Open AccessDesign of Novel Fish De-Scaler System
Author(s) -
Soutrik Mukherjee
Publication year - 2021
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b6395.0910321
Subject(s) - computer science , scalability , visualization , identification (biology) , problem statement , mass customization , brainstorming , implementation , root cause , product (mathematics) , personalization , software engineering , industrial engineering , engineering , data mining , database , reliability engineering , artificial intelligence , world wide web , management science , botany , geometry , mathematics , biology
This research is aimed to produce the prototype of a mass manufacturable fish-descaler which would be affordable, efficient and producible. Paper is broadly divided into two parts, first part discusses about preliminary survey conclusions, literature review, problem identification, brainstorming, concept creation and 3-D structure. Standard methodologies like Morphological Charts, Problem statement diagrams, Root Cause Analysis are used to put ourselves in customer(Fish Sellers)’s shoes and understand the root cause of the problem. Based on the problem identified, a solid modeling idea visualization of the particular idea is generated, and individual parts of the model are developed, labelled and dimension specifications were given. Lastly, a 3-D CAD Model of aggregate solid model is developed inculcating the solution for concept visualization. Second part deals with understanding the customer base, market testing, scalability and affordability, mass customization of the prototype. Target customer is predicted according to rough cost of the prototype aligned to the money they are willing to pay for this new entrant. To improve the adaptability, design workings are made visible and transparent. It is essential to mass customize the product in order to maximize scalability, hence a rough roadmap to scalability is strategized at the end.