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    Procedia Engineering 50 (2012) 78 87

    1877-7058 2012 Elsevier B.V...Selection and peer-review under responsibility of Bin Nusantara University

    doi:10.1016/j.proeng.2012.10.010

    International Conference on Advances Science and Contemporary Engineering 2012

    (ICASCE 2012)

    Improving Quality Product of A Motorcycle s Suspension at

    An Automotive Company Using Quality Function

    Deployment Value Analysis (QFDVA) (An Indonesian Case)

    Jonnya and Ilham Zaelani Kurnia b*a, bFaculty of Engineering, Bina Nusantara Universty, Jl. KH Syahdan No. 9, Palmerah, Jakarta, 11410, Indonesia

    Abstract

    A Motorcycle s suspension is a part of motorcycle that contributes in handling, braking, and providing safety and

    comfort by keeping the rider and passengers comfortably isolated from road noise, bumps and vibrations. In order to

    serve these functions, the suspension needs several components to be assembled as a complete motorcycle unit.

    Before implementing QFDVA, the company had over budgeted several related components used to isolate the unit

    form noise, which is preceively top priority by customer, on IDR 217,569. After implementing QFDVA, the company

    has found that in order to isolate the unit form noise, it shall lower its budget on those related components to IDR

    194,817 or about 12% from its original budget.

    2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Bina Nusantara

    University.

    Keywords: Voice of Customer, Quality Function Deployment and Value Added (QFDVA)

    1. Introduction

    In Indonesia, motorcycle plays an important role as transportation means. This is due to the lack of

    other cheap transportation means. This has been proven by the increasing number of motorcycle sales [1].

    Therefore, people nowadays have been demanding for both good quality and comfortable motorcycle as

    their means of transportation. On the other side, the automotive industry for manufacturing motorcyclehas also seen decrease due to competition among the players.

    In order to meeting consumer demands and overcoming the competition, an automotive company has

    to be both innovative and cost effective [2]. Most company only uses Quality Function Deployment

    (QFD) to produce good suspension but felt its cost-ineffectiveness due to the budget constraints. Budget

    constraints are made in order to keep the price to be competitive [3]. This has made the company need to

    analyze whether the output of QFD is also cost-effective using value analysis. Therefore, the company

    Available online at www.sciencedirect.com

    2012 Elsevier B.V...Selection and peer-review under responsibility of Bin Nusantara University

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    uses QFDVA in order to find what function really matters and how to distribute budget limit so the

    company could maintain its competitiveness.

    Figure 1. Suspension and motorcycle

    1.1 Research problems

    Based on the above background, there are several research problems described as follows:

    1. What function of suspension demanded by customers in priority order?

    2. How to allocate the limited budget to design all related components in manufacturing suspension tomaintain cost effectiveness?

    1.2 Objectives

    These research problems have led the company to set its objective of the improvement initiative as

    follows:

    1. To identify the function of suspension demanded by customers in priority order.

    2. To allocate the limited budget in order to design all related components in forming suspension so that

    the company could maintain its cost effectiveness.

    2. Research Methodology

    2.1 Problem Identification

    The suspension is a motorcycle spare part which main function is isolating road noise, bumps and

    vibrations. This part is formed from many components and the company needs to see whether these

    components have been effectively matched with consumer needs. The part needs to be cost effective as

    well. Therefore, the company has 2 problem set here such as the priori ty order of the functions and

    whether the components are cost effective nor not.

    2.2 Setting Objectives

    After having the problem identified, the company has set its objectives based on using the QFDVA

    method. The objectives are about determining the priority order of function based on customer needs and

    the effective cost allocation for each component in forming the suspension.

    2.3 Data Collection

    An in-depth interview was made among two selected groups. The first group was formed from the

    mechanical engineers from Product Research and Development (R&D) division of the company and theother was from Market Research Division to see whether the concept had marketability or not.

    2.4 Data Processing

    2.4.1 FAST Diagram

    In forming a FAST Diagram, an observation was conducted in order to learn more about the function

    of the suspension of a motorcycle through in-depth reviews based on the engineering manual book. In this

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    diagram, the function was divided into two parts which are primary and secondary function of the

    suspension.

    2.4.2 MUDGE Diagram

    The result of FAST Diagram was then reviewed through an in-depth focus group discussion (FGD) by

    the two selected groups which are engineers from Product R&D division and Market Research division.

