Vignan Gupta, Elluri, Mogale, D. G. ![]() |
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Abstract
Enterprises equipped with IoT (Internet of Things) are the new generation of manufacturing industry. There is a need for new optimization models which incorporate the advantages of IoT. In this paper, a new mathematical model and heuristic algorithm are developed to minimize the total cost in a multiple machine environment which enables the industries to take economically better decisions and effectively use their resources. A heuristic algorithm is developed for identical machines which process with the same tool. A system in which jobs with stochastic workloads arrive randomly and upon arrival, their workload is facilitated by IoT. The proposed algorithm determines the assignment of workload to the machine and processing speed. The algorithm works for both online and offline frameworks.
Item Type: | Article |
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Date Type: | Published Online |
Status: | Published |
Schools: | Business (Including Economics) |
ISSN: | 2405-8963 |
Date of First Compliant Deposit: | 21 February 2020 |
Last Modified: | 04 May 2023 23:33 |
URI: | https://orca.cardiff.ac.uk/id/eprint/129295 |
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