Geldermann, Jutta

[["dc.bibliographiccitation.firstpage","12"],["dc.bibliographiccitation.journal","Computers & Industrial Engineering"],["dc.bibliographiccitation.lastpage","23"],["dc.bibliographiccitation.volume","124"],["dc.contributor.author","Lauven, Lars-Peter"],["dc.contributor.author","Karschin, Ingo"],["dc.contributor.author","Geldermann, Jutta"],["dc.date.accessioned","2020-12-10T14:23:06Z"],["dc.date.available","2020-12-10T14:23:06Z"],["dc.date.issued","2018"],["dc.description.abstract","Advanced biomass conversion plants can replace fossil resources in the electricity, heat, transportation fuels and chemicals sectors, but they face specific challenges with regard to their economic operation. When choosing a capacity for a biomass conversion plant, economies of scale must be weighed against the transportation costs for the widely-distributed input materials.\r\n\r\nHere, we model the problem of determining the optimal capacity for plants with a single product or a fixed set of products using a single optimization variable and two alternative economic objective functions. To identify the factors that most strongly influence economic plant operation, we perform a sensitivity analysis of various model parameters to determine their impact on the optimal solution using the Envelope Theorem. We also present an optimization approach for simultaneously planning the capacity and configuration of multi-product plants. By modeling economies of scale on a process-specific level, our nonlinear optimization approach makes it possible to determine the optimal configurations, and thus ranges of products, for changing plant capacities. An examination of the obtained feasible solutions shows that the optimization problem is neither convex nor concave."],["dc.identifier.doi","10.1016/j.cie.2018.07.014"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71835"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.orgunit","Professur für Produktion und Logistik"],["dc.rights","CC BY-NC-ND 4.0"],["dc.title","Simultaneously optimizing the capacity and configuration of biorefineries"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","submitted_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","100594"],["dc.bibliographiccitation.journal","Socio-Economic Planning Sciences"],["dc.bibliographiccitation.volume","68"],["dc.contributor.author","Lerche, Nils"],["dc.contributor.author","Wilkens, Ines"],["dc.contributor.author","Schmehl, Meike"],["dc.contributor.author","Eigner-Thiel, Swantje"],["dc.contributor.author","Geldermann, Jutta"],["dc.date.accessioned","2020-04-02T14:28:24Z"],["dc.date.available","2020-04-02T14:28:24Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1016/j.seps.2017.08.002"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63553"],["dc.relation.issn","0038-0121"],["dc.title","Using methods of Multi-Criteria Decision Making to provide decision support concerning local bioenergy projects"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","606"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","European Journal of Operational Research"],["dc.bibliographiccitation.lastpage","619"],["dc.bibliographiccitation.volume","242"],["dc.contributor.author","Wiedenmann, Susanne"],["dc.contributor.author","Geldermann, Jutta"],["dc.date.accessioned","2018-11-07T09:58:28Z"],["dc.date.available","2018-11-07T09:58:28Z"],["dc.date.issued","2015"],["dc.description.abstract","Material use of agricultural raw materials as renewable resources is gaining increasing importance in industrial production. Seasonal availability as well as variations in raw material quantity and quality and of market prices need to be considered in supply planning. This research depicts the planning problem of a processor of agricultural raw materials and illustrates it with data on the industrial use of linseed oil, which is a promising raw material for the production of new polymers. A two-stage stochastic program provides decision support and is applied to the example. The approach can be used for a variety of planning problems concerning the supply of agricultural raw materials. (C) 2014 Elsevier B.V. All rights reserved."],["dc.description.sponsorship","European Union [246647]; German Research Foundation (DFG) [GRK 1703/1]"],["dc.identifier.doi","10.1016/j.ejor.2014.10.021"],["dc.identifier.isi","000349269200023"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/37367"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Bv"],["dc.relation.issn","1872-6860"],["dc.relation.issn","0377-2217"],["dc.title","Supply planning for processors of agricultural raw materials"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.journal","Applied Energy"],["dc.bibliographiccitation.lastpage","15"],["dc.bibliographiccitation.volume","204"],["dc.contributor.author","Bertsch, Valentin"],["dc.contributor.author","Geldermann, Jutta"],["dc.contributor.author","Lühn, Tobias"],["dc.date.accessioned","2020-12-10T14:22:25Z"],["dc.date.available","2020-12-10T14:22:25Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1016/j.apenergy.2017.06.055"],["dc.identifier.issn","0306-2619"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71601"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","What drives the profitability of household PV investments, self-consumption and self-sufficiency?