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Resource Allocation Heuristics for Unknown Sales Response Functions with Additive Disturbances

Gahler, Daniel and Hruschka, Harald (2016) Resource Allocation Heuristics for Unknown Sales Response Functions with Additive Disturbances. Regensburger Diskussionsbeiträge zur Wirtschaftswissenschaft 488, Working Paper, Regensburg.

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Date of publication of this fulltext: 21 Nov 2016 13:04

Abstract

We develop an exploration-exploitation algorithm which solves the allocation of a fixed resource (e.g., a budget, a sales force size, etc.) to several units (e.g., sales districts, customer groups, etc.) with the objective to attain maximum sales. This algorithm does not require knowledge of the form of the sales response function and is also able cope with additive random ...

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Item type:Monograph (Working Paper)
Series of the University of Regensburg:Regensburger Diskussionsbeiträge zur Wirtschaftswissenschaft
Date:17 November 2016
Institutions:Business, Economics and Information Systems > Institut für Betriebswirtschaftslehre > Lehrstuhl für Marketing (Prof. Dr. Harald Hruschka)
Classification:
NotationType
M30Journal of Economics Literature Classification
C61Journal of Economics Literature Classification
C63Journal of Economics Literature Classification
Keywords:Marketing Resource Allocation; Exploration-Exploitation Algorithm; Monte Carlo Simulation; Optimization
Dewey Decimal Classification:300 Social sciences > 330 Economics
Status:Published
Refereed:No, this document will not be refereed
Created at the University of Regensburg:Yes
Item ID:34818
Owner only: item control page

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