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PhD University of Leipzig, Germany | Research Fellow, European University Institute Florence, Italy | Habilitation University of Duisburg-Essen, Germany | Visiting Professor University of Modena, Italy | Interim Professor Georg-August-University of Göttingen, Germany
Die globale humanitäre Logistik in Not- und Krisensituationen sieht sich einer Reihe von Herausforderungen wie steigender Anzahl und Schwere von Katastrophensituationen, steigender Komplexität der globalen Transportnetzwerke sowie gegenüber. In dieser Situation wird in umfassender Weise der Versuch unternommen, erfolgreiche Konzepte der Betriebswirtschaftslehre auch auf wesentliche Bereich der humanitären Logistik mit in der Regel Non-Profit-Settings zu übertragen. Dies gilt auch für den Bereich der betrieblichen Leistungsmessung, der in diesem Kapitel ausführlich in der Bezugsetzung zu den Spezifika humanitärer Logistikkonzepte erläutert wird. Verschiedene Handlungsoptionen und Konzepte in Hinblick auf die besonderen Anforderungen der humanitären Logistik werden vorgestellt und eingeordnet, offene Forschungsfragen und Entwicklungspunkte benannt. Damit stellt dieses Kapitel ein Beispiel dafür da, wie fundierte betriebswirtschaftliche Forschung einen konkreten Beitrag zur Verbesserung der Situation von Menschen in Notlagen bereitstellen kann.
Hella Abidi; Matthias Klumpp. Betriebswirtschaftliche Leistungsmessung in der globalen humanitären Logistik. Logistik in Wissenschaft und Praxis 2021, 661 -673.
AMA StyleHella Abidi, Matthias Klumpp. Betriebswirtschaftliche Leistungsmessung in der globalen humanitären Logistik. Logistik in Wissenschaft und Praxis. 2021; ():661-673.
Chicago/Turabian StyleHella Abidi; Matthias Klumpp. 2021. "Betriebswirtschaftliche Leistungsmessung in der globalen humanitären Logistik." Logistik in Wissenschaft und Praxis , no. : 661-673.
The development and implementation of artificial intelligence (AI) applications in health care contexts is a concurrent research and management question. Especially for hospitals, the expectations regarding improved efficiency and effectiveness by the introduction of novel AI applications are huge. However, experiences with real-life AI use cases are still scarce. As a first step towards structuring and comparing such experiences, this paper is presenting a comparative approach from nine European hospitals and eleven different use cases with possible application areas and benefits of hospital AI technologies. This is structured as a current review and opinion article from a diverse range of researchers and health care professionals. This contributes to important improvement options also for pandemic crises challenges, e.g., the current COVID-19 situation. The expected advantages as well as challenges regarding data protection, privacy, or human acceptance are reported. Altogether, the diversity of application cases is a core characteristic of AI applications in hospitals, and this requires a specific approach for successful implementation in the health care sector. This can include specialized solutions for hospitals regarding human–computer interaction, data management, and communication in AI implementation projects.
Matthias Klumpp; Marcus Hintze; Milla Immonen; Francisco Ródenas-Rigla; Francesco Pilati; Fernando Aparicio-Martínez; Dilay Çelebi; Thomas Liebig; Mats Jirstrand; Oliver Urbann; Marja Hedman; Jukka Lipponen; Silvio Bicciato; Anda-Petronela Radan; Bernardo Valdivieso; Wolfgang Thronicke; Dimitrios Gunopulos; Ricard Delgado-Gonzalo. Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals. Healthcare 2021, 9, 961 .
AMA StyleMatthias Klumpp, Marcus Hintze, Milla Immonen, Francisco Ródenas-Rigla, Francesco Pilati, Fernando Aparicio-Martínez, Dilay Çelebi, Thomas Liebig, Mats Jirstrand, Oliver Urbann, Marja Hedman, Jukka Lipponen, Silvio Bicciato, Anda-Petronela Radan, Bernardo Valdivieso, Wolfgang Thronicke, Dimitrios Gunopulos, Ricard Delgado-Gonzalo. Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals. Healthcare. 2021; 9 (8):961.
