IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v31y2013icp783-788.html
   My bibliography  Save this article

Sales team's initiatives and stock sensitive demand — A production control policy

Author

Listed:
  • Sana, Shib Sankar

Abstract

The present article deals with an optimal production control policy for stock and sales team's initiatives sensitive demand. The capacity of the production quantity and stock of produced items are state variable and the effort of sales-team/agent is a control variable in this model. Finally, a net profit function by trading off procurement cost, cost for effort of sales-team, cost for capacity of production and sales price is maximized by Pontryagin's Maximal Principle. The local and global stability analysis of the dynamical systems is well performed. The proposed model is justified by proper numerical illustration.

Suggested Citation

  • Sana, Shib Sankar, 2013. "Sales team's initiatives and stock sensitive demand — A production control policy," Economic Modelling, Elsevier, vol. 31(C), pages 783-788.
  • Handle: RePEc:eee:ecmode:v:31:y:2013:i:c:p:783-788
    DOI: 10.1016/j.econmod.2013.01.026
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999313000291
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econmod.2013.01.026?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nair, Suresh K. & Tarasewich, Peter, 2003. "A model and solution method for multi-period sales promotion design," European Journal of Operational Research, Elsevier, vol. 150(3), pages 672-687, November.
    2. Harish Krishnan & Roman Kapuscinski & David A. Butz, 2004. "Coordinating Contracts for Decentralized Supply Chains with Retailer Promotional Effort," Management Science, INFORMS, vol. 50(1), pages 48-63, January.
    3. Sana, Shib Sankar, 2010. "A production-inventory model in an imperfect production process," European Journal of Operational Research, Elsevier, vol. 200(2), pages 451-464, January.
    4. Goyal, Suresh Kumar & Chang, Chun-Tao, 2009. "Optimal ordering and transfer policy for an inventory with stock dependent demand," European Journal of Operational Research, Elsevier, vol. 196(1), pages 177-185, July.
    5. Soni, Hardik & Shah, Nita H., 2008. "Optimal ordering policy for stock-dependent demand under progressive payment scheme," European Journal of Operational Research, Elsevier, vol. 184(1), pages 91-100, January.
    6. Cárdenas-Barrón, Leopoldo Eduardo, 2007. "Optimizing inventory decisions in a multi-stage multi-customer supply chain: A note," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(5), pages 647-654, September.
    7. Riddalls, C. E. & Bennett, S., 2001. "The optimal control of batched production and its effect on demand amplification," International Journal of Production Economics, Elsevier, vol. 72(2), pages 159-168, July.
    8. Chun-Tao Chang, 2004. "Inventory Models With Stock-Dependent Demand And Nonlinear Holding Costs For Deteriorating Items," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 435-446.
    9. Xie, Jinxing & Wei, Jerry C., 2009. "Coordinating advertising and pricing in a manufacturer-retailer channel," European Journal of Operational Research, Elsevier, vol. 197(2), pages 785-791, September.
    10. R. Hedjar & M. Bounkhel & L. Tadj, 2004. "Predictive control of periodic-review production inventory systems with deteriorating items," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 12(1), pages 193-208, June.
    11. Sarkar, Mitali & Sarkar, Biswajit, 2013. "An economic manufacturing quantity model with probabilistic deterioration in a production system," Economic Modelling, Elsevier, vol. 31(C), pages 245-252.
    12. Szmerekovsky, Joseph G. & Zhang, Jiang, 2009. "Pricing and two-tier advertising with one manufacturer and one retailer," European Journal of Operational Research, Elsevier, vol. 192(3), pages 904-917, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tien-Yu Lin & Kuo-Lung Hou, 2015. "An imperfect quality economic order quantity with advanced receiving," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(2), pages 535-551, July.
    2. M. Palanivel & R. Uthayakumar, 2017. "A production-inventory model with promotional effort, variable production cost and probabilistic deterioration," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 290-300, January.
    3. Tal Avinadav & Tatyana Chernonog & Yael Lahav & Uriel Spiegel, 2017. "Dynamic pricing and promotion expenditures in an EOQ model of perishable products," Annals of Operations Research, Springer, vol. 248(1), pages 75-91, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cárdenas-Barrón, Leopoldo Eduardo & Sana, Shib Sankar, 2014. "A production-inventory model for a two-echelon supply chain when demand is dependent on sales teams׳ initiatives," International Journal of Production Economics, Elsevier, vol. 155(C), pages 249-258.
