Open AccessCloud based data management for experiential products: a case study on motion pictures
Author(s) -
J. L. Jagath,
P.R. Shalij,
Haris Naduthodi,
A. M. Hisam
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1114/1/012069
Subject(s) - computer science , experiential learning , product (mathematics) , motion (physics) , domain (mathematical analysis) , cloud computing , new product development , comparability , work (physics) , systems engineering , process management , artificial intelligence , engineering , mathematics , business , mechanical engineering , mathematical analysis , geometry , mathematics education , marketing , combinatorics , operating system
Product complexity is on the rise with the advancing technological progresses and improved customer demands. This resulted in the implementation of finest technologies and philosophies in the product development arena. Product Data Management (PDM) is one such promising area contributing to the cost-saving, quality and time aspects of product development. Currently, the applications of PDM are mostly limited to the discrete products. In this work it is attempted to bring the experiential product domain too under the purview of PDM. The case of motion picture is taken for studying the application of PDM to the experiential product domain. The comparability of motion pictures with any generic discrete product is confirmed in this study and the necessity of a system for Motion Picture Data Management (MPDM) is established. Cloud-based Motion Picture Data Management system is proposed as a solution for the requirements in motion picture development. Functionalities, components, and architecture of the system are described in this work.