Chicago/Turabian StyleMatthias Klumpp; Marcus Hintze; Milla Immonen; Francisco Ródenas-Rigla; Francesco Pilati; Fernando Aparicio-Martínez; Dilay Çelebi; Thomas Liebig; Mats Jirstrand; Oliver Urbann; Marja Hedman; Jukka Lipponen; Silvio Bicciato; Anda-Petronela Radan; Bernardo Valdivieso; Wolfgang Thronicke; Dimitrios Gunopulos; Ricard Delgado-Gonzalo. 2021. "Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals." Healthcare 9, no. 8: 961.
Artificial intelligence (AI) applications are the core challenge for engineering and management science concepts in production and logistics within the next decade. This study analyses the application of AI instances in route planning as a central part of logistics management from an empirical case perspective for retail logistics in Germany. The methods applied encompass fuzzy data envelopment analysis (DEA), slack-based measurement (SBM) fuzzy DEA, and analytic hierarchy process (AHP)-SBM Fuzzy DEA. For the two depots using AI-based routing to the full account, efficiency advantages can be shown in the Fuzzy DEA as well as the SBM fuzzy DEA models. Results further indicate that the methodological approach is adequate for the analysed problem and that the combination with AHP is an interesting addition as, e.g., the perspective of sales managers supersedes that of logistics managers for route planning efficiency – a thought-provoking result pointing at very customer-oriented logistics systems.
Dominic Loske; Matthias Klumpp. Human-AI collaboration in route planning: An empirical efficiency-based analysis in retail logistics. International Journal of Production Economics 2021, 241, 108236 .
AMA StyleDominic Loske, Matthias Klumpp. Human-AI collaboration in route planning: An empirical efficiency-based analysis in retail logistics. International Journal of Production Economics. 2021; 241 ():108236.
Chicago/Turabian StyleDominic Loske; Matthias Klumpp. 2021. "Human-AI collaboration in route planning: An empirical efficiency-based analysis in retail logistics." International Journal of Production Economics 241, no. : 108236.
Methods of multi-criteria decision making (MCDM) from operations research have been applied to provide information for making long-term decisions in the energy sector, and energy policy. For example, in sustainability evaluations, multiple conflicting criteria can be considered. While most MCDM approaches have been applied to evaluate energy systems in a single period, the multi-criteria evaluation of energy system evolution over time has received less attention. To evaluate such transition paths, multi-period MCDM approaches can be used. Because of long-term planning horizons, deep uncertainties need to be considered. Based on prior multi-period MCDM approaches, this paper provides an extension of the outranking approach preference ranking and organization method for enrichment evaluations (PROMETHEE) for multi-period evaluations in deep uncertainty settings. In order to adequately address the consideration of uncertainties and to obtain an additional level of information, a multi-period PROMETHEE approach and scenario planning are combined. In an illustrative example, this method is applied to a case study from the German energy sector regarding a renewable energy transition. This highlights the potential interactions of a multi-period perspective and the consideration of external scenarios in the decision-making process.
Tobias Witt; Matthias Klumpp. Multi-Period Multi-Criteria Decision Making under Uncertainty: A Renewable Energy Transition Case from Germany. Sustainability 2021, 13, 6300 .
AMA StyleTobias Witt, Matthias Klumpp. Multi-Period Multi-Criteria Decision Making under Uncertainty: A Renewable Energy Transition Case from Germany. Sustainability. 2021; 13 (11):6300.
Chicago/Turabian StyleTobias Witt; Matthias Klumpp. 2021. "Multi-Period Multi-Criteria Decision Making under Uncertainty: A Renewable Energy Transition Case from Germany." Sustainability 13, no. 11: 6300.
As the German vocational education and training (VET) system, with its dual learning environment in both firms and vocational schools, is an international benchmark, many concepts and projects are aiming to transfer this approach to other countries and education systems. In such contexts, it is important to consider the specific concepts and requirements of educational transfer. This paper outlines success factors and hindrances for such endeavors. Therefore, a literature review is combined with empirical survey results from Germany. This is directed at a specific project regarding a transfer of the dual VET system from Germany to Tunisia, but it also exemplifies general factors for any such concept transfer. As important success factors, “quality assurance” and “perspectives for graduates”, for example, are identified.
Melanie Oeben; Matthias Klumpp. Transfer of the German Vocational Education and Training System—Success Factors and Hindrances with the Example of Tunisia. Education Sciences 2021, 11, 247 .
