A CLASS OF INTEGRATED LOGISTICS NETWORK MODEL UNDER RANDOM FUZZY ENVIRONMENT AND ITS APPLICATION TO CHINESE BEER COMPANY
DOI10.1142/S0218488509006285zbMath1178.90244OpenAlexW2128667012MaRDI QIDQ5851778
Publication date: 25 January 2010
Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0218488509006285
genetic algorithmexpected value operatorrandom fuzzy variableintegrated logisticschance-constrained operator
Transportation, logistics and supply chain management (90B06) Deterministic network models in operations research (90B10) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Case-oriented studies in operations research (90B90)
Cites Work
- Modeling reverse logistic tasks within closed-loop supply chains: an example from the automotive industry
- A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs
- Reverse logistics network design with stochastic lead times
- A generic stochastic model for supply-and-return network design
- An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty
- Discrete facility location with nonlinear diseconomies in fixed costs
- Quantitative models for reverse logistics: A review
- The return plant location problem: Modelling and resolution
- A two-level network for recycling sand: A case study
- The design of reverse distribution networks: Models and solution procedures
- Random fuzzy dependent-chance programming and its hybrid intelligent algorithm
- A stochastic approach to a case study for product recovery network design
- A bi-objective reverse logistics network analysis for post-sale service
- Chance-Constrained Programming
- ON INEQUALITIES AND CRITICAL VALUES OF FUZZY RANDOM VARIABLES
- Expected Value Operator of Random Fuzzy Variable and Random Fuzzy Expected Value Models
- Network design techniques using adapted genetic algorithms
This page was built for publication: A CLASS OF INTEGRATED LOGISTICS NETWORK MODEL UNDER RANDOM FUZZY ENVIRONMENT AND ITS APPLICATION TO CHINESE BEER COMPANY