TY - GEN
T1 - On location design model of beverage vending machines
T2 - 47th International Conference on Computers and Industrial Engineering: How Digital Platforms and Industrial Engineering are Transforming Industry and Services, CIE 2017
AU - Sato, Tetsuya
AU - Katayama, Hiroshi
N1 - Funding Information:
This work was partially supported by JSPS KAKENHI Grant Number JP16K17199 and Waseda University Grant for Special Research Projects (Project Number: 2017S-092).
PY - 2017
Y1 - 2017
N2 - Vending machine, whose share in the total sales exceeds 30% among beverage industries, is an important sales channel in Japan. However, in recent years, the sales amounts in some cases are insufficient for paying their maintenance and distribution costs, due to the decline by expanding sales of other channels, e.g. convenience stores and super markets. For this reason, effective ways to stimulate potential demand are required among the industries that manage beverage vending machines. By contrast, installation and removal costs of vending machines are greatly lower than other general retails; therefore, to improve profitability by reallocation of vending machines is relatively easy. Nevertheless, sales amounts of plural vending machines depend on others mutually. Thus, only installation of new vending machines or reallocation of worse seller to high demand area are ineffective to improve profitability. Furthermore, reallocation of vending machines occurs the change of distribution cost. For solving these problem, this paper proposed the exploration model of the optimum locations in the objective commercial area for maximizing profitability with consideration of the interaction between sales amounts of each vending machine based on Huff's purchasing behavioral and distribution design models. Moreover, its performance is analyzed by simulation experiments with assistance of genetic algorithm. From the result, total sales amount after reallocation based on the proposed model is slightly increased and the profit of the inter distribution network is improved 1.3% from the initial locations, despite the distribution cost is increased. Thus, it is demonstrated that the proposed allocation model of beverage vending machines functionates effectively.
AB - Vending machine, whose share in the total sales exceeds 30% among beverage industries, is an important sales channel in Japan. However, in recent years, the sales amounts in some cases are insufficient for paying their maintenance and distribution costs, due to the decline by expanding sales of other channels, e.g. convenience stores and super markets. For this reason, effective ways to stimulate potential demand are required among the industries that manage beverage vending machines. By contrast, installation and removal costs of vending machines are greatly lower than other general retails; therefore, to improve profitability by reallocation of vending machines is relatively easy. Nevertheless, sales amounts of plural vending machines depend on others mutually. Thus, only installation of new vending machines or reallocation of worse seller to high demand area are ineffective to improve profitability. Furthermore, reallocation of vending machines occurs the change of distribution cost. For solving these problem, this paper proposed the exploration model of the optimum locations in the objective commercial area for maximizing profitability with consideration of the interaction between sales amounts of each vending machine based on Huff's purchasing behavioral and distribution design models. Moreover, its performance is analyzed by simulation experiments with assistance of genetic algorithm. From the result, total sales amount after reallocation based on the proposed model is slightly increased and the profit of the inter distribution network is improved 1.3% from the initial locations, despite the distribution cost is increased. Thus, it is demonstrated that the proposed allocation model of beverage vending machines functionates effectively.
KW - Demand Stimulation
KW - Distribution Route Planning
KW - Genetic Algorithm
KW - Huff Model
KW - Locational Optimization
KW - Simultaneous Design
KW - Vending Machine
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M3 - Conference contribution
AN - SCOPUS:85040905918
T3 - Proceedings of International Conference on Computers and Industrial Engineering, CIE
BT - Proceedings - 47th International Conference on Computers and Industrial Engineering
A2 - Dessouky, Mohamed
A2 - Grilo, Antonio
A2 - Cruz-Machado, Virgilio
PB - Curran Associates Inc.
Y2 - 11 October 2017 through 13 October 2017
ER -