TY - CHAP A1 - Trost, Marco A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Adapted Master Production Scheduling: Analysis on the impact of relevant social performance indicators from the GRI standard T2 - Proceedings of the International Annual Conference of the German Operations Research Society 2019 (OR 2019) Dresden, September 3 - 6, 2019 N2 - The sustainable development of processes is currently an important topic in industry and science. Various interest groups and other factors like resource shortages or a lack of skilled workers drive this trend. In the area of Production and Operation Management, the integration of sustainable aspects is also becoming more and more important. However, mainly ecological aspects are considered. Thus, this contribution expands the previous research by the integration of social aspects. For this, we limit our research to the Master Production Scheduling as part of operational production planning. In the context of sustainability, the Global Reporting Initiative (GRI) Standard has established itself for companies and other organisations to report on their sustainability activities. It is the first and most widely adopted global standards for sustainability reporting. The aim of this standard is to measure the sustainable performance and in this way, sustainability activities can be oriented to specific performance indicators. Accordingly, the GRI standard enables concrete initiatives to improve social, environmental and economic conditions for everyone. The modular standard comprises 36 standard modules. For this paper, the 19 social modules were analysed and relevant indicators that could be influenced by the Master Production Scheduling were identified. One of the important indicators from the GRI standard for our research question is the use of employees, measured in terms of hiring and employee turnover. The long-term employee commitment and thus low fluctuation will become a competitive advantage in the future, which is enhanced by the demographic change and the lack of skilled workers. In order to integrate these aspects based on the GRI standard, the classic formulation of Master Production Scheduling is extended. For this a control of the employee utilization within concrete utilization intervals as well as dependent processing times due to different exhaustion effects were integrated. Additionally, in order to take into account the requirements of a flexible production and to model the use of employees, aspects of personnel requirements planning are considered as well, which enable the build-up and reduction of capacity. As a result, social and economic consequences of related production scenarios are presented. In this context, a conflict of targets arises especially with macroeconomic fluctuations. On the one hand, shortages and inventories should be avoided from an economic point of view. On the other hand, a low and constant work intensity as well as a constant number of staff should be preferred for long-term employee commitment. Accordingly, the ability of the model to examine these questions, which will become more and more important for industrial enterprises in the future, becomes clear. Furthermore, it can be seen that it is possible to improve social aspects by adapted production planning without neglecting economic targets. KW - Produktionsplanung KW - Ablaufplanung KW - Soziale Verantwortung KW - Global Reporting Initiative KW - Sustainable Development KW - Capacity Planning KW - Linear Programming Y1 - 2019 ER - TY - CHAP A1 - Manitz, Michael A1 - Herrmann, Frank A1 - Munninger, Maximilian T1 - Considering sequence-dependent stochasticity in production schedules T2 - Proceedings of the International Annual Conference of the German Operations Research Society 2017 (OR 2017), Berlin, September 6 - 8, 2017 KW - Produktionsplanung KW - Ablaufplanung KW - Reihenfolgeproblem KW - Stochastischer Prozess Y1 - 2017 ER - TY - CHAP A1 - Terbrack, Hajo A1 - Herrmann, Frank A1 - Claus, Thorsten T1 - Determining an optimal energy demand range within master production scheduling T2 - Proceedings of the International Annual Conference of the German Operations Research Society 2019 (OR 2019) Dresden, September 3 - 6, 2019 KW - Produktionsplanung KW - Ablaufplanung KW - Energiebedarf Y1 - 2019 ER - TY - CHAP A1 - Englberger, Julian A1 - Herrmann, Frank T1 - Estimating Capacity Load Factors in Master Production Scheduling by the use of Stochastic Optimization T2 - Tagungsband zu der Tagung Logistikmanagement 2013, 10. - 13. Oktober 2013, Bremen, Deutschland KW - Produktionsplanung KW - Ablaufplanung KW - Kapazitätsplanung KW - Stochastische Optimierung Y1 - 2013 ER - TY - CHAP A1 - Herrmann, Frank T1 - Genetic algorithm with simulation for scheduling of a flow shop with simultaneously loaded stations T2 - Proceedings of the 28th EUROPEAN Conference on Modeling and Simulation, May 27th - 30th, 2014, Brescia, Italy N2 - In this study, a real world flow shop with a transportation restriction is regarded. This restriction reduces the set of feasible schedules even more than the no-buffer restrictions discussed in the literature in the case of limited storage. Still this problem is NP-hard. Since this scheduling problem is integrated in the usual hierarchical planning, the tardiness is minimised. Compared to even specific priority rule for this class of problems the suggested genetic algorithm delivers significant better results. The specific structure of this class of problems complicates the calculation of the performance criteria. This is solved by a simulation algorithm. Proceedings 28th European Conference on Modelling and Simulation. KW - Ablaufplanung KW - Hierarchische Produktionsplanung KW - Flow-shop-Problem KW - Reihenfolgeproblem KW - Genetischer Algorithmus KW - simulation of restrictions KW - scheduling KW - flow-shop KW - no-buffer (blocking) KW - no-wait KW - genetic algorithm KW - real world application Y1 - 2014 UR - http://www.scs-europe.net/dlib/2014/ecms14papers/simo_ECMS2014_0076.pdf ER - TY - CHAP A1 - Trost, Marco A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Master production scheduling with consideration of social aspects for networking with human resources requirements planning T2 - Proceedings of the International Annual Conference of the German Operations Research Society 2018 (OR 2018), Brüssel, September 12 - 14, 2018 N2 - A large number of current research focuses on the sustainable orientation of business processes. However, it is often neglected that, next to the ecological and economic dimension, the social dimension is also an important pillar of sustainability. Therefore, the intended contribution focuses on the integration of social aspects into the Master Production