AMA StyleMelanie Oeben, Matthias Klumpp. Transfer of the German Vocational Education and Training System—Success Factors and Hindrances with the Example of Tunisia. Education Sciences. 2021; 11 (5):247.
Chicago/Turabian StyleMelanie Oeben; Matthias Klumpp. 2021. "Transfer of the German Vocational Education and Training System—Success Factors and Hindrances with the Example of Tunisia." Education Sciences 11, no. 5: 247.
The increasing use of information technology (IT) in supply chain management and logistics is connected to corporate advantages and enhanced competitiveness provided by enterprise resource planning systems and warehouse management systems. One downside of advancing digitalization is an increasing dependence on IT systems and the negative effects of technology disruption impacts on firm performance, measured by logistics efficiency, e.g., with data envelopment analysis (DEA). While the traditional DEA model cannot deconstruct production processes to find the underlying causes of inefficiencies, network DEA (NDEA) can provide insights into resource allocation at the individual stages of operations. We apply an NDEA approach to measure the impact of IT disruptions on the efficiency of operational processes in retail logistics. We compare efficiency levels during IT disruptions, as well as ripple effects throughout subsequent days. In the first stage, we evaluate the efficiency of order picking in retail logistics. After handing over the transport units to the outgoing goods department of a warehouse, we assess the subsequent process of truck loading as a second stage. The obtained results underline the analytical power of NDEA models and demonstrate that the proposed model can evaluate IT disruptions in supply chains better than traditional approaches. Insights show that efficiency reductions after IT disruptions occur at different levels and for diverse reasons, and successful preparation and contingency management can support improvements.
Matthias Klumpp; Dominic Loske. Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency. Sustainability 2021, 13, 5650 .
AMA StyleMatthias Klumpp, Dominic Loske. Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency. Sustainability. 2021; 13 (10):5650.
Chicago/Turabian StyleMatthias Klumpp; Dominic Loske. 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency." Sustainability 13, no. 10: 5650.
Purpose Technological advances regarding artificial intelligence (AI) are affecting the transport sector. Although fully autonomous delivery, or self-driving trucks, are not operating currently, various AI applications have become fixed components of cargo vehicles. Since many research approaches primarily concentrate on the technical aspects of assistance systems (ASs), the economic question of how to improve efficiency is seldom addressed. Therefore, the purpose of this paper is to apply an efficiency analysis to measure the performance of truck drivers supplying retail stores. Design/methodology/approach For this comparative study, 90 professional truck drivers in three groups are compared with (1) trucks without AS, (2) trucks with AS that cannot be turned off and (3) trucks with AS that can be turned off. First, we build a model investigating the impact of performance expectation, effort expectation, social influence and facilitating conditions on the behavioural intention to use AS. Second, we explore the impact of truck drivers' behavioural intention on actual technology use, misuse and disuse; operationalize these constructs; and merge them with our behavioural constructs to create one econometric model. Findings The human–AI system was found to be the most efficient. Additionally, behavioural intention to use ASs did not lead to actual usage in the AI-alone observation group, but did in the human–AI group. Several in-depth analyses showed that the AI-alone group used AS at a higher level than the human–AI group, but manipulations through, for example, kickdowns or manual break operations led to conscious overriding of the cruise control system and, consequently, to higher diesel consumption, higher variable costs and lower efficiency of transport logistical operations. Research limitations/implications Efficiency analysis with data envelopment analysis is, by design, limited by the applied input and output factors. Originality/value This study represents one of the first quantitative efficiency analyses of the impact of digitalization on transport performance (i.e. truck driver efficiency). Furthermore, we build an econometric model combining behavioural aspects with actual technology usage in a real application scenario.
Dominic Loske; Matthias Klumpp. Intelligent and efficient? An empirical analysis of human–AI collaboration for truck drivers in retail logistics. The International Journal of Logistics Management 2021, ahead-of-p, 1 .
AMA StyleDominic Loske, Matthias Klumpp. Intelligent and efficient? An empirical analysis of human–AI collaboration for truck drivers in retail logistics. The International Journal of Logistics Management. 2021; ahead-of-p (ahead-of-p):1.
Chicago/Turabian StyleDominic Loske; Matthias Klumpp. 2021. "Intelligent and efficient? An empirical analysis of human–AI collaboration for truck drivers in retail logistics." The International Journal of Logistics Management ahead-of-p, no. ahead-of-p: 1.
