Simulation-based evaluation of an energy oriented production planning system

Abele, Michael; Unterberger, Eric; Friedl, Thomas; Carda, Stephan; Roth, S.; Hohmann, Andrea; Reinhart, Gunther

doi:10.1016/j.procir.2020.05.044

Cited by 12 publications

(5 citation statements)

References 9 publications

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“…Another approach is to compare the energy demand of each process step and materials to determine energy-intense processes which may be relocated. An energy-efficient production planning can be achieved by considering factors such as process technology, batch size, scheduling, and peak load reduction (Abele et al 2020;Bank et al 2021;Biel/Glock 2016;Liang et al 2019;Mousavi et al 2016). Scientific approaches for integrating ecological factors in process chain planning include forecasting energy and resource consumption.…”

Section: Production Planningmentioning

confidence: 99%

How can industrial management contribute to a brighter future?

2023

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Industrial management is facing many challenges, one need is to adopt sustainable practices. As climate change is becoming an increasingly urgent problem, industrial management must find ways to reduce waste and pollution, conserve natural resources, and protect the environment and employees. Industrial management also needs to embrace new technologies like virtual reality, artificial intelligence, and the Internet of Things. These challenges are becoming more prevalent, managers and decision makers must find ways to adopt these new technologies in order to remain competitive. Furthermore, with the workforce becoming more diverse and globalized organisations have to attract and retain top talent. For industrial management it is important to create an inclusive work environment. Current research approaches from the members of the Scientific Society for Work and Business Organisation (WGAB) are presented in this book.

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Section: Production Planningmentioning

confidence: 99%

How can industrial management contribute to a brighter future?

2023

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Section: Production Planningmentioning

confidence: 99%

Green Digital Twins in the Product Life Cycle

Deuse,

Wagstyl,

Hernandez Moreno

et al. 2023

How Can Industrial Management Contribute to a Brighter Future?

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Reducing emissions from industrial processes is crucial for global cli-mate protection goals. Many countries have set ambitious targets, such as Germany's goal to reduce industrial emissions by 20% before 2030. To achieve these goals, innovative technologies for sustainable industrial production are needed. Digital technologies offer opportunities to analyze energy and resource consumption, leading to data-driven improvements that contribute to climate protection. The demand for traceability solutions, including product carbon footprints and digital product passports, has increased due to EU regulations. Digital technologies have emerged as powerful enablers to meet this demand. Green Digital Twins, which optimize energy efficiency, minimize carbon emissions, and reduce environmental impact, provide a technological solution for sustainable transformation. While digital twins have gained traction in the industrial environment through standardization and demonstration activities, the technological impact throughout the product life cycle have not been adequately considered. This research paper explores how green Digital Twins contribute to sustainable industrial production throughout the product life cycle. The findings highlight opportunities and challenges in revealing emissions and constructing green Digital Twins for various purposes, thereby contributing to climate protection targets. Jochen Deuse (1, 2), WagstylDavid (1), Victor Hernandez Moreno (2), Mikhail Polikarpov (1), René Wöstmann (1), Florian Hoffmann

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“…If the energy consumption and energy costs in the production environment are to be considered in particular, specific work can also be found for this. Abele et al [18] simulate disruptions in order to investigate their effects on the energy flexibility and costs of an energy-optimal production plan. The energy-optimized plan serves as an input variable for the subsequent simulation of faults.…”

Section: Risk Management and Energy-oriented Ppcmentioning

confidence: 99%

“…start ks ≤ end ks − duration ks , ∀i ∈ I, k ∈ K , (18) where start ks describes the start time of job k on working station s and end ks the due date of the job k on station s. The duration of job k on station s is described by duration ks .…”

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confidence: 99%

Risk Treatment for Energy-Oriented Production Plans through the Selection, Classification, and Integration of Suitable Measures

et al. 2022

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With rising electricity prices, industries are trying to exploit opportunities to reduce electricity costs. Adapting to fluctuating energy prices offers the possibility to save electricity costs without reducing the performance of the production system. Production planning and control play key roles in the implementation of the adjustments. By taking into account the price forecasts for the electricity markets in addition to machine utilization, work in process, and throughput time, an energy-oriented production plan is set up. The electrical energy is procured based on this plan and the associated load profile. Deviations from the forecast and the purchased amount of electricity lead to high penalties, as they can destabilize the energy system. For manufacturing companies, this means that machine failures and other unexpected events must be dealt with in a structured manner to avoid these penalty costs. This paper presents an approach to selecting, classifying, and integrating suitable measures from existing risk treatment paths into the production schedule. The selection of measures is based on a hybrid multi-criteria decision-making method in which the three relevant criteria, namely, cost, energy flexibility, and risk reduction, are weighted by applying both an analytic hierarchy process and entropy, and they are then prioritized according to multi-attribute utility theory. In the following, the subdivision into preventive and reactive measures is made in order to choose between the modification of the original plan or the creation of backup plans. With the help of mathematical optimization, the measures are integrated into the production schedule by minimizing the cost of balancing energy. The approach was implemented in MATLAB® and validated using a case study in the foundry industry.

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Simulation-based evaluation of an energy oriented production planning system

Cited by 12 publications

References 9 publications

How can industrial management contribute to a brighter future?

How can industrial management contribute to a brighter future?

Green Digital Twins in the Product Life Cycle

Risk Treatment for Energy-Oriented Production Plans through the Selection, Classification, and Integration of Suitable Measures

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