations compared to profit based organizations and within the many types of service organizations, e.g. health care vs. education.
A comprehensive treatment of the control function is beyond the scope of this course. This course treats four aspects of control that apply to all organizations. These are risk management, theory of constraints, process improvement and leading the team. Early in this course effective leadership was defined to be derived from combining the principles of Theory Z and Process Improvement. The theory of constraints can be considered part of process improvement although it was developed separately and is treated separately here. I do not know the formal history of risk management but it is certainly a critical part of the control function and a necessary skill for effective leaders so it is included here. Leading the team is of course the fundamental job of the organization’s manager and I’ll end with a brief description of a process that has proven effective for many organizations.
An important tool related to control that is essential in today’s environment is Taguchi methods for design of experiments. These are statistical methods that require a well-trained person to use effectively. Low and mid-level managers should have sufficient training to be able to identify when Taguchi methods might apply to problems in their organizations. Every enterprise should have access to a person with extensive training in these methods. It can be the same person experienced in statistics as necessary for oversight of process improvement activities discussed in later lectures. It is important to allow only well trained individuals to design and monitor Taguchi experiments. Properly used Taguchi methods save time, money and result in higher quality designs and products. However, used by inadequately trained personnel these methods can lead to costly mistakes.
I do not treat Taguchi design of experiments further in this book because of the extensive training necessary to be of value. Based on my experience with these methods I recommend that students seek training from trainers familiar with the students’ type of organization. Seeing examples of the methods use on problems familiar to students help them recognize where the methods can be useful in their organizations. Students in engineering organizations can benefit from reading Don P. Clausing’s book “Total Quality Development: A Step-By-Step Guide to World Class Concurrent Engineering” and Madhav S. Phadke’s book “Quality Engineering Using Robust Design”. Students in manufacturing, research in any science, and perhaps all students, may benefit from Genichi Taguchi and Yoshiko Yokoyama’s “Taguchi Methods: Design of Experiments”, although I have not personally read this book. I regret that I cannot recommend specific training sources for students in marketing, advertising, bio-technologies and other fields involving statistics but I suspect some research would find such sources.
In studying Taguchi’s methods do not confuse Taguchi’s strategy for quality engineering with his design of experiments methods. Only engineering managers need to be familiar with Taguchi’s strategy for quality engineering, which has the three stages of system design, parameter design and tolerance design. Taguchi’s design of experiment methods have much wider utility. Reading Wikipedia’s discussion of Taguchi methods provides students with a good starting point for more in-depth study of methods pertaining to their work.
The primary emphasis of the remainder of this course is on process improvement. Before beginning these subjects I provide some background relating to control in order to convince the student that control must be tailored to the type of organization.
Background on control
I assume that the student is part of an enterprise that has effective cost and schedule controls in place and that the student understands these methods. Presumably these are standard methods of control for manufacturing, services or projects as appropriate for the student’s organization. If these assumptions are incorrect and/or the student doesn’t know how control differs for manufacturing, services and projects then self-study is needed. I recommend Part II, Chapters 4-10 of “Production and Operations Management” by James B. Dilworth.
Unless the student is in the financial organization of the enterprise study in management accounting is recommended. Management accounting differs from the accounting used in financial departments, which is often tailored to tax laws and accounting standards. These tax and associated accounting standards are fine for their intended purpose but they do not provide a simple and clear picture of the costs of operating an organization or enterprise. This often leads to managers doing stupid and incorrect things in attempts to manipulate overheads in hopes of reducing costs. To easily understand and manage costs correctly the methods of management accounting that focus on cash inflows, cash outflows and true product costs are preferable. A book I have found helpful is “Managerial Accounting- Concepts for Planning, Control, and Decision Making” by Ray H. Garrison.
Control methods must match the organization type; applying methods appropriate to manufacturing to projects results in drastic decreases in effectiveness and vice versa. A few comments help to explain why control methods must match the organization type.
A manufacturing organization might have a split of costs of 80% material and 20 % labor whereas a project might have 80% labor and 20% material. In this example materials costs drive manufacturing costs and effective manufacturing control minimizes inventory and work in progress while maximizing through put per day or per hour. Labor cost drives overall cost in the project example and effective project control requires maintaining plenty of spare parts and even spare assemblies so that schedule delays due to lack of parts are avoided. The cost of a few extra spares is small compared to the “marching army” costs of labor idled while waiting for parts to be delivered if a part fails or is damaged. Note that both organizations are maximizing the productive work per time period but the most effective method of handling material depends on the material/labor cost split. Most service organization’s costs are almost all labor so that the details of how material costs are handled have little impact on the organization’s success. Restaurants are an exception in which the cost of food ingredients is a significant portion of overall costs and must be managed carefully to achieve business success.
Note also that research and development (R &D) is a project so control for R & D in a manufacturing organization should be different than that for production; a requirement sometimes lost on poorly trained manufacturing managers. Similarly, purchasing personnel trained for a manufacturing organization typically don’t understand control for R & D and try to impose constraints appropriate only to manufacturing, e.g. no sole source procurements.
Mangers of R&D activities in manufacturing organizations should expect problems with purchasing and stand up to purchasing people. In a manufacturing organization that I managed at one stage in my career the purchasing manager insisted that the sole source procurements the R & D people wanted were illegal until I had a government auditor personally explain to him that he was wrong.
A similar problem can happen when the quality department in a manufacturing organization is also involved in R&D or project work in the same organization. They may have rules calling for source inspection that are appropriate for production material but not for special parts needed for R&D or projects, e.g. parts that cannot be handled except in a special environment.
There are sometimes sound business reasons for combining two types of organization in the same business unit, e.g., manufacturing and projects or manufacturing and services. If one type is much larger than the other type in such combinations then the management tends to be from the larger type. Unless these managers are familiar with the different control needed for each type of organizations they can cause a lot of inefficiencies. If you find yourself managing in a mixed organization make sure you learn the proper control techniques for each.
Exercises: There are no exercises for this introductory lecture.
If you find that the pace of blog posts isn’t compatible with the pace you  would like to maintain in studying this material you can buy the book “The Manager’s Guide for Effective Leadership” in hard copy or for Kindle at:
or hard copy or for nook at:
or hard copy or E-book at: