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Meeting Change for OCTOBER!
The South Texas section of the SPE is excited to join with Rice University, University of Houston, Texas A&M and the Houston Technology center to co-host the Promoting Advanced Materials Across the Atlantic conference that will highlight opportunities in Europe and America for nanotechnologies and advanced materials. Specifically you may have an interest in the presentation of Dr. Marc Dupire, physical chemical of polyolefins department manager from Total Petrochemicals research center inBelgium. I hope that all will consider this as an exciting opportunity to network in a broader group and learn about some of the recent advances.
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Rapid Prototyping (#0322) Andreas Gebhardt, 2003, 379 pages $75.00 (originally $89.00) Encourages engineers to incorporate rapid prototyping in their daily routine. It illustrates the benefits that come with the use of models at any stage of the product development process and defines the different types of models. It gives comprehensive coverage on the fundamentals of rapid prototyping and the special capabilities. Demonstrating how RPT can be an effective means for evaluating design before costly commitments are made makes Rapid Prototyping an invaluable resource. This book presents rapid prototyping and its principles in a thorough way that enhances the learning experience. |
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Giant Molecules: Essential Materials for Everyday Living and Problem Solving, 2nd Edition (#0316) “Giant molecules” refers mainly to polymers, which are large molecules that exhibit specific physical and biological properties related to their shape, size, orientation, and environment. Giant Molecules will appeal to individuals who have a personal or professional interest in polymers, as well as to college chemistry and materials science students who study polymers. Contents Include: |
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High Performance Polymers (#0826) High Performance Polymers presents the most reliable and current data available about state-of-the-art polymerization, fabrication, and application methods of high performance industrial polymers. Chapters are arranged according to chemical constitution of the individual classes, beginning with main chain carbon-carbon polymers and leading to ether-containing, sulfur-containing, and so on.
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As I wrote this column, the Senate had approved the Emergency Stabilization Act of 2008, and the Congress was scheduled to consider it as amended since their first rejection. So what does that mean to us SPE members? And how should our professional society leadership respond?
Clearly, credit has tightened. It’s less available and more expensive. For business owners that can be very stressful. Many businesses used line-of-credit loans for working capital, and so their working capital just became less available and more expensive.
Many of our South Texas members work for large corporations which may be able to cushion this effect. (However, even large corporations have needed cash infusions.) However, several of our members work for smaller companies and own their own businesses. “They” say that companies should carefully review their suppliers and customers for financial viability. Collapse on either end is a problem. But that’s pretty obvious.
As short-term viability becomes more questionable, the planning cycle contracts. Cash flow is even more important than in the past. Unfortunately for plastics professionals, this could lead to reduced investment in training and professional development. On the other hand, dynamic times sometimes lead to workforce displacement. The optimistic companies assume they will survive, and they plan their staff to be even stronger in the end. In that case, strengthening the organization through repositioning and training is opportunistic.
Interestingly, as post-Enron, there is a lot of finger-pointing, reminding us all that honesty and integrity in business is a cornerstone, never to be violated.
This suggests a “back to basics” perspective. Live on what you earn, and earn what you earn. Develop open and candid relationships with customers and suppliers, recognizing that more than ever, we’re in this together.
Years ago, when I was SPE President, the governance, Council, read the book “The Will to Govern Well”. The book says that successful governance is built on Knowledge, Trust, and Nimbleness. Decisions must be data-driven. The decision makers must understand the needs and wants of their constituents, and they must earn the trust of those constituents to act in their best interest. Governors must be willing to invest in learning the basis for their decisions and act responsibly. But they cannot procrastinate either. They must be prepared to act in a timely way to minimize problems and maximize success.
The SPE Council will be meeting October 18 in Connecticut. I invite your input for that meeting, and I will communicate back to you the actions taken. The two key agenda items for this meeting will be the SPE budget and election of officers for 2009/2010.
