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A Goal Programming Model for Selection and Scheduling of Advertisements on Online News Media

Author

Listed:
  • Prerna Manik

    (Department of Operational Research, University of Delhi, Delhi, India)

  • Anshu Gupta

    (School of Business, Public Policy and Social Entrepreneurship, Ambedkar University, Delhi, India)

  • P. C. Jha

    (Department of Operational Research, University of Delhi, Delhi, India)

  • Kannan Govindan

    (Centre for Sustainable Engineering Operations Management, Department of Technology and Innovation, University of Southern Denmark, Denmark)

Abstract

Digital revolution has resulted in a paradigm shift in the field of marketing with online advertising becoming increasingly popular as it offers the reach, range, scale and interactivity to organizations to influence their target customers. Moreover, web advertisement is the primary revenue stream for several websites that provide free services to internet users. The website management team needs to do a lot of planning and optimally schedule various advertisements (ads) to maximize revenue, taking care of advertisers’ needs under system constraints. In this paper, we have considered the case of news websites that provide news to its viewers for free with ads as the primary source of their revenue. The considered news website consists of many webpages with different banners for advertisement. Each banner consists of different number of partitions and cost per partition varies for different rectangular banners. Many ads compete with each other for their placement on a webpage on a specific banner, based on partition requirement, at specific time interval(s). Here, we have formulated a mixed integer 0–1 linear programming advertisement scheduling problem to maximize the revenue over planning horizon divided into time intervals under various system and technical constraints. A case is presented to show the applicability of the model. Branch and bound integer programming and goal programming techniques have been used to solve the formulated problem.

Suggested Citation

  • Prerna Manik & Anshu Gupta & P. C. Jha & Kannan Govindan, 2016. "A Goal Programming Model for Selection and Scheduling of Advertisements on Online News Media," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(02), pages 1-41, April.
    • Handle: RePEc:wsi:apjorx:v:33:y:2016:i:02:n:s0217595916500123
    DOI: 10.1142/S0217595916500123
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    References listed on IDEAS

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    1. Patrali Chatterjee & Donna L. Hoffman & Thomas P. Novak, 2003. "Modeling the Clickstream: Implications for Web-Based Advertising Efforts," Marketing Science, INFORMS, vol. 22(4), pages 520-541, May.
    2. Kumar, Subodha & Sethi, Suresh P., 2009. "Dynamic pricing and advertising for web content providers," European Journal of Operational Research, Elsevier, vol. 197(3), pages 924-944, September.
    3. Syam Menon & Ali Amiri, 2004. "Scheduling Banner Advertisements on the Web," INFORMS Journal on Computing, INFORMS, vol. 16(1), pages 95-105, February.
    4. Kumar, Subodha & Jacob, Varghese S. & Sriskandarajah, Chelliah, 2006. "Scheduling advertisements on a web page to maximize revenue," European Journal of Operational Research, Elsevier, vol. 173(3), pages 1067-1089, September.
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    Cited by:

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