IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v207y2023icp556-574.html
   My bibliography  Save this article

A generalized payment policy for deteriorating items when demand depends on price, stock, and advertisement under carbon tax regulations

Author

Listed:
  • Chaudhari, Urmila
  • Bhadoriya, Amrita
  • Jani, Mrudul Y.
  • Sarkar, Biswajit

Abstract

The down-cash-credit method is quite common in today’s real-world commercial transactions. In light of existing legislation to decrease carbon pollution, this research aims to investigate how down-cash-credit payments impact business strategies for perishable items in the context of the most commonly utilized carbon tax legislation. Specifically, this article demonstrates an inventory system from the buyer’s point of view in which (a) the demand curve is determined by the price, displayed volume, and frequency of advertisement, (b) the product is constantly deteriorating, (c) the supplier provides one of the frequently utilized down-cash-credit payment methods, and (d) the buyer gets taxed at a consistent rate for each ton of carbon emissions. Moreover, the goal of pharmaceutical stores is to optimize overall profit by simultaneously determining order cycle, price, and frequency of advertisements. Finally, the theoretical results are validated by solving two numerical illustrations and conducting a sensitivity analysis of the main factors resulting from the following managerial implications: (a) credit pay provides the minimum sales price, but the maximum profit margin of any financing method, (b) an increase in scale demand raises selling price and length of the cycle while increasing overall profit significantly.

