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International Journal of Mechanical and Materials Engineering (IJMME), Vol. 4 (2009), No. 1, 49 -61.
COMPOSITE MANUFACTURING PROCESS SELECTION USING ANALYTICAL
HIERARCHY PROCESS
A. Hambali1, S.M. Sapuan
1, N. Ismail
1and Y. Nukman
2
1Department of Mechanical and Manufacturing Engineering,Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
2Department of Engineering Design and Manufacture,
Faculty of Engineering, University Malaya,
50603 Kuala Lumpur, Malaysia
ABSTRACT
This paper describes an approach, based on the analytical
hierarchy process (AHP) that assists decision makers or
manufacturing engineers determining the most
appropriate manufacturing process to be employd inmanufacturing of composite automotive bumper beam at
the early stage of product development process. There are
5 types of processes under consideration namely
injection moulding (IM), resin transfer moulding (RTM),
structural reaction injection moulding (SRIM), reaction
injection moulding (RIM) and compression moulding
(CM). The analysis ranks the 5 types of processes for
suitability of use in manufacturing automotive bumper
beam based on 6 main selection factors and 12 sub-
factors. Determining the right manufacturing process was
performed based on AHP concept through utilizing
Expert Choice software. The results indicated that the
injection moulding was the most appropriate
manufacturing process because it has the highest value
(22.8%) among the other manufacturing processes. The
sensitivity analysis was performed to test the stability of
the priority ranking and study the effect of different
factors on deciding the best decision option.
Keyword: Analytical hierarchy process (AHP),
manufacturing process selection, conceptual design
stage, automotive bumper beam, concurrent engineering
1. INTRODUCTION
Considering concurrent engineering in product
development is very important. One of the concurrentengineering concepts is early decision making (Prasad,
1996). According to Giachetti (1998), an important
aspect of concurrent engineering is the early
consideration of manufacturing process in the product
development process to achieve a reduction in product
development time, production costs, and quality defects.
Many researchers (Giachetti, 1998; Sapuan et al., 2005;
Yu et al., 1993a) have addressed the importance of
employing concurrent engineering concept in considering
the most appropriate manufacturing process for a given
product in the literature. One of the early stages of product
development process is called conceptual design stage. The
conceptual design stage is an initial stage of the product
development process which has been identified as the most
crucial for the successful introduction of new products
(Hollins and Pugh, 1990; Riedal et al., 1997). Traditionally,manufacturing process selection is performed at the detail
design stage. It means that critical issues related to
manufacturing processes is frequently not identified until this
stage. It is clear that the detail design stage is too late a point
in the product development cycle to identify the constraints
imposed by manufacturing processes and to go back and
redesign the product (Krishnakumar, 2003). Thus, the
consideration of manufacturing process during conceptual
design stage is most important in improving the efficiency of
manufacture of products. Manufacturing process selection is
a process of determining the most appropriate process for a
given product. The importance of manufacturing process
selection in product development process has been well
recognized. The importance of selection of an appropriate
manufacturing process at the early stage of product
development process has been addressed by many
researchers in the literature. Lovatt and Shecliff (1998) and
Ashby (1999) pointed out the importance of considering the
right manufacturing process for a product at the early stage of
product development process. It is very importance to
determine the most suitable process to be employed at the
early stage of product development process in order to avoid
the cost-penalty of making changes become large (Ashby,
1999). However, determining the most appropriate
manufacturing process at the early stage of product
development process is difficult task and crucial decision. It
is due to selection of a suitable manufacturing processfrequently involves considering various factors. Typically,
the decision to choose an appropriate manufacturing process
is given to an expert who uses a complex reasoning process
based on empirical knowledge and past experience. This
selection method may result in inconsistent or inappropriate
choices if the decision is handled by a beginner who fails to
map correctly the product characteristics with the
manufacturing efficacy of various manufacturing processes
(Raviwongse et al., 2000). Thus, it is required to employ an
appropriate selection method to assist manufacturing
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engineers determining the most suitable manufacturing
process. There are many methods have been developed
by researchers to assist manufacturing engineers to
determine and select the most appropriate manufacturing
process for a product at the early stage of product
development process in the literature review. Yu et al.
