Abstract
This paper formulates a linear programming model for determining an optimal promotional calendar for retail seasonal planning. The objective is to maximize the total season profit, subject to given resource constraints and seasonal variations, by selecting from a finite set of possible promotion policies that can be used each week.
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References
D. Achabal, S. McIntyre, and S. Smith, 1990, Maximizing Profits from Department Store Promotions, Journal of Retailing, 66, 383 - 407.
R. C. Blattberg and S. A. Neslin, 1990, Sales Promotion: Concepts, Methods and Strategies, Prentice-Hall, Englewood Cliffs, NJ.
F. Glover and E. Woolsey, 1974, Converting the 0-1 Polynomial Programming Problem to a 0-1 Linear Program, Operations Research, 22, 180 - 200.
D. M. Hanssens, L. Parsons, and R. Schultz, 1990, Market Response Models: Econometric and Time Series Analysis, Kluwer Academic Publishers, Boston, MA.
K. Kalyanam, 1996, Pricing Decisions Under Demand Uncertainty: A Bayesian Mixture Model Approach, Marketing Science, 15, 207 - 221.
S. A. Smith, D. Achabal, and S. McIntyre, 1994, A Two Stage Sales Forecasting Procedure Using Discounted Least Squares, Journal of Marketing Research, 31, 44 - 56.
S. A. Smith, R. Collins, and S. H. McIntyre, 1996, A Discrete Optimization Model for Seasonal Merchandise Planning, Retail Workbench Working Paper W-RW96-01, Santa Clara University.
L. J. Watters, 1967 Reduction of Integer Polynomial Programming Problems to Zero-One Linear Programming Problems, Operations Research, 15, 1171 - 1194.
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© 1998 Springer Science+Business Media Dordrecht
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Smith, S.A. (1998). Optimizing a Retail Promotional Calendar by Mixed Integer, Linear Programming. In: Yu, G. (eds) Industrial Applications of Combinatorial Optimization. Applied Optimization, vol 16. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2876-7_8
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DOI: https://doi.org/10.1007/978-1-4757-2876-7_8
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4797-0
Online ISBN: 978-1-4757-2876-7
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