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 - TY - CHAP A1 - Herrmann, Frank ED - Herrmann, Frank T1 - Performance of Storage Strategies in a Highbay Warehouse T2 - SIMUL 2022, the 14th International Conference on Advances in System Simulation: October 16-20, 2022, Lisbon, Portugal N2 - Storage and retrieval times of goods in inventory processes determine the efficiency of highbay warehouses in companies. These times are highly dependent on the performance of rack feeders. Storage strategies have the greatest influence. The paper shows the impact of an efficient control of rack feeders through storage strategies. Storage strategies which are typically used in industrial inventory processes are analysed. For the analysis a simulation system is implemented, so that the real process times are similar to the simulated ones. This results in recommendations for the use of storage strategies in companies. KW - highbay warehouse KW - storage strategies KW - simulation of storages and retrievals of goods KW - Inventory processes Y1 - 2022 UR - https://www.thinkmind.org/index.php?view=article&articleid=simul_2022_1_120_58002 SN - 2308-4537 SP - 69 EP - 73 PB - IARIA ER -