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.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.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.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"]]

[["dc.bibliographiccitation.journal","The European Journal of Health Economics"],["dc.contributor.author","Klumpp, Matthias"],["dc.contributor.author","Loske, Dominic"],["dc.contributor.author","Bicciato, Silvio"],["dc.date.accessioned","2022-02-01T10:31:55Z"],["dc.date.available","2022-02-01T10:31:55Z"],["dc.date.issued","2022"],["dc.description.abstract","Abstract The COVID-19 pandemic is a global challenge to humankind. To improve the knowledge regarding relevant, efficient and effective COVID-19 measures in health policy, this paper applies a multi-criteria evaluation approach with population, health care, and economic datasets from 19 countries within the OECD. The comparative investigation was based on a Data Envelopment Analysis approach as an efficiency measurement method. Results indicate that on the one hand, factors like population size, population density, and country development stage, did not play a major role in successful pandemic management. On the other hand, pre-pandemic healthcare system policies were decisive. Healthcare systems with a primary care orientation and a high proportion of primary care doctors compared to specialists were found to be more efficient than systems with a medium level of resources that were partly financed through public funding and characterized by a high level of access regulation. Roughly two weeks after the introduction of ad hoc measures, e.g., lockdowns and quarantine policies, we did not observe a direct impact on country-level healthcare efficiency, while delayed lockdowns led to significantly lower efficiency levels during the first COVID-19 wave in 2020. From an economic perspective, strategies without general lockdowns were identified as a more efficient strategy than the full lockdown strategy. Additionally, governmental support of short-term work is promising. Improving the efficiency of COVID-19 countermeasures is crucial in saving as many lives as possible with limited resources."],["dc.description.abstract","Abstract The COVID-19 pandemic is a global challenge to humankind. To improve the knowledge regarding relevant, efficient and effective COVID-19 measures in health policy, this paper applies a multi-criteria evaluation approach with population, health care, and economic datasets from 19 countries within the OECD. The comparative investigation was based on a Data Envelopment Analysis approach as an efficiency measurement method. Results indicate that on the one hand, factors like population size, population density, and country development stage, did not play a major role in successful pandemic management. On the other hand, pre-pandemic healthcare system policies were decisive. Healthcare systems with a primary care orientation and a high proportion of primary care doctors compared to specialists were found to be more efficient than systems with a medium level of resources that were partly financed through public funding and characterized by a high level of access regulation. Roughly two weeks after the introduction of ad hoc measures, e.g., lockdowns and quarantine policies, we did not observe a direct impact on country-level healthcare efficiency, while delayed lockdowns led to significantly lower efficiency levels during the first COVID-19 wave in 2020. From an economic perspective, strategies without general lockdowns were identified as a more efficient strategy than the full lockdown strategy. Additionally, governmental support of short-term work is promising. Improving the efficiency of COVID-19 countermeasures is crucial in saving as many lives as possible with limited resources."],["dc.identifier.doi","10.1007/s10198-021-01425-7"],["dc.identifier.pii","1425"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/98980"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-517"],["dc.relation.eissn","1618-7601"],["dc.relation.issn","1618-7598"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","COVID-19 health policy evaluation: integrating health and economic perspectives with a data envelopment analysis approach"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2219"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","International Journal of Environmental Research and Public Health"],["dc.bibliographiccitation.volume","18"],["dc.contributor.author","Klumpp, Matthias"],["dc.contributor.author","Loske, Dominic"],["dc.date.accessioned","2021-04-14T08:27:54Z"],["dc.date.available","2021-04-14T08:27:54Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.3390/ijerph18052219"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82445"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.publisher","MDPI"],["dc.relation.eissn","1660-4601"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","846"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Journal of Theoretical and Applied Electronic Commerce Research"],["dc.bibliographiccitation.lastpage","858"],["dc.bibliographiccitation.volume","16"],["dc.contributor.affiliation","Klumpp, Matthias; \t\t \r\n\t\t Fraunhofer Institute for Material Flow and Logistics IML, J.-v.-Fraunhofer-Str. 2-4, 44227 Dortmund, Germany, matthias.klumpp@uni-goettingen.de\t\t \r\n\t\t Institute for Logistics and Service Management, FOM University of Applied Sciences Essen, Leimkugelstr. 6, 45141 Essen, Germany, matthias.klumpp@uni-goettingen.de\t\t \r\n\t\t Department of Business Administration, Georg-August-University of Göttingen, Platz der Göttinger Sieben 3, 37073 Göttingen, Germany, matthias.klumpp@uni-goettingen.de"],["dc.contributor.affiliation","Loske, Dominic; \t\t \r\n\t\t Institute for Logistics and Service Management, FOM University of Applied Sciences Essen, Leimkugelstr. 6, 45141 Essen, Germany, dominic.loske@fom-net.de\t\t \r\n\t\t Faculty of Business and Law, UCAM Universidad Católica San Antonio de Murcia, Av. de los Jerónimos, 135, 30107 Guadalupe, Spain, dominic.loske@fom-net.de"],["dc.contributor.author","Klumpp, Matthias"],["dc.contributor.author","Loske, Dominic"],["dc.date.accessioned","2021-06-01T09:42:38Z"],["dc.date.available","2021-06-01T09:42:38Z"],["dc.date.issued","2021"],["dc.date.updated","2022-09-06T03:52:51Z"],["dc.description.abstract","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."],["dc.identifier.doi","10.3390/jtaer16040048"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/85308"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.eissn","0718-1876"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Order Picking and E-Commerce: Introducing Non-Parametric Efficiency Measurement for Sustainable Retail Logistics"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.journal","International Journal of Logistics"],["dc.bibliographiccitation.lastpage","25"],["dc.contributor.author","Loske, Dominic"],["dc.contributor.author","Klumpp, Matthias"],["dc.date.accessioned","2021-04-14T08:23:02Z"],["dc.date.available","2021-04-14T08:23:02Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1080/13675567.2020.1815681"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/80784"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1469-848X"],["dc.relation.issn","1367-5567"],["dc.title","Verifying the effects of digitalisation in retail logistics: an efficiency-centred approach"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]