TY - JOUR A1 - Stumvoll (später: Plach), Ulrike A1 - Claus, Thorsten T1 - Challenges while Updating Planning Parameters of an ERP System and How a Simulation-Based Support System Can Support Material Planners JF - Systems N2 - In an Enterprise Resource Planning (ERP) system, production planning is influenced by a variety of parameters. Previous investigations show that setting parameter values is highly relevant to a company’s target system. Parameter settings should be checked and adjusted, e.g., after a change in environmental factors, by material planners. In practice, updating the parameters is difficult due to several reasons. This paper presents a simulation-based decision support system, which helps material planners in all stages of decision-making processes. It will present the system prototype’s user interface and the results of applying the system to a case study. Y1 - 2016 U6 - https://doi.org/10.3390/systems4010010 VL - 4 IS - 1 PB - MDPI CY - Basel ER - TY - CHAP A1 - Trost, Marco A1 - Terbrack, Hajo A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Established production planning and control and its enhancement with sustainability T2 - Proceedings of the 37th ECMS International Conference on Modeling and Simulation (ECMS 2023): June 20th - June 23rd, 2023, Florence, Italy N2 - Against the background of the energy crisis, shortage of skilled workers, demographic change and other drivers, sustainable development is also becoming increasingly important for industrial companies. In this respect, production planning and control has an enormous influence on relevant objectives. In classical approaches of production planning and control as presented in this paper, economic-oriented objectives are taken into account to a large extent in decision making. This paper demonstrates that besides these classical models, a variety of approaches exist to influence ecological and social targets through production planning. These different models are assigned to sustainability areas and outlined by exemplary literature sources. Further research is needed, for instance, in the joint consideration of sustainability criteria along different planning levels and sustainable dimensions. KW - Sustainability KW - Social KW - Ecological KW - Hierarchical Production Planning Y1 - 2023 SN - 978-3-937436-80-7 U6 - https://doi.org/10.7148/2023-0320 SN - 2522-2422 SP - 320 EP - 327 PB - ECMS ER - TY - JOUR A1 - Trost, Marco A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Social Sustainability in Production Planning: A Systematic Literature Review JF - Sustainability N2 - Sustainable production includes economic, environmental, and social aspects. However, social sustainability has received less attention, especially compared to the economic aspects. Next to technical and organizational measures, social improvements within supply chains can also be achieved through suitable production planning. Within production planning, production programs are determined, and the assignment of available resources (e.g., employees) is specified. Thus, the utilization and workload of employees are defined. This systematic literature review investigates to what extent such employee-related social aspects are reflected in production planning and discusses whether economic aspects dominate them. For this, a Scopus database search was carried out and 76 identified approaches were analyzed and categorized regarding the occurring employee-related social aspects and their implementation. Thus far, the approaches mainly consider single aspects on single planning levels. A consideration of a broad set of aspects along the entire production planning has rarely been studied. In particular, health and safety aspects are considered on the levels of assembly line balancing and job rotation. However, their impact is primarily determined by the specific settings of the decision-maker. To support decision-makers, only a few studies have investigated the effects based on real application scenarios. Further potential might be an extended modeling of social and economic interdependencies and a consideration of employee-related social aspects in medium- to long-term production planning. KW - ASSEMBLY-LINE KW - employee KW - ERGONOMIC RISKS KW - FATIGUE KW - FLOWSHOP SCHEDULING PROBLEM KW - JOB ROTATION SCHEDULES KW - LINE BALANCING PROBLEM KW - literature review KW - MODEL KW - MUSCULOSKELETAL DISORDERS KW - production planning KW - social sustainability KW - SUPPLY CHAIN KW - WORKER ASSIGNMENT Y1 - 2022 U6 - https://doi.org/10.3390/su14138198 VL - 14 IS - 13 SP - 1 EP - 31 PB - MDPI CY - Basel ER - 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 -