Scheduling optimization of flexible flow shop

Li, Xuefeng; Shen, Zhenhui; Dai, Lingmin

doi:10.1109/itoec.2018.8740423

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…However, little has been developed for the automation of repair activities and/or garage management which is still performed by humans without bespoke mobile open IT tools. Usual techniques involve manual task completion [34], Gantt chart [35], or Excel spreadsheet [36]. More advanced tools include Microsoft Elva DMS Scheduler [37], which is a planning tool for the management of the arrival time of cars, the completion of work of individual mechanics, and the car service operations, e.g.…”

Section: Introductionmentioning

confidence: 99%

Automated Task Scheduling for Automotive Industry

Lewandowski

Olszewska

2020

2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)

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Nowadays, the automotive industry requires an increased use of intelligent systems to endure. In this paper, we present a new solution for automated task scheduling to help automotive industry in efficiently managing garage employees' time and improving the effectiveness of the servicing and maintenance tasks of vehicles. The developed approach consists in a set of interconnected web applications with a model-view-controller based-on architecture and expert-knowledge temporal logic rules to automate the assignment of the daily workload for engineers working on multiple workstations within an automotive company. The proposed intelligent system prioritises and selects tasks for these engineers; the scheduled tasks being automatically ordered and displayed accordingly on screens visible in the related garage workstations. This automated task scheduling system has been successfully deployed within Arnold Clark Automobiles Ltd Company, and the performance of this new application used by a group of engineers under real-world operational conditions have been assessed and analysed.

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Section: Introductionmentioning

confidence: 99%