If you’ve followed the SPE business stuff, you are aware that, like most professional societies, and like the plastics industry, we struggle to provide high value products and services while minimizing cost. The budget plans for about $100k in retained earnings on a $5M budget. Like many of our employers, SPE has reduced staff significantly--about 50% since 2002. Similarly, it has outsourced publishing of Journals and the magazine, while retaining editorial control. (This has actually been a great boost to member value--full access to ANTEC proceedings and JVAT ($57/yr to libraries) and PES ($1,195/yr to libraries). SPE rents a portion of it”s building to AIChE for operations, but it is willing to sell the building if a buyer is identified. You may have noticed a new website design. While it’s not perfect yet, it goes a long way toward enabling the roll-out of a plastics wiki tool, developed as “plastipedia”. The new website also furthers SPE’s electronic capabilities around conference registration, etc. The goal is to become more internet-centric to push technical information to members as well as to support inter-member technical exchange. Imagine “attending” an SPE conference in Europe via the SPE website. Or browsing through an expanded technical library of information. At this Council meeting, we’ll struggle with how to fund these important developments while avoiding significant increases in dues. We’ll also continue our discussion of how we grow globally, recognizing the growth of the plastics industry outside North America and Western Europe. Another personal interest for me is how we link members with emerging technology.
SPE is intent on attracting new members in the <35 age bracket. But the tiny font on the new website is a glitch--not a technique to eliminate those of us who require magnifiers! If you have ideas for attracting and retaining this next generation of plastics professionals, we’d like to hear them.
On all of these activities, I’ll appreciate your input. You can email me at donna.s.davis@exxonmobil.com
Thanks for your continuing support of your professional society; and let’s work to make it even better for all of us.
Donna Davis
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Gabriel Ventura, Ranganath Shastri, Miguel Ángel Vega CIATEQ Unidad SLP – UDIT
Abstract
It is possible to demonstrate that QFD (Quality Function Deployment) within a norm space permits to realize gap
analysis and investment plans for a complex plastics production plant, using its process capability in the last Quality house.
For the use of the same metric: DPMO, it is possible to compare man power, materials, maintenance, machinery,
environment and methods. In these terms it is feasible to benchmarking the investment plans.
Introduction
For a proper analysis, a thorough understanding of the layout of the specific plastics production plant is essential and this may require several site visits (Phase 1). In parallel the Voice of the customer (VOC) was obtained along with his CTQ´s.
For the Phase 2 the partition of the plants in master nodes and sub-nodes was possible: by taking into account the variation inherent to technology for the sub-nodes. A defect explosion was confined to allow a stable estimate of the mean and variance where a defect is any event that doesn’t fulfill or satisfy the specifications of the customer’s voice. Due to larger subgroups providing a greater sensibility to process changes.
This above information helps to apply the QFD for the 22 sub nodes. Master nodes and sub-nodes in this case are: 1. Raw Material Handling System 2. Polymerization Reaction System 3. Finishing Operations 4. Pelletization System 5. Packing/Filling 6. Warehousing 7. Order Shipping/Railcar System 8. Production Scheduling 9. Order Management 10. Supply Chain Management/Materials Handling 11. Process Water & Water treatment 12. Process Steam & Power Plant 13. Principal Electrical System 14. Instrumentation & Control System 15. Engineering & Plant Maintenance 16. Quality Control/Six Sigma 17. Environmental Hygiene & Safety 18. Administration (Executive, Marketing, Business Research, Communication, etc.) 19. Technology Center & Customer Technical Support 20. Product Sales & Sales Support 21. Training 22. Support Services (HR; Medical; Firefighting; Security; Cafeteria, Janitorial services, etc.) but in the last Quality house it was necessary to use a “lost function” [2], [3] in order to have the same scale instead of the weak form (basics steps for the present proposal.
Site Visits
During the site visits (Phase 1), a registration format was employed, which included considerations of technical aspects all equipments, systems, processes, environmental conditions, operation and maintenance conditions, training, etc. The results of these registrations would be applicable to a large extent on the subsequent stages. Table 1 contains only a representative sampling of the guide registration format applied.
In addition to the technical registrations, during each visit, the customer’s preference in relation to “customer requirements” was evaluated through the quality houses of the QFD studio, required for phase 2 of the project. The priority ranking of each node was carried out by the customer according to the following criteria:
a. consistent product quality
b. low operational cost
c. low maintenance cost
d. ease of maintenance
e. reactor efficiency > 95%
f. reactor down time < 10%
Depending on the node, the applicable criteria was ranked in priority, assigning the highest value to the one with the highest priority and number lowest value of 1 corresponding to the one with less relevance. However, the ranking criterion also allowed considering two or more criteria with the same priority numeric value. In this way, the “voice of the customer” was incorporated into the QFD case study, as an important input.
Reliability Study Applying The “Quality Function Deployment” Methodology (QFD)
The gathered information on defects by node and sub-node was stratified to assess the process capability on six-sigma deployments.
