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 - BOOK A1 - Herrmann, Frank T1 - Lineare Optimierung unter Unsicherheit BT - eine Einführung N2 - Modellierungsalternativen werden mathematisch exakt formuliert; Stärken und Schwächen der derzeit eingesetzten Modellierungstechniken werden demonstriert; Leicht nachrechenbare Fallstudien Y1 - 2022 SN - 978-3-658-34580-8 U6 - https://doi.org/10.1007/978-3-658-34581-5 PB - Springer Fachmedien CY - Wiesbaden ER - TY - JOUR A1 - Davendra, Donald A1 - Herrmann, Frank A1 - Bialic-Davendra, Magdalena T1 - Chaotic Flower Pollination Algorithm for scheduling tardiness-constrained flow shop with simultaneously loaded stations JF - Neural computing & applications N2 - This paper introduces a novel chaotic flower pollination algorithm (CFPA) to solve a tardiness-constrained flow-shop scheduling problem with simultaneously loaded stations. This industrial manufacturing problem is modeled from a filter basket production line in Germany and has been generally solved using standard deterministic algorithms. This research develops a metaheuristic approach based on the highly efficient flower pollination algorithm coupled with different chaos maps for stochasticity. The objective function targeted is the tardiness constraint of the due dates. Fifteen different experiments with thirty scenarios are generated to mimic industrial conditions. The results are compared with the genetic algorithm and with the four standard benchmark priority rule-based deterministic algorithms of First In First Out, Raghu and Rajendran, Shortest Processing Time and Slack. From the obtained results and analysis of the relative difference, percentage relative difference and t tests, CFPA was found to be significantly better performing than the deterministic heuristics and the GA algorithm. KW - Flower pollination algorithm KW - Chaos maps KW - Flow shop with tardiness Y1 - 2022 U6 - https://doi.org/10.1007/s00521-022-08044-0 PB - Springer Nature ER - TY - JOUR A1 - Herrmann, Frank A1 - Engl, Fabian A1 - Trubjansky, Philipp T1 - Ein funktionaler Vergleich der SAP Analytics Cloud und Microsoft Power BI zur Verwendung im Bereich People Analytics bei Vitesco Technologies JF - Anwendungen und Konzepte der Wirtschaftsinformatik N2 - Aufgrund leistungsbedingter Einschränkungen durch die aktuelle Business-Intelligence-Software PowerBI vergleicht die People-Analytics-Abteilung von Vitesco Technologies diese mit der Alternativsoftware SAP Analytics Cloud. Dafür wurden zunächst aktuelle Herausforderungen im People-Analytics-Umfeld identifiziert und basierend darauf Vergleichskriterien erarbeitet. Als Vergleichsmodell kommt das Kano-Modell zum Einsatz. Die durchgeführte Evaluation favorisiert aus funktionaler Sicht einen Umstieg auf die SAP Analytics Cloud, identifiziert allerdings eine Reihe an Herausforderungen, die einen sofortigen Wechsel einschränken. Zu diesen gehören sowohl die Verfügbarkeit als auch die Qualität der HR-Daten. KW - Business Intelligence KW - SAP Analytics Cloud KW - SAC KW - Power BI KW - Cloud Computing KW - Kano-Modell KW - Vergleich KW - People Analytics KW - HR Y1 - 2022 U6 - https://doi.org/10.26034/lu.akwi.2022.3337 SN - 2296-4592 IS - 15 SP - 8 EP - 21 PB - Hochschule Luzern ER - TY - JOUR A1 - Herrmann, Frank A1 - Ruf, Elena A1 - Dittert, Oliver T1 - Robotic Process Automation als Enabler der Digitalen Transformation der OSRAM Continental GmbH JF - Anwendungen und Konzepte der Wirtschaftsinformatik N2 - Der vorliegende Artikel befasst sich mit der Automa-tisierung von Unternehmensprozessen mit Hilfe von Robotic Process Automation (RPA). Um die zentrale Frage nach den Potentialen von RPA zu beantworten, wurde gemeinsam mit der OSRAM Continental GmbH eine Fallstudie in der Einkaufsabteilung durchgeführt. In dieser Fallstudie werden die Fähigkeiten von Attended RPA sowie die Unterschiede im Vergleich zu einem bereits im Unternehmen beste-henden Workflow-Automation-Systems untersucht. Die Automatisierung hat gezeigt, dass mittels RPA das Automatisierungspotential eindeutig erweitert werden kann. Jedoch wurden ebenso deutlich, dass die Technologie auf bestimmte Aufgaben begrenzt ist und daher ein hybrider Automatisierungsansatz mit beiden Technologien die vielversprechendste Lösung darstellt. Y1 - 2022 U6 - https://doi.org/10.26034/lu.akwi.2022.3329 SN - 2296-4592 IS - 15 SP - 44 EP - 56 PB - Hochschule Luzern ER - TY - JOUR A1 - Englberger, Julian A1 - Herrmann, Frank A1 - Manitz, Michael T1 - Master production scheduling with scenario-based capacity-load factors in a rolling planning environment JF - Logistics Research, Special Issue “Supply Chain Analytics in the 2020s” N2 - This paper proposes two stochastic programming models for master production scheduling with capacity-load factor scenarios. In contrast to other work on production planning with load-dependent lead times or dynamic capacity loads, we iteratively build a set of realistic capacity-load factor scenarios by simulating the realization of the master production schedules in a rolling horizon environment. Therefore, we integrate the models into a hierarchical production planning and control system that is common in industrial practice and measure the effective capacity-load factors. With these factors, we resolve the master production scheduling problem. Toa evaluate the performance of the proposed models, we compare the stochastic models with the common approach to reduce the nominally available capacity for master production scheduling. In our experiments, the stochastic models significantly reduce the tardiness of production orders caused by capacity bottlenecks. Y1 - 2022 U6 - https://doi.org/10.23773/2022_12 VL - 15 SP - 1 EP - 16 PB - Bundesvereinigung Logistik (BVL) e.V. CY - Bremen ER -