Stochastic Modelling in Production Planning

Hübl, Alexander

doi:10.1007/978-3-658-19120-7

Cited by 5 publications

(5 citation statements)

References 35 publications

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“…The deterministic idea that all processing times are exactly known at the start of production is unrealistic for some industries and makes optimization studies not always applicable to real-world cases. However, in the literature, there is almost no effective scheduling approach of real-world stochastic production environment (Hübl 2018;Egilmez et al 2012). This paper bridges the gap between mostly unrealistic known information of processing time towards real-world application.…”

Section: Naderimentioning

confidence: 96%

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Applying a Hybrid Model to Solve the Job-Shop Scheduling Problem with Preventive Maintenance, Sequence-Dependent Setup Times and Unknown Processing Times

Ooms

Hübl

2022

2022 Winter Simulation Conference (WSC)

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Although, many researchers propose to optimize the job-shop scheduling problem using all processing times initially available, to mimic a more real-life environment, in this paper, processing times are unknown at the beginning of the optimization. The job-shop scheduling problem is considered with sequence-dependent setup times and preventive maintenance constraints. Processing times are revealed when products arrive at a machine. Unknown processing times will give a more real-world representation, where exact processing times aren't available. A hybrid model, combining discrete event simulation and optimization is applied to simulate the production process and to solve the job-shop problem. The hybrid model uses optimization by creating new production schedules when a job is processed, and when the product arrives at the next machine. The meta-heuristics of the genetic algorithm, ant colony optimization, and simulated annealing algorithm are used. The results showed significantly better results for the hybrid optimization than random sequencing of jobs.

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Section: Naderimentioning

confidence: 96%

“…If products have to wait for entering the machine, the machine is utilized due to a preventive maintenance activity. The long-term goal is to maximize machine utilization, because this ensures high use of resources (Hübl 2018). However, this makes the system inflexible to fluctuating demand.…”

Section: Utilizationmentioning

confidence: 99%

Applying a Hybrid Model to Solve the Job-Shop Scheduling Problem with Preventive Maintenance, Sequence-Dependent Setup Times and Unknown Processing Times

Ooms

Hübl

2022

2022 Winter Simulation Conference (WSC)

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“…The measurement of the performance of a production system serves as an effective tool to ensure a balance between the needs of production and environmental sustainability. Indeed, measuring performance permits the identification of areas of inefficiencies or inadequacies within the system, enabling subsequent adjustments to optimize resource use, minimize waste, and mitigate environmental impact [16]. Since traditional agriculture and VF share the same goal, several KPIs that have been developed for the first one may be applied to the latter.…”

Section: Introductionmentioning

confidence: 99%

An Evaluation of Research Interests in Vertical Farming through the Analysis of KPIs Adopted in the Literature

Fasciolo,

Awouda,

Grasso

et al. 2024

Sustainability

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Vertical farming has gained increased attention in recent years due to its capacity to reduce the environmental impact of agricultural production in terms of water consumption and soil and fertilizer usage. In the literature, many works describe and evaluate applications of vertical farming. However, no work addresses the issue of classifying the KPIs for vertical farming and highlights both the most assessed aspects and the lack of evaluations. The main contribution of this study is to conduct a literature review to identify and classify the KPIs used in vertical farming. To this aim, we first proposed a methodology to define the KPI categories. Then, we identified the KPIs used in the literature, and we classified them according to the defined categories. Finally, we analyzed the obtained results. As a result, a collection of 78 KPIs were compiled and organized into the proposed categories. The analyses on the frequency of the KPIs allow us to conclude that the KPIs related to productivity are the most used as compared to those related to sustainability and quality. Furthermore, very few papers perform a cross-category evaluation. This study underscores the necessity for a more balanced consideration of productivity, quality, and sustainability in the context of vertical farming.

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“…Due to the stochastic nature of real-world problems, it is often the case that analytical models and techniques cannot represent a particular queueing system adequately (Kolker 2010;Shortle et al 2018). Therefore, discrete event simulation is used more and more in recent literature dealing with real-world problems (Galankashi et al 2016;Hübl 2015;Jodlbauer and Huber 2008;Madadi et al 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Discrete event simulation is considered to be a suitable tool to model the stochastic behavior in the Belsimpel shops. Discrete event simulation is widely used to model processes (Hübl et al 2011;Hübl 2015;Fishman 1978). Other researchers have used discrete event simulation in retail settings as well.…”

Section: Introductionmentioning

confidence: 99%

Developing a Calibrated Discrete Event Simulation Model of Shops of a Dutch Phone and Subscription Retailer During COVID-19 to Evaluate Shift Plans to Reduce Waiting Times

Groot

Hübl²

2021

2021 Winter Simulation Conference (WSC)

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Belsimpel deals with large waiting times during peak times under COVID-19 circumstances compared to non-COVID-19 times. Therefore, a discrete event simulation model of the Belsimpel shops has been developed. However, the model is not validated due to data scarcity. This paper proposes a model calibration procedure based on the idea that service times decrease during high-demanded hours and increase otherwise. The results show that the proposed procedure enables the generation of realistic Key Performance Indicator values. The calibrated simulation model can be used for analyzing the performance of possible improvements. Accordingly, the calibrated model is applied to investigate the impact of an improved employee scheduling. The results show that the mean waiting time decreases by 20-33 %, the maximum waiting time decreases by 12-20 %, and the mean service level increases by 3-11 %. These improvements enhance customer satisfaction while scheduling the same number of working hours.

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Stochastic Modelling in Production Planning

Cited by 5 publications

References 35 publications

Applying a Hybrid Model to Solve the Job-Shop Scheduling Problem with Preventive Maintenance, Sequence-Dependent Setup Times and Unknown Processing Times

Applying a Hybrid Model to Solve the Job-Shop Scheduling Problem with Preventive Maintenance, Sequence-Dependent Setup Times and Unknown Processing Times

An Evaluation of Research Interests in Vertical Farming through the Analysis of KPIs Adopted in the Literature

Developing a Calibrated Discrete Event Simulation Model of Shops of a Dutch Phone and Subscription Retailer During COVID-19 to Evaluate Shift Plans to Reduce Waiting Times

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