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Klumpp, Matthias
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Klumpp, Matthias
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Klumpp, Matthias
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Klumpp, M.
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2021Journal Article [["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"]]Details DOI2022-11-05Journal Article [["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"]]Details DOI2021-12-17Journal Article [["dc.bibliographiccitation.firstpage","16"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Zeitschrift für Arbeits- und Organisationspsychologie"],["dc.bibliographiccitation.lastpage","30"],["dc.bibliographiccitation.volume","67"],["dc.contributor.affiliation",", ;"],["dc.contributor.affiliation",", ;"],["dc.contributor.affiliation",", ;"],["dc.contributor.affiliation",", ;"],["dc.contributor.affiliation",", ;"],["dc.contributor.affiliation",", ;"],["dc.contributor.affiliation",", ;"],["dc.contributor.author","Hagemann, Vera"],["dc.contributor.author","Meinecke, Jonathan"],["dc.contributor.author","Schaper, Martina"],["dc.contributor.author","Debbing, Christina"],["dc.contributor.author","Ruiner, Caroline"],["dc.contributor.author","Hesenius, Marc"],["dc.contributor.author","Klumpp, Matthias"],["dc.date.accessioned","2022-12-13T09:33:28Z"],["dc.date.available","2022-12-13T09:33:28Z"],["dc.date.issued","2021-12-17"],["dc.date.updated","2022-12-12T15:36:23Z"],["dc.description.abstract","Abstract. When digitalizing work, organizations face the challenge of\r\n analyzing, evaluating, and mitigating a potential increase in mental workload for\r\n employees and managers. This paper presents an instrument to assess mental stress and\r\n strain in digital work contexts and the related development process and validation. Based\r\n on a literature and instrument review and an interview study, we developed an assessment\r\n instrument and validated it in two coordinated studies (N = 245,\r\n N = 279), ultimately resulting in an instrument with 139 items: 27\r\n items addressing demographic aspects and 112 items dispersed over five categories (work\r\n task and activity, workflow and organizing, work environment, organizational climate, and\r\n personal attitude). To demonstrate the instrument’s validity, we calculated a\r\n structural equation model based on the framework of the job demands-resources model. The\r\n resulting instrument is comprehensive and can also be applied by HR nonprofessionals."],["dc.identifier.doi","10.1026/0932-4089/a000387"],["dc.identifier.eissn","2190-6270"],["dc.identifier.issn","0932-4089"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/118546"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-507"],["dc.publisher","Hogrefe Verlag"],["dc.relation.eissn","2190-6270"],["dc.relation.issn","0932-4089"],["dc.relation.orgunit","Professur für Produktion und Logistik"],["dc.rights","CC BY 4.0"],["dc.title","Mental Stress and Strain Assessment in Digital Work"],["dc.title.alternative","The Measurement Instrument MESTAT for Employees and Leaders"],["dc.title.subtitle","The Measurement Instrument MESTAT for Employees and Leaders"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2021Journal Article [["dc.bibliographiccitation.firstpage","6300"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Sustainability"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Witt, Tobias"],["dc.contributor.author","Klumpp, Matthias"],["dc.date.accessioned","2021-07-05T15:00:50Z"],["dc.date.available","2021-07-05T15:00:50Z"],["dc.date.issued","2021"],["dc.description.abstract","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."],["dc.description.abstract","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."],["dc.identifier.doi","10.3390/su13116300"],["dc.identifier.pii","su13116300"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87914"],["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","Multi-Period Multi-Criteria Decision Making under Uncertainty: A Renewable Energy Transition Case from Germany"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2021Journal Article Research Paper [["dc.bibliographiccitation.firstpage","11652"],["dc.bibliographiccitation.issue","21"],["dc.bibliographiccitation.journal","Sustainability"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Fredershausen, Sebastian"],["dc.contributor.author","Willnat, Mathias"],["dc.contributor.author","Witt, Tobias"],["dc.contributor.author","Harnischmacher, Christine"],["dc.contributor.author","Lembcke, Tim-Benjamin"],["dc.contributor.author","Klumpp, Matthias"],["dc.contributor.author","Kolbe, Lutz"],["dc.contributor.author","Lechte, Henrik"],["dc.date.accessioned","2021-12-01T09:22:53Z"],["dc.date.available","2021-12-01T09:22:53Z"],["dc.date.issued","2021"],["dc.description.abstract","Hydrogen technologies have received increased attention in research and development to foster the shift towards carbon-neutral energy systems. Depending on the specific production techniques, transportation concepts, and application areas, hydrogen supply chains (HSCs) can be anything from part of the energy transition problem to part of the solution: Even more than battery-driven electric mobility, hydrogen is a polyvalent technology and can be used in very different contexts with specific positive or negative sustainability impacts. Thus, a detailed sustainability evaluation is crucial for decision making in the context of hydrogen technology and its diverse application fields. This article provides a comprehensive, structured literature review in the context of HSCs along the triple bottom line dimensions of environmental, economic, and social sustainability, analyzing a total of 288 research papers. As a result, we identify research gaps mostly regarding social sustainability and the supply chain stages of hydrogen distribution and usage. We suggest further research to concentrate on these gaps, thus strengthening our understanding of comprehensive sustainability evaluations for HSCs, especially in social sustainability evaluation. In addition, we provide an additional approach for discussion by adding literature review results from neighboring fields, highlighting the joint challenges and insights regarding sustainability evaluation."],["dc.description.abstract","Hydrogen technologies have received increased attention in research and development to foster the shift towards carbon-neutral energy systems. Depending on the specific production techniques, transportation concepts, and application areas, hydrogen supply chains (HSCs) can be anything from part of the energy transition problem to part of the solution: Even more than battery-driven electric mobility, hydrogen is a polyvalent technology and can be used in very different contexts with specific positive or negative sustainability impacts. Thus, a detailed sustainability evaluation is crucial for decision making in the context of hydrogen technology and its diverse application fields. This article provides a comprehensive, structured literature review in the context of HSCs along the triple bottom line dimensions of environmental, economic, and social sustainability, analyzing a total of 288 research papers. As a result, we identify research gaps mostly regarding social sustainability and the supply chain stages of hydrogen distribution and usage. We suggest further research to concentrate on these gaps, thus strengthening our understanding of comprehensive sustainability evaluations for HSCs, especially in social sustainability evaluation. In addition, we provide an additional approach for discussion by adding literature review results from neighboring fields, highlighting the joint challenges and insights regarding sustainability evaluation."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.3390/su132111652"],["dc.identifier.pii","su132111652"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/94507"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-478"],["dc.relation.eissn","2071-1050"],["dc.relation.orgunit","Professur für Produktion und Logistik"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Towards an Understanding of Hydrogen Supply Chains: A Structured Literature Review Regarding Sustainability Evaluation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2019Journal Article [["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.journal","The International Journal of Advanced Manufacturing Technology"],["dc.bibliographiccitation.lastpage","19"],["dc.contributor.author","Klumpp, Matthias"],["dc.contributor.author","Hesenius, Marc"],["dc.contributor.author","Meyer, Ole"],["dc.contributor.author","Ruiner, Caroline"],["dc.contributor.author","Gruhn, Volker"],["dc.date.accessioned","2019-07-09T11:51:32Z"],["dc.date.available","2019-07-09T11:51:32Z"],["dc.date.issued","2019"],["dc.description.abstract","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."],["dc.identifier.doi","10.1007/s00170-019-03785-0"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16146"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59965"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","330"],["dc.title","Production