Comparative Evaluation of Rapid Prototyping Processes for Product Development Using Optimization Techniques

Creating innovative products within stringent timeframes presents a significant hurdle for small-scale manufacturers, highlighting the necessity for innovative solutions. To develop products effectively, it is essential to have a deep understanding of the complex interplay between product features, manufacturing processes, and market requirements. In this context, a technique known as Rapid Prototyping (RP) has emerged as a promising solution, but its successful implementation relies on specialized expertise and the ability to navigate intricate variables. For example, the design and optimization of water sprinklers offer opportunities for innovation in both commercial and agricultural contexts, with key factors such as water pressure and coverage playing a crucial role. Regular testing of prototypes ensures the efficacy of these systems, making RP the preferred method for prototyping. However, the implementation of RP is often hindered by a lack of skilled expertise and the complexity of process parameters. This research conducts a comparative evaluation of RP methods, using a decision-making approach that considers multiple criteria to assess product attributes such as surface finish, production duration, accuracy, strength, and cost. This MCDM approach enables ranking of available methods. The fundamental objective of the mentioned study is to calculate the most suitable RP method for manufacturing prototypes of sprinkler system components, enabling small scale manufacturers to develop innovative products efficiently and effectively.

Publication Details

Journal
International Journal of Mechanical Engineering
Published
2025-08-31
DOI
https://doi.org/10.14445/23488360/ijme-v12i8p107
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
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article

Comparative Evaluation of Rapid Prototyping Processes for Product Development Using Optimization Techniques

International Journal of Mechanical Engineering
Manufacturing Process and Optimization
article

Comparative Evaluation of Rapid Prototyping Processes for Product Development Using Optimization Techniques

article en

Abstract

Creating innovative products within stringent timeframes presents a significant hurdle for small-scale manufacturers, highlighting the necessity for innovative solutions. To develop products effectively, it is essential to have a deep understanding of the complex interplay between product features, manufacturing processes, and market requirements. In this context, a technique known as Rapid Prototyping (RP) has emerged as a promising solution, but its successful implementation relies on specialized expertise and the ability to navigate intricate variables. For example, the design and optimization of water sprinklers offer opportunities for innovation in both commercial and agricultural contexts, with key factors such as water pressure and coverage playing a crucial role. Regular testing of prototypes ensures the efficacy of these systems, making RP the preferred method for prototyping. However, the implementation of RP is often hindered by a lack of skilled expertise and the complexity of process parameters. This research conducts a comparative evaluation of RP methods, using a decision-making approach that considers multiple criteria to assess product attributes such as surface finish, production duration, accuracy, strength, and cost. This MCDM approach enables ranking of available methods. The fundamental objective of the mentioned study is to calculate the most suitable RP method for manufacturing prototypes of sprinkler system components, enabling small scale manufacturers to develop innovative products efficiently and effectively.

International Journal of Mechanical EngineeringVol. 12(8)
Openalex Percentile: Top 68%
Manufacturing Process and Optimization
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Comparative Evaluation of Rapid Prototyping Processes for Product Development Using Optimization Techniques · International Journal of Mechanical Engineering (2025) | TGRS Research Map | TGRS