(1993a) described an expert system that helps designers
select a manufacturing process in the early stage of
product development process. Agard and Kusiak (2005)
discussed applications of data mining in manufacturing
process selection. A methodology for selection of
manufacturing processes is proposed and illustrated with
an industrial scenario. The proposed methodology uses
the data generated from manufacturing processes to
improve efficiency in the manufacturing processes
selected for a new part. Raviwongse et al. (2000)
developed an intelligent self-organising map
(SOM)/fuzzy-based model to aid designers in the
selection of an appropriate plastic manufacturing process.
Yu et al. (1993b) developed a program that combines
preliminary screening of processes with normalized costanalysis. Yang et al. (2003) proposed system called
genetically optimized neural network system (GONNS)
which uses as a human-like decision-making tool for the
selection of optimum composite material and operating
conditions. Perzyk and Meftah (1997) described a
computer aid for the selection of a manufacturing process
in design of a single mechanical part. The developed
module called Evaluation System for Manufacturing
Processes utilizes existing general data on process
capabilities, design-for-manufacturability rules and
materials processing. Sapuan et al. (2005) developed a
prototype computer aided manufacturing process
selection by using two computer aided manufacturingsoftware package called Visual Basic application and
Microsoft Access application to determine the most
appropriate manufacturing process for automotive
components. Ashby (1999) and Ashby et al. (2004)
developed a useful systematic approach which consists of
four main steps namely translating, screening, ranking
and supporting information for determining a suitable
manufacturing process for a product. A recent study
published by Ahmari (2008) employed combination
analytical hierarchy process and fuzzy analytical
hierarchy process (AHP and FAHP) to select the best
manufacturing technology that achieves most of the
company requirements. Manufacturing process selectionproblem has also been treated as a multicriteria decision
making due to various factors affecting the selection
process must be considered. One of the concurrent
engineering tools that can be implemented to assist
manufacturing engineers determining the most optimum
manufacturing process is analytical hierarchy process
(AHP). However, the application of AHP in the field of
manufacturing process selection is less addressed in the
literature. Currently there is no paper in the literature that
discusses the use of AHP process in determining the
most suitable manufacturing process for composite
automotive components. Ho (2008) reviewed international
journals related to application of AHP from 1997 to 2006
found that AHP can be employed to a wide variety of fields.
However, there is no studied the application of AHP related
to manufacturing process selection in product development
process. Thus, the main focus of this paper is to explore the
potential use of AHP in assisting manufacturing engineers to
evaluate and determine the most appropriate manufacturing
process for producing composite automotive bumper beam at
the early stage of product development process.
2. RESEARCH METHODOLOGY USED IN THIS
RESEARCH
The framework of the proposed methodology for the
selection of an appropriate manufacturing process for
composite automotive bumper beam is depicted in Figure 1.
There are two main design activities (two phases) involved
namely product design specification (PDS) and conceptual
design stage. The goal of this proposed selection process is toassist the manufacturing engineers choose the most
appropriate process that best suit the design requirements.
The details regarding these two design activities are
explained below:-
Product design specification
The first phase of this proposed selection system is a product
design specification (PDS). PDS is a document prepared
early in the product development process that controls the
design and manufacture of a product (Pugh, 1991). The PDS
is very important to the success of the product development
process because it so influential in describing the requirementof the final component (Wright, 1998). In considering the
right manufacturing process for the automotive bumper
beam, only 12 elements of the PDS were considered in
designing automotive bumper beam as depicted in Figure 2.
The details of PDS are not discussed in this paper
Selection process at the conceptual design stage
The second phase of this proposed selection system is called
conceptual design stage. According to Pugh (1991) and Pahl
et al. (2007), conceptual design of product development
process is a preliminary stage of design activities becausevarious decision making problems are addressed at this stage,
for example materials selection, design concept selection and
manufacturing process election. Therefore, considering the
right decision at this stage is very important and critical. It is
because the overall success of the product as once the
conceptual design process has been completed, the majority
of product cost and quality has been fixed by selecting
particular concepts (Rehman and Yan, 2003). At this stage,
various selection process activities have been applied in order
to determine the most suitable manufacturing process for a
given design as illustrated in Figure 1.
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Figure 1 Manufacturing process selection at the conceptual design stage in a concurrent engineering environment.
Figure 2 Elements of PDS for development of composite automotive bumper beam
PDS
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3. INVESTIGATION OF VARIOUS
MANUFACTURING PROCESSES COMPOSITE
AUTOMOTIVE BUMPER BEAM
There is a number of manufacturing processes for
polymeric based composite fabrications are available in
the literature. These processing methods are dissimilar
each others depending on various manufacturing
considerations. It is the task of manufacturing engineers
to determine the right processing technique that meet the
design specification or product design specification.
