@techreport{JeglinskyWinkler, author = {Jeglinsky, Vinzenz and Winkler, Herwig}, title = {Untersuchung von Hindernissen zur Digitalisierung in der industriellen Produktion}, publisher = {Brandenburgische Technische Universit{\"a}t, IKMZ, Universit{\"a}tsbibliothek}, address = {Cottbus ; Senftenberg}, doi = {10.26127/BTUOpen-5158}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-51588}, pages = {138}, language = {de} } @misc{BartschWinkler, author = {Bartsch, Devis and Winkler, Herwig}, title = {Blockchain technology in Germany: an excerpt of real use cases in logistics industry}, series = {Data Science and Innovation in Supply Chain Management : How Data Transforms the Value Chain}, journal = {Data Science and Innovation in Supply Chain Management : How Data Transforms the Value Chain}, editor = {Kersten, Wolfgang and Blecker, Thorsten and Ringle, Christian M.}, publisher = {epubli}, address = {Berlin}, isbn = {978-3-753123-46-2}, issn = {2365-5070}, doi = {10.15480/882.3111}, pages = {699 -- 735}, abstract = {Purpose: Due to the large number of intermediaries in logistics networks there is avariety of possible failures, frictions and waste of time and money among the logisticsprocess chain. With the ability to provide data securely in near real-time, liketrack and tracing data of goods to every participant, the Blockchain-Technology(BCT) can help to solve these problems. Methodology: A structured literature analysis has been executed by using the databasesWeb of Science and Science Direct to find out current intermediary´s functionsand real use cases. In addition, available other sources, like manufacturer websites,blog entries or whitepapers are searched for specific blockchain-based applicationsinvented and used by German companies. The identified use cases are then qualitativelyanalyzed. Findings: The first results showed that most of the business cases are still in the conceptphase or are merely ideas how the BCT could solve existing problems. Additionally,we got results on the distribution of applications and economic benefits alongthe logistics chain. Furthermore, important conclusions on implementation problemscan be derived from this. Originality: In order to maintain Germany´s top economic position, it is necessaryto push ahead with the adaption of the BCT. Our analysis contains first results in thearea of real blockchain use cases of German companies. Initial comparisons betweencurrently used and blockchain-based logistics networks are also possible.}, language = {en} } @misc{StockmannWinkler, author = {Stockmann, Christian and Winkler, Herwig}, title = {Bedeutung der Robustheit von Produktionssystemen}, series = {ZWF}, volume = {116}, journal = {ZWF}, number = {3}, issn = {0947-0085}, doi = {10.1515/zwf-2021-0028}, pages = {144 -- 148}, language = {de} } @misc{BerneisBartschWinkler, author = {Berneis, Moritz and Bartsch, Devis and Winkler, Herwig}, title = {Applications of Blockchain Technology in Logistics and Supply Chain Management—Insights from a Systematic Literature Review}, series = {Logistics}, volume = {5}, journal = {Logistics}, number = {3}, issn = {2305-6290}, doi = {10.3390/logistics5030043}, pages = {15}, language = {en} } @techreport{StockmannWinkler, author = {Stockmann, Christian and Winkler, Herwig}, title = {Robustheit in Produktionssystemen aus Sicht der industriellen Praxis}, publisher = {Brandenburgische Technische Universit{\"a}t, IKMZ, Universit{\"a}tsbibliothek}, address = {Cottbus ; Senftenberg}, doi = {10.26127/BTUOpen-5241}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-52414}, pages = {59}, language = {de} } @misc{BerneisWinkler, author = {Berneis, Moritz and Winkler, Herwig}, title = {Value Proposition Assessment of Blockchain Technology for Luxury, Food, and Healthcare Supply Chains}, series = {Logistics}, volume = {5}, journal = {Logistics}, number = {4}, issn = {2305-6290}, doi = {10.3390/logistics5040085}, pages = {1 -- 18}, abstract = {Background: In relevant research, blockchain technology (BCT) is credited with great potential for supply chain management (SCM). However, even after more than 10 years of the technology's existence, it is barely used for any self-sustaining applications. This raises the question of why BC cannot prevail against its alternatives. With this paper we want to identify criteria by which the added value of BCT can be measured. Furthermore, we want to evaluate how well the different supply chains (SC) exploit the added values of BCT. Methods: For this, we identified real-world examples and case studies for luxury, food, and healthcare SCs. These examples are described in detail and then analyzed for their added value compared to possible alternatives. Results: The results show that in the clusters of food and healthcare SCs, no general added value of BC over current best-practice solutions could be verified. Luxury SCs manage valuable products that are typically traded in small quantities. It is within this cluster that the implementation of BC can be justified best. Conclusions: In conclusion, this study shows that the application of BCT is especially beneficial for goods with a high value and low trade volume. In addition, the interface between reality and the digital twin should be as secure as the database or BC solution itself. Furthermore, the demand for transparency and immutability of data should be more important than the need to protect sensitive data. Finally, SC participants, especially the end customer, must also be able to appreciate the advantages of BCT.