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

Chen Peng, Tao Peng, Yi Zhang, Renzhong Tang and Luoke Hu
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Chen Peng: Institute of Industrial Engineering, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
Tao Peng: Institute of Industrial Engineering, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
Yi Zhang: College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China
Renzhong Tang: Institute of Industrial Engineering, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
Luoke Hu: Institute of Industrial Engineering, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China

Energies, 2018, vol. 11, issue 12, 1-15

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.

Keywords: energy consumption; scheduling approach; mixed-flow shop; multi-objective optimisation; tardiness fine (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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