Die Logistikbranche in Deutschland wächst seit Jahren kontinuierlich. Mit ihr steigt auch die Anzahl der Sendungen und Auslieferungen durch Kurier-, Express- und Paketdienste (KEP-Dienste) (vgl. Muschkiet und Schückhaus 2019, S. 357). Auch für die nächsten Jahre ist ein Wachstum der Paketmengen prognostiziert (vgl. Statista 2019a, 2019b).
Matthias Klumpp; Volker Gruhn; Marc Hesenius; Patrick Schwarz. Connected Urban Mobility: Einsatz Künstlicher Intelligenz zur Koordination von Lastenrädern in der Last Mile Logistik. Making Connected Mobility Work 2021, 533 -547.
AMA StyleMatthias Klumpp, Volker Gruhn, Marc Hesenius, Patrick Schwarz. Connected Urban Mobility: Einsatz Künstlicher Intelligenz zur Koordination von Lastenrädern in der Last Mile Logistik. Making Connected Mobility Work. 2021; ():533-547.
Chicago/Turabian StyleMatthias Klumpp; Volker Gruhn; Marc Hesenius; Patrick Schwarz. 2021. "Connected Urban Mobility: Einsatz Künstlicher Intelligenz zur Koordination von Lastenrädern in der Last Mile Logistik." Making Connected Mobility Work , no. : 533-547.
Although resources are scarce and outputs incorporate the potential to save human lives, efficiency measurement endeavors with data envelopment analysis (DEA) methods are not yet commonplace in the research and practice of non-government organizations (NGO) and states involved in humanitarian logistics. We present a boot-strapped DEA window analysis and Malmquist index application as a methodological state of the art for a multi-input and multi-output efficiency analysis and discuss specific adaptions to typical core challenges in humanitarian logistics. A characteristic feature of humanitarian operations is the fact that a multitude of organizations are involved on at least two levels, national and supra-national, as well as in two sectors, private NGO and government agencies. This is modeled and implemented in an international empirical analysis: First, a comprehensive dataset from the 34 least developed countries in Africa from 2002 to 2015 is applied for the first time in such a DEA Malmquist index efficiency analysis setting regarding the national state actor level. Second, an analysis of different sections in a Rohingya refugee camp in Bangladesh is analyzed based on a bootstrapped DEA with window analysis application for 2017, 2018, and 2019 quarter data regarding the private NGO level of operations in humanitarian logistics.
Matthias Klumpp; Dominic Loske. Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis. International Journal of Environmental Research and Public Health 2021, 18, 2219 .
AMA StyleMatthias Klumpp, Dominic Loske. Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis. International Journal of Environmental Research and Public Health. 2021; 18 (5):2219.
Chicago/Turabian StyleMatthias Klumpp; Dominic Loske. 2021. "Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis." International Journal of Environmental Research and Public Health 18, no. 5: 2219.
Order picking is a crucial but labor- and cost-intensive activity in the retail logistics and e-commerce domain. Comprehensive changes are implemented in this field due to new technologies like AI and automation. Nevertheless, human worker’s activities will be required for quite some time in the future. This fosters the necessity of evaluating manual picker-to-part operations. We apply the non-parametric Data Envelopment Analysis (DEA) to evaluate the efficiency of n = 23 order pickers processing 6109 batches with 865,410 stock keeping units (SKUs). We use distance per location, picks per location, as well as volume per SKU as inputs and picks per hour as output. As the convexity axiom of standard DEA models cannot be fully satisfied when using ratio measures with different denominators, we apply the Free Disposal Hull (FDH) approach that does not assume convexity. Validating the efficiency scores with the company’s efficiency assessment, operationalized by premium payments shows a 93% goodness=of-fit for the proposed model. The formulated non-parametric approach and its empirical application are promising ways forward in implementing empirical efficiency measurements for order picking operations within e-commerce operations.
Matthias Klumpp; Dominic Loske. Order Picking and E-Commerce: Introducing Non-Parametric Efficiency Measurement for Sustainable Retail Logistics. Journal of Theoretical and Applied Electronic Commerce Research 2021, 16, 846 -858.
AMA StyleMatthias Klumpp, Dominic Loske. Order Picking and E-Commerce: Introducing Non-Parametric Efficiency Measurement for Sustainable Retail Logistics. Journal of Theoretical and Applied Electronic Commerce Research. 2021; 16 (4):846-858.