    The result is used for mapping the MUDGE Diagram in order to show the relative importance of thesuspension spare part for the motorcycle.

    2.4.3 Resource Consumption Matrix

    After FAST and MUDGE diagrams were formed, the next step is creating the resource consumption

    matrix. This matrix was formed in order to match the components from a suspension with its function.

    This was done by determining whether it was related to certain function or not. If the component has 2

    related functions then the cost was divided by 2. By doing so to all components, then the company can

    derive the conclusion how much percentage of resource (relative cost of components) was consumed by a

    certain function of a suspension.

    2.4.4 Comparison of Relative Function and Relative Cost

    From MUDGE diagram, we can derive relative function of the suspension while from Resource

    Consumption Matrix, we have relative cost. These patterns are compared in a compare graphic. By using

    this graph, we can find out which function of the suspension spare part has higher cost than its neededfunction.

    2.4.5 Integrating QFDVA

    After gaining the patterns of relative function (RF), relative function (RC) and value index are gained,

    we combined it to create QFDVA matrix [4][5]. This matrix helped us to understand the optimal cost of

    each component compared to its function needed by the customers. In order to integrate QFDVA, we use

    the following methodology:

    Figure 2. Integrating QFD and VA

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    Figure 2 shows us how to integrate QFD and VA methods in QFDVA framework, while the QFD

    framework is shown in figure 3. The figure shows us how to match the customer requirements and needs

    to its engineering requirement in order to gain information about the priority order of the functions of the

    product from customer analysis side and the priority components order from technical analysis side.

    Figure 3. QFD diagram

    In order to implement QFVA, there are several computation needed such as:

    1. Computation of value index using the following formula:

    (1)

    where:

    RC is relative cost (%) of the functionf,

    RN is the relative need (%) of the functionf

    2. Computation of customer requirement index using the following formula:

    (2)

    where:M is the relationship matrix

    IR is the relative importance (%) of functionf(first column of consumer importance in Figure 8

    PVis the sale point (Figure 8)

    ff

    n

    f

    RNRCABSIGV

    1

    1

    iIRiPVjiMquirementn

    j

    i

    1

    ,Re

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    This formula is used in order to make priority order to the function of the suspension, therefore,

    the company may focus their cost allocation to what regarded as the most important part of it.

    3. Computation of engineering cost using the following formula:

    (3)

    where:

    M is the relationship matrix

    IR is the relative importance of the cost for function f(second column of consumer importance

    in Figure 8 and last row of relationship matrix)

    2.5Analyzing Data

    In this step, we analyzed all data gained from each step in order to find out what priority order of each

    functions and how effective cost of each its component compared to the importance of its functions

    demanded by the customers.

    2.6 Conclusion

    In this step, we concluded and summarized our finding after using this method. This findings led us topropose our recommendation for the company in order to meet both its customer requirements and cost

    effectiveness.

    3. Discussion

    3.1FAST Diagram

    The following figure showed the function of the suspension as a part of the motorcycle:

    Figure 4. FAST Diagram

    )(,1

    iIRCjiMgCostEngineerin

    n

    ij

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    From the above diagram, we can conclude that there are 5 functions from the suspension that are

    needed to be reviewed using QFDVA such as A) As shock breaker, B) To isolate unit from high

    vibrations, C) To be equipped by dust seal, D) To isolate the unit from noise, E) To make unit looks good.

    3.2 MUDGE Diagram

    After creating the FAST Diagram, we used these five functions to hold an in-depth interview with

    two groups which are from product R&D and market research divisions to form MUDGE Diagram asfollows:

    Figure 5. MUDGE Diagram

    From the above MUDGE Diagram, we create the graph of the relative function as follows:

    Figure 6. Relative Importance Graph

    From above figure, we can see that the priority order of the function of a suspension in a motorcycle

    are: D) To isolate the unit from noise (31.6%), B) To isolate unit from high vibrations (28.1%), A) As

    shockbreaker (24.6%), C) To be equipped by dust seal (10.5%), and E) To make unit looks good (5.2%).

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    3.3 Resource Consumption Matrix.

