IMPACT OF BIG DATA ANALYTICS ON DISTRIBUTED MANUFACTURING: DOES BIG DATA HELP?
Big data (BD) analytics has brought progressive improvement in the business environment. It provides businesses with optimized production, personalization and improvement in the way production is dispersed. Nevertheless, conflicts arise in the use of these methods in certain industries, like retail...
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Format: | Article |
Language: | English |
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Faculty of Applied Management, Economics and Finance – MEF, Belgrade, University Business Academy in Novi Sad
2022-05-01
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Series: | Journal of Process Management and New Technologies |
Subjects: | |
Online Access: | https://drive.google.com/file/d/1z7Rid8bqLQqBcjoiLSgddieaTEqo_z7g/view?usp=sharing |
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author | Mesbaul Haque Sazu Sakila Akter Jahan |
author_facet | Mesbaul Haque Sazu Sakila Akter Jahan |
author_sort | Mesbaul Haque Sazu |
collection | DOAJ |
description | Big data (BD) analytics has brought progressive improvement in the business environment. It provides businesses with optimized production, personalization and improvement in the way production is dispersed. Nevertheless, conflicts arise in the use of these methods in certain industries, like retail items, which usually basis on large-scale production and prolonged supply chain. The study develops a theoretical structure to investigate if big data coupled with different production solutions can provide for a dispersed production system. Through investigation of twenty-one buyer products business instances applying secondary and main data, the study investigated changing production processes, the inherent catalyst, the function of analytics, and its effect on distributed production. The study discovers several uses of distributed manufacturing principles to evaluate the current production processes worked for larger customer product solutions by using analytics and industry analysis. The evaluation’s suggested structure mentioned in this research has a deeper impact on planning, comprehension relationships, among factors of data analytics and distributed production.
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first_indexed | 2024-04-10T22:51:34Z |
format | Article |
id | doaj.art-6b3462be2afe40c08315c9450030d219 |
institution | Directory Open Access Journal |
issn | 2334-735X 2334-7449 |
language | English |
last_indexed | 2024-04-10T22:51:34Z |
publishDate | 2022-05-01 |
publisher | Faculty of Applied Management, Economics and Finance – MEF, Belgrade, University Business Academy in Novi Sad |
record_format | Article |
series | Journal of Process Management and New Technologies |
spelling | doaj.art-6b3462be2afe40c08315c9450030d2192023-01-15T09:27:39ZengFaculty of Applied Management, Economics and Finance – MEF, Belgrade, University Business Academy in Novi SadJournal of Process Management and New Technologies2334-735X2334-74492022-05-01101-27081https://doi.org/10.5937/jpmnt10-37793IMPACT OF BIG DATA ANALYTICS ON DISTRIBUTED MANUFACTURING: DOES BIG DATA HELP?Mesbaul Haque Sazu0Sakila Akter Jahan1Case Western Reserve University, Cleveland, Ohio, USAIndependent University, Bangladesh, Dhaka, BangladeshBig data (BD) analytics has brought progressive improvement in the business environment. It provides businesses with optimized production, personalization and improvement in the way production is dispersed. Nevertheless, conflicts arise in the use of these methods in certain industries, like retail items, which usually basis on large-scale production and prolonged supply chain. The study develops a theoretical structure to investigate if big data coupled with different production solutions can provide for a dispersed production system. Through investigation of twenty-one buyer products business instances applying secondary and main data, the study investigated changing production processes, the inherent catalyst, the function of analytics, and its effect on distributed production. The study discovers several uses of distributed manufacturing principles to evaluate the current production processes worked for larger customer product solutions by using analytics and industry analysis. The evaluation’s suggested structure mentioned in this research has a deeper impact on planning, comprehension relationships, among factors of data analytics and distributed production. https://drive.google.com/file/d/1z7Rid8bqLQqBcjoiLSgddieaTEqo_z7g/view?usp=sharingbdaanalyticsmanufacturedistributedbig data |
spellingShingle | Mesbaul Haque Sazu Sakila Akter Jahan IMPACT OF BIG DATA ANALYTICS ON DISTRIBUTED MANUFACTURING: DOES BIG DATA HELP? Journal of Process Management and New Technologies bda analytics manufacture distributed big data |
title | IMPACT OF BIG DATA ANALYTICS ON DISTRIBUTED MANUFACTURING: DOES BIG DATA HELP? |
title_full | IMPACT OF BIG DATA ANALYTICS ON DISTRIBUTED MANUFACTURING: DOES BIG DATA HELP? |
title_fullStr | IMPACT OF BIG DATA ANALYTICS ON DISTRIBUTED MANUFACTURING: DOES BIG DATA HELP? |
title_full_unstemmed | IMPACT OF BIG DATA ANALYTICS ON DISTRIBUTED MANUFACTURING: DOES BIG DATA HELP? |
title_short | IMPACT OF BIG DATA ANALYTICS ON DISTRIBUTED MANUFACTURING: DOES BIG DATA HELP? |
title_sort | impact of big data analytics on distributed manufacturing does big data help |
topic | bda analytics manufacture distributed big data |
url | https://drive.google.com/file/d/1z7Rid8bqLQqBcjoiLSgddieaTEqo_z7g/view?usp=sharing |
work_keys_str_mv | AT mesbaulhaquesazu impactofbigdataanalyticsondistributedmanufacturingdoesbigdatahelp AT sakilaakterjahan impactofbigdataanalyticsondistributedmanufacturingdoesbigdatahelp |