Chicago/Turabian StyleMatthias Klumpp; Dominic Loske. 2021. "Order Picking and E-Commerce: Introducing Non-Parametric Efficiency Measurement for Sustainable Retail Logistics." Journal of Theoretical and Applied Electronic Commerce Research 16, no. 4: 846-858.
Digital developments and changes in the production, supply chain and logistics sector as well as specific concepts like automation and Industry 4.0 or the Internet of Things are omnipresent. Especially the human role in such settings experiences important changes, which has not been adequately addressed in research yet. This introduction chapter contains an overview of elements encountered in digitalization processes in order to ensure sustainable work environments and efficient Human-Computer Interaction settings for the benefit of workers and organizations. Thus, it is the aim of this chapter to provide a structured synopsis to consider the human factor in analyzing digital work processes. This synopsis is aligned with typical workflow developments in digitalization projects and can be transferred to different work settings in supply chains. Finally, we outline the chapter structure of this book within four thematic sections in order to provide a joint storyline on investigating the human factor in digital supply chains.
Matthias Klumpp; Caroline Ruiner. Digital Supply Chains and the Human Factor—A Structured Synopsis. Optimization and Decision Support Systems for Supply Chains 2021, 1 -14.
AMA StyleMatthias Klumpp, Caroline Ruiner. Digital Supply Chains and the Human Factor—A Structured Synopsis. Optimization and Decision Support Systems for Supply Chains. 2021; ():1-14.
Chicago/Turabian StyleMatthias Klumpp; Caroline Ruiner. 2021. "Digital Supply Chains and the Human Factor—A Structured Synopsis." Optimization and Decision Support Systems for Supply Chains , no. : 1-14.
Digital logistics processes are not only a technological challenge. In addition, the question of human cognitive strain and human-computer interaction are important success factors for digital logistics work concepts. After a background introduction, conceptual and an analytical frameworks for identifying cognitive strain in digital logistics work are presented and applied to specific logistics activities. Characteristic features are the speed and density of work tasks, the requirement for teamwork and inter-organizational cooperation as well as the important role of motivation in the “people business” of logistics. Further research is warranted regarding the specific characteristics of digital logistics work and the impact on cognitive workload of human workers.
Matthias Klumpp; Vera Hagemann; Martina Schaper. Assessment of Cognitive Strain in Digital Logistics Work: Background, Analysis and Implications. Optimization and Decision Support Systems for Supply Chains 2020, 504 -515.
AMA StyleMatthias Klumpp, Vera Hagemann, Martina Schaper. Assessment of Cognitive Strain in Digital Logistics Work: Background, Analysis and Implications. Optimization and Decision Support Systems for Supply Chains. 2020; ():504-515.
Chicago/Turabian StyleMatthias Klumpp; Vera Hagemann; Martina Schaper. 2020. "Assessment of Cognitive Strain in Digital Logistics Work: Background, Analysis and Implications." Optimization and Decision Support Systems for Supply Chains , no. : 504-515.
Digital developments for logistics include many general and specific concepts as for example automation and Industry 4.0, Internet of Things (IoT), Physical Internet (PI) or Cyber-physical Systems (CPS). Overall, the human role in such settings will see profound changes – and many fears from workers are arising especially as there is no positive definition of new human work roles and expectations yet. We analyze the role of human intuition within an IoT and artificial intelligence application environment in logistics and supply chain processes and how it can be developed. Such a positive concept of increased efficiency by human-AI teams is an important cornerstone for digitalization as otherwise obstruction and fear may prevail with logistics and production workers.
Matthias Klumpp; Caroline Ruiner. Human Role in Digital Logistics: Relevance of Intuition in Interacting with AI. Optimization and Decision Support Systems for Supply Chains 2019, 32 -44.
AMA StyleMatthias Klumpp, Caroline Ruiner. Human Role in Digital Logistics: Relevance of Intuition in Interacting with AI. Optimization and Decision Support Systems for Supply Chains. 2019; ():32-44.
Chicago/Turabian StyleMatthias Klumpp; Caroline Ruiner. 2019. "Human Role in Digital Logistics: Relevance of Intuition in Interacting with AI." Optimization and Decision Support Systems for Supply Chains , no. : 32-44.