}, language = {en} } @misc{BerneisWinkler, author = {Berneis, Moritz and Winkler, Herwig}, title = {Fallstudie zur Fabrikplanung im Greenfield}, series = {WiSt Wirtschaftswissenschaftliches Studium}, volume = {51}, journal = {WiSt Wirtschaftswissenschaftliches Studium}, number = {1}, issn = {0340-1650}, pages = {58 -- 63}, language = {de} } @misc{KuteyiWinkler, author = {Kuteyi, Damilola and Winkler, Herwig}, title = {Logistics Challenges in Sub-Saharan Africa and Opportunities for Digitalization}, series = {Sustainability}, volume = {14}, journal = {Sustainability}, number = {4}, issn = {2071-1050}, doi = {10.3390/su14042399}, pages = {18}, abstract = {Improvements in logistics performance are considered to be a significant driver of economic growth. Digitalization in logistics, which includes enhanced tracking systems, digitized flows of information, artificial intelligence and automation, has further enabled globalized trade. However, Sub-Saharan African (SSA) economies, majorly export-commodity-dependent, still lag behind, grappling with inadequate policy frameworks, huge infrastructure deficits and trade barriers which result in a broken supply chain that negatively impacts growth. This study aims to investigate existing challenges in Sub-Saharan Africa, the potentials for the region to leapfrog traditional supply chain practices and adopt digital technologies, by evaluating previous findings in a systematic manner and augmenting these findings through semi-structured interviews. Systematic literature analysis conducted on published academic literature within a specific period and based on predefined criteria resulted in 287 articles being used for the final analysis. The most common logistics challenges and potential solutions have been identified. Semi-structured interviews with logistics service providers in the region have been conducted to establish the findings highlighted in the systematic literature review. The interviews showed that human capital training is a major factor when adopting digital technologies, and a focus on infrastructure investments, regulatory and institutional framework improvements will boost economic growth in Sub-Saharan Africa.}, language = {en} } @misc{StockmannWinkler, author = {Stockmann, Christian and Winkler, Herwig}, title = {Robustness of production systems: Evidence from the German manufacturing industry}, series = {Journal of Engineering and Technology Management}, volume = {Vol. 63}, journal = {Journal of Engineering and Technology Management}, issn = {0923-4748}, doi = {10.1016/j.jengtecman.2022.101672}, pages = {14}, language = {en} } @incollection{JeglinskyWinkler, author = {Jeglinsky, Vinzenz and Winkler, Herwig}, title = {Improved decisions for digitalization projects in digital business ecosystems}, series = {Handbook on Digital Business Ecosystems. Strategies, Platforms, Technologies, Governance and Societal Challenges}, booktitle = {Handbook on Digital Business Ecosystems. Strategies, Platforms, Technologies, Governance and Societal Challenges}, editor = {Baumann, Sabine}, publisher = {Edward Elgar Publishing Ltd (Verlag)}, address = {Chaltenham}, isbn = {978-1-83910-719-1}, doi = {10.4337/9781839107191.00028}, pages = {307 -- 326}, language = {en} } @incollection{WinklerMielke, author = {Winkler, Herwig and Mielke, Jonas}, title = {Adaptive Assistenzsysteme zur Entscheidungsunterst{\"u}tzung im Produktionsumfeld}, series = {Handbuch Digitalisierung}, booktitle = {Handbuch Digitalisierung}, editor = {Roth, Stefan and Corsten, Hans}, publisher = {Vahlen}, address = {M{\"u}nchen}, isbn = {978-3-8006-6562-4}, pages = {651 -- 672}, language = {de} } @misc{BerneisWinkler, author = {Berneis, Moritz and Winkler, Herwig}, title = {Fallstudie zur Fabrikplanung im Greenfield. Teil 2: L{\"o}sungshinweise}, series = {WiSt Wirtschaftswissenschaftliches Studium}, volume = {51}, journal = {WiSt Wirtschaftswissenschaftliches Studium}, number = {2-3}, issn = {0340-1650}, doi = {10.15358/0340-1650-2022-2-3-63}, pages = {63 -- 71}, language = {de} } @misc{KuepperRoeschWinkler, author = {K{\"u}pper, Christoph and R{\"o}sch, Janina J. and Winkler, Herwig}, title = {Empirical findings for the usage of 5G as a basis for real time locating systems (RTLS) in the automotive industry}, series = {Procedia CIRP}, volume = {107}, journal = {Procedia CIRP}, issn = {2212-8271}, doi = {10.1016/j.procir.2022.05.146}, pages = {1287 -- 1292}, language = {en} } @misc{HayatWinkler, author = {Hayat, Mubashir and Winkler, Herwig}, title = {From Traditional Product Lifecycle Management Systems to Blockchain-Based Platforms}, series = {Logistics}, volume = {6}, journal = {Logistics}, number = {3}, issn = {2305-6290}, doi = {10.3390/logistics6030040}, abstract = {Abstract: Background: Several product lifecycle management systems (PLMs) have been implemented in the industrial sector for managing the data of the product from the design up to the disposal or recycling stage. However, these PLMs face certain challenges in managing the complex and decentralized product lifecycles. Methods: To this aim, this work investigates the currently implemented PLMs used in industries through the exploration of various software reviews and selection websites. Accordingly, these existing PLMs are quantitatively compared and analyzed. Results: The analysis shows that most of the existing PLMs do not contain all the required features; therefore, industries integrate different software to create a full-fledged PLM system. However, this practice results in reducing the overall system efficiency. In this context, this paper assesses and recommends a blockchain-based innovative solution that overcomes the challenges of existing PLMs, hence increasing the overall system efficiency. Furthermore, this work argues, in a logical way, that the recommended blockchain-based platform provides a secure and connected infrastructure for data handling, processing, and storage at different stages of the product lifecycle. Conclusions: This work can be considered among the first to compare the currently implemented PLMs with a novel blockchainbased method. Thus, the stakeholders can utilize the outputs of this research in their analysis and decision-making processes for implementing the blockchain in their organizations.}, language = {en} } @misc{MielkeWinkler, author = {Mielke, Jonas and Winkler, Herwig}, title = {Machine-Learning-Ansatz zur Produktionsauftragsplanung}, series = {Zeitschrift f{\"u}r wirtschaftlichen Fabrikbetrieb}, volume = {117}, journal = {Zeitschrift f{\"u}r wirtschaftlichen Fabrikbetrieb}, number = {6}, issn = {0947-0085}, doi = {10.1515/zwf-2022-1077}, pages = {384 -- 389}, abstract = {Maschinelle Lernalgorithmen sind leistungsstarke Werkzeuge, um Muster und Wechselwirkungen in Datenstrukturen zu erkennen. Diese F{\"a}higkeiten werden im Rahmen dieses Beitrags zur Optimierung der Auftragsplanung eines Produktionssystems genutzt. Dabei wird ein praxisnahes Vorgehen zur schnellen Evaluierung neuer Auftragssituationen vorgestellt. Die Datengrundlage bildet dabei ein Simulationsmodell eines realen Produktionssystems.}, language = {de} } @misc{EberleinWinkler, author = {Eberlein, Simeon and Winkler, Herwig}, title = {Die Blockchain Technologie (BCT) zur Verbesserung von Transaktionsprozessen in der Logistik}, series = {Logistics Journal}, journal = {Logistics Journal}, issn = {1860-5923}, doi = {10.2195/lj_NotRev_eberlein_de_202205_01}, url = {http://nbn-resolving.de/urn:nbn:de:0009-14-55242}, pages = {1 -- 11}, abstract = {Blockchain-Technologie ist die Zukunft im Bereich sicherer Datenspeicherung und -nachverfolgung. Dabei wird diese Technologie schon lange nicht mehr nur bei Kryptow{\"a}hrungen eingesetzt. Viele Unternehmen arbeiten und entwickeln L{\"o}sungen, um mit der Blockchain-Technologie Prozessverbesserung in der Industrie zu realisieren. Vor allem Transaktionsprozesse in der Logistik k{\"o}nnen durch den Einsatz dieser Technologie optimiert werden. Demnach ist das Ziel dieses Artikels die Grundz{\"u}ge der Blockchain Technologie darzulegen und aufzuzeigen, wo die Blockchain bereits genutzt wird und wie dadurch Logistikprozesse verbessert werden. Der Fokus dieses Beitrags liegt auf Blockchain-Anwendungen, die sich bereits in der Industrie etabliert haben. Es wird analysiert, wie diese Systeme aufgebaut sind, wie sie in der Praxis eingesetzt werden und welchen Verbesserungen mit ihnen zu realisieren sind.}, language = {de} } @misc{HayatWinkler, author = {Hayat, Mubashir and Winkler, Herwig}, title = {An Analytic Hierarchy Process for Selection of Blockchain-Based Platform for Product Lifecycle Management}, series = {Sustainability}, volume = {14}, journal = {Sustainability}, number = {21}, issn = {2071-1050}, doi = {10.3390/su142113703}, pages = {1 -- 19}, abstract = {Blockchain technology has disrupted traditional business processes and hence gained significant attention and popularity in recent years. Consequently, a number of blockchain-based platforms are available today that offer vast applications across multiple sectors and industries. Implementing these blockchain-based platforms as an alternative to traditional product lifecycle management systems (PLMs) is one of the applications. However, before any platform is adopted, its nature, functionalities, and adaptability need to be clearly defined, evaluated, and verified. In this context, the proposed work explores the available blockchain-based platforms that can be used for the purpose of product lifecycle management. We then apply one of the multi-criteria decision-making techniques, i.e., the analytic hierarchy process (AHP), to select the best possible blockchain-based platform for PLM. As transaction speed, data privacy, and scalability are our prime concerns in PLM, we only considered the permissioned (private) blockchain platforms as available alternatives in the final selection process. Results achieved on the basis of considered criteria show that Hyperledger Fabric is the top-ranked among available alternatives to be used for PLM. Furthermore, as blockchain is a new technology, a clear comparison of the available platforms based on the performancebased metrics and key performance indicators is not completely matured and is still in the development stage. However, our proposed approach can be considered an attempt to create a procedure for evaluating blockchain-based platform implementation in any sector.