    We use the cost of each component of the suspension to match it with the its functions. This resulted

    in the following resource consumption matrix as follows:

    Table 1. Resource Consumption Matrix

    FunctionNo Components Cost (Rp)A B C D E

    1 Pipe Comp, Front Fork 131.886 32.972 32.972 32.972 32.972

    2 Case, Front Bottom 161.625 53.875 53.875 53.875

    3 Spring, Front Fork 19.395 6.465 6.465 6.465

    4 Pipe, Seat 36.204 9.051 9.051 9.051 9.051

    5 Ring, Stopper 58.185 29.093 29.093

    6 Seat B, Spring 19.395 9.698 9.698

    7 O Ring 2.586 1.293 1.293

    8 Seal, Dust 38.790 38.790

    9 Ring, Oil Seal Stop 58.185 29.093 29.093

    10Seal, Oil 8.663 4.332 4.332

    11 Ring, Piston 58.185 29.093 29.093

    12 Spring, Rebound 19.395 6.465 6.465 6.465

    13 Washer. Special 5.819 5.819

    14 Bolt, Socket 1.293 323 323 323 323

    Total (Rp) 619.606 147.941 168.629 52.173 217.569 33.296

    Percentage (%) 100 23,9 27,2 8,4 35,1 5,4

    From above table, we can see that the resource consumption for each function are respectively:

    35.1% for D, 27.2% for B, 23,9% for A, 8.4% for C, and 5.4% for E.

    3.4 Comparison of relative function and relative cost.After gaining relative function and relative cost, we compare it with compare graph as follows:

    Figure 7. Compare graph

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    From above figure, we can see that almost all functions are cost effective compared to its function

    except for function D which the cost is still higher than its relative function which may cause ineffective

    cost.

    3.5 Integrating QFDVA

    The following table shows the integrating QFDVA as follows:

    Figure 8. QFDVA matrix

    From the above figure, we can make the priority order of the functions of a suspension as follows:

    Figure 9. Consumer s need graph

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    Figure 9 has shown that the priority of the functions of a suspension are D, A, B, C, and E.

    Meanwhile the graphics of the engineering costs optimal relations is shown in following figure.

    Figure 10. the engineering costs optimal relations

    Figure 10 shows that the optimal cost should place pipe comp, front fork component as the most

    portion of the suspension cost rather than the other components. This figure is used to make the

    effective cost allocation among components as shown in the following table:

    Table 2. Cost allocation among components

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    The above table has shown that the cost of 7 components should be increased while the other 7

    components should be decreased so the cost can still remain the same overall part cost.

    4. Conclusion

    After conducting this research, we have found that:1. The priority order of each function of suspension are as fol low: D) To isolate the unit from noise

    (43.8%), A) As shock breaker (32.2%), B) To isolate unit from high vibrations (20.3%), C) To be

    equipped by dust seal (2.9%), and E) To make unit looks good (0.7%).

    2. The effective cost allocation is as shown in table 2 which has enable the company to focus more on

    the component that required by customer. From that table we can conclude in order to focus on

    function of D (to isolate unit from noise), the company could only need to budget IDR 194,817

    instead of IDR 217,569 or over-budgeted about 12%.

    For further study, we recommend using DEA (data envelopment analysis) as a decision support tool to

    evaluate the degree to which each design alternative satisfies the customer requirements [6].

    References

    [1] Detik.com (2012). Penjualan Motor Meningkat di Awal 2012. Published 7 Feb 2012. Accessible from

    http://oto.detik.com/read/2012/02/07/183049/1836681/1208/penjualan -motor-meningkat-di-awal-2012

    [2] Bestefield, Dale. (2006). Total Quality Management. USA : Prentice Hall.

    [3] Gerhardt, Don J. (2006). Managing Value Engineering in New Product Development : Ingersoll Rand.

    [4] Ramos, F. L., Cavalca, K. L., & Dedini, F. G. (2004). Combined Application of QFD and VA Tools in The Product Design

    Process. The International Journal of Quality & Reliability Management , p.231-252.

    [5] Mendoza, N., Ahuett, H., & Molina, A. (2003). Case Studies in the Integration of QFD, VE and DFMA during the Product

    Design Stage. The Proceedings of the 9th International Conference of Concurrent Enterprising, Espoo, Finland, 16-18 June

    2003.

    [6] Cariaga, I.; El-Diraby, T.; and Osman, H. (2007). Integrating Value Analysis and Quality Function Deployment for

    Evaluating Design Alternatives. Journal of Construction Engineering and Management, p.761-770