Internet Data Analysis for Evaluation of Optimal Location of New Facilities

Oleshchenko, Liubov; Bilohub, Daria; Yurchyshyn, Vasyl

doi:10.1007/978-3-319-97885-7_28

Cited by 2 publications

(1 citation statement)

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“…In the last years, real-time or distances are collected using GIS Data with tools like Google Maps , which can improve the parameter estimation against standard Euclidean distance calculation. Some examples are the studies conducted by Oleshchenko et al (2019) and Sabarish et al (2018). Nevertheless, in these tools like Google Maps , the distance estimation is not available for all towns or municipalities.…”

Section: (Ii) Network Structurementioning

confidence: 99%

Evaluation of a facility location for a food assistance supply chain. The case of Bienestarina in Colombia

et al. 2020

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The evaluation of the strategic supply chain configuration is considered one of the strategic logistics decisions, especially in food assistance supply chains focused on generating better nutritional conditions in vulnerable populations. In Colombia, there is a social program called Bienestarina, which aims to promote food and nutritional security in a vulnerable population. Although the government supports the program for improving nutritional support, there are currently inconsistencies in freight flows, lack of coverage in some areas, and delivery delays. Therefore, this work aims to evaluate the current configuration of the supply chain and propose improvements related to the facility location. Such advances would enable the increase in the efficacy of the network and the reduction of malnutrition in the country. For this purpose, a mixed-integer mathematical programming model is presented, which considers the weighted distance criterion for different demand scenarios and supports the location-allocation decision in a social assistance supply chain. The current network configuration was compared with the optimal proposed structure. The comparisons show highly potential improvements in freight flow allocation, suggests several variations in the existing warehouses emplacement, and generates public policy implications to reduce the logistic cost in the system, prioritizing in turn the demand covering.

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Section: (Ii) Network Structurementioning

confidence: 99%

Evaluation of a facility location for a food assistance supply chain. The case of Bienestarina in Colombia

et al. 2020

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Theory of Huff's model derived by the occurrence probability maximizing entropy model

Kurita

2022

Toshi keikaku rombunshu

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In this paper, production-constrained gravity model for urban trip pattern, that is Huff's model, is formulated according to the entropy maximizing framework. Some characteristics useful to understand the structure of the model were found by a precise observation on an analytical aspect on it. A new method for parameter estimation for Huff's model is also proposed in our study: the distance decay parameter for the Huff's model can be estimated just by solving a non-linear equation which is derived by the constrained entropy maximization problem, and the uniqueness of the estimator has been verified mathematically.

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Internet Data Analysis for Evaluation of Optimal Location of New Facilities

Cited by 2 publications

References 0 publications

Evaluation of a facility location for a food assistance supply chain. The case of Bienestarina in Colombia

Evaluation of a facility location for a food assistance supply chain. The case of Bienestarina in Colombia

Theory of Huff's model derived by the occurrence probability maximizing entropy model

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