TY - GEN
T1 - Customer behaviour modelling in the maximum capture model
AU - Ndiaye, M.
PY - 2009
Y1 - 2009
N2 - Competitive Location Analysis addresses the issue of optimally locating firms that compete for market shares. It is therefore important to consider the impact of costumers' behavior and the way they chose to patronize any given firm. Using facilities selections based on the Maximum Capture Model, we introduce three different scenarios to illustrate how assumptions on customers' choices may alter traditional solution approaches. We assume here that an open facility will attract not all costumers closer to him but a portion of it relatively to the Service Level (SL) available for its customers; the rest of them will choose to patronize a different facility according to shopping attitudes. A comparison between the different approaches is then proposed.
AB - Competitive Location Analysis addresses the issue of optimally locating firms that compete for market shares. It is therefore important to consider the impact of costumers' behavior and the way they chose to patronize any given firm. Using facilities selections based on the Maximum Capture Model, we introduce three different scenarios to illustrate how assumptions on customers' choices may alter traditional solution approaches. We assume here that an open facility will attract not all costumers closer to him but a portion of it relatively to the Service Level (SL) available for its customers; the rest of them will choose to patronize a different facility according to shopping attitudes. A comparison between the different approaches is then proposed.
KW - Competitive location
KW - Customer choice
KW - Maximum capture model
UR - https://www.scopus.com/pages/publications/77949528973
U2 - 10.1109/IEEM.2009.5373046
DO - 10.1109/IEEM.2009.5373046
M3 - Conference contribution
AN - SCOPUS:77949528973
SN - 9781424448708
T3 - IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 2285
EP - 2289
BT - IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
ER -