Several processing techniques and some successful
applications in manufacturing automotive bumper beam
have been reported in the literature. Mohan (1987)
discussed the use of structural reaction injection
moulding (SRIM) composite in automotive bumper
beam. One of the first commercial applications for SRIM
was a bumper beam for the 1989 Chevrolet Corvette
(Miracle and Donaldson, 2001). Mazumdar (2002)
described in his book that several compositemanufacturing processes can be employed in producing
bumper beam such as compression moulding of GMT
and structural reaction injection moulding (SRIM). Lee and
Suh (2006) cited that reinforced plastic bumper beam made
by compression moulding with sheet moulding compound
(SMC), resin transfer moulding (RTM), and reaction
injection moulding (RIM) have been successfully employed.
Schmachtenberg and Tpker (2004) developed
composite bumper beam under resin transfer moulding
process. Crand et al. (1997) presented the methods and
results of a study of bumper beams undertaken by
Hutchinson and Peugeot. The purpose of the study was to
minimize the differences in cantilever between Europeanand American. A bumper beam manufactured using
SRIM technology. Fielder and Norman (1992) discussed
the driving for specifying SRIM into composite bumper
beams. Jula and Butterfield (1992) briefly discussed the
use of compression moulding and injection moulding in
manufacturing of automotive bumper beam. Figure 3 is a
picture of a bumper beam fabricated using composite
material and under compression moulding process (Trantina
et al., 1993). There are five different types of manufacturing
processes have been commonly employed in manufacturing
of composite automotive bumper beam for passenger cars as
depicted in Table 1.
However, the literatures discussed as mentioned above on
composite bumper beam have been focused only the
fabricating of bumper beam by employing various processes,
but there is no studied on selection of a suitable
manufacturing process for automotive bumper beam. It is
also indicated that many researchers studied in the field of
materials selection for composite automotive bumper beam,
but the research on selection of an appropriate manufacturing
process is less explored.
Figure 3 Bumper beam fabricated by using compression
moulding process (Tranina et al., 1993)
Table 1 Bumper beam fabricated by various composite manufacturing processes
No Manufacturing process References
1 Resin transfer moulding (RTM) Lee and Suh, 2006; Schmachtenberg and Topker, 2004
and Cheon et al., 1995.
2 Structural reaction injection moulding(SRIM) Mohan, 1987; Miracle and Donaldson, 2001; Mazumdar,2002; Crand et al., 1997; Fielder and Norman, 1992; and
Kelman and Nelson, 1998.
3 Reaction injection moulding (RIM) Lee and Suh, 2006 and Cheon et al., 1995.
4 Compression moulding of SMC
(CM)
Mazumdar, 2002; Lee and Suh, 2006; Jula and
Butterfield, 1992; Trantina et al., 1993; Cheon et al.,
1995; Gilliard et al., 1999 and Murphy, 1998.
5 Injection moulding (IM) Jula and Butterfield, 1992; Trantina et al., 1993 and
Murphy, 1998.
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4. FACTORS INFLUENCING THE SELECTION
OF A MANUFACTURING PROCESS
The selection of the best manufacturing process for the
polymeric composite automotive bumper beam depends
upon the variety of factors and most of these factors are
interrelated. Determining the right manufacturing process
is a complex activity. Thus, the methodology of
determining the right manufacturing process is required
to help make the approach to process selection more
systematic. Various factors have been identified which
include as follows:
4.1 Geometry of the design (GD)
The selection of a suitable manufacturing process for the
automotive bumper beam design can be determined by
geometry of the design. Figure 4 shows the best design
concept of automotive bumper beam has been
determined during design concept selection process at the
early stage of product development process. This design
influences in determining the right manufacturingprocess in selection process. Various selection factors
related to the geometry of the design need to consider as
follows:
a. Shape of the design (SH)
Shape of the product is the most important factor that
must be considered in determining the most suitable
manufacturing process of automotive bumper beam.
As the shape of the automotive bumper beam becomes
more complex such as curvature shape, selection of a
suitable process becomes important.
b. Complexity of the design (CD)Complexity is defined as the presence of design features
such as non-uniform wall thickness, non-uniform cross
section, ribbing pattern, holes, etc. These design features
need to consider in order to avoid the additional process
and increasing production time during manufacturing
process. It is also to avoid designers to modify the geometry
of the design in order to match up for the chosen
manufacturing process.
c. Size (SZ)
The size of the design (the maximum dimension of design) is
a factor that needs to consider. The maximum size (length,
width, height) that can be handled by a process is limited.
