Title: Energy consumption and makespan by considering set up and transportation time: a hybrid AHO-MARR technique

Authors: Kilari Jyothi; R.B. Dubey

Addresses: Department of Electronics and Communication Engineering, SRM University, Sonepat, 131029, NCR-Delhi, India ' Department of Electrical and Electronics Engineering, SRM University, Sonepat, 131029, NCR-Delhi, India

Abstract: This manuscript presents a hybrid approach to the job shop scheduling problem (JSP) with sequence-dependent set-up and transportation times, utilising the AHO-MARR technique. The method aims to minimise both makespan and overall energy consumption in energy-efficient manufacturing environments. By integrating the Archerfish Hunting Optimiser (AHO) and the Median-Average Round Robin (MARR) scheduling algorithm, the approach considers processing time, idle time, sequence-dependent set-up time, and transportation time to improve production efficiency. AHO calculates total processing time and energy for each job, while MARR ensures practical task distribution across machines. The method effectively reduces setup time and energy usage, achieving an energy consumption of 730 kW/min. Comparative analysis shows that the AHO-MARR technique outperforms existing methods such as the Salp Swarm Algorithm (SSA), Wild Horse Optimiser (WHO), and Heap-Based Optimiser (HBO) in terms of energy efficiency and makespan reduction.

Keywords: energy consumption; setup; transportation time; makespan; efficient; job shop scheduling; archer fish hunting optimisation; median average round robin algorithm.

DOI: 10.1504/IJHVS.2026.153673

International Journal of Heavy Vehicle Systems, 2026 Vol.33 No.2, pp.235 - 253

Received: 19 Mar 2024
Accepted: 06 Jan 2025
Published online: 21 May 2026 *

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