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Energies 2018, 11(12), 3382; https://doi.org/10.3390/en11123382

Minimising Non-Processing Energy Consumption and Tardiness Fines in a Mixed-Flow Shop

1
Institute of Industrial Engineering, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
2
College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China
*
Author to whom correspondence should be addressed.
Received: 2 November 2018 / Revised: 18 November 2018 / Accepted: 28 November 2018 / Published: 3 December 2018
(This article belongs to the Special Issue Energy Efficiency of Manufacturing Processes and Systems)
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Abstract

To meet the increasingly diversified demand of customers, more mixed-flow shops are employed. The flexibility of mixed-flow shops increases the difficulty of scheduling. In this paper, a mixed-flow shop scheduling approach (MFSS) is proposed to minimise the energy consumption and tardiness fine (TF) of production with a special focus on non-processing energy (NPE) reduction. The proposed approach consists of two parts: firstly, a mathematic model is developed to describe how NPE and TF can be determined with a specific schedule; then, a multi-objective evolutionary algorithm with multi-chromosomes (MCEAs) is developed to obtain the optimal solutions considering the NPE-TF trade-offs. A deterministic search method with boundary (DSB) and a non-dominated sorting genetic algorithm (NSGA) are employed to validate the developed MCEA. Finally, a case study on an extrusion die mixed-flow shop is performed to demonstrate the proposed approach in industrial practice. Compared with three traditional scheduling approaches, the better performance of the MFSS in terms of computational time and solution quality could be demonstrated. View Full-Text
Keywords: energy consumption; scheduling approach; mixed-flow shop; multi-objective optimisation; tardiness fine energy consumption; scheduling approach; mixed-flow shop; multi-objective optimisation; tardiness fine
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Peng, C.; Peng, T.; Zhang, Y.; Tang, R.; Hu, L. Minimising Non-Processing Energy Consumption and Tardiness Fines in a Mixed-Flow Shop. Energies 2018, 11, 3382.

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