Characterization of continuous precise workload control and analysis of idleness penalty

Akillioglu, Hakan; Dias-Ferreira, João; Onori, Mauro

doi:10.1016/j.cie.2016.06.026

Cited by 2 publications

(2 citation statements)

References 22 publications

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“…Instead, they wait in a pre-shop pool for authorization to be released, according to the workload levels. This authorization is only given whenever jobs follow certain Workload Control rules associated with the work centres of its course [1].…”

Section: Workload Controlmentioning

confidence: 99%

Performance Evaluation of Different Mechanisms of Production Activity Control in the Context of Industry 4.0

Costa

Martins

et al. 2019

Proceedings of the International Conference of Mechatronics and Cyber-MixMechatronics – 2019

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Production Activity Control (PAC) is fundamental to Production Management, since it allows for meeting deadlines, ensuring product quality and reducing production costs. For these reasons, it is essential for the improvement of enterprise performance to understand the production system and its integrated parts. Another production concept linked to the efficiency of enterprise performance is Industry 4.0. This is the most recent revolution of industry and one of its main goals are related with the integration of production activity control by using information technologies. The objective of this project is to implement three different mechanisms of Production Activity Control in a Flexible Flow Shop (FFS), composed of three stages with three parallel machines each. The mechanisms implemented are Workload Control (WLC), Generic Kanban System (GKS) and Drum-Buffer-Rope (DBR), and all are associated with a make-to-order (MTO) production. Additionally, three independent machine selection criteria are evaluated: Random, Load Hours and Load Units. Simio software is used for the simulation of the production system and results are given by diverse Key Performance Indicators (KPIs). After completing simulations, it can be concluded that DBR is the mechanism of PAC with the best performance for the studied scenarios. However, the scenario with the smallest value of load norm is compromising the performance of WLC. Otherwise, this mechanism would be the one with the best performance. Regarding the machine selection criteria, Load Hours is the criterion with the best performance for almost all the KPIs.

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Section: Workload Controlmentioning

confidence: 99%

Performance Evaluation of Different Mechanisms of Production Activity Control in the Context of Industry 4.0

Costa

Martins

et al. 2019

Proceedings of the International Conference of Mechatronics and Cyber-MixMechatronics – 2019

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“…below 90%, see Bertolini et al 2016a), typical of many Small and Medium sized Enterprises (SMEs). To counteract this drawback, alternative methodologies for workload aggregation and accounting over time have been proposed and tested (Akillioglu et al 2016;Bergamaschi et al 1997), sophisticated dispatching rules have been devised and the standard job-release mechanism has been improved by using, for instance, anti-starvation approaches (Fernandes et al 2017). Although numerical simulations have often proved the quality of these approaches, we note that further complexity is added into a complicated PPC system to achieve an improvement in terms of on time deliveries.…”

Section: Introductionmentioning

confidence: 99%

Defining accurate delivery dates in make to order job-shops managed by workload control

2020

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Workload control (WLC) is a lean oriented system that reduces queues and waiting times, by imposing a cap to the workload released to the shop floor. Unfortunately, WLC performance does not systematically outperform that of push operating systems, with undersaturated utilizations levels and optimized dispatching rules. To address this issue, many scientific works made use of complex job-release mechanisms and sophisticated dispatching rules, but this makes WLC too complicated for industrial applications. So, in this study, we propose a complementary approach. At first, to reduce queuing time variability, we introduce a simple WLC system; next we integrate it with a predictive tool that, based on the system state, can accurately forecast the total time needed to manufacture and deliver a job. Due to the non-linearity among dependent and independent variables, forecasts are made using a multi-layer-perceptron; yet, to have a comparison, the effectiveness of both linear and non-linear multi regression model has been tested too. Anyhow, if due dates are endogenous (i.e. set by the manufacturer), they can be directly bound to this internal estimate. Conversely, if they are exogenous (i.e. set by the customer), this approach may not be enough to minimize the percentage of tardy jobs. So, we also propose a negotiation scheme, which can be used to extend exogenous due dates considered too tight, with respect to the internal estimate. This is the main contribution of the paper, as it makes the forecasting approach truly useful in many industrial applications. To test our approach, we simulated a 6-machines job-shop controlled with WLC and equipped with the proposed forecasting system. Obtained performances, namely WIP levels, percentage of tardy jobs and negotiated due dates, were compared with those of a set classical benchmark, and demonstrated the robustness and the quality of our approach, which ensures minimal delays.

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Characterization of continuous precise workload control and analysis of idleness penalty

Cited by 2 publications

References 22 publications

Performance Evaluation of Different Mechanisms of Production Activity Control in the Context of Industry 4.0

Performance Evaluation of Different Mechanisms of Production Activity Control in the Context of Industry 4.0

Defining accurate delivery dates in make to order job-shops managed by workload control

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