Quality Houses
As previously mentioned, in phase 1 of the project, the customer’s preference was obtained for each of the 22 nodes in terms of: low operation cost, reliability, efficiency, long life of the equipments , ease of maintenance, ease of detection and correct, performance, maximum power, calibration, availability and accessibility as relevant. In a QFD studio, each one of these terms of preference receives the keyword: (what).
On the other hand, for each sub-node) a list of attributes was developed. These attributes were denominated with the keyword: (how). Each (how) received a weight according to its contribution to each term or priority (what), building in this way, a matrix of importance denominated Quality “House 1”.
For the node 2 - Polymerization Reaction System – three main defects were identified:
As node 7 is constituted of 3 sub-nodes, a total of 3 Quality “Houses 1” were built for this node. The same reasoning applies to all nodes.
The product of the priority assessment or “what” by the attributes or “how”, allows understanding the specific weight of each attribute, as shown on the last line of the matrix numbers of the Quality “House 1”. The attributes or “how” of the Quality “House 1” with the most weight are carried over as the “what” of a second Quality House 2. Now the “how” of at the Quality Houses 2 consist of the number of the flaws found by sub-node. Once again, as many Quality Houses 2 may exist by node as depending on the number of sub-nodes or associated components for each node.
Stratification of Defects by Node
The compiled information on the registrations was stratified according to the defects found by, node and sub-node. Where defect is defined as any event that doesn’t fulfill or satisfy the specifications of the customer’s voice . An explosion of defects associated with each of the 22 nodes and sub-nodes the list of flaws, totaled questions around technical aspects of: equipment, systems, processes, operation and maintenance practices and training.
Each defect was valued according to its impact on the reliability, receiving a grade of 1 for little importance, 2 for medium importance and 3 for high importance. The averages of defects by node were obtained by dividing the sum of the valuation of each defect present by the number of potential defects [2].
The very high level of defects for node 18 can be attributed to the following reasons:
In the last house the weak form was replaced by “lost functions”, then the simples operations mentioned above are transformations to defects functions, into a norm space 0 < R < 5, in effect:
Given a space L: Vh x V => R [2], (1)
Where the vectorial space “V” has one internal product and it is the mean solution,
Vh is a subset of V,
Therefore there is just one vector v c V ,
Thus L(u)=k(un + c) = <u,v> (2)
With 0 ≤ u ≤ 1 (3)
u c Vh is the mean of standard deviation
k is 1,2 or 3 (grade of defect)
n is the node number
c is a real constant
The last Quality house now has the same scale and it is possible make comparison with the nodes; Corresponding
analysis included a Microsoft Excel Macro that allows the variation in evaluation criteria for a new defect mean attainment. At the same time, the program allows a calculation updating of the means by node once a defect is corrected.
Capacity of the Process Based on Sub-grouped Defects According to Limits
The centering and little dispersion of defects is fundamental to considering the adequate. For this, the capacity of the process, whose metric is based on the rationally sub-grouped defects, can be used.
The above mentioned list presents common nodes in that require attention of the highest priority. It is shown by these graphics the discrepancy between the favorable and unfavorable cases. This permits to envision the existence of the differences inside each net, either in used technology, or speaking about operative and maintenance practices. After we have obtained its defects per million of opportunities, a transformation within norm space is applied.
It is necessary that customer efforts focus first on the dispersion reduction and then improve the centering. However, where the best benefits are obtained by economic investment has to be verified in detail. Obviously, the necessary investment in infrastructure is much higher than the required in the therefore, a good option would be to start with an investment to obtain the most benefits at the bar mentioned before in particular. A lower investment that would yield yet higher benefits is without exception, presents opportunities for improvement in different nodes.
Because of that, each one deserves an individual inspection on the quantity and concentration of defects per node.
Definition Of Ideal A Plastics Production Plant And Investment To Escalate To World Class
Investment Fixed Cost per a Plastics Production Plant to escalate to world class. It is possible to define an ideal as the necessary estimated investment to escalate to world class. To achieve this end, the necessary acquisition expenses were investigated for the commercial equipment recommended on the technological studio performed in Phase 3 for the gap elimination. The costs indicated in this format don’t include engineering hours, consulting, installation or transportation.
Nevertheless, reaching the idealized conditions requires an evolutionary process, and an investment strategy in adequate technology. With the purpose of defining such investment strategy, each particular plant case was studied, to research which flaws are more convenient to eliminate with respect to the cost/benefit relationship.
And so, each plant process capacity graphics were analyzed, to obtain the nodes with the least investment provided the biggest benefit with respect to reliability.