Ein Transfer der innovativen Elemente des Konzepts Industrie 4.0 in den Bereich der Dienstleistungsproduktion am Beispiel der Leitungsprozesse in Hochschulen ist sehr interessant, da der überwiegende Anteil der volkswirtschaftlichen Wertschöpfung in tertiären Dienstleistungsorganisationen erbracht wird. Daher sind Befassungen mit der Übertragbarkeit des Konzepts Industrie 4.0 in den Bereich der Dienstleistungen hinein für alle tertiären Leistungsprozesse von hoher Bedeutung. Dieses Kapitel gibt hierzu einen qualitativen Überblick mit einer Konzeptanalyse für verschiedene Teilbereiche von Hochschulprozessen (Forschung, Lehre) in Bezug auf die Kernelemente von Industrie 4.0. Die Hauptaussagen der Analyse können dahingehend zusammengefasst werden, dass im Bereich der Lehre für die Anwendung von Elementen der Konzeption Industrie 4.0 als theoretische Ableitung insbesondere Effizienzpotenziale identifiziert werden. Demgegenüber werden im Bereich der Forschung im Wesentlichen Qualitäts- und Effizienzvorteile erwartet. Eine Pilotierung einzelner Prozessinnovationen durch Anwendung von Industrie-4.0-Elementen im Bereich der Hochschulleistungsprozesse ist als vielversprechend einzustufen und sollte angestrebt werden. Gleichzeitig ist mit den hier dargestellten Überlegungen auch die fundierte Aufforderung verbunden, Anwendungsbereiche in anderen Feldern der Dienstleistungsproduktion zu identifizieren und zu testen.
Matthias Klumpp. Industrie 4.0 und Dienstleistungsproduktion: Fallstudienanalysen aus dem Bereich der Leistungsprozesse in Forschung und Lehre. Handbuch Industrie 4.0 und Digitale Transformation 2019, 339 -352.
AMA StyleMatthias Klumpp. Industrie 4.0 und Dienstleistungsproduktion: Fallstudienanalysen aus dem Bereich der Leistungsprozesse in Forschung und Lehre. Handbuch Industrie 4.0 und Digitale Transformation. 2019; ():339-352.
Chicago/Turabian StyleMatthias Klumpp. 2019. "Industrie 4.0 und Dienstleistungsproduktion: Fallstudienanalysen aus dem Bereich der Leistungsprozesse in Forschung und Lehre." Handbuch Industrie 4.0 und Digitale Transformation , no. : 339-352.
Purpose The purpose of this paper is to establish criteria for evaluating strategic partners in a network of logistics service providers (LSPs) to show how analytical network process (ANP) can be used to identify the weights of these criteria on a case-specific basis, and to investigate whether the ANP model can be used as a starting point to evaluate strategic partners for other LSP networks. Design/methodology/approach Based on a literature review of vertical cooperation, the authors develop an overview of criteria for the evaluation of partners in a network of LSPs. The authors then apply ANP at LSP1 to validate the criteria, identify weights for these criteria and to validate model outcomes. Furthermore, the authors investigate whether the ANP model developed for LSP1 can be applied to another LSP with similar characteristics (LSP2). In-depth interviews are used to draw conclusions on the modeling approach and the model outcomes. Findings The research shows that evaluation criteria for partners in vertical partnerships between shippers and LSPs are applicable to LSP partners in horizontal partnership networks. The ANP model with criteria weights provides a good starting point for LSPs to customize the evaluation framework according to their specific needs or operating environments. Originality/value Limited research is available on evaluating LSP partners in horizontal partnerships. To the best of the authors’ knowledge, this paper is the first to bring forward horizontal LSP partner evaluation criteria to develop an ANP model for LSP partner evaluation and to apply this to two cases, and to provide a starting point for evaluating partners in similar horizontal LSP networks.
Hella Abidi; Wout Dullaert; Sander De Leeuw; Darek Lysko; Matthias Klumpp. Strategic partner evaluation criteria for logistics service provider networks. The International Journal of Logistics Management 2019, 30, 438 -466.
AMA StyleHella Abidi, Wout Dullaert, Sander De Leeuw, Darek Lysko, Matthias Klumpp. Strategic partner evaluation criteria for logistics service provider networks. The International Journal of Logistics Management. 2019; 30 (2):438-466.