logistics and human-computer interaction—state-of-the-art, challenges and requirements for the future"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2022Journal Article [["dc.bibliographiccitation.firstpage","2176"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Healthcare"],["dc.bibliographiccitation.volume","10"],["dc.contributor.affiliation","Klumpp, Matthias; 1Fraunhofer IML Dortmund, 44227 Dortmund, Germany"],["dc.contributor.affiliation","Hanelt, André; 3Faculty of Economics and Management, University of Kassel, 34125 Kassel, Germany"],["dc.contributor.affiliation","Greve, Maike; 2Department of Business Administration, University of Göttingen, 37073 Göttingen, Germany"],["dc.contributor.affiliation","Kolbe, Lutz M.; 2Department of Business Administration, University of Göttingen, 37073 Göttingen, Germany"],["dc.contributor.affiliation","Tofangchi, Schahin; 4Soramitsu Co., Ltd., Tokyo 151-0051, Japan"],["dc.contributor.affiliation","Böhrnsen, Florian; 5University Medical Center Göttingen, 37075 Göttingen, Germany"],["dc.contributor.affiliation","Jakob, Jens; 5University Medical Center Göttingen, 37075 Göttingen, Germany"],["dc.contributor.affiliation","Kaczmarek, Sylvia; 1Fraunhofer IML Dortmund, 44227 Dortmund, Germany"],["dc.contributor.affiliation","Börsting, Ingo; 6Faculty of Business Administration and Economics, University of Duisburg-Essen, 45127 Essen, Germany"],["dc.contributor.affiliation","Ehmke, Christopher; 6Faculty of Business Administration and Economics, University of Duisburg-Essen, 45127 Essen, Germany"],["dc.contributor.affiliation","Düsing, Helena; 7University Medical Center of Münster, 48149 Münster, Germany"],["dc.contributor.affiliation","Juhra, Christian; 7University Medical Center of Münster, 48149 Münster, Germany"],["dc.contributor.author","Klumpp, Matthias"],["dc.contributor.author","Hanelt, André"],["dc.contributor.author","Greve, Maike"],["dc.contributor.author","Kolbe, Lutz M."],["dc.contributor.author","Tofangchi, Schahin"],["dc.contributor.author","Böhrnsen, Florian"],["dc.contributor.author","Jakob, Jens"],["dc.contributor.author","Kaczmarek, Sylvia"],["dc.contributor.author","Börsting, Ingo"],["dc.contributor.author","Ehmke, Christopher"],["dc.contributor.author","Juhra, Christian"],["dc.contributor.author","Düsing, Helena"],["dc.contributor.editor","Carreras, Joaquim"],["dc.date.accessioned","2022-12-01T08:31:40Z"],["dc.date.available","2022-12-01T08:31:40Z"],["dc.date.issued","2022"],["dc.date.updated","2022-11-28T11:15:20Z"],["dc.description.abstract","Digital applications in health care are a concurrent research and management question, where implementation experiences are a core field of information systems research. It also contributes to fighting pandemic crises like COVID-19 because contactless information flow and speed of diagnostics are improved. This paper presents three digital application case studies from emergency medicine, administration management, and cancer diagnosis with AI support from the University Medical Centers of Münster and Göttingen in Germany. All cases highlight the potential of digitalization to increase speed and efficiency within the front end of medicine as the crucial phase before patient treatment starts. General challenges for health care project implementations and human-computer interaction (HCI) concepts in health care are derived and discussed, including the importance of specific processes together with user analysis and adaption. A derived concept for HCI includes the criteria speed, accuracy, modularity, and individuality to achieve sustainable improvements within the front end of medicine."],["dc.description.sponsorship","central publication fund"],["dc.identifier.doi","10.3390/healthcare10112176"],["dc.identifier.pii","healthcare10112176"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/118231"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-621"],["dc.publisher","MDPI"],["dc.relation.eissn","2227-9032"],["dc.rights","Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)."],["dc.title","Accelerating the Front End of Medicine: Three Digital Use Cases and HCI Implications"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2021Journal Article [["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"]]Details DOI2021Journal Article Research Paper [["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"]]Details DOI