The size of design in this case study was determined in
product design specification stage.
d. Wall Thickness (WT)
The wall thickness of the design is also required to consider
which influences the selection of a suitable manufacturing
process.
e. Weight (WG)
The weight of the design is also factors that influence the
selection of a suitable manufacturing process. The weight of
the design is also limited the selection of the process.
f. Tolerance and surface finish (TS)
Tolerance factor consider in this case study is tolerance
related to the flatness of surface. The surface finish of a part
indicates the measured roughness or smoothness of the
surface. To fabricate the product which has a good tolerance
and surface finish is very important. Considering tolerance
and surface finish factor in determining the most appropriate
manufacturing process can make the product to be
manufactured in a higher quality.
4.2 Production characteristics (PC)
Production characteristic is very essential factor in
determining the most suitable manufacturing process.Production characteristics are not related to the functionality
of design or not relevant to the ability of a process to produce
the product. There are 3 production characteristics influence
the selection of manufacturing process as follows:
Figure 4 The final conceptual design of bumper beam: (a) Wireframe 3D modelling and (b) Photo render 3D modelling
(Hambali et al., 2009a).
(a) (b)
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a. Production quantity
Production quantity is an important factor that plays an
important role in manufacturing process selection. The
production volume affects process selection to a
considerable extent. The cost of a process has break-even
points over the economic production quantities (Ludema
et al., 1987).
b. Rate of production (RP)
The right selection of manufacturing process is also
based on rate of production (Mazumdar, 2002). Each
process has its own possible production rate or an
economical range of production rates although individual
rates will differ depending on the machine capability.
c. Processing times (PT)
Shorter processing is an important consideration because
automotive components are manufactured at a rate of one
component per minute (Lee and Suh, 2006).
4.3 Material (MT)Selection of manufacturing process for producing
automotive bumper beam is greatly influenced by the
material selected. In this case study, the best material has
been determined during material selection stage at the
early stage of product development process. The material
used was glass fibre epoxy. For this case study, the glass
fibre epoxy used is assumed as an isotropic manner
(Hambali et al., 2009b). This assumption was made
because the material used for fabricating automotive
bumper beam was random chopped short fibre reinforced
polymer (Barton, 2008; Hosseinzadeh et al., 2005 and
Wacker and Hormann, 2004). The materials properties
require in fabricating product have been identified duringmaterial selection process. The foremost factor
considering in the material selection is the ability of the
material to absorb enough energy during impact or crash.
The material is primarily dependent on the physical and
mechanical properties required. In actual practice, the
following properties are considered such as strength,
corrosion resistance, stiffness, density, etc. These material
properties directly influence the production methods by
which the material is worked (Yu et al., 1993a).
4.4 Cost considerations (CS)
It is well known that costs are an important factor, as almost
any production parameter can be related to cost. Generally,
cost considerations are difficult to quantify (Esawi and
Ashby, 2004). To achieve the final aim of minimising cost,
several factors influencing cost must be considered as
follows:
a. Tooling cost (TC)
In manufacturing polymeric based composite, considering the
cost of tooling is very important. Tooling cost refers to the
cost of the mould and its accessories (Raviwongse et al.,
2000). The tooling cost depends on the type of processes,
design complexity and the production quantity. Lower
tooling cost need to consider in determining the bestmanufacturing process.
b. Equipment cost (EC)
Lower equipment or machine cost is also important factor
need to consider in determining the right most manufacturing
process.
c. Labour cost (LC)
Labour cost is also plays a deciding factor in the selection of
a manufacturing process.
4.5 Easy of maintenance (EM)
The right choice of a manufacturing process is alsoconsidered based on the ability the machine/equipment to be
easily repaired. Sometime, products failed due to the machine
problems. Considering how easy the machines to be repaired
also factor need to consider.
4.6 Availability of the equipments and labour (AV)
The selection of the most appropriate manufacturing
process is also determined by availability of the
equipments and labour. The availability of the equipment
and labour means that an existence of the equipments and
labour in the place of manufacturing. The availability of
the equipments and labour are also important
consideration due to unavailability of them can cause ofdelaying the product to be quickly produced.