Scheduling and thus achieves a network between production planning and human resources requirements planning. The study shows that previous papers on production planning and control usually ignore the social dimension. Exceptions are works that take advantage of learning and forgetting effects at the lot-sizing and scheduling. In addition, there are various papers in the scheduling area which aim to reduce employee workload by optimizing resource allocation. Thus, however, only an optimal distribution of burden is achieved. Therefore, this paper presents a long-term management of the burden. To this end, the classic Master Production Scheduling, which has been statically limited in terms of capacity, whereby additional capacities have been used, will be expanded. At the same time, human resources requirements planning is based on assumptions regarding the expected capacity requirements. The created linear optimization model, addresses these weak points. A flexible available capacity is integrated on the basis of existing sales orders. It is making possible, to build up and reduce capacities, whereby technical restrictions (number of workplaces) and labor market conditions (number of available employees, qualification of employees and experience of employees) are also mapped. This represents a significant progress compared to previous models, whereby the target function minimizes costs. Further progress has been made in investigating the effects of exhaustion. The ratio of capacity requirements to available capacity was controlled externally as employee utilization and processing times dependent on the employee's utilization were taken into account. Subsequently, different utilization situations were examined under the assumption of different exhaustion and random demand patterns with the aim of determining an optimal employee utilization. A key finding of this study is that - contrary to common assumptions - achieving cost benefits is not necessarily associated with maximizing utilization, but rather with controlling employee utilization. An additional effect results from the reduction of the employee burden. However, the flexible capacity available does not limit the performance of the production system. In addition, we are currently working on the investigation of effects in a long-term planning horizon and of consequences for the downstream planning levels of production planning and control. Overall, the contribution presents an innovative research project that aims to integrate social aspects into production planning in order to make a contribution to truly sustainable models in the future. KW - Produktionsplanung KW - Ablaufplanung KW - Soziale Verantwortung Y1 - 2018 ER - TY - CHAP A1 - Herrmann, Frank T1 - Perturbation in Local Search for Scheduling T2 - Proceedings of the 29th EUROPEAN Conference on Modeling and Simulation, May 26th - 29th, 2015, Albena, Bulgaria N2 - Local search is an established meta heuristic for scheduling problems. To avoid of getting stucked in a local optimum, the achieved solution is destroyed. Usually, this is done randomly. Here, two problem specific procedures are suggested. One focuses on jobs with the highest difference between the actual processing time and the net processing time of the job and the other one tries to remove jobs which causes the highest idle time for themselves or other jobs. Comprehensive simulations of test scheduling problems as well as a real world application show that both problem specific procedures outperform a random procedure. KW - Ablaufplanung KW - Lokales Suchverfahren KW - Local search KW - Perturbation KW - Scheduling KW - Flow shop KW - Flow-shop-Problem Y1 - 2015 U6 - https://doi.org/10.7148/2015-0446 ER - TY - CHAP A1 - Herrmann, Frank T1 - Scheduling in case of a Partially Automated Production T2 - Proceedings of the International Annual Conference of the German Operations Research Society 2016 (OR 2016), Hamburg, 30.8. - 4.9.2016 N2 - In recent years, a considerable amount of interest has arisen for scheduling problems with technological restrictions. For example, no-buffer flow-shop scheduling problem are well investigated. Here a real world flow shop with a transportation restriction is regarded. It has to produce small batches, very often with a lot size of one, with short response times. Thus, scheduling algorithms are needed to ensure that under the constraint of a high average load of the flow shop, the duedates of the production orders are met. This transportation restriction reduces the set of feasible schedules even more than the nobuffer restrictions discussed in the literature in the case of limited storage. Still this problem is NP-hard. Due to the transportation restriction, the duration of a job A on the flow-shop depends on the other jobs processedon the flow-shop in the same time frame which is called a cycle. Realistic processing times are achieved by a simulation of the scheduling of A which includes the next jobs until A has left the flow-shop. The usage of such realistic processing times instead of net processing times improves the priority rules by around 16%. There are pools of jobs where a large variance of the cycle times is beneficial and pools of jobs where a small variance is better. This is partially detected by agenetic algorithm. This improves the performance by another 34%. KW - Produktionsplanung KW - Ablaufplanung Y1 - 2016 ER - TY - CHAP A1 - Davendra, Donald A1 - Herrmann, Frank A1 - Bialic-Davendra, Magdalena T1 - Scheduling tardiness constrained flow shop with simultaneously loaded stations using Genetic Algorithm T2 - Proceedings of the 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2020): Thimphu, Kingdom of Bhutan during March 21-22, 2020 N2 - In this study, a real world flow shop with a transportation restriction is regarded. This restriction reduces the set of feasible schedules even more than the no-buffer restrictions discussed in the literature in the case of limited storage. Still this problem is NP-hard. Since this scheduling problem is integrated in the usual hierarchical planning, the tardiness is minimised. Compared to even specific priority rule for this class of problems the suggested genetic algorithm delivers significant better results. The specific structure of this class of problems complicates the calculation of the performance criteria. This is solved by a simulation algorithm. KW - simulation of restrictions KW - scheduling, KW - flow-shop KW - no-buffer (blocking) KW - no-wait KW - genetic algorithm KW - real world application KW - Ablaufplanung KW - Hierarchische Produktionsplanung KW - Flow-shop-Problem KW - Reihenfolgeproblem KW - Genetischer Algorithmus Y1 - 2020 U6 - https://doi.org/10.1145/3396474.3396475 PB - ACM ER -