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LOSIMOPU : logistics simulator on policy under uncertainty
Tsujii, Hiroshi; Saga, Ryosuke; Konzo, Takefumi; … - In: Global integrated supply chain systems, (pp. 200-216). 2006
Persistent link: https://www.econbiz.de/10003212735
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Weak signals in logistics in the context of the uncertainty phenomenon
Magruk, Andrzej - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 14 (2018) 3, pp. 305-314
Persistent link: https://www.econbiz.de/10012153399
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Special issue on uncertainty in logistics and transportation systems
Hewitt, Mike; Thomas, Barrett W. - In: Transportation science : a journal of the Institute for … 52 (2018) 1, pp. 1-2
Persistent link: https://www.econbiz.de/10011818195
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Special issue on uncertainty in logistics and transportation systems
2018
Persistent link: https://www.econbiz.de/10011818200
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Environmental uncertainty, specific assets, and opportunism in 3PL relationships : a transaction cost economics perspective
Huo, Baofeng; Ye, Yuxiao; Zhao, Xiande; Wei, Jiang; … - In: International journal of production economics 203 (2018), pp. 154-163
Persistent link: https://www.econbiz.de/10011900311
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A method for measuring and valuing transport time variability in logistics and cost benefit analysis
Andersson, Matts; Berglund, Moa; Flodén, Jonas; … - In: Research in transportation economics 66 (2017), pp. 59-69
Persistent link: https://www.econbiz.de/10011902817
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Robust optimisation model for the cold food chain logistics problem under uncertainty
Behzadi, Golnar; Sundarakani, Balan; Mardaneh, Elham - In: International journal of logistics economics and … 5 (2013) 3, pp. 167-179
Persistent link: https://www.econbiz.de/10010391191
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Locating backup facilities to enhance supply chain disaster resilience
Ratick, Samuel J.; Meacham, Brian; Aoyama, Yuko - In: Growth and change : a journal of urban and regional policy 39 (2008) 4, pp. 642-666
Persistent link: https://www.econbiz.de/10003791973
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Assessment of collaboration-based and non-collaboration-based logistics risks with plithogenic SWARA method
Ulutaş, Alptekin; Meidute-Kavaliauskiene, Ieva; Topal, … - In: Logistics 5 (2021) 4, pp. 1-14
Background: Uncertainty is the major source of hazards, and it is present in a wide range of business activities. Due to the high level of unpredictability in logistics operations, the logistics sector has traditionally operated in a high-risk environment. These risks have become considerably...
Persistent link: https://www.econbiz.de/10012671500
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Optimizing transport logistics under uncertainty with simheuristics : concepts, review and trends
Castaneda, Juliana; Ghorbani, Elnaz; Ammouriova, Majsa; … - In: Logistics 6 (2022) 3, pp. 1-15
approached with simulation techniques. However, simulation is not an optimization tool. Hence, it must be combined with … allows us to deal with large-scale instances in reasonable computation times. By adding a simulation layer to the …
Persistent link: https://www.econbiz.de/10013287775