Design of a reliable hierarchical location-allocation model under disruptions for health service networks: A two-stage robust approach

2017 ◽  
Vol 109 ◽  
pp. 130-150 ◽  
Author(s):  
Naeme Zarrinpoor ◽  
Mohammad Saber Fallahnezhad ◽  
Mir Saman Pishvaee
Keyword(s):  
Health Service ◽  
Service Networks ◽  
Two Stage ◽  
Allocation Model ◽  
Robust Approach ◽  
Location Allocation ◽  
Hierarchical Location

An Uncertain Location-Allocation Model

2011 ◽  
Vol 204-210 ◽  
pp. 449-452 ◽  
Author(s):  
Si Bo Ding
Keyword(s):  
Differential Evolution Algorithm ◽  
Strong Impact ◽  
Service Networks ◽  
Allocation Model ◽  
Hybrid Intelligent Algorithm ◽  
Location Allocation ◽  
Proposed Model ◽  
Evolution Algorithm ◽  
Service Call

In service networks, the location of servers and allocation of demand nodes to them have a strong impact on the congestion at each server. The previous efforts in this area have concentrated on enhancing the reliability and quality of service with a probabilistic and fuzzy orientation. This paper considers the uncertain nature of such services and utilizes uncertainty theory to develop an uncertain queuing maximal covering location-allocation model. Our model considers one type of service call, one type of server and includes one constraint on the quality of queue length. To solve the proposed model, we design a hybrid intelligent algorithm which integrates 99-method and differential evolution algorithm. Finally, a numerical example is performed to show the application of the model and the algorithm.

scholarly journals Solving a Real-World Urban Postal Service System Redesign Problem

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Hao Yu ◽  
Xu Sun ◽  
Wei Deng Solvang ◽  
Gilbert Laporte
Keyword(s):  
Real World ◽  
Service System ◽  
Postal Service ◽  
Service Networks ◽  
Two Stage ◽  
Location Allocation ◽  
Decision Making Problem ◽  
Postal Services ◽  
Complex Decision Making ◽  
Complex Decision

Due to recent technological advancements, more diversified customer demand, and increasingly harder competition, traditional postal service systems have experienced significant changes all over the world. In Norway, through a strategic reform called post-in-shop, undertaken in 2013, most postal services are now provided at postal service counters located in retailer stores in order to improve accessibility, operational efficiency, and cost-effectiveness. This has led to a complex decision-making problem for the redesign of urban postal service networks across the country. In this paper, a two-stage method is proposed to solve a real-world urban postal service network redesign problem. First, two location models are employed to determine the optimal locations of postal service counters. In the second stage, a simulation model is built to evaluate the urban postal service system with different location and demand allocation plans under a realistic and stochastic environment. Among other insights, our results show that the proposed two-stage method can be used to effectively improve the accessibility of postal service networks by making optimal location-allocation decisions.

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