Conclusions
It is possible to demonstrate that Quality Function Deployment (QFD) within a norm space permits assessment of investment plans in a Plastics Production plant, using its process capability (defects per million of opportunities, DPMO) in the last Quality house.
| Nomenclature | |
|---|---|
| u, v | Mean vectors |
| uh, vh | Approximations of mean |
| e | element |
| L | Functional of means |
| R | Real |
| V | Vectorial space |
| <u,v> | Scalar product of two vectors |
| c | Scalar |
| CTQ | Critical to Quality |
| Sigma | Standard deviation |
| QFD | Quality function deployment |
References
[1] Brun K. , Smalley, A., 2003 , “10071.01.203 PEMEX Final report”, Southwest Research Institute project, TX,
EEUU, pp. 6-22.
[2] Ventura, G., 2001, “Six Sigma project: A 10 33.5 piping GEK loads analysis”; e-Design Record Book, General
Electric, HP-IP volume, NY, EEUU, pp. 4-22.
[3] Taguchi, G., 1986, “Introduction to Quality Engineering”; Asian Productivity Organization; EEUU.




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President’s Message
Plastics Info from the Library
Bulletin Board
Breakfast Bunch Golf Outing
Tips to Help Promote Your Business
Book Bag
Councilor’s Report
Technical Article – Six-Sigma Approach
Celebrating the Plastics Community
with the Astros on September 8, 2008
Section Meetings October 17 November 10 December 8 January 12, 2009 February 22-25 March 9 April 20 May 11 |
Section Officers
President – Jeff Applegate
Blackwell Plastics
5606 Cavanaugh Street, Houston, TX 77021
713.643.6577 • jeff.applegate@blackwellplastics.com
President-Elect – Brandon Cleary
Texas Polymers Inc.
182 Burgundy Court, The Woodlands, TX 77384
281.229.4049 • brandon@texaspolymers.com
Vice President – Kurt Kayden
Greene Tweed & Co.
1930 Rankin Road, Houston, TX 77073
281.765.4500 • khayden@gtweed.com
Secretary – Harish Sangani
Poly Clean Technologies
4709 Highway 36 S. Suite #12, Rosenberg, TX 77471
832.595.9660 • harishsangani8@msn.com
Treasurer – Glenn Rasberry
Ametek/Westchester Plastics
206 A Hawthorne, Houston, TX 77006
713.899.0142 • glenn.rasberry@ametek.com
Councilor & Past President – Donna Davis
ExxonMobil Chemical Company
5200 Bayway Drive, Baytown, TX 77522-5200
281.834.2036 • donna.s.davis@exxonmobil.com
Committee Chairpersons
Advertising – Suzanne Biggs
281.240.0202 • sbiggs@tpcplastic.com
Education – Martin Husti
281.655.1919 • marty@tiaero.com
Golf Outing – Lynette Russo
281.481.9100 • lynnette@bapoly.com
Housing – Emery Jorgensen
713.827.1455 • emery@jorgensonmachinery.com
Newsletter –Kurt Hayden
281.765.4500 • khayden@gtweed.com
Membership – Gerry Fusco
713.594.7273 • Gafusco@aol.com
Past President – Donna Davis
281.834.2036 • donna.s.davis@exxonmobil.com
Polyolefins 2009 – Don Witenhafer
979.693.6836 • witenhafer2@cs.com
Technical Chair – Bob Portnoy
281.834.2899 • robert.c.portnoy@exxonmobil.com
Public Interest & Special Events – Noreen McCarthy
281.690.0632 • noreen@ictexas.com
Technical Program – Brandon Cleary
281.229.4049 • brandon@texaspolymers.com
Board Members
Paul Banks – 281.578.1440
paulbanks@fsicorp.com
Gerald Fusco – 281.225.4476
Gafusco@aol.com
Ray Johannessen – 281.252.5550
R.Johannessen@crodausa.com
Emery Jorgensen – 713.827.1455
emery@jorgensenmachinery.com
Mike McMahon – 713.495.6766
michael.mcmahon@polyone.com
Rajen Patel – 979.238.2254
rmpatel@down.com
William Talbott – 281.218.6305
whtalbott@cs.com
Tom Walsh – 713.245.7403
ts_walsh@sbcglobal.net
Gerry Wissler – 817.944.5135
gewissler@att.net
Don Witenhafer – 979.693.6836
witenhaferd@cs.com
Alternate Board Members
A Yush Bafna – 979.238.9060
aabafna@dow.com
Shawn Smith – 832.618.1500
ssmith@vertecpolymers.com
