A Heuristic Approach to Schedule Mobile Robots in Flexible Manufacturing Environments

Dang, Quang-Vinh; Lam, Nguyen Duc

doi:10.1016/j.procir.2016.01.073

Cited by 21 publications

(7 citation statements)

References 12 publications

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“…Examples for such operations are Geraleh et al [23], Xin et al [24], or Schmidt et al [25]. Further VRP applications are developed for intra-logistic operations minimizing makespans or penalizing earliness and tardiness, as for instance presented by Dang and Nguyen [26] or by Fazlollahtabar et al [27]. In 2015, Murray and Chu [28] present an article concerning AUAV and different operation modes minimizing the aerial delivery time.…”

Section: Vehicle Routing Problemsmentioning

confidence: 99%

“…Similarly, constraint (25) prevents a customer location from being visited after the corresponding time window has expired. Constraint (26) ensures that within tour the arrival time at location is not before the arrival time at location plus the service time and travel time between both locations. Similarly, constraint (27) requires that within tour the arrival time at location is not after the arrival time at location plus service time and travel time between both locations.…”

Section: Problem Assumptions and Notationmentioning

confidence: 99%

See 1 more Smart Citation

Autonomous Unmanned Ground Vehicles for Urban Logistics: Optimization of Last Mile Delivery Operations

Sonneberg¹,

Leyerer²,

Kleinschmidt³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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In an era dominated by ongoing urbanization and rising e-commerce, the efficient delivery of goods within cities becomes a major challenge. As a new element of urban logistics, we discuss the potential of autonomous unmanned ground vehicles (AUGV) regarding the last mile delivery of shipments to customers. We propose an optimization model to minimize the delivery costs of urban shipments using AUGV. Simultaneously, best locations from a set of existing stations are selected for AUGV positioning and optimal route determination. With our developed Location Routing Problem, we provide decision support for parcel service providers, city authorities, and other relevant decision makers. Regarding the Green Information Systems domain, we tackle the lack of solution-oriented research addressing a more sustainable and locally emission free supply of goods within urban areas.

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Section: Vehicle Routing Problemsmentioning

confidence: 99%

Section: Problem Assumptions and Notationmentioning

confidence: 99%

Autonomous Unmanned Ground Vehicles for Urban Logistics: Optimization of Last Mile Delivery Operations

Sonneberg¹,

Leyerer²,

Kleinschmidt³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Scheduling the different tasks assigned to the MR and maximizing the efficiency of the implementation is critical [10] to intelligent manufacturing. TOMRs are chosen as target platforms due to their flexibility and versatility [6].…”

Section: Introductionmentioning

confidence: 99%

“…So, the energy consumption of MRs comes from four subsystems of MR: Motion system, control system, sensor system, and communication system, as shown in Figure 2. Scheduling the different tasks assigned to the MR and maximizing the efficiency of the implementation is critical [10] to intelligent manufacturing. TOMRs are chosen as target platforms due to their flexibility and versatility [6].…”

Section: Introductionmentioning

confidence: 99%

Energy Modeling and Power Measurement for Three-Wheeled Omnidirectional Mobile Robots for Path Planning

2019

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Due to their high mobility, mobile robots (MR) are widely used in intelligent manufacturing. Due to the perfect symmetry of the MR of the three-wheeled moving chassis, it can move quickly in a crowded and complex factory environment. Because it is powered by a lithium battery, in order to improve its energy efficiency, we need to ensure that its power consumption is reduced as much as possible in order to avoid frequent battery replacement. The power consumption of MRs has also become an important research focus for researchers. Therefore, a power consumption modeling of the omnidirectional mobility of the three-wheeled omnidirectional mobile robot (TOMR) is proposed in this paper. When TOMR advances heading at different angles, the speed of each wheel changes dramatically. So, the power consumption of robots will also be greatly changed. In this paper, the energy and power consumption of the robot heading in different directions is analyzed and modeled by formulas. This research can be valuable for path planning and control design. Omnidirectional wheel (a) (b) Figure 1. Three-wheeled omnidirectional mobile robot (TOMR). (a) Schematic of TOMR and a (b) schematic diagram of robot architecture.

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“…The optimization goals can be task characteristics of the EE location and force capability (Carriker et al , 1989), stability (Huang and Sugano, 1995, Huang et al , 1998), strength and obstacle avoidance (Pin et al , 1994), avoiding singularities (Mitsi et al , 2008), manipulability (Shin, 2003), manipulating efficiency (Dang and Nguyen, 2016), etc. The heuristic method (Carriker et al , 1989; Mitsi et al , 2008; Dang and Nguyen, 2016), simulated annealing (Carriker et al , 1990, 1991), genetic algorithms (Zhao et al , 1994; Seriani et al , 2014), fuzzy systems (Synodinos et al , 2015; Raja and Dutta, 2015), etc., were then used to solve such optimization problems. The methods in these studies optimized task planning in accordance with different requirements and achieved positive results with their mobile manipulator systems.…”

Section: Introductionmentioning

confidence: 99%

Task planning for mobile painting manipulators based on manipulating space

Wang

Ren

et al. 2018

Assembly Automation

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Purpose To paint large workpieces automatically, painting manipulators with hollow wrists must be transported by mobile platforms to different positions because of their limited workspaces. This paper aims to provide a visualization method for finding appropriate base positions (BPs) and maximum painting areas for manipulators. Design/methodology/approach This paper begins by analyzing the motion characteristics of manipulators possessing a spherical wrist and summarizing them into three constraints – positioning, orientation and singularity avoidance. The hollow wrist is simplified and considered as spherical by introducing the concepts of an inner wrist center and an outer wrist center. Taking the three constraints into consideration, the boundaries of the manipulating space are formulated analytically. Finally, to verify the method, the space obtained is applied to determine the maximum painting areas for flat, cylindrical and conical surfaces. Experiments of robotic painting were used to confirm the results. Findings Compared with previous studies, the maximum areas obtained using the proposed method increased by 17-131 per cent with an algorithm of lower complexity, and the process remained visually intuitive, thereby demonstrating that the method of manipulating space is more effective. Originality/value Such a method allows individuals to visualize the entire painting area at the current BP, thereby maximizing painting areas or optimizing BPs. It opens a black box that is the relationship between BPs and blocks. The method can also be used to choose the best configuration for painting manipulators, select the end-effector structure parameters, split surfaces into blocks, etc.

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A Heuristic Approach to Schedule Mobile Robots in Flexible Manufacturing Environments

Cited by 21 publications

References 12 publications

Autonomous Unmanned Ground Vehicles for Urban Logistics: Optimization of Last Mile Delivery Operations

Autonomous Unmanned Ground Vehicles for Urban Logistics: Optimization of Last Mile Delivery Operations

Energy Modeling and Power Measurement for Three-Wheeled Omnidirectional Mobile Robots for Path Planning

Task planning for mobile painting manipulators based on manipulating space

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