Author:
Kong Min,Wu Peng,Zhang Yajing,Wang Weizhong,Deveci Muhammet,Kadry Seifedine
Abstract
AbstractImplementing green and sustainable development strategies has become essential for industrial robot manufacturing companies to fulfill their societal obligations. By enhancing assembly efficiency and minimizing energy consumption in workshops, these enterprises can differentiate themselves in the fiercely competitive market landscape and ultimately bolster their financial gains. Consequently, this study focuses on examining the collaborative assembly challenges associated with three crucial parts: the body, electrical cabinet, and pipeline pack, within the industrial robot manufacturing process. Considering the energy consumption during both active and idle periods of the industrial robot workshop assembly system, this paper presents a multi-stage energy-efficient scheduling model to minimize the total energy consumption. Two classes of heuristic algorithms are proposed to address this model. Our contribution is the restructuring of the existing complex mathematical programming model, based on the structural properties of scheduling sub-problems across multiple stages. This reformation not only effectively reduces the variable scale and eliminates redundant constraints, but also enables the Gurobi solver to tackle large-scale problems. Extensive experimental results indicate that compared to traditional workshop experience, the constructed green scheduling model and algorithm can provide more precise guidance for the assembly process in the workshop. Regarding total energy consumption, the assembly plans obtained through our designed model and algorithm exhibit approximately 3% lower energy consumption than conventional workshop experience-based approaches.
Funder
Ministry of Education of Humanities and Social Science
China Postdoctoral Science Foundation
Anhui Provincial Department of Education
Natural Science Foundation of Anhui Province
Anhui Province University Collaborative Innovation Project
Science and Technology Plan Project of Wuhu
National Natural Science Foundation of China
Anhui Provincial Key Research and Development Plan
Publisher
Springer Science and Business Media LLC
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