Chicago/Turabian StyleHella Abidi; Wout Dullaert; Sander De Leeuw; Darek Lysko; Matthias Klumpp. 2019. "Strategic partner evaluation criteria for logistics service provider networks." The International Journal of Logistics Management 30, no. 2: 438-466.
Current concept, development, and testing applications in production concerning Cyber-Physical Systems (CPS), Industry 4.0 (I40), and Internet of Things (IoT) are mainly addressing fully autonomous systems, fostered by an increase in available technologies regarding distributed decision-making, sensors, and actuators for robotics systems. This is applied also to production logistics settings with a multitude of transport tasks, e.g., between warehousing or material supply stations and production locations within larger production sites as for example in the automotive industry. In most cases, mixed environments where automated systems and humans collaborate (e.g., cobots) are not in the center of analysis and development endeavors although the worker’s adoption and acceptance of new technologies are of crucial relevance. From an interdisciplinary research perspective, this constitutes an important research gap, as the future challenges for successful automated systems will rely mainly on human-computer interaction (HCI) in connection with an efficient collaboration between motivated workers, automated robotics, and transportation systems. We develop a HCI efficiency description in production logistics based on an interdisciplinary analysis consisting of three interdependent parts: (i) a production logistics literature review and process study, (ii) a computer science literature review and simulation study for an existing autonomous traffic control algorithm applicable to production logistics settings with the specific inclusion of human actors, and (iii) a work science analysis for automation settings referring to theoretical foundations and empirical findings regarding the management of workers in digital work settings. We conclude with practical implications and discuss avenues for future research and business applications.
Matthias Klumpp; Marc Hesenius; Ole Meyer; Caroline Ruiner; Volker Gruhn. Production logistics and human-computer interaction—state-of-the-art, challenges and requirements for the future. The International Journal of Advanced Manufacturing Technology 2019, 105, 3691 -3709.
AMA StyleMatthias Klumpp, Marc Hesenius, Ole Meyer, Caroline Ruiner, Volker Gruhn. Production logistics and human-computer interaction—state-of-the-art, challenges and requirements for the future. The International Journal of Advanced Manufacturing Technology. 2019; 105 (9):3691-3709.
Chicago/Turabian StyleMatthias Klumpp; Marc Hesenius; Ole Meyer; Caroline Ruiner; Volker Gruhn. 2019. "Production logistics and human-computer interaction—state-of-the-art, challenges and requirements for the future." The International Journal of Advanced Manufacturing Technology 105, no. 9: 3691-3709.
An implication of the concept of digitization-induced Artificial Divide (Klumpp, 2017) is that whether AI measures can be accessed and successfully implemented has a separating effect on people and organizations for individual prospects and social participation likely are affected (see Fig. 1). Since human-artificial cooperation and willingness to adapt are required of individuals in logistics (Zijm, Klumpp, 2017), mobile learning environments can contribute to the required media literacy in general and convey particular skills efficiently. By having content for mandatory employee certification conveyed via mobile learning, employers can contribute to an easing of digitization transitions, and all participants can be sure that efforts in using novel approaches will not be done just for their own sake.
M. Klumpp; Thomas Neukirchen; W. Koop. Mobile Learning and Human-Artificial Cooperation in Logistics. Mobilität in Zeiten der Veränderung 2019, 371 -382.
AMA StyleM. Klumpp, Thomas Neukirchen, W. Koop. Mobile Learning and Human-Artificial Cooperation in Logistics. Mobilität in Zeiten der Veränderung. 2019; ():371-382.
Chicago/Turabian StyleM. Klumpp; Thomas Neukirchen; W. Koop. 2019. "Mobile Learning and Human-Artificial Cooperation in Logistics." Mobilität in Zeiten der Veränderung , no. : 371-382.
In connection to the general bullwhip effect with increased order volumes upstream in the supply chain caused by the information gaps and human behavior, a green bullwhip effect was proposed to have a special impact of green logistics measures in the same direction as the original bullwhip effect. This is caused by a restriction in flexibility due to most green transportation measures and the human reactions to this change. This contribution is discussing similar effects of further sustainability concepts as, e.g., sustainable lifestyles and proposing a comprehensive approach to mitigate such a further potential bullwhip effect in supply chain management.
