We study a duopoly market in which customers are heterogeneous in their sensitivity to price and ... more We study a duopoly market in which customers are heterogeneous in their sensitivity to price and leadtime, and can be segmented as price sensitive or time sensitive. Each rm tailors (dierentiates) its products/services for the two customer classes solely based on price and the corresponding guaranteed leadtime. Our objective is to understand how competition aects price and leadtime dierentiation of the rms since the extant literature reports very contradicting results. Our results suggest that when rms use dedicated resources to serve the two market segments, pure price competition always tends to decrease individual prices as well as price dierentiation, irrespective of the market behavior. Further, the eect of competition is more pronounced when customers
We study a duopoly market in which customers are heterogeneous in their sensitivity to price and ... more We study a duopoly market in which customers are heterogeneous in their sensitivity to price and leadtime, and can be segmented as price sensitive or time sensitive. Each rm tailors (dierentiates) its products/services for the two customer classes solely based on price and the corresponding guaranteed leadtime. Our objective is to understand how competition aects price and leadtime dierentiation of the rms since the extant literature reports very contradicting results. Our results suggest that when rms use dedicated resources to serve the two market segments, pure price competition always tends to decrease individual prices as well as price dierentiation, irrespective of the market behavior. Further, the eect of competition is more pronounced when customers
Optimization of charging infrastructure for electric buses is critical for the transition from co... more Optimization of charging infrastructure for electric buses is critical for the transition from conventional buses to electric buses since chargers, especially for chargers since they constitute almost two-thirds of the total charging infrastructure costs. Different modeling frameworks to optimize the charging capacity are developed separately for the depot charging and opportunity charging and tested for the transit network of Navi Mumbai Municipal Transport (India). The models determine the optimal number and capacity of chargers such that the existing bus operational schedules are maintained – a prime requirement of bus operators. Since the route coverage per bus per day would require en-route charging, the opportunity charging model determines the optimal locations for installing these chargers. A sensitivity analysis is also conducted to analyze the effects of the specific energy consumption of the buses and their rated battery capacity on charger selection. These models are first of their kind to be used for electric bus adoption in India. Keywords: Electric bus, charging infrastructure, charging schedule, cost optimization modeling, public transit networks
We study a nonlinear 0-1 knapsack problem with capacity selection decision, as it arises as a par... more We study a nonlinear 0-1 knapsack problem with capacity selection decision, as it arises as a part of facility location/service system design problems with congestion. The capacity selection decision gives rise to a non-convex objective function. We present two cutting plane based solution approaches: one based on Generalized Benders decomposition based, and the other based on a reformulation of the problem using additional auxiliary variables, followed by outer linearization of a resulting simple concave func- tion in the constraint.
We study a duopoly market in which customers are heterogeneous in their sensitivity to price and ... more We study a duopoly market in which customers are heterogeneous in their sensitivity to price and leadtime, and can be segmented as price sensitive or time sensitive. Each rm tailors (dierentiates) its products/services for the two customer classes solely based on price and the corresponding guaranteed leadtime. Our objective is to understand how competition aects price and leadtime dierentiation of the rms since the extant literature reports very contradicting results. Our results suggest that when rms use dedicated resources to serve the two market segments, pure price competition always tends to decrease individual prices as well as price dierentiation, irrespective of the market behavior. Further, the eect of competition is more pronounced when customers
We study a duopoly market in which customers are heterogeneous in their sensitivity to price and ... more We study a duopoly market in which customers are heterogeneous in their sensitivity to price and leadtime, and can be segmented as price sensitive or time sensitive. Each rm tailors (dierentiates) its products/services for the two customer classes solely based on price and the corresponding guaranteed leadtime. Our objective is to understand how competition aects price and leadtime dierentiation of the rms since the extant literature reports very contradicting results. Our results suggest that when rms use dedicated resources to serve the two market segments, pure price competition always tends to decrease individual prices as well as price dierentiation, irrespective of the market behavior. Further, the eect of competition is more pronounced when customers
Optimization of charging infrastructure for electric buses is critical for the transition from co... more Optimization of charging infrastructure for electric buses is critical for the transition from conventional buses to electric buses since chargers, especially for chargers since they constitute almost two-thirds of the total charging infrastructure costs. Different modeling frameworks to optimize the charging capacity are developed separately for the depot charging and opportunity charging and tested for the transit network of Navi Mumbai Municipal Transport (India). The models determine the optimal number and capacity of chargers such that the existing bus operational schedules are maintained – a prime requirement of bus operators. Since the route coverage per bus per day would require en-route charging, the opportunity charging model determines the optimal locations for installing these chargers. A sensitivity analysis is also conducted to analyze the effects of the specific energy consumption of the buses and their rated battery capacity on charger selection. These models are first of their kind to be used for electric bus adoption in India. Keywords: Electric bus, charging infrastructure, charging schedule, cost optimization modeling, public transit networks
We study a nonlinear 0-1 knapsack problem with capacity selection decision, as it arises as a par... more We study a nonlinear 0-1 knapsack problem with capacity selection decision, as it arises as a part of facility location/service system design problems with congestion. The capacity selection decision gives rise to a non-convex objective function. We present two cutting plane based solution approaches: one based on Generalized Benders decomposition based, and the other based on a reformulation of the problem using additional auxiliary variables, followed by outer linearization of a resulting simple concave func- tion in the constraint.
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