Efficiency analysis for stochastic dynamic facility layout problem using meta‐heuristic, data envelopment analysis and machine learning

2019 ◽  
Vol 36 (1) ◽  
pp. 172-202 ◽  
Author(s):  
Akash Tayal ◽  
Utku Kose ◽  
Arun Solanki ◽  
Anand Nayyar ◽  
José Antonio Marmolejo Saucedo
Keyword(s):  
Machine Learning ◽  
Data Envelopment Analysis ◽  
Facility Layout ◽  
Efficiency Analysis ◽  
Stochastic Dynamic ◽  
Data Envelopment ◽  
Layout Problem ◽  
Facility Layout Problem ◽  
Dynamic Facility Layout Problem

scholarly journals An Improved Genetic Algorithm Based Robust Approach for Stochastic Dynamic Facility Layout Problem

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Yunfang Peng ◽  
Tian Zeng ◽  
Lingzhi Fan ◽  
Yajuan Han ◽  
Beixin Xia
Keyword(s):  
Genetic Algorithm ◽  
Demand Uncertainty ◽  
Facility Layout ◽  
Search Space ◽  
Adaptive Genetic Algorithm ◽  
Stochastic Dynamic ◽  
Layout Problem ◽  
Facility Layout Problem ◽  
Robust Approach ◽  
Dynamic Facility Layout Problem

This paper deals with stochastic dynamic facility layout problem under demand uncertainty in terms of material flow between facilities. A robust approach suggests a robust layout in each period as the most frequent one falling within a prespecified percentage of the optimal solution for multiple scenarios. Mont Carlo simulation method is used to randomly generate different scenarios. A mathematical model is established to describe the dynamic facility layout problem with the consideration of transport device assignment. As a solution procedure for the proposed model, an improved adaptive genetic algorithm with population initialization strategy is developed to reduce the search space and improve the solving efficiency. Different sized instances are compared with Particle Swarm Optimization (PSO) algorithm to verify the effectiveness of the proposed genetic algorithm. The experiments calculating the cost deviation ratio under different fluctuation level show the good performance of the robust layout compared to the expected layout.

scholarly journals Formulating and solving sustainable stochastic dynamic facility layout problem: a key to sustainable operations

2016 ◽  
Vol 253 (1) ◽  
pp. 621-655 ◽  
Author(s):  
Akash Tayal ◽  
Angappa Gunasekaran ◽  
Surya Prakash Singh ◽  
Rameshwar Dubey ◽  
Thanos Papadopoulos
Keyword(s):  
Facility Layout ◽  
Stochastic Dynamic ◽  
Layout Problem ◽  
Sustainable Operations ◽  
Facility Layout Problem ◽  
Dynamic Facility Layout Problem
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