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","305"],["dc.bibliographiccitation.journal","Journal of Cleaner Production"],["dc.bibliographiccitation.lastpage","314"],["dc.bibliographiccitation.volume","104"],["dc.contributor.author","Karschin, Ingo"],["dc.contributor.author","Geldermann, Jutta"],["dc.date.accessioned","2018-11-07T09:51:26Z"],["dc.date.available","2018-11-07T09:51:26Z"],["dc.date.issued","2015"],["dc.description.abstract","The availability of renewable energy sources and highly efficient technologies are two major considerations when evaluating a sustainable energy supply with low carbon emission. Bioenergy villages combine the use of biomass as a renewable energy source with the efficient cogeneration of heat and power; The planning of these bioenergy villages using biomass as a source of electricity and heat calls for the simultaneous identification of facility location, capacity planning, and network design for the heating grid. A linear mathematical model is presented, that optimizes the local bioenergy production and distribution system and considers various parameters such as biomass availability, the number of heat customers, or heat loss in the system. The model is applied and validated using a case study in a small village in Lower Saxony (Germany). (C) 2015 Elsevier Ltd. All rights reserved."],["dc.identifier.doi","10.1016/j.jclepro.2015.03.086"],["dc.identifier.isi","000357552900030"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/35914"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Sci Ltd"],["dc.relation.issn","1879-1786"],["dc.relation.issn","0959-6526"],["dc.title","Efficient cogeneration and district heating systems in bioenergy villages: an optimization approach"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","25"],["dc.bibliographiccitation.journal","Journal of Cleaner Production"],["dc.bibliographiccitation.lastpage","39"],["dc.bibliographiccitation.volume","110"],["dc.contributor.author","Taskhiri, Mohammad Sadegh"],["dc.contributor.author","Garbs, Matthias"],["dc.contributor.author","Geldermann, Jutta"],["dc.date.accessioned","2018-11-07T10:21:25Z"],["dc.date.available","2018-11-07T10:21:25Z"],["dc.date.issued","2016"],["dc.description.abstract","To address the growing demand for wood as a renewable resource, a trend that has arisen in recent years is to follow the principle of cascade utilisation and to use wood residues from by-products. The cascading principle represents a method supporting resource efficiency through the sequential use of the remaining quality resources from previous commodities and substances. The logistics concept deserves special attention with respect to the utilisation of wood resources and the cascading principle as logistics processes constitute the largest share of costs. This work considers a logistics network for wood flow for different products in various sectors. Examples include a logistics network for particle board in the material-based sector, pulp and paper production in the chemical sector, and wood pellets production in the energy sector using cascade utilisation and recovered wood. A transportation problem is modelled using a mixed-integer linear programming (MILP) model, and it is applied to a case study in Lower Saxony using the software CPLEX v12.5. The aim is to minimise the total logistics costs of a logistics network, including those associated with harvesting, chipping, storage and transportation, for several companies in different sectors. UMBERTO, a life cycle assessment (LCA) software, is used to investigate the potential environmental impacts of the optimised logistics network. The approach is applied to three scenarios in Lower Saxony, a state in Germany. The initial results indicate that the total cost of the considered wood logistics network does not change significantly for the cascading scenarios in comparison to that associated with fresh wood, but there would be a substantial reduction in CO2 emissions if cascade utilisation is used in the logistics network. (c) 2015 Elsevier Ltd. All rights reserved."],["dc.description.sponsorship","DFG Research Training Group [1703]"],["dc.identifier.doi","10.1016/j.jclepro.2015.09.098"],["dc.identifier.isi","000368203100004"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/42082"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Sci Ltd"],["dc.relation.issn","1879-1786"],["dc.relation.issn","0959-6526"],["dc.title","Sustainable logistics network for wood flow considering cascade utilisation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","4207"],["dc.bibliographiccitation.issue","18-19"],["dc.bibliographiccitation.journal","International Journal of Production Research"],["dc.bibliographiccitation.lastpage","4224"],["dc.bibliographiccitation.volume","45"],["dc.contributor.author","Geldermann, Jutta"],["dc.contributor.author","Treitz, Martin"],["dc.contributor.author","Rentz, Otto"],["dc.date.accessioned","2018-11-07T11:06:43Z"],["dc.date.available","2018-11-07T11:06:43Z"],["dc.date.issued","2007"],["dc.description.abstract","With