TY - CHAP A1 - Terbrack, Hajo A1 - Claus, Thorsten A1 - Herrmann, Frank ED - Grothe, Oliver ED - Nickel, Stefan ED - Rebennack, Steffen ED - Stein, Oliver T1 - Addressing Energy Consumption and Energy-related Emissions by Single Machine Scheduling T2 - Operations Research Proceedings 2022, Abstracts of the Annual International Conference of the German Operations Research Society (Gor): Karlsruhe, Germany, September 6-9, 2022 Y1 - 2022 ER - TY - CHAP A1 - Terbrack, Hajo A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Emission reduction through production scheduling by priority rules and energy onsite generation T2 - Proceedings of the 36th ECMS International Conference on Modelling and Simulation (ECMS 2022), May 30th - June 3rd, 2022, Ålesund, Norway N2 - This article describes primary findings of various simulation runs on job shop scheduling dealing with energy consumption and emission pollution. By two combinations of priority rules, production is linked to the generation output of a renewable energy source installed onsite. The resulting schedules show a reduction of energy-related emissions and makespan compared to several conventional priority rules often used in industrial practice. KW - Sustainable Production Planning KW - Energy-related Emissions KW - Job Shop Scheduling KW - Simulation Y1 - 2022 SN - 978-3-937436-77-7 U6 - https://doi.org/10.7148/2022-0114 SN - 2522-2414 SP - 114 EP - 120 PB - ECMS ER - TY - CHAP A1 - Dilefeld, Maximilian A1 - Claus, Thorsten A1 - Teich, Enrico T1 - Robot Task Assignment In Dynamic Factory Environments T2 - Proceedings of the 38th ECMS International Conference on Modeling and Simulation (ECMS 2024): June 4th - June 7th, 2024, Cracow, Poland N2 - Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) are being applied more and more frequently in a wide range of use cases. Following the general trend of decentralisation of control structure in the Industry 4.0 paradigm, this paper analyses the application of auction algorithms to solve the robot task assignment problem. We focus on the use of mobile robots in production environments with a high level of uncertainty which places hight demand on the flexibility of the online scheduling architecture. A sequential single-item (SSI) auction algorithm is validated for a real-world use case where multiple mobile robots supply car bodies to manual rework stations in a paint shop application using simulation. The optimization objective of such an algorithm is discussed in regards to the examined use case. KW - Mobile Robots KW - Auction KW - Simulation Y1 - 2024 SN - 978-3-937436-84-5 U6 - https://doi.org/10.7148/2024-0338 SN - 2522-2422 SP - 338 EP - 344 PB - ECMS ER - TY - CHAP A1 - Dai, Chenghao A1 - Schön, Maximilian A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Multi-Site Aggregate Production Planning With Resilience Consideration T2 - Proceedings of the 38th ECMS International Conference on Modeling and Simulation (ECMS 2024): June 4th - June 7th, 2024, Cracow, Poland N2 - The recent years have shown a high frequency of disruptions like natural disasters or manmade disruptions, leading, for example, to transport routes or production facilities being unavailable for extended periods. Many manufacturing companies, which nowadays operate in a global production network, are heavily exposed to these disruptions. This results in both significant costs and substantial exceeding of promised deadlines. If it concerns the first company in a supply chain, it causes correspondingly significant delays in promised deadlines for subsequent companies in the supply chain, including a correspondingly significant increase in costs. Both are exemplified in this paper through a case study. This case study demonstrates that through resilience, both implications can be significantly reduced. KW - Production Planning and Control KW - Aggregate Production Planning KW - Linear Programming KW - Multi-Site Production Planning and Control KW - Supply Chain Resilience Y1 - 2024 SN - 978-3-937436-84-5 U6 - https://doi.org/10.7148/2024-0345 SN - 2522-2422 SP - 345 EP - 351 PB - ECMS ER - TY - JOUR A1 - Trost, Marco A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Master Production Scheduling with Consideration of Utilization-Dependent Exhaustion and Capacity Load JF - Sustainability N2 - A large number of researchers have addressed social aspects in hierarchical production planning. This article responds to research gaps identified in our previous literature review. Accordingly, consideration of social aspects and the economic implications of social improvements are required in a longer term planning approach. For this, we integrate work intensity as employee utilization in a general mixed-integer programming model for master production scheduling. Following existing fatigue functions, we represent the relationship between work intensity and exhaustion through an employee-utilization-dependent exhaustion function. We account for the economic implications through exhaustion-dependent capacity load factors. We solve our model with a CPLEX standard solver and analyze a case study based on a realistic production system and numerical data. We demonstrate that the consideration of economic implications is necessary to evaluate social improvements. Otherwise, monetary disadvantages are overestimated, and social improvements are, thus, negatively affected. Moreover, from a certain level of work-intensity reduction, demand peaks are smoothed more by pre-production, which requires more core employees, while temporary employment is reduced. Further potential may arise from considering and quantifying other interdependencies, such as employee exhaustion and employee days off. In addition, the relationship between social working conditions and employee turnover can be integrated. KW - capacity load KW - employee utilization KW - exhaustion KW - linear optimization KW - master productionscheduling KW - ocial aspects Y1 - 2023 U6 - https://doi.org/10.3390/su15086816 VL - 15 PB - MDPI ER -