Strategic Online Facility Location

2016 ◽  
pp. 593-607
Author(s):  
Maximilian Drees ◽  
Björn Feldkord ◽  
Alexander Skopalik
Keyword(s):  
Facility Location

NUMERICAL STUDY OF PRODUCTION, LOGISTICS AND FACILITY LOCATION PLANNING FOR OIL PALM IN BIO-DIESEL PRODUCTION FOR THAILAND

2013 ◽  
Author(s):  
Artchapong Hassametto ◽  
Preerawadee Chaiboontun ◽  
Chattraporn Prajuabwan ◽  
Laphatrada Khammuang ◽  
Aussadavut Dumrongsiri
Keyword(s):  
Facility Location ◽  
Oil Palm ◽  
Numerical Study ◽  
Location Planning ◽  
Production Logistics ◽  
Diesel Production

Bicriteria Models of Vehicles Recycling Network Facility Location

2012 ◽  
Vol 24 (2) ◽  
Author(s):  
Agnieszka Merkisz-Guranowska
Keyword(s):  
Facility Location

Facility Location A Theoretical Approach for Flood Relief

2017 ◽  
Vol 5 (11) ◽  
pp. 83-89
Author(s):  
Vairaprakash Gurusamy ◽  
◽  
◽  
K. Nandhini
Keyword(s):  
Facility Location ◽  
Theoretical Approach

A METHOD OF THE FACILITY LOCATION BY GENETIC ALGORITHM

1996 ◽  
Vol 61 (484) ◽  
pp. 129-135 ◽  
Author(s):  
Yoshitsugu AOKI ◽  
Naoto MURAOKA
Keyword(s):  
Genetic Algorithm ◽  
Facility Location

Facility Location with Joint Disruptions

2020 ◽  
Author(s):  
Vishwakant Malladi ◽  
Kumar Muthuraman
Keyword(s):  
Facility Location

Bounds on the partition dimension of convex polytopes

2020 ◽  
Vol 23 ◽  
Author(s):  
Jia-Bao Liu ◽  
Muhammad Faisal Nadeem ◽  
Mohammad Azeem
Keyword(s):  
Combinatorial Optimization ◽  
Computer Science ◽  
Facility Location ◽  
Robot Navigation ◽  
Convex Polytopes ◽  
Pharmaceutical Chemistry ◽  
Resolving Set ◽  
Minimum Number ◽  
Partition Dimension ◽  
Np Problem

Aims and Objective: The idea of partition and resolving sets plays an important role in various areas of engineering, chemistry and computer science such as robot navigation, facility location, pharmaceutical chemistry, combinatorial optimization, networking, and mastermind game. Method: In a graph to obtain the exact location of a required vertex which is unique from all the vertices, several vertices are selected this is called resolving set and its generalization is called resolving partition, where selected vertices are in the form of subsets. Minimum number of partitions of the vertices into sets is called partition dimension. Results: It was proved that determining the partition dimension a graph is nondeterministic polynomial time (NP) problem. In this article, we find the partition dimension of convex polytopes and provide their bounds. Conclusion: The major contribution of this article is that, due to the complexity of computing the exact partition dimension we provides the bounds and show that all the graphs discussed in results have partition dimension either less or equals to 4, but it cannot been be greater than 4.

scholarly journals Facility location selection for the furniture industry of Bangladesh: Comparative AHP and FAHP analysis

2021 ◽  
Vol 13 ◽  
pp. 184797902110308
Author(s):  
Md Nazmul Hasan Suman ◽  
Nagib MD Sarfaraj ◽  
Fuad Ahmed Chyon ◽  
Md Rafiul Islsm Fahim
Keyword(s):  
Facility Location ◽  
Raw Materials ◽  
Fuzzy Ahp ◽  
Facility Location Problem ◽  
Decision Makers ◽  
Energy Availability ◽  
Furniture Industry ◽  
Data Set ◽  
Location Selection ◽  
Hierarchy Process

The furniture industry is growing to a great extent in Bangladesh. Many market researchers believe that the industry has enormous potentiality. However, the expansion of this industry may face complexities within a few years. Due to the wrong selection of facilities, many organizations failed to earn profit as expected. It also needs a large investment. Selecting a suitable place for a new facility is going to be the biggest question of upcoming years. This study aimed to analyze Bangladesh’s furniture industry, address the facility location problem, and provide a constructive solution to the decision-makers. In this study, seven criteria were considered: availability of raw materials, transportations, skilled labor, proximity to customers, energy availability, economic zone facility, and environmental impact, and five ideal locations or alternatives: Khulna, Chattogram, Bogura, Gazipur, and Manikganj. Thirty-four experts took part in the survey to analyze the significant criteria for selecting a furniture industry’s facility location and alternatives or potential locations for the facility. The Analytical Hierarchy Process (AHP) and Fuzzy AHP methods (FAHP), two MCDM techniques, were used to analyze the data set. A sensitivity analysis was done to determine the model’s robustness for any critical changes in the real world. The result showed that ‘energy availability is the most significant criterion to select a facility location for the furniture industry, where it got 35.1% criteria weight in AHP and 33.9% in FAHP. ‘Chattogram’ was selected as the most suitable place containing 33.74% normalized weight in AHP and 33.81% normalized weight in FAHP.

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