Citation

Lok, Jia Jun and Tan, Wooi Nee and Gan, Ming Tao and Yip, Sook Chin (2025) Electricity Cost Reduction through Optimal Production Planning in Multi-Stage Production with Parallel Machines. In: 2025 13th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), 17-19 October 2025, Chengdu, China.

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Abstract

Production planning, as a key component of industrial energy management in industrial processes, can generate significant cost savings by strategically scheduling machine operations in accordance with Time-of-Use (ToU) pricing scheme. This work examines production scheduling within a multi-stage production system, where each stage consists of multiple machines. A linear programming model is proposed to minimize electricity costs by optimizing machine operation schedules while considering sequential process requirements, manpower constraints, total production volume targets, and electricity supply limits. Simulation results demonstrate that the model effectively minimizes electricity costs by optimizing machine operation schedules, thereby enabling optimal production planning.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Industrial energy management, production scheduling, multi-stage production system, electricity cost reduction, optimization
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK452-454.4 Electric apparatus and materials. Electric circuits. Electric networks
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	20 Apr 2026 04:14
Last Modified:	20 Apr 2026 04:14
URII:	http://shdl.mmu.edu.my/id/eprint/15784

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