9 research outputs found
Stochastic optimization models for a single-sink transportation problem
Single-sink transportation problem, Stochastic programming, Scenario trees,
A simulation-based approach for risk assessment of facility layout designs under stochastic product demands
A Hybrid Genetic Algorithm for Solving Single-Stage Fixed-Charge Transportation Problems
A Dynamic Slope Scaling Procedure for the Fixed-Charge Cost Multi-Commodity Network Flow Problem
Targeted metabolomics analysis reveals the association between maternal folic acid supplementation and fatty acids and amino acids profiles in rat pups
Applications of ionizing radiation for the control of postharvest diseases in fresh produce: recent advances
A hybrid CS-SA intelligent approach to solve uncertain dynamic facility layout problems considering dependency of demands
A review of intelligent approaches for designing dynamic and robust layouts in flexible manufacturing systems
Facility layout problem is associated with the arrangement of facilities in a plant. It is a critical issue in the early stages of designing a manufacturing system because it affects the total manufacturing cost significantly. Dynamic and robust layouts are flexible enough to cope with fluctuations and uncertainties in product demands in volatile environment of flexible manufacturing systems. Since the facility layout is a hard combinatorial optimization problem, intelligent approaches are the most appropriate methods for solving the large size of this problem in reasonable computational time. In this paper, first of all, dynamic and robust layouts are surveyed. After a quick look of different mathematical models, including quadratic assignment, quadratic set covering, mixed integer programming, and graph theoretic models, the various solution methods especially intelligent approaches along with their advantages and disadvantages are surveyed. Finally, after review of hybrid algorithms, the conclusion of this paper is reported