Abstract
This paper proposes a dynamic advertising model for deteriorating items, and the demand is influenced by goodwill and inventory level. The goodwill affected by advertising effort has a positive effect on demand while the inventory level has a negative effect on demand, which is named as inverse inventory sensitive demand effect. We assume that the deteriorating rate could be influenced by the inventory level and we determine the deteriorating rate formulation based on this assumption. The optimal advertising effort and inventory level are obtained by solving the optimization problem based on Pontryagin’s maximum principle. Furthermore, numerical studies are provided and some managerial insights are presented.
Similar content being viewed by others
References
Adida, E. & Perakis, G. (2007). A nonlinear continuous time optimal control model of dynamic pricing and inventory control with no backorders. Naval Research Logistics (NRL), 54(7): 767–795.
Annadurai, K. & Uthayakumar, R. (2015). Decaying inventory model with stock-dependent demand and shortages under two-level trade credit. International Journal of Advanced Manufacturing Technology, 77(1-4): 525–543.
Arslan, H. & Kachani, S. (2011). Dynamic pricing under consumer reference-price effects. Wiley Encyclopedia of Operations Research and Management Science:1–17.
Bakker, M., Riezebos, J. & Teunter, R. H. (2012). Review of inventory systems with deterioration since 2001. European Journal of Operational Research, 221(2): 275–284.
Chernonog, T., Avinadav, T. & Ben-Zvi, T. (2015). Pricing and sales-effort investment under bi-criteria in a supply chain of virtual products involving risk. European Journal of Operational Research, 246(2): 471–475.
De Giovanni, P. (2011). Quality improvement vs. advertising support: which strategy works better for a manufacturer? European Journal of Operational Research, 208(2): 119–130.
Erickson, G. M. (2012). Transfer pricing in a dynamic marketing-operations interface. European Journal of Operational Research, 216(2): 326–333.
Feng, L., Zhang, J. & Tang, W. (2015). A joint dynamic pricing and advertising model of perishable products. Journal of the Operational Research Society, 66(8): 1341–1351.
Giri, B. C. & Bardhan, S. (2015). A vendor-buyer JELS model with stock-dependent demand and consigned inventory under buyer’s space constraint. Operational Research, 15(1): 79–93.
Goyal, S. & Giri, B. C. (2001). Recent trends in modeling of deteriorating inventory. European Journal of Operational Research, 134(1): 1–16.
He, X., Krishnamoorthy, A., Prasad, A. & Sethi, S. P. (2011). Retail competition and cooperative advertising. Operations Research Letters, 39(1): 11–16.
Helmes, K. L. & Schlosser, R. (2013). Dynamic advertising and pricing with constant demand elasticities. Journal of Economic Dynamics and Control, 37(12): 2814–2832.
Jørgensen, S., Taboubi, S. & Zaccour, G. (2001). Cooperative advertising in a marketing channel. Journal of Optimization Theory and Applications, 110(1): 145–158.
Kumar, S. & Sethi, S. P. (2009). Dynamic pricing and advertising for web content providers. European Journal of Operational Research, 197(3): 924–944.
Li, T., Zhao, X. & Xie, J. (2015). Inventory management for dual sales channels with inventory-level-dependent demand. Journal of the Operational Research Society, 66(3): 488–499.
Liu, W., Tang, W., Feng, L. & Zhang, J. (2014). Dynamic pricing under temperature control for perishable foods. Journal of Systems Science and Systems Engineering, 23(3): 252–265.
Nahmias, S. (1982). Perishable inventory theory: a review. Operations Research, 30(4): 680–708.
Nasiry, J. & Popescu, I. (2011). Dynamic pricing with loss-averse consumers and peak-end anchoring. Operations Research, 59(6): 1361–1368.
Nerlove, M. & Arrow, K. J. (1962). Optimal advertising policy under dynamic conditions. Economica, 29(114), 129–142.
Raafat, F. (1991). Survey of literature on continuously deteriorating inventory models. Journal of the Operational Research Society, 27–37.
