Energy-efficient path planning for a single-load automated guided vehicle in a manufacturing workshop

Zhang, Zhongwei; Wu, Lihui; Zhang, Wenqiang; Peng, Tao; Zheng, Jun

doi:10.1016/j.cie.2021.107397

Cited by 45 publications

(29 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The MOPSO applied in this study was the improvement of our previous work, and its performance had been compared with the common benchmark algorithm NSGA-II in solving some representative MOPs such as AGV path planning and process parameter optimization [8,43]. Theoretically, it is necessary to compare the proposed MOPSO with some other typical meta-heuristic methods to solve the same FLP.…”

Section: Methodsmentioning

confidence: 99%

“…Ideally, the empty transport EC should also be taken into account when evaluating the total transport EC. However, owing to the limited AGV resources in a manufacturing workshop, the empty transport EC of each AGV mainly depends on the execution order of the transport tasks assigned to it, and the specific planned path [8], which are the focus of the transport task scheduling and path planning research, respectively. Therefore, we only considered load transport EC in this study.…”

Section: Problem Description and Energy-efficient Facility Layout Mod...mentioning

confidence: 99%

“…Besides, considering the indoor transport environment and the relatively slow AGV speed, air resistance can also be neglected. Then, from the perspective of motion [8], the AGV transport EC in the load transport process is composed of the standby and uniform motion EC. As long as an AGV is powered on, the standby motion always exists regardless of whether the AGV executes a transport task.…”

Section: Transport Energy Consumption Analysismentioning

confidence: 99%

“…[3,4], and energy consumption (EC) or other EC-related environmental impact indicators are seldom touched on. It has been proved by numerous existing research that energy-efficient scheduling is a crucial approach to minimize the EC of machining systems with various forms (e.g., flow shop, job shop, and flexible job shop) [5][6][7], and energy-efficient path planning is beneficial to reducing transport EC [8]. As a typical manufacturing system, a machining system (MS) usually consists of many different elements, such as machine tools, automated material handling systems, and tool storage [9].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Energy-Saving Oriented Manufacturing Workshop Facility Layout: A Solution Approach Using Multi-Objective Particle Swarm Optimization

Zhang

et al. 2022

Sustainability

Self Cite

View full text Add to dashboard Cite

Low-carbon sustainable development has become the consensus of manufacturing enterprises to fulfill their social responsibilities. Facility layout is an essential part of manufacturing system planning. Current research has demonstrated the advantages of energy saving on the manufacturing system level where operational methods (e.g., energy-efficient production scheduling and path planning) can be utilized and do not require massive investment in the existing legacy system. However, these efforts are mostly based on the existing fixed facility layout. Meanwhile, although facility layout problems have been extensively studied so far, the related work seldom involves the optimization of energy consumption (EC) or other EC-related environmental impact indicators, and does not clearly reveal if EC can be an independent optimization objective in facility layout. Accordingly, whether the energy-saving potential of a manufacturing system can be further tapped through rational facility layout is the gap of the current study. To address this, an investigation into energy-saving oriented manufacturing workshop facility layout is conducted. Correspondingly, an energy-efficient facility layout (EFL) model for the multi-objective optimization problem that minimizes total load transport distance and EC is formulated, and a multi-objective particle swarm optimization-based method is proposed as the solution. Furthermore, experimental studies verify the effectiveness of the presented model and its solution, indicating that EC can be regarded as an independent optimization objective during facility layout, and EFL is a feasible energy-saving approach for a manufacturing system.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Problem Description and Energy-efficient Facility Layout Mod...mentioning

confidence: 99%

Section: Transport Energy Consumption Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Energy-Saving Oriented Manufacturing Workshop Facility Layout: A Solution Approach Using Multi-Objective Particle Swarm Optimization

Zhang

et al. 2022

Sustainability

Self Cite

View full text Add to dashboard Cite

show abstract

“…Nowadays, energy conservation and green manufacturing have already become a trend of manufacturing industry [5]. Nevertheless, the current energy-saving research is still focused on automated workstations or production equipment, and the optimization of the material handling system in FMS is insufficient.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous Multitype Fleet Green Vehicle Path Planning of Automated Guided Vehicle with Time Windows in Flexible Manufacturing System

et al. 2022

View full text Add to dashboard Cite

In this study, we present and discuss a variant of the classical vehicle routing problem (VRP), namely the heterogeneous multitype fleet green automated guided vehicle (AGV) routing problem with time windows (HFGVRPTW) applied in the workshops of flexible manufacturing systems (FMS). Specifically, based on the analysis of AGV body structure and motion state, transport distance and energy consumption are selected as two optimization objectives. According to the characteristics and application context of the problem, this paper designs a hybrid genetic algorithm with large neighborhood search (GA-LNS) considering the farthest insertion heuristic. GA-LNS is improved by increasing the local search ability of genetic algorithm to enhance the solution optimal quality. Extensive computational experiments which are generated from Solomon’s benchmark instances and a real case of FMS are designed to evaluate and demonstrate the efficiency and effectiveness of the proposed model and algorithm. The experimental results reveal that compared with using the traditional homogeneous fleet, the heterogeneous multitype AGV fleet transportation mode has a huge energy-saving potential in workshop intralogistics.

show abstract

A digital twin-driven flexible scheduling method in a human–machine collaborative workshop based on hierarchical reinforcement learning

Zhang

Bao

et al. 2023

Flex Serv Manuf J

View full text Add to dashboard Cite

Energy-efficient path planning for a single-load automated guided vehicle in a manufacturing workshop

Cited by 45 publications

References 49 publications

Energy-Saving Oriented Manufacturing Workshop Facility Layout: A Solution Approach Using Multi-Objective Particle Swarm Optimization

Energy-Saving Oriented Manufacturing Workshop Facility Layout: A Solution Approach Using Multi-Objective Particle Swarm Optimization

Heterogeneous Multitype Fleet Green Vehicle Path Planning of Automated Guided Vehicle with Time Windows in Flexible Manufacturing System

A digital twin-driven flexible scheduling method in a human–machine collaborative workshop based on hierarchical reinforcement learning

Contact Info

Product

Resources

About