The Experts below are selected from a list of 22701 Experts worldwide ranked by ideXlab platform
Stefan Nickel - One of the best experts on this subject based on the ideXlab platform.
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multi period reverse Logistics Network design
European Journal of Operational Research, 2012Co-Authors: Sibel A Alumur, Stefan Nickel, Francisco Saldanhadagama, Vedat VerterAbstract:The configuration of the reverse Logistics Network is a complex problem comprising the determination of the optimal sites and capacities of collection centers, inspection centers, remanufacturing facilities, and/or recycling plants. In this paper, we propose a profit maximization modeling framework for reverse Logistics Network design problems. We present a mixed-integer linear programming formulation that is flexible to incorporate most of the reverse Network structures plausible in practice. In order to consider the possibility of making future adjustments in the Network configuration to allow gradual changes in the Network structure and in the capacities of the facilities, we consider a multi-period setting. We propose a multi-commodity formulation and use a reverse bill of materials in order to capture component commonality among different products and to have the flexibility to incorporate all plausible means in tackling product returns. The proposed general framework is justified by a case study in the context of reverse Logistics Network design for washing machines and tumble dryers in Germany. We conduct extensive parametric and scenario analysis to illustrate the potential benefits of using a dynamic model as opposed to its static counterpart, and also to derive a number of managerial insights.
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Logistics Network design
OR Spectrum, 2009Co-Authors: Stefan Nickel, Francisco Saldanha-da-gamaAbstract:In the last decade, Logistics Network design has attracted the attention ofmany researchers. The strategic nature of many Network design decisions together with the need to integrate them with tactical and operational decisions explains why the topic has become of common interest for communities such as those working in Logistics, Transportation and Location Theory. The importance of the topic has been also recognized by the European Federation of the Operational Research Societies (EURO) when promoting a EUROWinter Institute on Location and Logistics, which was held in Estoril, Portugal, in January 2007. This event was a privileged forum for discussing relevant issues, models and techniques in Logistics Network design. In order to collect a representative set of works in the topic, the idea of a focused issue in ORSpectrumwas born andwas positively supported by the former and current Managing Editors, Hans-Otto Gunther and Stefan Minner, respectively. The call for papers resulted in the submission of 15 papers covering different aspects in the topic. The peer-review process resulted in eight accepted papers. Criteria in the refereeing process have been the originality of the work, the relevance and applicability of the problem studied, the technical quality of the paper and the quality of the results achieved. It should be emphasized that not all the 24 laureates in the EURO Winter Institute on Location and Logistics were encouraged to submit a paper to this
Vedat Verter - One of the best experts on this subject based on the ideXlab platform.
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multi period reverse Logistics Network design
European Journal of Operational Research, 2012Co-Authors: Sibel A Alumur, Stefan Nickel, Francisco Saldanhadagama, Vedat VerterAbstract:The configuration of the reverse Logistics Network is a complex problem comprising the determination of the optimal sites and capacities of collection centers, inspection centers, remanufacturing facilities, and/or recycling plants. In this paper, we propose a profit maximization modeling framework for reverse Logistics Network design problems. We present a mixed-integer linear programming formulation that is flexible to incorporate most of the reverse Network structures plausible in practice. In order to consider the possibility of making future adjustments in the Network configuration to allow gradual changes in the Network structure and in the capacities of the facilities, we consider a multi-period setting. We propose a multi-commodity formulation and use a reverse bill of materials in order to capture component commonality among different products and to have the flexibility to incorporate all plausible means in tackling product returns. The proposed general framework is justified by a case study in the context of reverse Logistics Network design for washing machines and tumble dryers in Germany. We conduct extensive parametric and scenario analysis to illustrate the potential benefits of using a dynamic model as opposed to its static counterpart, and also to derive a number of managerial insights.
Nezir Aydin - One of the best experts on this subject based on the ideXlab platform.
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stochastic reverse Logistics Network design for waste of electrical and electronic equipment
Resources Conservation and Recycling, 2015Co-Authors: Berk Ayvaz, Bersam Bolat, Nezir AydinAbstract:Abstract In recent years, Reverse Logistics has received increasing attentions in supply chain management area. The reasons such as political, economic, green image and social responsibility etc. force firms to develop strategies to their current systems. The aim of this study is to propose a generic Reverse Logistics Network Design model under return quantity, sorting ratio (quality), and transportation cost uncertainties. We present a generic multi-echelon, multi-product and capacity constrained two stage stochastic programing model to take into consideration uncertainties in Reverse Logistics Network Design for a third party waste of electrical and electronic equipment recycling companies to maximize profit. We validated developed model by applying to a real world case study for waste of electrical and electronic equipment recycling firm in Turkey. Sample average approximation method was used to solve the model. Results show that the developed two stage stochastic programming model provides acceptable solutions to make efficient decisions under quantity, quality and transportation cost uncertainties.
Wen Bian - One of the best experts on this subject based on the ideXlab platform.
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The design of sustainable Logistics Network under uncertainty
International Journal of Production Economics, 2010Co-Authors: Der-horng Lee, Meng Dong, Wen BianAbstract:The design of sustainable Logistics Network has attracted growing attention with the stringent pressures from environmental and social requirements. This paper proposes a stochastic programming based approach to account for the design of sustainable Logistics Network under uncertainty. A solution approach integrating the sample average approximation scheme with an importance sampling strategy is developed. A case study involving a large-scale sustainable Logistics Network in Asia Pacific region is presented to demonstrate the significance of the developed stochastic model and the efficiency of the proposed solution approach.
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The Design of Sustainable Logistics Network Under Uncertainty
2007Co-Authors: Der-horng Lee, Meng Dong, Wen BianAbstract:The design of sustainable Logistics Network has attracted growing attention with the stringent pressures from environmental and social requirements. This paper proposes a stochastic programming based approach to account for the design of sustainable Logistics Network under uncertainty. A solution approach integrating the sample average approximation scheme with an importance sampling strategy is developed. A case study involving a large-scale sustainable Logistics Network in Asia Pacific Region is presented to demonstrate the significance of the developed stochastic model as well as the efficiency of the proposed solution approach.
Sibel A Alumur - One of the best experts on this subject based on the ideXlab platform.
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multi period reverse Logistics Network design
European Journal of Operational Research, 2012Co-Authors: Sibel A Alumur, Stefan Nickel, Francisco Saldanhadagama, Vedat VerterAbstract:The configuration of the reverse Logistics Network is a complex problem comprising the determination of the optimal sites and capacities of collection centers, inspection centers, remanufacturing facilities, and/or recycling plants. In this paper, we propose a profit maximization modeling framework for reverse Logistics Network design problems. We present a mixed-integer linear programming formulation that is flexible to incorporate most of the reverse Network structures plausible in practice. In order to consider the possibility of making future adjustments in the Network configuration to allow gradual changes in the Network structure and in the capacities of the facilities, we consider a multi-period setting. We propose a multi-commodity formulation and use a reverse bill of materials in order to capture component commonality among different products and to have the flexibility to incorporate all plausible means in tackling product returns. The proposed general framework is justified by a case study in the context of reverse Logistics Network design for washing machines and tumble dryers in Germany. We conduct extensive parametric and scenario analysis to illustrate the potential benefits of using a dynamic model as opposed to its static counterpart, and also to derive a number of managerial insights.
