A hybrid multi-objective evolutionary algorithm to integrate optimization of the production scheduling and imperfect cutting tool maintenance considering total energy consumption

Abstract Casting production scheduling problem (CPSP) has attracted increasing research attention in recent years to facilitate the profits, efficiency, and environment issues of casting industry. Casting is often characterized by the properties of intensive energy consumption and complex process routes, which motivate the in-depth investigation on construction of practical multi-objective scheduling models and development of effective algorithms. In this paper, for the first time, the multi-objective casting production scheduling problem (MOCPSP) is constructed to simultaneously minimize objectives of defective rate, makespan, and total energy consumption. Moreover, a neighborhood structure enhanced discrete NSGA-II (N-NSGA-II) is designed to better cope with the proposed MOCPSP. In the N-NSGA-II, the advantage of selection mechanism of NSGA-II is fully utilized for selecting non-dominate solution, three neighborhood structures are elaborately designed to strengthen the ability of the local search, and a novel solution generating approach is proposed to increase the diversity of solutions for global search. Finally, a real-world case is illustrated to evaluate the performance of the N-NSGA-II. Computational results show that the proposed N-NSGA-II obtains a wider range of non-dominated solutions with better quality compared to other well-known multi-objective algorithms.

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Green Scheduling of Jobs and Flexible Periods of Maintenance in a Two-Machine Flowshop to Minimize Makespan, a Measure of Service Level and Total Energy Consumption

Advances in Operations Research ◽

10.1155/2020/9732563 ◽

2020 ◽

Vol 2020 ◽

pp. 1-9

Author(s):

Sadiqi Assia ◽

Ikram El Abbassi ◽

Abdellah El Barkany ◽

Moumen Darcherif ◽

Ahmed El Biyaali

Keyword(s):

Energy Consumption ◽

Total Energy ◽

Production Scheduling ◽

Programming Model ◽

Energy Performance ◽

Service Level ◽

Mixed Integer ◽

Binary Integer Programming ◽

Total Energy Consumption ◽

Machining Operations

The success of an industry today depends on its ability to innovate. In terms of energy performance, this innovation is reflected in the ability of manufacturers to implement new solutions or technologies that enable better energy management. In this regard, this paper aims to address this gap by incorporating energy consumption as an explicit criterion in flowshop scheduling of jobs and flexible preventive maintenance. Leveraging the variable speed of machining operations leading to different energy consumption levels, we explore the potential for energy saving in manufacturing. We develop a mixed integer linear multiobjective optimization model for minimizing the makespan and the total energy consumption. In the literature, no papers considering both production scheduling and flexible periods of maintenance with minimizing both objective the total of energy consumption in flowshop and makespan. The performance of the proposed mixed binary integer programming model is evaluated based on the exact method of branch and bound algorithm. A study of the results proved the performance of the model developed.

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Establishment of energy consumption model and multi-objective optimal control method of 6-DOF robotic crusher

Advances in Mechanical Engineering ◽

10.1177/1687814020967579 ◽

2020 ◽

Vol 12 (10) ◽

pp. 168781402096757

Author(s):

Guo-chen Duan ◽

Bo-qiang Shi ◽

Jie Gu

Keyword(s):

Energy Consumption ◽

Total Energy ◽

Mass Fraction ◽

Control Method ◽

Total Energy Consumption ◽

Precession Angle ◽

Multi Objective ◽

Consumption Ratio ◽

Optimization Function ◽

Chamber Size

In order to optimize the real-time crushing effect of 6-DOF robotic crusher, a model of energy consumption and a multi-objective optimization control method for 6-DOF robotic crusher are proposed. In optimization function, the optimization objective are total energy consumption, mass fraction of crushed products below 12 mm, energy consumption ratio, and throughput, and optimization variables are position of suspension point, rotational speed and precession angle of the moving cone. Among them, the function of total energy consumption and effective energy consumption is established and the function of total energy consumption is verified in this paper. The function of mass fraction of crushed products below 12 mm is based on previous research. Taking the full load working condition and chamber size of PYGB1821 crusher as an example. The solution of optimization is obtained. Compared with the traditional cone crusher under the same feed size distribution and chamber size, each objective can be effectively optimized, which can effectively reduce energy consumption and increase the crushing efficiency. This method is universal and can be used for the design and control of other crushing equipment.

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Energy savings potential of new aeration system: Full scale trials

Water Practice & Technology ◽

10.2166/wpt.2012.098 ◽

2012 ◽

Vol 7 (4) ◽

Author(s):

A. Lazić ◽

V. Larsson ◽

Å. Nordenborg

Keyword(s):

Control System ◽

Energy Consumption ◽

Total Energy ◽

Energy Savings ◽

Treatment Plant ◽

Full Scale ◽

Total Energy Consumption ◽

Aeration System ◽

Fine Bubble ◽

Aeration Control

The objective of this work is to decrease energy consumption of the aeration system at a mid-size conventional wastewater treatment plant in the south of Sweden where aeration consumes 44% of the total energy consumption of the plant. By designing an energy optimised aeration system (with aeration grids, blowers, controlling valves) and then operating it with a new aeration control system (dissolved oxygen cascade control and most open valve logic) one can save energy. The concept has been tested in full scale by comparing two treatment lines: a reference line (consisting of old fine bubble tube diffusers, old lobe blowers, simple DO control) with a test line (consisting of new Sanitaire Silver Series Low Pressure fine bubble diffusers, a new screw blower and the Flygt aeration control system). Energy savings with the new aeration system measured as Aeration Efficiency was 65%. Furthermore, 13% of the total energy consumption of the whole plant, or 21 000 €/year, could be saved when the tested line was operated with the new aeration system.

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