Suggested Citation

  • Chaudhari, Urmila & Bhadoriya, Amrita & Jani, Mrudul Y. & Sarkar, Biswajit, 2023. "A generalized payment policy for deteriorating items when demand depends on price, stock, and advertisement under carbon tax regulations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 207(C), pages 556-574.
  • Handle: RePEc:eee:matcom:v:207:y:2023:i:c:p:556-574
    DOI: 10.1016/j.matcom.2022.12.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037847542200502X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2022.12.015?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. Li, Ruihai & Yang, Hui-Ling & Shi, Yan & Teng, Jinn-Tsair & Lai, Kuei-Kuei, 2021. "EOQ-based pricing and customer credit decisions under general supplier payments," European Journal of Operational Research, Elsevier, vol. 289(2), pages 652-665.
    2. Mongia, Nandita & Bhatia, Ramesh & Sathaye, Jayant & Mongia, Puran, 1991. "Cost of reducing CO2 emissions from India : Imperatives for international transfer of resources and technologies," Energy Policy, Elsevier, vol. 19(10), pages 978-986, December.
    3. Ilkyeong Moon & Won Young Yun & Biswajit Sarkar, 2022. "Effects of variable setup cost, reliability, and production costs under controlled carbon emissions in a reliable production system," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 16(4), pages 371-397.
    4. Dye, Chung-Yuan & Yang, Chih-Te, 2016. "Optimal dynamic pricing and preservation technology investment for deteriorating products with reference price effects," Omega, Elsevier, vol. 62(C), pages 52-67.
    5. Chen, Jianxin & Zhang, Tonghua & Zhou, Yong-wu, 2021. "Stochastic sensitivity and dynamical complexity of newsvendor models subject to trade credit," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 181(C), pages 471-486.
    6. Wang, Chuanxu & Huang, Rongbing & Wei, Qianli, 2015. "Integrated pricing and lot-sizing decision in a two-echelon supply chain with a finite production rate," International Journal of Production Economics, Elsevier, vol. 161(C), pages 44-53.
    7. Bakker, Monique & Riezebos, Jan & Teunter, Ruud H., 2012. "Review of inventory systems with deterioration since 2001," European Journal of Operational Research, Elsevier, vol. 221(2), pages 275-284.
    8. Seifert, Daniel & Seifert, Ralf W. & Protopappa-Sieke, Margarita, 2013. "A review of trade credit literature: Opportunities for research in operations," European Journal of Operational Research, Elsevier, vol. 231(2), pages 245-256.
    9. Shi, Yan & Zhang, Zhiyong & Chen, Sheng-Chih & Cárdenas-Barrón, Leopoldo Eduardo & Skouri, Konstantina, 2020. "Optimal replenishment decisions for perishable products under cash, advance, and credit payments considering carbon tax regulations," International Journal of Production Economics, Elsevier, vol. 223(C).
    10. Teng, Jinn-Tsair, 2009. "Optimal ordering policies for a retailer who offers distinct trade credits to its good and bad credit customers," International Journal of Production Economics, Elsevier, vol. 119(2), pages 415-423, June.
    11. Chen, Sheng-Chih & Teng, Jinn-Tsair & Skouri, Konstantina, 2014. "Economic production quantity models for deteriorating items with up-stream full trade credit and down-stream partial trade credit," International Journal of Production Economics, Elsevier, vol. 155(C), pages 302-309.
    12. Feng, Lin & Wang, Wan-Chih & Teng, Jinn-Tsair & Cárdenas-Barrón, Leopoldo Eduardo, 2022. "Pricing and lot-sizing decision for fresh goods when demand depends on unit price, displaying stocks and product age under generalized payments," European Journal of Operational Research, Elsevier, vol. 296(3), pages 940-952.
    13. Xiang, Di & Lawley, Chad, 2019. "The impact of British Columbia's carbon tax on residential natural gas consumption," Energy Economics, Elsevier, vol. 80(C), pages 206-218.
    14. Taleizadeh, Ata Allah, 2014. "An EOQ model with partial backordering and advance payments for an evaporating item," International Journal of Production Economics, Elsevier, vol. 155(C), pages 185-193.
    15. Mittal, Mandeep & Sarkar, Biswajit, 2023. "Stochastic behavior of exchange rate on an international supply chain under random energy price," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 205(C), pages 232-250.
    16. Wang, Limin & Song, Qiankun, 2020. "Pricing policies for dual-channel supply chain with green investment and sales effort under uncertain demand," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 171(C), pages 79-93.
    17. Ali Akbar Shaikh & Abu Hashan Md Mashud & Md. Sharif Uddin & Md. Al-Amin Khan, 2017. "Non-instantaneous deterioration inventory model with price and stock dependent demand for fully backlogged shortages under inflation," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 3(2), pages 152-164.
    18. Vandana, & Sharma, B.K., 2016. "An EOQ model for retailers partial permissible delay in payment linked to order quantity with shortages," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 125(C), pages 99-112.
    19. Li, Ruihai & Liu, YuPing & Teng, Jinn-Tsair & Tsao, Yu-Chung, 2019. "Optimal pricing, lot-sizing and backordering decisions when a seller demands an advance-cash-credit payment scheme," European Journal of Operational Research, Elsevier, vol. 278(1), pages 283-295.
    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. Rini & Priyamvada, 2023. "COVID-19 challenge: optimizing investment in service and promotional effort with pricing strategy for sustainability in new normal," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1218-1229, September.
    2. Yiwei Wu & Hongyu Zhang & Shuaian Wang & Lu Zhen, 2023. "Mathematical Optimization of Carbon Storage and Transport Problem for Carbon Capture, Use, and Storage Chain," Mathematics, MDPI, vol. 11(12), pages 1-14, June.
    3. Zheng Liu & Wenzhuo Sun, 2023. "Study on Low-Carbon Technology Investment Strategies for High Energy-Consuming Enterprises under the Health Co-Benefits of Carbon Emission Reduction," Sustainability, MDPI, vol. 15(11), pages 1-22, May.
    4. Davoudi, Zahra & Seifbarghy, Mehdi & Sarkar, Mitali & Sarkar, Biswajit, 2023. "Effect of bargaining on pricing and retailing under a green supply chain management," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    5. Saha, Subrata & Sarkar, Biswajit & Sarkar, Mitali, 2023. "Application of improved meta-heuristic algorithms for green preservation technology management to optimize dynamical investments and replenishment strategies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 209(C), pages 426-450.
    6. Taleizadeh, Ata Allah & Moshtagh, Mohammad Sadegh & Vahedi-Nouri, Behdin & Sarkar, Biswajit, 2023. "New products or remanufactured products: Which is consumer-friendly under a closed-loop multi-level supply chain?," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