the advent of more advanced process models and computational power, process integration technologies have gained in importance in improving production networks to a more sustainable production. The pinch analysis approach from the chemical engineering field in connection with multi-criteria analysis provides a consistent assessment method for different mass and energy flows within a company, an industry park or even throughout a supply chain network. It consequently strives for a more comprehensive approach to optimize the system's performance as opposed to focusing on single operational units. The advantage of the pinch analysis can be seen in the determination of the theoretical optimum for a given set of heat and material streams. The approach is illustrated in this by a case study on a bicycle company in China, where target values were identified for heat integration, water management and solvents recovery. A subsequent multi-criteria analysis facilitates the selection of a preferred option by combining the different target values and investigating the overall optimization potential of different process design options."],["dc.identifier.doi","10.1080/00207540701440014"],["dc.identifier.isi","000249857300011"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/52381"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Taylor & Francis Ltd"],["dc.relation.issn","0020-7543"],["dc.title","Towards sustainable production networks"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","22"],["dc.bibliographiccitation.journal","Procedia Engineering"],["dc.bibliographiccitation.lastpage","28"],["dc.bibliographiccitation.volume","78"],["dc.contributor.author","Gösling, Henning"],["dc.contributor.author","Geldermann, Jutta"],["dc.date.accessioned","2019-07-09T11:40:48Z"],["dc.date.available","2019-07-09T11:40:48Z"],["dc.date.issued","2014"],["dc.description.abstract","A multitude of OR models – mainly mathematical programs – has been published in relevant journals to support decision-making in the field of humanitarian logistics. Due to the effort that comes with their application, these models are often not adapted by practitioners in humanitarian organizations. Clearly, one part of the effort relates to the comparison process in which the decision-maker has to choose the most appropriate model out of the available OR models. In this contribution, a framework is presented that should help decision-makers in the field of humanitarian logistics to compare available OR models. Three different ways how to compare OR models are introduced: based on the decision they support, based on the decision criteria and metrics they use, and based on their underlying methodology and assumptions. To serve as an illustration, two mathematical programs for the specification of stationary warehouses for relief items are compared with the help of this framework. In the long run, this framework will guide users of a methodological toolkit for humanitarian logistics to the most appropriate OR model for their decision problem. The development of such a methodological toolkit is the overarching goal of this work-in-progress."],["dc.identifier.doi","10.1016/j.proeng.2014.07.034"],["dc.identifier.fs","609772"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11347"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58255"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.orgunit","Wirtschaftswissenschaftliche Fakultät"],["dc.rights","CC BY-NC-ND 3.0"],["dc.rights.uri","http://creativecommons.org/licenses/by-nc-nd/3.0/"],["dc.title","A Framework to Compare OR Models for Humanitarian Logistics"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","708"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","European Journal of Industrial Engineering"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Geldermann, Jutta"],["dc.contributor.author","Sepulveda, Juan David"],["dc.contributor.author","Lerche, Nils"],["dc.date.accessioned","2020-12-10T18:42:15Z"],["dc.date.available","2020-12-10T18:42:15Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1504/EJIE.2018.10015684"],["dc.identifier.eissn","1751-5262"],["dc.identifier.issn","1751-5254"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77858"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Combining multi-criteria decision analysis and design thinking"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","118414"],["dc.bibliographiccitation.journal","Journal of Cleaner Production"],["dc.bibliographiccitation.volume","242"],["dc.contributor.author","Witt, Tobias"],["dc.contributor.author","Dumeier, Marcel"],["dc.contributor.author","Geldermann, Jutta"],["dc.date.accessioned","2020-12-10T14:24:59Z"],["dc.date.available","2020-12-10T14:24:59Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1016/j.jclepro.2019.118414"],["dc.identifier.issn","0959-6526"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/72400"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Combining scenario planning, energy system analysis, and multi-criteria analysis to develop and evaluate energy scenarios"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]