Integrated fault-tolerant control of assembly and automated guided vehicle-based transportation layers

Majdzik, Paweł; Witczak, Marcin; Lipiec, Bogdan; Banaszak, Zbigniew

doi:10.1080/0951192x.2021.1872103

Cited by 15 publications

(4 citation statements)

References 16 publications

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“…Yoo et al [48] investigate the important factors for cloud computing adoption, while Marinho et al [49] proposed decision support for I4.0 that guides decision makers in adoption of cloud enterprise resource planning. Majdzik et al [50] proposed approach that focused on the concurrency and synchronization problem between assembly line and AGV.…”

Section: Motivation For the Proposed Proceduresmentioning

confidence: 99%

Optimization of Industry 4.0 Implementation Selection Process towards Enhancement of a Manual Assembly Line

et al. 2021

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Last year’s developments are characterized by a dramatic drop in customer demand leading to stiff competition and more challenges that each enterprise needs to cope with in a globalized market. Production in low-mix/high-volume batches is replaced with low-volume/high-variety production, which demands excessive information flow throughout production facilities. To cope with the excessive information flow, this production paradigm requires the integration of new advanced technology within production that enables the transformation of production towards smart production, i.e., towards Industry 4.0. The procedure that helps the decision-makers to select the most appropriate I4.0 technology to integrate within the current assembly line considering the expected outcomes of KPIs are not significantly been the subject of the research in the literature. Therefore, this research proposes a conceptual procedure that focus on the current state of the individual assembly line and proposes the technology to implement. The proposed solution is aligned with the expected strategic goals of the company since procedure takes into consideration value from the end-user perspective, current production plans, scheduling, throughput, and other relevant manufacturing metrics. The validation of the method was conducted on a real assembly line. The results of the validation study emphasize the importance of the individual approach for each assembly line since the preferences of the user as well as his diversified needs and possibilities affect the optimal technology selection.

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Section: Motivation For the Proposed Proceduresmentioning

confidence: 99%

Optimization of Industry 4.0 Implementation Selection Process towards Enhancement of a Manual Assembly Line

et al. 2021

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“…Chiu et al (2012) integrated both preventive maintenance and rush orders in a two-machine flow shop [9]. Witczak et al (2020Witczak et al ( , 2022 addressed fault diagnosis and fault-tolerant control. They developed a mathematical description of multi-AGVs along with an algorithm that can generate an optimum sequence [10][11].…”

Section: Introductionmentioning

confidence: 99%

Scheduling Approach of Automatic Guided Vehicle Considering Equipment Failure and Power Management

Fan

Jiang²

2023

Preprint

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Predictive management on power consumption during static scheduling of outfitting automatic transportation equipment is very difficult. In addition, dynamic scheduling has poor response ability to sudden failures. To solve this problem, this paper proposes an AGV (Automatic Guided Vehicle) scheduling approach for outfitting warehouse considering equipment failure and power management. Firstly, based on the power consumption rate function, the power consumption model of AGV for transport task is established. According to the departure power and task consumption power, the charging time and the return time of the AGV are calculated. Secondly, the optimization model of AGV scheduling is established with the goal of minimizing the total transport time. Further, the variable definitions of overhaul and minor repair for AGV are made, and the scheduling strategy for sudden failure is proposed. Finally, an optimization algorithm based on power consumption and failure maintenance for outfitting vehicle scheduling is developed to solve the optimization model in a case. The proposed method can pre plan the charging time according to the vehicle power consumption. Rescheduling is carried out for sudden failure and charging return to improve the dynamic response capability of outfitting transport vehicles.

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“…Another core challenge is the design and implementation of such scheduling methods that will guarantee the task's flow consistent with the assumed schedule, and will additionally compensate for the effects of probable violations of the schedule. Majdzik et al (2021) and Witczak et al (2020) present a FTC scheme for fully automated systems, guaranteeing the flow of parallel tasks according to a reference schedule. It is obvious that the proposed solutions concern a specific set of faults whose effects can be compensated for in a fully automated way by accelerating the execution of other tasks.…”

Section: Introductionmentioning

confidence: 99%

“…It is obvious that the proposed solutions concern a specific set of faults whose effects can be compensated for in a fully automated way by accelerating the execution of other tasks. However, in a system where tasks are performed by human operators, the solutions proposed by Majdzik et al (2021) and Witczak et al (2020) must be extended to take into account the impact of objective, non-deterministic factors, such as work shift length, tiredness, experience, skills (Nivolianitou and Konstantinidou, 2018) on the human operator's efficiency. These factors pose an inevitable uncertainty during the forming of a model of human operators.…”

Section: Introductionmentioning

confidence: 99%

A feasible schedule for parallel assembly tasks in flexible manufacturing systems

Majdzik

2022

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The paper concerns the design of a framework for implementing fault-tolerant control of hybrid assembly systems that connect human operators and fully automated technical systems. The main difficulty in such systems is related to delays that result from objective factors influencing human operators' work, e.g., fatigue, experience, etc. As the battery assembly system can be considered a firm real-time one, these delays are treated as faults. The presented approach guarantees realtime compensation of delays, and the fully automated part of the system is responsible for this compensation. The paper begins with a detailed description of a battery assembly system in which two cooperating parts can be distinguished: fully automatic and semi-automatic. The latter, nonderministic in nature, is the main focus of this paper. To describe and analyze the states of the battery assembly system, instead of the most commonly used simulation, the classic max-plus algebra with an extension allowing one to express non-deterministic human operators' work is used. In order to synchronize tasks and schedule (according to the reference schedule) automated and human operators' tasks, it is proposed to use a wireless IoT platform called KIS.ME. As a result, it allows a reference model of human performance to be defined using fuzzy logic. Having such a model, predictive delays tolerant planning is proposed. The final part of the paper presents the achieved results, which clearly indicate the potential benefits that can be obtained by combining the wireless KIS.ME architecture (allocated in the semi-automatic part of the system) with wired standard production networks.

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Integrated fault-tolerant control of assembly and automated guided vehicle-based transportation layers

Cited by 15 publications

References 16 publications

Optimization of Industry 4.0 Implementation Selection Process towards Enhancement of a Manual Assembly Line

Optimization of Industry 4.0 Implementation Selection Process towards Enhancement of a Manual Assembly Line

Scheduling Approach of Automatic Guided Vehicle Considering Equipment Failure and Power Management

A feasible schedule for parallel assembly tasks in flexible manufacturing systems

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