    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. Feng, Lin & Wang, Wan-Chih & Teng, Jinn-Tsair & Cárdenas-Barrón, Leopoldo Eduardo, 2022. "Pricing and lot-sizing decision for fresh goods when demand depends on unit price, displaying stocks and product age under generalized payments," European Journal of Operational Research, Elsevier, vol. 296(3), pages 940-952.
    2. Yan Shi & Zhiyong Zhang & Sunil Tiwari & Zhiwen Tao, 2022. "Retailer's optimal strategy for a perishable product with increasing demand under various payment schemes," Annals of Operations Research, Springer, vol. 315(2), pages 899-929, August.
    3. Ata Allah Taleizadeh & Sara Tavassoli & Arijit Bhattacharya, 2020. "Inventory ordering policies for mixed sale of products under inspection policy, multiple prepayment, partial trade credit, payments linked to order quantity and full backordering," Annals of Operations Research, Springer, vol. 287(1), pages 403-437, April.
    4. Ruihai Li & Jinn-Tsair Teng & Chun-Tao Chang, 2021. "Lot-sizing and pricing decisions for perishable products under three-echelon supply chains when demand depends on price and stock-age," Annals of Operations Research, Springer, vol. 307(1), pages 303-328, December.
    5. Li, Ruihai & Skouri, Konstantina & Teng, Jinn-Tsair & Yang, Wen-Goang, 2018. "Seller's optimal replenishment policy and payment term among advance, cash, and credit payments," International Journal of Production Economics, Elsevier, vol. 197(C), pages 35-42.
    6. Wu, Jiang & Chan, Ya-Lan, 2014. "Lot-sizing policies for deteriorating items with expiration dates and partial trade credit to credit-risk customers," International Journal of Production Economics, Elsevier, vol. 155(C), pages 292-301.
    7. Li, Ruihai & Liu, YuPing & Teng, Jinn-Tsair & Tsao, Yu-Chung, 2019. "Optimal pricing, lot-sizing and backordering decisions when a seller demands an advance-cash-credit payment scheme," European Journal of Operational Research, Elsevier, vol. 278(1), pages 283-295.
    8. Li, Ruihai & Chan, Ya-Lan & Chang, Chun-Tao & Cárdenas-Barrón, Leopoldo Eduardo, 2017. "Pricing and lot-sizing policies for perishable products with advance-cash-credit payments by a discounted cash-flow analysis," International Journal of Production Economics, Elsevier, vol. 193(C), pages 578-589.
    9. Shi, Yan & Zhang, Zhiyong & Tiwari, Sunil & Yang, Lei, 2023. "Pricing and replenishment strategy for a perishable product under various payment schemes and cap-and-trade regulation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    10. Li, Ruihai & Yang, Hui-Ling & Shi, Yan & Teng, Jinn-Tsair & Lai, Kuei-Kuei, 2021. "EOQ-based pricing and customer credit decisions under general supplier payments," European Journal of Operational Research, Elsevier, vol. 289(2), pages 652-665.
    11. Mu, Xiuqing & Kang, Kai & Zhang, Jing, 2022. "Dual-channel supply chain coordination considering credit sales competition," Applied Mathematics and Computation, Elsevier, vol. 434(C).
    12. Ruihai Li & Jinn-Tsair Teng & Yingfei Zheng, 2019. "Optimal credit term, order quantity and selling price for perishable products when demand depends on selling price, expiration date, and credit period," Annals of Operations Research, Springer, vol. 280(1), pages 377-405, September.
    13. Janssen, Larissa & Claus, Thorsten & Sauer, Jürgen, 2016. "Literature review of deteriorating inventory models by key topics from 2012 to 2015," International Journal of Production Economics, Elsevier, vol. 182(C), pages 86-112.
    14. Mohsen Lashgari & Ata Allah Taleizadeh & Abbas Ahmadi, 2016. "Partial up-stream advanced payment and partial down-stream delayed payment in a three-level supply chain," Annals of Operations Research, Springer, vol. 238(1), pages 329-354, March.
    15. Shi, Yan & Zhang, Zhiyong & Chen, Sheng-Chih & Cárdenas-Barrón, Leopoldo Eduardo & Skouri, Konstantina, 2020. "Optimal replenishment decisions for perishable products under cash, advance, and credit payments considering carbon tax regulations," International Journal of Production Economics, Elsevier, vol. 223(C).
    16. Wu, Jiang & Ouyang, Liang-Yuh & Cárdenas-Barrón, Leopoldo Eduardo & Goyal, Suresh Kumar, 2014. "Optimal credit period and lot size for deteriorating items with expiration dates under two-level trade credit financing," European Journal of Operational Research, Elsevier, vol. 237(3), pages 898-908.
    17. Xu, Xinhan & Chen, Xiangfeng & Jia, Fu & Brown, Steve & Gong, Yu & Xu, Yifan, 2018. "Supply chain finance: A systematic literature review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 204(C), pages 160-173.
    18. Raj, Praveen Vijaya Raj Pushpa & Nagarajan, Bagathsingh & Schoenherr, Tobias & Ramkumar, M., 2023. "A comparative investigation of a seller’s disaster payment period policy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    19. Feng, Lin & Chan, Ya-Lan, 2019. "Joint pricing and production decisions for new products with learning curve effects under upstream and downstream trade credits," European Journal of Operational Research, Elsevier, vol. 272(3), pages 905-913.
    20. Chang, Chun-Tao & Ouyang, Liang-Yuh & Teng, Jinn-Tsair & Lai, Kuei-Kuei & Cárdenas-Barrón, Leopoldo Eduardo, 2019. "Manufacturer's pricing and lot-sizing decisions for perishable goods under various payment terms by a discounted cash flow analysis," International Journal of Production Economics, Elsevier, vol. 218(C), pages 83-95.

    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:matcom:v:207:y:2023:i:c:p:556-574. 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.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.