Klumpp, Matthias

[["dc.bibliographiccitation.firstpage","5650"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Sustainability"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Klumpp, Matthias"],["dc.contributor.author","Loske, Dominic"],["dc.date.accessioned","2021-07-05T15:00:50Z"],["dc.date.available","2021-07-05T15:00:50Z"],["dc.date.issued","2021"],["dc.description.abstract","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."],["dc.description.abstract","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."],["dc.identifier.doi","10.3390/su13105650"],["dc.identifier.pii","su13105650"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87912"],["dc.language.iso","en"],["dc.notes.intern","DOI Import DOI-Import GROB-441"],["dc.publisher","MDPI"],["dc.relation.eissn","2071-1050"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","961"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Healthcare"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Klumpp, Matthias"],["dc.contributor.author","Hintze, Marcus"],["dc.contributor.author","Immonen, Milla"],["dc.contributor.author","Ródenas-Rigla, Francisco"],["dc.contributor.author","Pilati, Francesco"],["dc.contributor.author","Aparicio-Martínez, Fernando"],["dc.contributor.author","Çelebi, Dilay"],["dc.contributor.author","Liebig, Thomas"],["dc.contributor.author","Jirstrand, Mats"],["dc.contributor.author","Urbann, Oliver"],["dc.contributor.author","Delgado-Gonzalo, Ricard"],["dc.date.accessioned","2021-10-01T09:58:25Z"],["dc.date.available","2021-10-01T09:58:25Z"],["dc.date.issued","2021"],["dc.description.abstract","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."],["dc.description.abstract","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."],["dc.identifier.doi","10.3390/healthcare9080961"],["dc.identifier.pii","healthcare9080961"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/90060"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-469"],["dc.relation.eissn","2227-9032"],["dc.title","Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","260"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","IEEE Transactions on Consumer Electronics"],["dc.bibliographiccitation.lastpage","268"],["dc.bibliographiccitation.volume","39"],["dc.contributor.author","Witte, F.-O."],["dc.contributor.author","Backes, R."],["dc.contributor.author","Klumpp, Matthias"],["dc.contributor.author","Schidlack, E."],["dc.contributor.author","Ullrich, M."],["dc.date.accessioned","2022-06-08T08:00:21Z"],["dc.date.available","2022-06-08T08:00:21Z"],["dc.date.issued","1993"],["dc.identifier.doi","10.1109/30.234591"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/111047"],["dc.notes.intern","DOI-Import GROB-575"],["dc.relation.issn","0098-3063"],["dc.title","Multipurpose audio signal compander"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","S0925527321002127"],["dc.bibliographiccitation.firstpage","108236"],["dc.bibliographiccitation.journal","International Journal of Production Economics"],["dc.bibliographiccitation.volume","241"],["dc.contributor.author","Loske, Dominic"],["dc.contributor.author","Klumpp, Matthias"],["dc.date.accessioned","2021-12-01T09:23:35Z"],["dc.date.available","2021-12-01T09:23:35Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1016/j.ijpe.2021.108236"],["dc.identifier.pii","S0925527321002127"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/94696"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-478"],["dc.relation.issn","0925-5273"],["dc.title","Human-AI collaboration in route planning: An empirical efficiency-based analysis in retail logistics"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","224"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","International Journal of Logistics Research and Applications"],["dc.bibliographiccitation.lastpage","242"],["dc.bibliographiccitation.volume","21"],["dc.contributor.author","Klumpp, Matthias"],["dc.date.accessioned","2019-09-12T11:40:25Z"],["dc.date.available","2019-09-12T11:40:25Z"],["dc.date.issued","2017"],["dc.description.abstract","Increasing application areas and depths of autonomous systems in logistics provide a new level of challenge for the analysis and design of human–machine interaction concepts. Due to scarce high-skilled personnel in several regions and the objectives of efficiency and sustainability improvement, logistics operators have to pursue technological progress like automation with all means. In order to distinguish between more or less performing human–artificial collaboration systems in logistics ex ante for investment decision purposes, a multi-dimensional conceptual framework is developed. A comprehensive case study regarding automated truck driving in logistics is provided in order to test the concept concerning practical implications. Results include the notion of four distinctive and increasing resistance levels before finally an efficient ‘trusted’ collaboration between human operators and artificial intelligence systems can be achieved. This is important for the design of many automated systems in logistics, among others for driving and piloting professions regarding autonomous driving supervision."],["dc.identifier.doi","10.1080/13675567.2017.1384451"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62400"],["dc.language.iso","en"],["dc.relation.issn","1367-5567"],["dc.relation.issn","1469-848X"],["dc.title","Automation and artificial intelligence in business logistics systems: human reactions and collaboration requirements"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","441"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Sustainability"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Klumpp, Matthias"],["dc.date.accessioned","2022-06-08T07:57:36Z"],["dc.date.available","2022-06-08T07:57:36Z"],["dc.date.issued","2016"],["dc.identifier.doi","10.3390/su8050441"],["dc.identifier.pii","su8050441"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/110146"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-575"],["dc.relation.eissn","2071-1050"],["dc.title","To Green or Not to Green: A Political, Economic and Social Analysis for the Past Failure of Green Logistics"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Algorithms"],["dc.bibliographiccitation.volume","15"],["dc.contributor.affiliation","Pugliese, Giulia; 1Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, 42122 Reggio Emilia, Italy"],["dc.contributor.affiliation","Chou, Xiaochen; 1Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, 42122 Reggio Emilia, Italy"],["dc.contributor.affiliation","Loske, Dominic; 