}, language = {en} } @misc{BartschWinkler, author = {Bartsch, Devis and Winkler, Herwig}, title = {Smart Order as a new Instrument for Production Control}, series = {Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management : Innovative Approaches for the Shift to a New Era}, journal = {Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management : Innovative Approaches for the Shift to a New Era}, publisher = {epubli GmbH}, address = {Berlin}, isbn = {978-3-756541-95-9}, doi = {10.15480/882.4691}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:830-882.0200550}, pages = {149 -- 175}, language = {en} } @misc{KuepperRoeschWinkler, author = {K{\"u}pper, Christoph and R{\"o}sch, Janina J. and Winkler, Herwig}, title = {Use of real time localization systems (RTLS) in the automotive production and the prospects of 5G - A literature review}, series = {Journal for Production \& Manufacturing}, volume = {10}, journal = {Journal for Production \& Manufacturing}, number = {1}, issn = {2169-3277}, doi = {10.1080/21693277.2022.2144522}, pages = {840 -- 874}, abstract = {Numerous challenges in automotive production lead to an increased need for transparency and optimization. Real-Time-Location-Systems (RTLS) is a key tool for achieving this goal. They enable intelligent and automated production processes. Existing solutions such as Ultra-Wideband, Bluetooth-Low-Energy, or Radio-Frequency-Identification have drawbacks in costs, range, or accuracy. 5G is a newly developing standard, recently including high-accuracy positioning. It is unclear, however, if 5G positioning has reached industrial maturity. This contribution aims to determine the state-of-the-art of 5G positioning by performing a systematic literature review and comparing its findings to industrial positioning requirements. 143 articles were analyzed and categorized as: the fundamentals of radio-frequency positioning, an overview of existing solutions, the state-of-the-art, and the maturity of 5G as an industrial positioning system. Results show that, theoretically, centimeter-level accuracies are pursued. However, practical tests are rarely conducted. Concluding, 5G positioning shows great potential, but industrial pilots are required to validate the theoretical characteristics.}, language = {en} } @misc{HayatWinkler, author = {Hayat, Mubashir and Winkler, Herwig}, title = {Exploring the Basic Features and Challenges of Traditional Product Lifecycle Management Systems}, series = {2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)}, journal = {2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)}, isbn = {978-1-6654-8687-3}, doi = {10.1109/IEEM55944.2022.9989978}, pages = {0762 -- 0766}, abstract = {Product lifecycle management (PLM) is the strategic process of managing all the data of the product from the design up to its disposal or recycling stage. In product development, the PLM data is the key source for better decision-making at different stages of the product lifecycle. To this aim, several PLMs have been implemented in industrial sectors. Among these PLMs, each carries some common as well as certain distinct features and characteristics over its counterparts. However, due to the complex and decentralized nature of today's product lifecycles, all of the currently implemented PLMs face certain challenges. In this context, various software reviews and selection websites have been explored to investigate the core functionalities as well as the challenges associated with the currently implemented PLMs. Moreover, this study analyzed that most of the existing PLMs do not contain all the required features and therefore, industries usually integrate different software to make a full-fledged PLM system. However, this practice results in reducing the overall system efficiency. Therefore, this study emphasizes that it is the need of the day to adopt a novel technology i.e. blockchain to overcome the PLM challenges and its consequences in the production industries.