Article: Resource allocation in cloud manufacturing using bat algorithm Journal: International Journal of Manufacturing Technology and Management (IJMTM) 2020 Vol.34 No.3 pp.296 - 310 Abstract: Due to the advancements in information and communication technologies, growing volatility and business competitiveness, manufacturing industries have started to change their strategies of pursuing business. As a consequence of this change, cloud based manufacturing systems have emerged and one of the major challenges in such systems is optimal resource allocation to tasks in production line. However, utilising manufacturing cloud resources for satisfying job requirements needs much more effort. In our work, we present a better assignment of resource to tasks by having a qualitative analysis of match between task and the resources through the use of adaptive search mechanism. We propose a bat-based heuristic approach, to work on improving computation time, makespan and balance in workload. Progressive experimentation was made in casting of engine block and the results show that, usage of bat algorithm supports rapid convergence. Also, bat algorithm is used to provide optimal resource allocation among tasks. This algorithm improves workflow performance by minimising makespan. The proposed workflow approach satisfies large scale production requirements in manufacturing environment and can achieve optimal solution by minimising delays. Inderscience Publishers - linking academia, business and industry through research

Title: Resource allocation in cloud manufacturing using bat algorithm

Authors: N.C. Brintha; Shajulin Benedict; J.T. Winowlin Jappes

Addresses: Department of Computer Science and Engineering, Kalasalingam Institute of Technology, Krishnankoil, India ' Indian Institute of Information Technology, Kottayam, Kerala, India ' Department of Mechanical Engineering, Kalasalingam University, Krishnankoil, India

Abstract: Due to the advancements in information and communication technologies, growing volatility and business competitiveness, manufacturing industries have started to change their strategies of pursuing business. As a consequence of this change, cloud based manufacturing systems have emerged and one of the major challenges in such systems is optimal resource allocation to tasks in production line. However, utilising manufacturing cloud resources for satisfying job requirements needs much more effort. In our work, we present a better assignment of resource to tasks by having a qualitative analysis of match between task and the resources through the use of adaptive search mechanism. We propose a bat-based heuristic approach, to work on improving computation time, makespan and balance in workload. Progressive experimentation was made in casting of engine block and the results show that, usage of bat algorithm supports rapid convergence. Also, bat algorithm is used to provide optimal resource allocation among tasks. This algorithm improves workflow performance by minimising makespan. The proposed workflow approach satisfies large scale production requirements in manufacturing environment and can achieve optimal solution by minimising delays.

Keywords: cloud manufacturing; bat algorithm; engine block; tasks and resources; makespan.

DOI: 10.1504/IJMTM.2020.107309

International Journal of Manufacturing Technology and Management, 2020 Vol.34 No.3, pp.296 - 310

Received: 13 Oct 2016
Accepted: 27 Mar 2017
Published online: 13 May 2020 *

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Title: Resource allocation in cloud manufacturing using bat algorithm

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