Design optimization of resource combination for collaborative logistics network under uncertainty |
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Affiliation: | 1. Public University of Navarra, Institute of Smart Cities, Campus de Arrosadia, Pamplona 31006, Spain;2. University of Natural Resources and Life Sciences, Vienna, Institute of Production and Logistics, Feistmantelstraße 4, Vienna 1180, Austria;1. Department of Business and Management Science, NHH Norwegian School of Economics, Helleveien 30, Bergen 5045, Norway;2. Département de génie mécanique, Université Laval, Québec, QC G1V0A6, Canada;3. The Forestry Research Institute of Sweden, Uppsala Science Park, Uppsala SE-75183, Sweden |
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Abstract: | Collaborative logistics networks (CLNs) are considered to be an effective organizational form for business cooperation that provides high stability and low cost. One common key issue regarding CLN resource combination is the network design optimization problem under discrete uncertainty (DU-CLNDOP). Operational environment changes and information uncertainty in network designs, due to partner selection, resource constrains and network robustness, must be effectively controlled from the system perspective. Therefore, a general two-stage quantitative framework that enables decision makers to select the optimal network design scheme for CLNs under uncertainty is proposed in this paper. Phase 1 calculates the simulation result of each hypothetical scenario of CLN resource combination using the expected value model with robust constraints. Phase 2 selects the optimal network design scheme for DU-CLNDOP using the orthogonal experiment design method. The validity of the model and method are verified via an illustrative example. |
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Keywords: | Collaborative logistics network Resource combination Orthogonal experimental design Decision optimization Uncertainty |
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