5. SELECTION OF MANUFACTURING PROCESS
WITH AN ANALYTICAL HIERARCHY PROCESS
(AHP) APPROACH
This work presents the use of analytical hierarchy
process (AHP) in assisting manufacturing engineers to
determine the most appropriate manufacturing process
from a wide range of different alternatives to be used in
producing automotive composite bumper beam. AHP is a
multicriteria decision making method developed by Saaty
(1980) that provides a problem-solving framework and a
systematic method for determining the right decision of any
problems. In general, AHP consists of three basic steps
namely decomposition, comparative judgement and the
synthesis (Ho, 2008; Saaty and Vargas, 2001 and Cheng et
al., 2007). These steps can be elaborated by structuring them
in a more encompassing nine steps process (Hambali et al.,2007). Some advantages of AHP are its simplicity, applicableto the problem of group decision-making and consistency
verification to ensure the judgements are consistent (Ho,
2008).
The methodology of manufacturing process selection
In order to determine the most appropriate manufacturing
process at the conceptual design stage, AHP through
utilizing Expert Choice 11.5 software is used. The software
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developed by Forman et al. (2000) is a multicriteria
decision support software based on the AHP
methodology. It is easy to use and understand, as well as
providing visual representations of overall ranking on a
computer screen. Figure 5 shows various factors that
influence in manufacturing process selection need to
consider in determining the most optimum
manufacturing process for automotive bumper beam.
The details of each factor have been described in
section 4. There are five manufacturing processes
under considerations in this case study as depicted in
Table 1. All processes as mentioned above have their
own strengths, weaknesses and priority in selection.
However, the most optimum manufacturing process
must be determined according to the design
requirements and factors influencing in the selection
process. Selection of a suitable manufacturing process
for automotive bumper beam is performed by using AHP
steps through utilizing Expert Choice software. The main
goal of considering the right process at the early stage of
product development process or during conceptual designstage is to select the most appropriate manufacturing
process in order to produce a good quality product. The
goal, factors that influence the selection process and
process under consideration are then translated to the
hierarchy structure as shown in Figure 6.
Pairwise comparisons are fundamental to the AHP
methodology (Forman et al., 2000). Pairwise comparison
begins with comparing the relative importance of two
selected items. The manufacturing engineers need to
perform pairwise comparison for all factors and
alternatives which under considerations in the selection
process. In this case study, the qualitative data (Table 2)used to perform pairwise comparison are taken from
various sources (Astrom, 2002; Drozda et al., 1983;
Scallan, 2003; Vinson and Sierakowaki, 2002; Hollaway,
1994; Murray, 1997; Mazumdar, 2002; Richardson, 1987
and Miracle and Donaldson, 2001). The judgements are
decided based on the authors experience and knowledge
by using the relative scale pairwise comparison as shown
in Table 3. able 4 shows an example pairwise
comparison, if geometry of the design (GD) is strongly
more important over material (MT), then a=5.
Reciprocals are automatically assigned to each pairwise
comparison.
The selection results
Based on the AHP steps, Expert Choice software was
used to determine the most optimum manufacturing
process for the automotive bumper beam. The results
shown in Figure 7 represent the relative weights for main
factors, sub-factors, and alternatives (process under
consideration). The judgements for all levels are
acceptable due to the fact that consistency ratio (CR) is
less than 0.1. If it is found that the consistency ratio exceeds
the limit, the designers should review and revise the pairwise
comparisons
Figure 8 shows the injection moulding (IM) with a weight of
0.228 (22.8%) as the most appropriate manufacturing process
or as a first choice, the second choice is the structure
reinforced injection moulding (SRIM) with a weight of 0.220
(22.0%), and the last decision option is the resin transfer
moulding (RTM) with a weight of only 0.165 (16.5%).
If the results of the selection are not satisfied with some
reasons such as lack of information and inadequate model
structure, manufacturing engineers or decision makers can
perform selection process again in order to ensure the result
achieves can produce a good product with minimal cost.
