Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21555
Title: Evolutionary location and pricing strategies in competitive hierarchical distribution systems : a spatial agent-based model
Authors: He, Z
Cheng, TCE 
Dong, J
Wang, S
Issue Date: 2014
Source: IEEE transactions on systems, man, and cybernetics. Systems, 2014, v. 44, no. 7, 6678265, p. 822-833
Abstract: Facing horizontal channel competition in a hierarchical distribution system, independent intermediaries such as wholesalers and retailers are keen to find the optimal location and pricing strategies that enable them to adapt to the increasingly competitive business environment. To help market intermediaries to address their challenges, we propose in this paper a spatial agent-based model (SAM), grounded in complex adaptive systems, which comprises four types of agents, namely the world, the manufacturer, firms, and consumers. We derive the firms' optimal behaviors in response to competition by evaluating the evolutionary location and pricing strategies using a genetic algorithm. We observe that a pyramid structure and the bullwhip effect in demand emerge from the evolutionary behavior of the SAM. We also find that buyers' searching ability enhanced by information technology has a significant effect on the degree of competition in a hierarchical distribution system. In addition, we find that firms that distribute elastic goods are likely to lower their prices to attract more buyers and move closer to their suppliers to save transport costs. In the case that the product demand is inelastic, intermediaries will move as close to their buyers as possible because they can maximize their profits in the SAM.
Keywords: Agent-based modeling
Competitive location problem
Complex adaptive system
Hierarchical distribution system
Location and pricing
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on systems, man, and cybernetics. Systems 
ISSN: 2168-2216
EISSN: 2168-2232
DOI: 10.1109/TSMC.2013.2290506
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