    2. De, Sujit Kumar & Sana, Shib Sankar, 2013. "Fuzzy order quantity inventory model with fuzzy shortage quantity and fuzzy promotional index," Economic Modelling, Elsevier, vol. 31(C), pages 351-358.
    3. Tsao, Yu-Chung, 2010. "Managing multi-echelon multi-item channels with trade allowances under credit period," International Journal of Production Economics, Elsevier, vol. 127(2), pages 226-237, October.
    4. Sana, Shib Sankar, 2013. "Optimal contract strategies for two stage supply chain," Economic Modelling, Elsevier, vol. 30(C), pages 253-260.
    5. Guchhait, Partha & Kumar Maiti, Manas & Maiti, Manoranjan, 2013. "Production-inventory models for a damageable item with variable demands and inventory costs in an imperfect production process," International Journal of Production Economics, Elsevier, vol. 144(1), pages 180-188.
    6. R. Sundara rajan & R. Uthayakumar, 2017. "Comprehensive solution procedure for optimizing replenishment policies of instantaneous deteriorating items with stock-dependent demand under partial trade credit linked to order quantity," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1343-1373, November.
    7. Ma, Peng, 2021. "Optimal generic and brand advertising efforts in a decentralized supply chain considering customer surplus," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    8. Dridi, Dhouha & Ben Youssef, Slim, 2015. "A Game Theoretic Framework for Competing/Cooperating Retailers under price and advertising dependent demand," MPRA Paper 63317, University Library of Munich, Germany.
    9. Kunter, Marcus, 2012. "Coordination via cost and revenue sharing in manufacturer–retailer channels," European Journal of Operational Research, Elsevier, vol. 216(2), pages 477-486.
    10. Tinglong Zhang & Xiongfei Guo & Jin Hu & Ningning Wang, 2020. "Cooperative advertising models under different channel power structure," Annals of Operations Research, Springer, vol. 291(1), pages 1103-1125, August.
    11. Wang, Wan-Chih & Teng, Jinn-Tsair & Lou, Kuo-Ren, 2014. "Seller’s optimal credit period and cycle time in a supply chain for deteriorating items with maximum lifetime," European Journal of Operational Research, Elsevier, vol. 232(2), pages 315-321.
    12. Soroush Safarzadeh, 2023. "A game theoretic approach for pricing and advertising of an integrated product family in a duopoly," Journal of Combinatorial Optimization, Springer, vol. 45(5), pages 1-26, July.
    13. Zhou, Yong-Wu & Li, Jicai & Zhong, Yuanguang, 2018. "Cooperative advertising and ordering policies in a two-echelon supply chain with risk-averse agents," Omega, Elsevier, vol. 75(C), pages 97-117.
    14. Xu, Xiaoyan & Choi, Tsan-Ming & Chung, Sai-Ho & Guo, Shu, 2023. "Collaborative-commerce in supply chains: A review and classification of analytical models," International Journal of Production Economics, Elsevier, vol. 263(C).
    15. Sarkar, Mitali & Sarkar, Biswajit, 2013. "An economic manufacturing quantity model with probabilistic deterioration in a production system," Economic Modelling, Elsevier, vol. 31(C), pages 245-252.
    16. Saeed Alaei & Masoud Behravesh & Nayere Karegar, 2014. "Analysis of Production - Inventory Decisions in a Decentralized Supply Chain," Prague Economic Papers, Prague University of Economics and Business, vol. 2014(2), pages 198-216.
    17. Juan Zhang & Qinglong Gou & Susan Li & Zhimin Huang, 2017. "Cooperative Advertising with Accrual Rate in a Dynamic Supply Chain," Dynamic Games and Applications, Springer, vol. 7(1), pages 112-130, March.
    18. Zhou, Yong-Wu & Zhong, Yuanguang & Li, Jicai, 2012. "An uncooperative order model for items with trade credit, inventory-dependent demand and limited displayed-shelf space," European Journal of Operational Research, Elsevier, vol. 223(1), pages 76-85.
    19. Nouri, Mina & Hosseini-Motlagh, Seyyed-Mahdi & Nematollahi, Mohammadreza & Sarker, Bhaba R., 2018. "Coordinating manufacturer's innovation and retailer's promotion and replenishment using a compensation-based wholesale price contract," International Journal of Production Economics, Elsevier, vol. 198(C), pages 11-24.
    20. M. Palanivel & R. Uthayakumar, 2017. "A production-inventory model with promotional effort, variable production cost and probabilistic deterioration," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 290-300, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecmode:v:31:y:2013:i:c:p:783-788. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.