Sayadi, M. K. & Makui, A. (2014). Optimal advertising decisions for promoting retail and online channels in a dynamic framework. International Transactions in Operational Research, 21(5): 777–796.
Sethi, S. P., Prasad, A. & He, X. (2008). Optimal advertising and pricing in a new-product adoption model. Journal of Optimization Theory and Applications, 139(2): 351–360.
Sethi, S. P. & Thompson, G. L. (2000). Optimal Control Theory: Applications to Management Science and Economics. Dordrecht, The Netherlands: Kluwer.
Tomás-Barberán, F. A. & Espin, J. C. (2001). Phenolic compounds and related enzymes as determinants of quality in fruits and vegetables. Journal of the Science of Food and Agriculture, 81(9): 853–876.
Tridib Mazumdar, S.P. & Sinha, I. (2005). Reference price research: review and propositions. Journal of Marketing, 69(4): 84–102.
Wang, J., Wang, S. & Min, J. (2015). Coordinating two-period ordering and advertising policies in a dynamic market with stochastic demand. International Journal of Systems Science, 46(4): 702–719.
Xue, M., Tang, W. & Zhang, J. (2014). Optimal dynamic pricing for deteriorating items with reference-price effects. International Journal of Systems Science, 1–10.
Yang, N. & Zhang, R. (2014). Dynamic pricing and inventory management under inventory-dependent demand. Operations Research, 62(5): 1077–1094.
Yue, J., Austin, J., Huang, Z. & Chen, B. (2013). Pricing and advertisement in a manufacturer-retailer supply chain. European Journal of Operational Research, 231(2): 492–502.
Zanoni, S. & Jaber, M. Y. (2015). A two-level supply chain with consignment stock agreement and stock-dependent demand. International Journal of Production Research, 53(12): 3561–3572.
Zhang, J., Chiang, W. Y. K. & Liang, L. (2014). Strategic pricing with reference effects in a competitive supply chain. Omega, 44: 126–135.
Zhang, J., Gou, Q., Liang, L. & Huang, Z. (2013). Supply chain coordination through cooperative advertising with reference price effect. Omega, 41(2): 345–353.
Zhang, J., Liu, G., Zhang, Q. & Bai, Z. (2015). Coordinating a supply chain for deteriorating items with a revenue sharing and cooperative investment contract. Omega, 56: 37–49.
Zhang, Q., Zhang, J. & Tang, W. (2015). A dynamic advertising model with reference price effect. Rairo-Operations Research, 49(4): 669–688.
Acknowledgements
The authors would like to express their appreciation to the referees for their careful reading of the original paper and valuable comments, and thank for their helpful suggestions that substantially improved the quality of this work.
Author information
Authors and Affiliations
Corresponding author
Additional information
Minghui Xu is a Ph.D. candidate at Management School of Jinan University in China. He received his B.S. degree from Wuhan Polytechnic University in 2011 and M.S. degree from Guangxi University of Technology in 2014. His research interests include supply chain management, pricing and revenue management, and inventory control.
Xiaode Zuo is currently a professor at Management School of Jinan University in China. He received the B.S. degree, M.S. degree and Ph.D. degree, in 1989, 1992 and 1995, respectively, all from Tianjin University in China. His research interests lie in systems optimization and management decision, e.g., production planning optimization, logistics, inventory management and project management. He has published several research papers in the journals like Journal of Systems Engineering and Electronics, Journal of Systems Science and Information, Journal of Intelligent Information Management Systems and Technologies, Systems Engineering - Theory & Practice, Journal of Industrial Engineering and Engineering Management, etc.
Rights and permissions
About this article
Cite this article
Xu, M., Zuo, X. An optimal dynamic advertising model with inverse inventory sensitive demand effect for deteriorating items. J. Syst. Sci. Syst. Eng. 26, 593–608 (2017). https://doi.org/10.1007/s11518-016-5316-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11518-016-5316-2