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This paper gives insights on the usability of single priority and multi-criteria dispatching rules for production scheduling based on the results for a German chipboard manufacturing plant. A discrete-event simulation of the manufacturing process has been modeled to compare different priority rules with an expert-based sequence for a real set of jobs. The simulation results show that using one single or multi criteria priority dispatching rule on the total production system basically leads to a poor performance, whereas using different rules for each machine will enhance the overall performance. Higher performance can be achieved by the expert based scheduling and individual multi criteria dispatching rules. Hence, a dynamic modification of the production schedule by switching the dispatching rules according to the current performance is proposed, considering unforeseen disturbances.
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.
Blockchain is a leading-edge technology that has received great public attention in the past few years. Due to its eccentric features i.e. transparency, immutability and decentralization, blockchain intends to targets any domain that deals with transactional data. In production sectors, significant efforts are in progress to make use of this disruptive technology for efficient collaboration among stakeholders and management of their products lifecycles. However, despite positive feedback and great aspiration, certain challenges still exist over which the executive level management has great concern. In this regard, this study tries to highlight and focus on what are the potential challenges in blockchain technology adoption? and provide recommendations for how organization can address those challenges? Initially, we elaborate and classify the potential challenges into two categories i.e. key challenges specific to blockchain adoption in PLM and some further challenges that are generic in nature and applicable to most of the applications of blockchain. The study then scientifically argues for potential directions and solutions to address the key challenges. Afterward, the general-purpose challenges are explored and broken down into four different aspects i.e. technical, organizational, environmental & social, and financial challenges. It is emphasized that both internal and external level decisions are need of the day to address these challenges. Finally, the evolution of a new era i.e. blockchain 5.0, its aims and capabilities to overcome the existing technical concerns has been discussed. Multiple Industrial sectors can follow the recommendation presented in this paper to setup their own secure and full-fledged blockchain-based PLM systems.
In today’s business environment companies are forced to improve transparency as well as accelerate and digitalize all steps of the order management process. Enterprise Resource Planning (ERP) systems and further information systems have become indispensable to implement an efficient order processing. Scientific papers have already summarized the main problems of these systems. For this paper a survey was carried out showing the suitability of information systems with a focus on ERP systems for decision support in the order management process for a given product delivery strategy. The results show that particularly the support in defining solutions needs to be improved.
Empirical assessment of the future adequacy of value stream mapping in manufacturing industries
(2018)
The digitalization and automation of processes are essential for successful industrial production systems. Real-time positioning data is crucial for intelligent, automated, and quality-assured
production. However, the lack of standardization in current real-time locating systems leads to high costs, inoperability, and limited multi-vendor availability. On the other hand, 5G technology offers in
theory opportunities for high-accuracy positioning beyond mobile communication. Local 5G networks in industrial settings could leverage existing infrastructure for positioning. Although previous research
demonstrates the theoretical capabilities of 5G positioning, practical trials cannot be performed due to hardware still being in early research developmental stages. This research aims to close the gap
between research and industrial use by assessing the technical feasibility of 5G indoor positioning in an automotive production environment. To achieve this, use cases from research and industry are
categorized into different scenarios based on distinct requirements. Representative use cases are analyzed considering system requirements and their feasibility. For this, first the overall concept of 5G
positioning is tested in a research lab, followed by simulations of 5G positioning in an industrial environment. This is performed to determine the technical capability and expected accuracy. The
simulations show that sub-meter accuracies can be achieved when combining 5G positioning with lineof-sight filtering. This study highlights the promising role of 5G as a real-time locating system in
industrial settings. However, further research is needed to evaluate its accuracy and reliability in complex practical scenarios. Real industrial piloting will contribute to the validation and optimization
of 5G positioning systems, facilitating widespread adoption across industries.
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.
Im Zuge der zunehmenden Digitalisierung und Vernetzung von Geschäftsprozessen innerhalb und außerhalb des Unternehmens sowie den steigenden Dynamiken im gesamten Auftragsabwicklungsprozess sind die Möglichkeiten und Grenzen klassischer betrieblicher Informationssysteme zur Unterstützung der Entscheidungsträger zu hinterfragen. Neben gängigen Tabellenkalkulationstools setzten Unternehmen bisher verschiedene Informationssysteme ein. Klassische Systeme sind u.a. Enterprise Resource Planning (ERP) - Systeme, Supply Chain Management (SCM) - Systeme bzw. Advanced Planning and Scheduling (APS) - Systeme sowie Manufacturing Execution Systeme (MES).
Bisherige Studien konnten bereits verschiedene Probleme gängiger Systeme im Kontext der Implementierung, der Systemleistung, des Systemnutzens und der Interoperabilität aufzeigen. Insbesondere stärker projektorientierte Unternehmen mit kundenindividueller Auftragsfertigung kritisieren die fehlende Anpassungsfähigkeit der Systeme an die veränderten Unternehmensprozesse. Unternehmen setzen daher teilweise auf individuell entwickelte Systeme, um den Problemen entgegen zu wirken.
Zur Untersuchung des Status quo betrieblicher Entscheidungsunterstützungssysteme wurde eine Studie durchgeführt, welche einen aktualisierten Blick auf die Probleme und Anforderungen zur Verbesserung der Systeme ermöglicht. Die Ergebnisse wurden für die einzelnen Systeme und zusätzlich unter Berücksichtigung des im Unternehmen vorliegenden Auftragsabwicklungstyps analysiert. Es zeigt sich, dass insbesondere die Unterstützung bei Problemen und Störungen im Auftragsabwicklungsprozess verbessert werden muss.
To investigate current trends and challenges related to supply chain management in Germany, we conduct an interview-based study involving 16 experts. The study focuses on three areas: supply chain transformations, software challenges, and the adoption of emerging technologies. Supply chain transformations are influenced by increasing supply chain complexity, the growing prevalence of e-commerce, and the increased importance allocated by customers to trust and transparency. Complexity is, in part, due to disruptions caused by policy responses to the pandemic and to software challenges in terms of the adaptability of ERP systems and the cybersecurity of cloud-based solutions. This study is relevant for practitioners, as it sheds light on pressing issues in supply chain management, and for researchers as it uncovers potential topics that require further research in the future.
Der Auftragsabwicklungsprozess ist in produzierenden Unternehmen durch eine erhöhte Komplexität infolge der zunehmenden Variantenvielfalt und der steigenden Anforderungen an individualisierte Produkte gekennzeichnet. Diese Komplexität führt zu Intransparenz bei Entscheidungen im Produktionsvollzug. Weiterhin verursachen verschiedene Prozessdynamiken, z. B. unvorhergesehene Störungen, kurzfristige und unregelmäßige Bestellungen sowie nachträgliche Kundenänderungswünsche Störungen in der Auftragsabwicklung.
Mit der Wertstrommethode lassen sich Produktivität und Effizienz des Produktionssystems steigern. Dies geschieht durch Schaffung von Transparenz und Aufdeckung möglicher Optimierungspotentiale. Die Fallstudie zeigt, wie die Methode systematisch anzuwenden ist und welche Erfolge sich durch sie erzielen lassen. Außerdem wird die Notwendigkeit eines fortwährenden Wertstrommanagements deutlich.