}, language = {en} } @misc{SchmidWinkler, author = {Schmid, Stefan and Winkler, Herwig}, title = {Hybrid Production Management System in the Context of Industry 4.0}, series = {2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)}, journal = {2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)}, isbn = {978-1-6654-8687-3}, doi = {10.1109/IEEM55944.2022.9990000}, pages = {1573 -- 1577}, abstract = {In our contribution, we consider how the Digital Twin of the production system can be combined with Artificial Intelligence methods. The result of these considerations should be a hybrid production management system, which can be used for decision support as well as for self-control. On the one hand, the Digital Twin is providing information and simulation for the optimal decision-making to the decision support system (human interaction). On the other hand, Artificial Intelligence is taking over some elements and tasks with automatic control (independent of human interaction). If the result is out of tolerance or if a random sample of the result is audited, the decision support system is validating the Artificial Intelligence result for execution (by human interaction). The hybrid production management system is to be used to control production processes and generates learning effects. The extension by methods of Artificial Intelligence opens possibilities to process and to master certain tasks independently of human interaction. The presented approach should relieve and support decision makers in production. By performing various actions automatically and achieving partial auto-control, the reactivity of linked processes can increase. The provision of decisive information favors decision quality and time-effectiveness.}, language = {en} } @techreport{KoenigWinkler, author = {K{\"o}nig, Mathias and Winkler, Herwig}, title = {Digitalisierung in der Montage mit dem Schwerpunkt des Einsatzes von Assistenzsystemen}, publisher = {Brandenburgische Technische Universit{\"a}t, IKMZ, Universit{\"a}tsbibliothek}, address = {Cottbus ; Senfteberg}, doi = {10.26127/BTUOpen-6212}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-62121}, pages = {86}, language = {de} } @misc{SchmidWinkler, author = {Schmid, Stefan and Winkler, Herwig}, title = {Empirical Findings on the Need of Industrial Production Management Systems in the Context of Enhanced Digitalization}, series = {2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)}, journal = {2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {979-8-3503-2315-3}, doi = {10.1109/IEEM58616.2023.10406474}, pages = {1406 -- 1410}, abstract = {Since the framework conditions of manufacturing companies change dynamically, production control must react to this and be adaptive and dynamically designed. Our article addresses the need of industrial production management systems in the course of enhanced digitization. The aim is to examine the extent to which traditional systems for controlling and optimizing production systems have been supplemented by Industry 4.0 concepts. In the course of the scarcity of resources and the shortage of labor, the human factor is once again coming to the fore. Against this background, the interaction between users / humans and artificial intelligence applications will be the main focus. The result should give an indicator how this connection must be considered in the future and what should artificial intelligence do in the context of production control. The findings will be the basis for future considerations of a smart production management system, which can be used for decision support as well as for auto-control.}, language = {en} } @misc{SchmidWinkler, author = {Schmid, Stefan and Winkler, Herwig}, title = {Empirical Findings on the Current State of Industrial Production Management Systems in the Context of Increasing Digitalization}, series = {Industrial Engineering and Applications - Europe : 11th International Conference, ICIEA-EU 2024, Nice, France, January 10-12, 2024}, journal = {Industrial Engineering and Applications - Europe : 11th International Conference, ICIEA-EU 2024, Nice, France, January 10-12, 2024}, publisher = {Springer Nature Switzerland}, address = {Cham}, isbn = {9783031581120}, issn = {1865-1348}, doi = {10.1007/978-3-031-58113-7_3}, pages = {23 -- 34}, abstract = {Increasing digitization and automation are currently bringing a revolution to many processes and sectors of the economy. The industry of production in particular is undergoing a fundamental transformation through the implementation of digital and networked system elements. In production control, traditionally based on established methods and experience, advanced technologies such as artificial intelligence are opening up entirely new options. Artificial intelligence's ability to analyze large amounts of data in real time and make instant decisions from it brings fresh perspectives to production control. Until now, there have been only a few surveys that examine the current status as well as future requirements for production control. Our research focuses on the current state of IT systems used to support decision-makers in production control. It also sheds light on the requirements needed to improve these systems, especially in light of advancing technological developments and increasing digitalization. The article is dedicated to the results and provides an overview of future expectations.}, language = {en} }