2018
DOI: 10.1088/1757-899x/318/1/012058
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Manufacturing Process Selection of Composite Bicycle’s Crank Arm using Analytical Hierarchy Process (AHP)

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Cited by 16 publications
(8 citation statements)
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“…The primary objective in this activity to understand expert opinion of these specific members to aid in setting the priorities and consequently to conceive the best option that would be effective for successfully shaping the product. According to [3,4], it was crucial that engagement with client was important as it provides a basis to weight the available options for making decisions by taking into account the various criteria to strategically draw a conclusion. In tackling a project of this nature, MCDM method was suggested to be the desired technique.…”
Section: An Analytical Hierarchy Process (Ahp) -Ranking the Preference Of The Design Criteria Of Cagementioning
confidence: 99%
See 1 more Smart Citation
“…The primary objective in this activity to understand expert opinion of these specific members to aid in setting the priorities and consequently to conceive the best option that would be effective for successfully shaping the product. According to [3,4], it was crucial that engagement with client was important as it provides a basis to weight the available options for making decisions by taking into account the various criteria to strategically draw a conclusion. In tackling a project of this nature, MCDM method was suggested to be the desired technique.…”
Section: An Analytical Hierarchy Process (Ahp) -Ranking the Preference Of The Design Criteria Of Cagementioning
confidence: 99%
“…A string of factors drives this design phase in order for a successful implementation of product design taking into account the most important aspect expected from the intended output. However, it is imperative that customer intended needs and preferences are closely reviewed and addressed in a systematic approach without incurring huge overheads which potentially leads to extra redesign costs and potentially delay in product realization [1,2,3]. It was acknowledged that majority of real-world decision problems traditionally involve multiple performance attributes, including both quantitative attributes and qualitative attributes of subjective nature.…”
Section: Introductionmentioning
confidence: 99%
“…Maskepatil et al [8] employed AHP method for selection of the most suitable material among wood, steel, aluminium, glass fiber and carbon fiber for designing wind turbine blade and observed that carbon fiber was the best choice for the same. Luqmanet al [9] used AHP method to determine best suitable composite fabrication method to manufacture carbon fiber crank arm of bicycle and observed that compression moulding process was the best choice among all the manufacturing processes. Anojkumar et al [10] employed four different methods: TOPSIS, VIKOR, Electre computational and PROMTHEE computational for the selection of best steel material for pipe manufacturing in sugar industry and found that M 304 steel grade was best suited steel grade among all five steel grades.…”
Section: Introductionmentioning
confidence: 99%
“…The AHP process has been successfully applied to identify a design concept of a composite bumper beam [14], to select a fiber material for an automotive brake lever [15], to select a matrix for an automotive armrest [16] and to determine the most suitable composites manufacturing method for a bicycle crank arm [17]. In the case of the material selection for the automotive brake lever, only the four criteria weight (density), cost (raw material cost) and performance (strength and stiffness) were considered, the manufacturing process of the composite material was excluded.…”
Section: Introductionmentioning
confidence: 99%
“…Often, a sensitivity analysis verified the robustness of the decision against various scenarios. The process selection by Luqman et al took into account a wider range of criteria, such as production characteristic, the design, cost, material and ease of maintenance [17]. While these works indicate that the use of AHP was suitable for composite materials, parts have not been manufactured to verify the selection made through AHP.…”
Section: Introductionmentioning
confidence: 99%