Evaluation of the impact of information delays on flexible manufacturing systems performance in dynamic scheduling environments

Caprihan, Rahul; Kumar, Ashok; Stecke, Kathryn E.

doi:10.1007/s00170-013-4755-x

Cited by 18 publications

(14 citation statements)

References 40 publications

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“…Information delay has an adverse effect on flexible manufacturing system performance rate and the potential to disrupt production schedules [44]. Also, with the increasing demand for utilizing cloud manufacturing any interruption with the resource allocation, service composition and service operation management could adversely affect system performance [45][46][47].…”

Section: Performancementioning

confidence: 99%

Cybersecurity Concerns for Total Productive Maintenance in Smart Manufacturing Systems

Zarreh¹,

Wan²,

Lee³

et al. 2019

Preprint

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Maintenance is the core function to keep a system running and avoid failure. Total Productive Maintenance (TPM) has broadly utilized maintenance strategy to improve the customer's satisfaction and hence obtain a competitive advancement. However, the complexity of smart manufacturing systems due to the recent advancements, specifically the integration of internet and network systems with traditional manufacturing platforms, has made this function more challenging. The focus of this paper is to explain how cybersecurity could impact the TPM by affecting the overall equipment effectiveness (OEE) in a smart manufacturing system by providing a structured literature survey. First, it provides concerns on principle of TPM regarding cybersecurity in smart manufacturing systems. Then, it highlights the effect of a variety of cyber-physical threats on OEE, as a main key performance indicator of TPM and how differently they can reduce OEE. The countermeasures that could be considered to compensate for the negative impact of a cybersecurity threat on the overall effectiveness of the system also will be discussed. Finally, research gaps and challenges are identified to improve overall equipment effectiveness (OEE) in presence of cybersecurity threats in critical manufacturing industries.

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Section: Performancementioning

confidence: 99%

Cybersecurity Concerns for Total Productive Maintenance in Smart Manufacturing Systems

Zarreh¹,

Wan²,

Lee³

et al. 2019

Preprint

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“…A survey was elaborated to test if industry and/or academia experience alone were sufficient to characterize faults according to the groups. [5] discrepancies between measured and real values of system variables sensor offset or stuck-off/stuck-on [5] discrepancies between input commands for actuators and real output actuator stuck-off/stuck-on [23] robot arm not lowering sensor failing to sense parameters [24] derailed AGV error on the encoder or inaccurate correction [16] lost item by a gripper that is moved by a pneumatic actuator not specified [23] failure to close gripper disconnected cable between PLC and gripper [3] inaccurate records at the MRP software not specified machine [6] signals from the sensors in the rotating machine with random peaks tool-break or very high tool-wear [6] signals from the sensors in the rotating machine with uniform peaks slight tool-wear [20] operator with musculoskeletal disorders machine vibration exposure [14] diminished spatial positioning precision in a machining center bearing vibrations in the electro spindle movement caused by lack of lubricant, bearing shock, bearing wear, shaft vibrations, and/or increased rotational speed [14] increased engine torque in a machining center increased rolling resistance in the electrospindle due to wearied bear infrastructure [5] changes in system dynamics tank leakage or obstructed pipe [10] communication problems of several components of the plant defect optical fiber [10] low voltage in the energy supply system, making a gate system not move defect energy cable [10] misalignment of robot axis defective connector in the communication module of the robot [4] stalled motor drive blocked cooling oil pipeline, low pressure [22] operator with back injuries low storage point of parts compared to machine height [2] mobile robot (AGV) fault slow charging due to infrastructure issues Continued on next page poor solder quality on several printed circuit boards (PCBs)…”

Section: Field Researchmentioning

confidence: 99%

“…Since FMSs have a high degree of automation, the time frame which processes occurs is much shorter when compared to conventional manufacturing systems. Hence any small delay could cause severe disruptions in production schedules [3]. This dependance of trouble-free operation [4] leads to several studies in the domain of fault analysis and diagnosis related to FMS.…”

Section: Introductionmentioning

confidence: 99%

Proposal of Fault Characterization in Automotive Flexible Manufacturing Systems (Fms)

Padilha¹,

Silva²,

Silva³

et al. 2018

Blucher Engineering Proceedings

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Flexible manufacturing systems (FMS) have a high degree of automation, complexity and flexibility, making it possible to manufacture multiple models of products within the same manufacturing cell with few layout changes. In this environment, intermittent and/or random faults are caused by various agents. Consequences of such faults could vary from short production downtime to irreversible loss of planned volumes. Although there are several methods to identify modes of failures and the corresponding criticality, no methods were found to characterize faults with respect to its nature. The importance of such characterization range from manufacturing design to root cause identification. This paper proposes a procedure to characterize faults in FMS. The work is divided in an introduction, four sections and a conclusion. In section one the methodology is presented. In section two the theoretical background is developed. Section three presents results of a survey applied to collect data about the importance and understanding of the topic. In section four the procedure is described. Finally, the conclusions are presented as well as recommendations for future studies.

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“…In [32], an improved effective genetic algorithm using Taguchi approach was presented that minimized total order completion time (makespan). In [33], an algorithm that studied the effect associated with scheduling rules based on the performance of a dynamic scheduling in flexible manufacturing systems was presented using Taguchi approach. In [34], a Taguchi-based genetic algorithm (TBGA) that solved the problem of job shop scheduling was presented.…”

Section: Related Scheduling Work Based Taguchi Approachmentioning

confidence: 99%

Solving Task Scheduling Problem in Cloud Computing Environment Using Orthogonal Taguchi-Cat Algorithm

Gabi

Ismail

Zainal

et al. 2017

IJECE

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In cloud computing datacenter, task execution delay is no longer accidental. In recent times, a number of artificial intelligence scheduling techniques are proposed and applied to reduce task execution delay. In this study, we proposed an algorithm called Orthogonal Taguchi Based-Cat Swarm Optimization (OTB-CSO) to minimize total task execution time. In our proposed algorithm Taguchi Orthogonal approach was incorporated at CSO tracing mode for best task mapping on VMs with minimum execution time. The proposed algorithm was implemented on CloudSim tool and evaluated based on makespan metric. Experimental results showed for 20VMs used, proposed OTB-CSO was able to minimize makespan of total tasks scheduled across VMs with 42.86%, 34.57% and 2.58% improvement over Minimum and Maximum Job First (Min-Max<em>)</em>, Particle Swarm Optimization with Linear Descending Inertia Weight (PSO-LDIW) and Hybrid Particle Swarm Optimization with Simulated Annealing (HPSO-SA) algorithms. Results obtained showed OTB-CSO is effective to optimize task scheduling and improve overall cloud computing performance with better system utilization.

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Evaluation of the impact of information delays on flexible manufacturing systems performance in dynamic scheduling environments

Cited by 18 publications

References 40 publications

Cybersecurity Concerns for Total Productive Maintenance in Smart Manufacturing Systems

Cybersecurity Concerns for Total Productive Maintenance in Smart Manufacturing Systems

Proposal of Fault Characterization in Automotive Flexible Manufacturing Systems (Fms)

Solving Task Scheduling Problem in Cloud Computing Environment Using Orthogonal Taguchi-Cat Algorithm

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