Matthias Klumpp. Green Bullwhip Effect Revisited: How Sustainable Lifestyles Might Influence Supply Chains. Innovative Logistics Services and Sustainable Lifestyles 2019, 105 -114.
AMA StyleMatthias Klumpp. Green Bullwhip Effect Revisited: How Sustainable Lifestyles Might Influence Supply Chains. Innovative Logistics Services and Sustainable Lifestyles. 2019; ():105-114.
Chicago/Turabian StyleMatthias Klumpp. 2019. "Green Bullwhip Effect Revisited: How Sustainable Lifestyles Might Influence Supply Chains." Innovative Logistics Services and Sustainable Lifestyles , no. : 105-114.
Human–computer interaction (HCI) is a cornerstone for the success of technical innovation in the logistics and supply chain sector. As a major part of social sustainability, this interaction is changing as artificial intelligence applications (Internet of Things, autonomous transport, Physical Internet) are implemented, leading to larger machine autonomy, and hence the transition from a primary executive to a supervisory role of human operators. A fundamental question concerns the level of control transferred to machines, such as autonomous vehicles and automatic materials handling devices. Problems include a lack of human trust toward automatic decision making or an inclination to override the system in case automated decisions are misperceived. This paper outlines a theoretical framework, describing different levels of acceptance and trust as a key HCI element of technology innovation, and points to the possible danger of an artificial divide at both the individual and firm level. Based upon the findings of four benchmark cases, a classification of the roles of human employees in adopting innovations is developed. Measures at operational, tactical, and strategic level are discussed to improve HCI, more in particular the capacity of individuals and firms to apply state‐of‐the‐art techniques and to prevent an artificial divide, thereby increasing social sustainability.
Matthias Klumpp; Henk Zijm. Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction. Journal of Business Logistics 2019, 40, 265 -278.
AMA StyleMatthias Klumpp, Henk Zijm. Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction. Journal of Business Logistics. 2019; 40 (3):265-278.
Chicago/Turabian StyleMatthias Klumpp; Henk Zijm. 2019. "Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction." Journal of Business Logistics 40, no. 3: 265-278.
Die Logistik zählt zu den wichtigsten Branchen weltweit und ist Vorreiter für die Implementierung von Konzepten wie Internet der Dinge und Industrie 4.0. Mit der digitalen Transformation in diesem Kontext, und dem benachbarten Bereich der Produktion, verändern sich nicht nur Wertschöpfungsprozesse in Industrie- und Logistikunternehmen grundlegend, sondern auch die Anforderungen menschlicher Arbeit. Gefordert werden Abstraktions- und Problemlösungsfähigkeiten im Umgang mit Komplexität, die zu einer Veränderung benötigter Kompetenzprofile von Beschäftigten führen. Dabei ist die Balance von gewandelten Arbeitsanforderungen auf der einen Seite und verfügbaren Kompetenzen auf der anderen Seite zentral für eine sichere, gesunde und motivierende Arbeit. Gegenstand dieses Kapitels ist es, die Gestaltungsoptionen digitalisierter Arbeit aufzuzeigen und aus interdisziplinärer Perspektive unter Berücksichtigung der Logistikforschung, der Arbeitssoziologie und Arbeitspsychologie sowie der Informatik zu reflektieren.
Matthias Klumpp; Vera Hagemann; Caroline Ruiner; Thomas J. Neukirchen; Marc Hesenius. Arbeitswelten der Logistik im Wandel – Gestaltung digitalisierter Arbeit im Kontext des Internet der Dinge und von Industrie 4.0. FOM-Edition 2018, 67 -85.
AMA StyleMatthias Klumpp, Vera Hagemann, Caroline Ruiner, Thomas J. Neukirchen, Marc Hesenius. Arbeitswelten der Logistik im Wandel – Gestaltung digitalisierter Arbeit im Kontext des Internet der Dinge und von Industrie 4.0. FOM-Edition. 2018; ():67-85.
Chicago/Turabian StyleMatthias Klumpp; Vera Hagemann; Caroline Ruiner; Thomas J. Neukirchen; Marc Hesenius. 2018. "Arbeitswelten der Logistik im Wandel – Gestaltung digitalisierter Arbeit im Kontext des Internet der Dinge und von Industrie 4.0." FOM-Edition , no. : 67-85.