Ytilizing quality function deployment with fuzzy logic for enhancing

مقدم أطروحة جامعية

al-Sabbagh, Muhammad Abd al-Rauf Abd al-Razzaq

مشرف أطروحة جامعية

Kitan, Husayn Salim

الجامعة

الجامعة التكنولوجية

الكلية

-

القسم الأكاديمي

قسم هندسة الإنتاج و المعادن

دولة الجامعة

العراق

الدرجة العلمية

دكتوراه

تاريخ الدرجة العلمية

2011

الملخص الإنجليزي

-The problem of competition and globalization is one of the important problems in the production processes, and the main goal of the manufacturing firms.

Due of this competition, there is a need to develop a product by improving its planning stage.

The research problem of this thesis is how to improve product planning to be competitive in more than one market.

This is done through the distinction between engineering specifications of the product and the nomination of the basic engineering specifications.

These are dependant upon the development process according to the opinions of different designers and customers.

They take into account more than one goal to achieve the principle of competition for the product.

Therefore the need arises to use important tools to improve product planning which is one of the product development stages, such as the first matrix "House of Quality" (HOQ) in "Quality Function Deployment" (QFD), in addition to use the fuzzy logic.

Hence, the aim of this research is to obtain competitor new developed product specifications in original market as well as other competitive markets.

To achieve this goal, a new hybrid methodology has been built, different from the traditional methods.

This new methodology utilize QFD with fuzzy logic together for improving product planning stage thus the product development, because this stage precedes the manufacturing stage and is regarded as an important stage in product development.

The proposed methodology consists of six models; namely: (1) Current crisp QFD Model, (2) Virtual crisp QFD Model, (3) Initial fuzzy QFD Model, (4) Final fuzzy QFD Model, (5) Optimum fuzzy QFD Model, and (6) Optimum crisp QFD Model .

The proposed methodology was applied practically to demonstrate the models' applicability and suitability, and develop the woolen blanket produced at al-Fatteh factory in Baghdad.

The calculations were carried out by using MATLAB programme.

For obtaining the results, inputs of proposed methodology were for seventeen customer needs (WHATs) and fourteen measured engineering specifications (HOWs).

In addition to the important data of customer needs that were collected by using a special questionnaire made for this purpose, depending on scale system consisted of (7) levels.

Matrix data of the relationship between HOWs and WHATs were obtained from QFD team depending on scale system consisted of (6) levels.

Practical results showed new values and rankings for the new engineering specifications of the desired product to be developed.

It was possible to use the values of these specifications by the designer in its crisp format rather than the fuzzy.

Thus it was possible to find out the critical and important specifications for improving product planning which should be considered in product development.

These specifications have high ranking and scaled optimum crisp technical ratings (SOCTR) of over (50%).

SOCTR has values as follows: (1) (1.0000) for percentage of wool specification (H6), then (2) (0.8717) for profit per unit specification (H9), (3) (0.8522) for square metric weight specification (H3), (4) (0.7308) for percentage of cotton specification (H8), (5) (0.6386) for temperature of washing specification (H14), and (6) (0.6214) for thickness specification (H4).

The calculation of Percentage Difference (DF) for specifications between the current product and the new one was done to calculate the new crisp values for new developed product and development direction for product specifications.

The (+) sign indicates that there should be a decrease in the specification value while the (-) sign indicates that there should be an increase in the specification value.

(DF) values for each critical specification were as follows: (1) (+0.9418 %) for specification (H6), (2) (+1.5998 %) for specification (H9), (3) (-1.4637 %) for specification (H3), (4) (+1.4578 %) for specification (H8), (5) (-4.7475 %) for specification (H14), and (6) (+3.7256 %) for specification (H4).

The results of (DF) were within the Percentage of permitted change (A) for engineering specifications in the factory which is (±5%) without the need for a new investments in product development process.

Inaccuracy in the results was treated that dependent upon data of designers, customers' questionnaire and scale systems with qualitative terms.

Minor specifications that can be neglected were defined as those with low ranking and scaled optimum crisp technical ratings (SOCTR).

Where SOCTR has values as follows: (1) (0.1528) for width specification (H2), (2) (0.1284) for length specification (H1) and (3) (0.1269) for width of Selvedge specification (H5).

Based on the results obtained, it is recommended that as extension of the current research to get more accurate specifications for new developed product as a future research project.

التخصصات الرئيسية

الهندسة المدنية

الموضوعات

• معالجة البيانات
• ضمان الجودة
• المنطق الضبابي

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-304934