scholarly journals Locating and Designing a Biorefinery Supply Chain under Uncertainty in Navarre: A Stochastic Facility Location Problem Case

2015 ◽  
Vol 10 ◽  
pp. 704-713 ◽  
Author(s):  
Adrián Serrano ◽  
Javier Faulin ◽  
Pablo Astiz ◽  
Mercedes Sánchez ◽  
Javier Belloso
Keyword(s):  
Supply Chain ◽  
Facility Location ◽  
Location Problem ◽  
Facility Location Problem ◽  
Problem Case

scholarly journals Designing a Reliable and Congested Multi-Modal Facility Location Problem for Biofuel Supply Chain Network

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1682 ◽  
Author(s):  
Sushil Poudel ◽  
Mohammad Marufuzzaman ◽  
Md Quddus ◽  
Sudipta Chowdhury ◽  
Linkan Bian ◽  
...  
Keyword(s):  
Supply Chain ◽  
Facility Location ◽  
Location Problem ◽  
Facility Location Problem ◽  
Supply Chain Network ◽  
Biofuel Supply Chain

scholarly journals A New Model for Reliable Facility Location Problem under Random Disruptions

2010 ◽  
pp. 90-93
Author(s):  
M. Rajaei ◽  
S.M. Moattarhusseini ◽  
F. Parvaresh
Keyword(s):  
Supply Chain ◽  
Facility Location ◽  
Location Problem ◽  
Facility Location Problem ◽  
Fixed Charge ◽  
Minimax Regret ◽  
Computational Results ◽  
Worst Case ◽  
New Model ◽  
Reliable Facility Location

Supply chains are subject to various types of disruptions. In this paper, we analyze the problem of locating facilities in a supply chain under random disruptions on facilities. We present a new reliable location model called ‘the α-reliable Minimax regret’ which we apply it to the capacitated reliable fixed charge location problem. The model minimizes the worst-case regret with respect to a subset of worst-case scenarios whose collective probability of occurrence is at least α. The model is solved by CPLEX. Computational Results show it is efficient.

scholarly journals Design of a sustainable woody biomass supply chain considering facility location problem

2018 ◽  
Vol 84 (860) ◽  
pp. 17-00565-17-00565
Author(s):  
Takaaki FURUBAYASHI ◽  
Yuji SATO ◽  
Toshihiko NAKATA ◽  
Hidekazu KASAI
Keyword(s):  
Supply Chain ◽  
Facility Location ◽  
Location Problem ◽  
Facility Location Problem ◽  
Woody Biomass ◽  
Biomass Supply

scholarly journals An Improved Voronoi-Diagram-Based Algorithm for Continuous Facility Location Problem under Disruptions

2018 ◽  
Vol 10 (9) ◽  
pp. 3099 ◽  
Author(s):  
Jiguang Wang ◽  
Yucai Wu
Keyword(s):  
Supply Chain ◽  
Facility Location ◽  
Voronoi Diagram ◽  
Location Problem ◽  
Facility Location Problem ◽  
Research Problem ◽  
Future Research ◽  
Total Cost ◽  
Disruption Risk ◽  
The Impact

The classical location models implicitly assume that the facilities, once built, will always operate as planned. However, some of the facilities may become unavailable from time to time due to disruptions which highlight the urgent need to effectively manage supply chain disruptions in spite of their low probability of occurrence. Therefore, it is critical to take account of disruptions when designing a resilient supply chain network so that it performs well as a whole even after an accidental disruption. In this paper, a stylized facility location problem is considered in a continuous plane which is solved through an improved Voronoi-diagram-based algorithm under disruption risks. The research problem is to minimize the total cost in normal and failure scenarios. Furthermore, the impact of misestimating the disruption probability is also investigated. The results numerically show that although the estimated disruption probability has a significant impact on the facilities configuration, it has a minor impact on the total quantity of facilities and the expected total cost. Therefore, this paper proposes that the decision-maker should moderately overestimate disruption risk based on the “pessimistic principle”. Finally, the conclusion considers managerial insights and proposes potential areas for future research.

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