2Retail Logistics Lab, Department of Business Administration, Georg-August University of Göttingen, 37073 Göttingen, Germany"],["dc.contributor.affiliation","Klumpp, Matthias; 2Retail Logistics Lab, Department of Business Administration, Georg-August University of Göttingen, 37073 Göttingen, Germany"],["dc.contributor.affiliation","Montemanni, Roberto; 1Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, 42122 Reggio Emilia, Italy"],["dc.contributor.author","Pugliese, Giulia"],["dc.contributor.author","Chou, Xiaochen"],["dc.contributor.author","Loske, Dominic"],["dc.contributor.author","Klumpp, Matthias"],["dc.contributor.author","Montemanni, Roberto"],["dc.date.accessioned","2022-12-07T15:45:50Z"],["dc.date.available","2022-12-07T15:45:50Z"],["dc.date.issued","2022-11-05"],["dc.date.updated","2022-12-07T09:41:40Z"],["dc.description.abstract","Manual order picking, the process of retrieving stock keeping units from their storage location to fulfil customer orders, is one of the most labour-intensive and costly activity in modern supply chains. To improve the outcome of order picking systems, automated and robotized components are increasingly introduced creating hybrid order picking systems where humans and machines jointly work together. This study focuses on the application of a hybrid picker-to-parts order picking system, in which human operators collaborate with Automated Mobile Robots (AMRs). In this paper a warehouse with a two-blocks layout is investigated. The main contributions are new mathematical models for the optimization of picking operations and synchronizations. Two alternative implementations for an AMR system are considered. In the first one handover locations, where pickers load AMRs are shared between pairs of opposite sub-aisles, while in the second they are not. It is shown that solving the mathematical models proposed by the meaning of black-box solvers provides a viable algorithmic optimization approach that can be used in practice to derive efficient operational plannings. The experimental study presented, based on a real warehouse and real orders, finally allows to evaluate and strategically compare the two alternative implementations considered for the AMR system."],["dc.identifier.doi","10.3390/a15110413"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/118463"],["dc.language.iso","en"],["dc.relation.eissn","1999-4893"],["dc.rights","CC BY 4.0"],["dc.title","AMR-Assisted Order Picking: Models for Picker-to-Parts Systems in a Two-Blocks Warehouse"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","946"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","IEEE Transactions on Consumer Electronics"],["dc.bibliographiccitation.lastpage","951"],["dc.bibliographiccitation.volume","42"],["dc.contributor.author","Witte, F.-O."],["dc.contributor.author","Backes, R."],["dc.contributor.author","Klumpp, Matthias"],["dc.contributor.author","Sinnhofer, W."],["dc.contributor.author","Arendt, S."],["dc.date.accessioned","2022-06-08T08:00:21Z"],["dc.date.available","2022-06-08T08:00:21Z"],["dc.date.issued","1996"],["dc.identifier.doi","10.1109/30.555787"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/111048"],["dc.notes.intern","DOI-Import GROB-575"],["dc.relation.issn","0098-3063"],["dc.title","A digital radio processor for channel demodulation and source decoding of satellite radio programs"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Employee Relations"],["dc.contributor.author","Ruiner, Caroline"],["dc.contributor.author","Debbing, Christina Elisabeth"],["dc.contributor.author","Hagemann, Vera"],["dc.contributor.author","Schaper, Martina"],["dc.contributor.author","Klumpp, Matthias"],["dc.contributor.author","Hesenius, Marc"],["dc.date.accessioned","2022-10-04T10:22:13Z"],["dc.date.available","2022-10-04T10:22:13Z"],["dc.date.issued","2022"],["dc.description.abstract","Purpose\r\n Digital technologies comprehensively change work processes and working conditions. However, the use of digital technologies and the modes of collaboration between technologies and human workers differ in terms of specific work organization and automatization. Referring to the job demands-resources model (JD-R), this paper investigates job demands and resources from the workers' perspectives and develops a digital work typology according to dimensions of digitalization and forms of human–computer interaction (HCI).\r\n \r\n \r\n Design/methodology/approach\r\n The authors conducted a qualitative-empirical study with 49 interviews in four German production and logistics organizations, emphasizing different job demands and job resources for five digital work types identified.\r\n \r\n \r\n Findings\r\n The results indicate that job demands and resources are to be differentiated in relation to specific work contexts. In this sense, this paper presents an analysis of dimensions of technology use and the impact of technology use on working conditions through empirically analyzing job demands and resources in digital work settings.\r\n \r\n \r\n Originality/value\r\n The contribution of this paper is to empirically analyze job demands and resources in digital work settings from the workers' perspectives and to develop a digital work typology based on the dimensions of digitalization and form of HCI. This typology can set the basis for further research insights as well as management practice measures in human resources management (HRM)."],["dc.identifier.doi","10.1108/ER-11-2021-0468"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/114616"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-600"],["dc.relation.issn","0142-5455"],["dc.relation.orgunit","Wirtschaftswissenschaftliche Fakultät"],["dc.title","Job demands and resources when using technologies at work – development of a digital work typology"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","ahead-of-print"],["dc.bibliographiccitation.journal","The International Journal of Logistics Management"],["dc.bibliographiccitation.volume","ahead-of-print"],["dc.contributor.author","Loske, Dominic"],["dc.contributor.author","Klumpp, Matthias"],["dc.date.accessioned","2021-04-14T08:28:22Z"],["dc.date.available","2021-04-14T08:28:22Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1108/IJLM-03-2020-0149"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82589"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.issn","0957-4093"],["dc.title","Intelligent and efficient? An empirical analysis of human–AI collaboration for truck drivers in retail logistics"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]