Figure 5 Various selection factors in manufacturing process
selection
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Figure 6 The hierarchy structure (4 levels) represents the goal, main factors, sub-factors and process under consideration
(decision options)
Table 2 Data used to perform pairwise comparison
Process
Criteria RTM SRIM RIM CM IMSH Possible Possible Possible Possible Possible
CD Simple-complex Simple-complex Simple-complex Simple-complexSimple
Very complex
SZ Small-large Small-large Small-large Small-large Small-medium
WT Possible Possible Possible Possible Possible
WG Possible Possible Possible Possible Possible
TS Good Good-Excellent Good-Excellent Good-Excellent Excellent
PQ Medium Medium-High High High, Very High
RP Medium High High High Very High
PTMedium
(6-30min)
Fast
(30sec-15min)
Fast
1-2min
Fast
(20sec-10min)
Fast
(3sec-15min)
MT
Reinforcement:
random,continuous, etc
Resin:polyester,
epoxy etc
Reinforcement:
random, etcResin:
Polyester, etc
Reinforcement:
random, continuous,etc
Resin:
polyester, epoxy,
polypropylene,etc
Reinforcement:
random,continuous, etc
Resin:
polyester, epoxy,
vinylester,
Reinforcement:
random, short, etc.Resin: polyester,
epoxy,
polypropylene,etc
TC Low-High Low Low-High Medium-High High
EC Medium High Medium-High High High
LC Medium Medium Low Low Low
EM Easy Easy Easy Easy Medium
AV Available Available Available Available Available
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Table 3 Scale for pairwise comparisons (Saaty and Vargas, 2001)
Relative
important
Definition Explanation
1 Equal value Two requirements are of equal value
3 Slightly more value Experience slightly favours one requirement over
another5 Essential or strong value Experience strongly favours one requirement over
another
7 Very strong value A requirement is strongly favoured and its dominance is
demonstrated in practice
9 Extreme value The evidence favouring one over another is of the
highest possible order of affirmation.
2, 4, 6, 8 Intermediate values between two
adjacent judgments
When compromise is needed
Reciprocals Reciprocals for inverse comparison
Figure 7 All priority vectors for main factors, sub-factors and alternatives
6. SENSITIVITY ANALYSIS
The powerful of using AHP through utilizing Expert
Choice is a sensitivity analysis. A sensitivity analysis is
carried out to study the effect of the different factors on
deciding the best decision option.
The final priorities of the design concepts are highly
dependent on the priority vectors attached to the main
factors. Figure 9 shows the dynamic sensitivity graph of
the main criteria with respect to the goal. It not only
demonstrates that the injection moulding is the mostsuitable process, but also shows how sensitive the
decision is. For example, if the priority vector of cost
consideration is increased by 10% (from 13.5% to
23.5%), consequently, the ranking of the priorities will
change which the structure reinforced injection moulding
with a weight of 0.241 (24.1%) as a first choice, the
second choice is the injection moulding with a weight of
0.217 (21.7%), and the last choice is resin transfer
moulding with a weight of only 0.159 (15.9%) as shown
in Figure 10.
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Table 4 Perform judgement of pairwise comparison
GOAL PC GD CS MT EM AV
PC 1
GD 1 a=5
CS 1
MT 1/5 1
EM 1
AV 1
Figure 8 Results of selection
Figure 9 The dynamic sensitivity graph of the main factors with respect to the goal
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Figure 10 The dynamic sensitivity graph of the main factors with respect to the goal when score of cost consideration is
increased by 10% (from 13.5% to 23.5%)
7. CONCLUSIONS
Selection of a suitable manufacturing process for
automotive composite bumper beam in a concurrent
engineering environment was explored in this paper. The
proposed framework of methodology in selection of an
appropriate manufacturing process for composite
automotive bumper beam provide a systematic approach
to manufacturing engineers to consider and select the
most optimum process at the conceptual design stage.
The use of concurrent engineering tool called analytical
hierarchical process (AHP) in solving decision making
problem at early stage of product development process
was explored in this paper. The paper also described themethodology for determining the most appropriate
manufacturing process for automotive bumper beam.
AHP concept can assist manufacturing engineers to
evaluate and select the best manufacturing process based
on the various factors and sub-factors of a decision. The
analysis reveals that the injection moulding is a most
suitable process for manufacturing automotive bumper
beam as it has the highest value (23.1%) among the other
manufacturing processes. A sensitivity analysis was
carried out to study the effect of the different factors on
deciding the best manufacturing process. It is proved that
the AHP through utilizing Expert Choice software is
useful method in solving the manufacturing processselection problem for the automotive composite
components during conceptual design stage.
ACKNOWLEDGEMENTS
The authors wish to thank Universiti Putra Malaysia
(UPM) for the financial support through Research
University Grant Scheme 2007 (RUG 2007) vote number
91045.
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