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Exploratory quantitative study of optimal advanced manufacturing process plan selection using a swarm intelligence technique

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Title: Exploratory quantitative study of optimal advanced manufacturing process plan selection using a swarm intelligence technique

Authors: Agarana Michael C., Akinlabi Esther T., Pule Kholopane

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2022

Volume: 17

Issue: 15

Language: English

Categories
Swarm Intelligence (11) Industrial Engineering (1270) Manufacturing Engineering (634) Advanced Manufacturing (1) Operations Research (1313)

Abstract

Integration of different phases of production process is one of today’s problems in manufacturing. This exploratory study attempts to address this issue by selecting the best manufacturing process plan through the application of swarm intelligence technique - Ant Colony Optimization (ACO) technique. The problem was simulated and modelled with some assumptions. Series iterations were carried out using the ACO algorithm. The results obtained revealed that an optimal manufacturing process plan selection can lead to optimal time and cost of turning raw materials to finished parts, which directly impacts on the efficiency of any manufacturing organisation.

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