Processing, Please wait...

  • Publisher Home
  • Home
  • 🔙 Back
  • 📚 Journals
    • ⚙️ IJIEC - Industrial Engineering Computations
    • 🌐 IJDNS - Data and Network Science
    • 🧪 CCL - Current Chemistry Letters
    • 💹 AC - Accounting
    • 🎯 DSL - Decision Science Letters
    • 🚛 USCM - Uncertain Supply Chain Management
    • 🏗️ JPM - Journal of Project Management
    • 🏥 HE - Healthcare Engineering
    • 📈 SCI - Scientometrica
    • 🔩 ESM - Engineering Solid Mechanics
    • 🌿 JFS - Journal of Future Sustainability
    • 💼 MSL - Management Science Letters
  • 📝 Submit Article
  • 📊 Statistics
  • 📋 About
    • 📄 About Us
    • 📰 Blog
    • 📢 News
    • 📧 Contact
  • 📺 Tutorial
  • Search:
  • Advanced Search

Growing Science » Uncertain Supply Chain Management » An economic order quantity model for deteriorating products having stock dependent demand with trade credit period and preservation technology

⭐ Highly Cited Articles

  • Jaya Algorithm
  • Rao Algorithm
  • TLBO Algorithm
  • ChatGPT and Blended Learning

Journals

  • IJIEC (804)
  • IJDS (992)
  • DSL (722)
  • ESM (434)
  • CCL (544)
  • JPM (323)
  • AC (567)
  • JFS (101)
  • MSL (2653)
  • USCM (1104)
  • HE (49)
  • SCI (50)

USCM Volumes

    • ▼ Volume 15 (5)
      • Issue 1 (5)
    • ▼ Volume 14 (22)
      • Issue 1 (5)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (7)
    • ▼ Volume 13 (62)
      • Issue 1 (15)
      • Issue 2 (15)
      • Issue 3 (15)
      • Issue 4 (17)
    • ▼ Volume 12 (244)
      • Issue 1 (55)
      • Issue 2 (59)
      • Issue 3 (63)
      • Issue 4 (67)
    • ▼ Volume 11 (190)
      • Issue 1 (42)
      • Issue 2 (45)
      • Issue 3 (50)
      • Issue 4 (53)
    • ▼ Volume 10 (150)
      • Issue 1 (28)
      • Issue 2 (32)
      • Issue 3 (44)
      • Issue 4 (46)
    • ▼ Volume 9 (117)
      • Issue 1 (25)
      • Issue 2 (26)
      • Issue 3 (32)
      • Issue 4 (34)
    • ▼ Volume 8 (82)
      • Issue 1 (20)
      • Issue 2 (15)
      • Issue 3 (17)
      • Issue 4 (30)
    • ▼ Volume 7 (57)
      • Issue 1 (8)
      • Issue 2 (19)
      • Issue 3 (14)
      • Issue 4 (16)
    • ▼ Volume 6 (25)
      • Issue 1 (7)
      • Issue 2 (6)
      • Issue 3 (6)
      • Issue 4 (6)
    • ▼ Volume 5 (26)
      • Issue 1 (6)
      • Issue 2 (6)
      • Issue 3 (8)
      • Issue 4 (6)
    • ▼ Volume 4 (31)
      • Issue 1 (10)
      • Issue 2 (6)
      • Issue 3 (6)
      • Issue 4 (9)
    • ▼ Volume 3 (39)
      • Issue 1 (9)
      • Issue 2 (13)
      • Issue 3 (10)
      • Issue 4 (7)
    • ▼ Volume 2 (32)
      • Issue 1 (7)
      • Issue 2 (5)
      • Issue 3 (10)
      • Issue 4 (10)
    • ▼ Volume 1 (22)
      • Issue 1 (4)
      • Issue 2 (6)
      • Issue 3 (6)
      • Issue 4 (6)

🔑 Keywords

Supply chain management(168)
Jordan(167)
Vietnam(154)
Customer satisfaction(124)
Performance(116)
Supply chain(113)
Artificial intelligence(99)
Competitive advantage(98)
Service quality(98)
Tehran Stock Exchange(94)
SMEs(92)
Sustainability(91)
optimization(88)
TOPSIS(85)
Trust(84)
Financial performance(84)
Job satisfaction(81)
Knowledge Management(80)
Genetic Algorithm(80)
Social media(79)


» Show all keywords

✍️ Authors

Naser Azad(83)
Zeplin Jiwa Husada Tarigan(67)
Mohammad Reza Iravani(64)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(40)
Dmaithan Almajali(38)
Jumadil Saputra(36)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Barween Al Kurdi(32)
Sautma Ronni Basana(31)
Basrowi Basrowi(31)
Hassan Ghodrati(31)
Mohammad Khodaei Valahzaghard(30)
Haitham M. Alzoubi(30)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Prasadja Ricardianto(28)
Sulieman Ibraheem Shelash Al-Hawary(28)


» Show all authors

🌍 Countries

1. Algeria (52)
2. Angola (2)
3. Argentina (22)
4. Armenia (2)
5. Australia (52)
6. Austria (2)
7. Bahrain (26)
8. Bangladesh (58)
9. Belarus (4)
10. Belgium (3)
11. Benin (2)
12. Benin Republic (1)
13. Bhutan (1)
14. Bosnia and Herzegovina (1)
15. Botswana (8)
16. Brazil (40)
17. Brunei (1)
18. Bulgaria (1)
19. Burkina Faso (1)
20. Cameroon (1)
Total: 121 countries

Show all countries
Uncertain Supply Chain Management
ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print)
Quarterly Publication
Volume 4 Issue 1 pp. 29-42, 2016

An economic order quantity model for deteriorating products having stock dependent demand with trade credit period and preservation technology Pages 29-42 Right click to download the paper Download PDF

Authors: S. R. Singh, Deepa Khurana, Shilpy Tayal

📋 Author Affiliations:
S.R. Singh ORCID 1, D. Khurana2, S. Tayal1
1 Department of Mathematics, C.C.S. University, Meerut, India
2 Department of Mathematics, Banasthali University, Banasthali, Rajasthan, India
doi 10.5267/j.uscm.2015.8.001
Crossref 44 Source: CrossRef

🔑 Keywords: Deterioration, Partial backlogging, Permissible delay, Preservation technology, Stock dependent demand

Abstract: The objective of this study is to develop of an inventory policy for deteriorating items, in which demand for the products is stock dependent and the retailer invests in preservation technology to reduce the rate of product deterioration. In many real-life situations, for certain types of consumer goods, the consumption rate is sometimes influenced by the stock-level. It is usually observed that a large pile of goods on a shelf in a supermarket will lead the customer to buy more and then generate higher demand. The consumption rate may go up or down with the on-hand stock level. This paper is developed with the realistic conditions of demand, allowable credit period, partial backlogging and variable ordering cost. A solution procedure is given to find the optimal preservation technology cost and total cost of the system. A numerical example and sensitivity analysis are presented to illustrate the model.

How to cite this paper
APA: Singh, S., Khurana, D & Tayal, S. (2016). An economic order quantity model for deteriorating products having stock dependent demand with trade credit period and preservation technology. Uncertain Supply Chain Management, 4(1), 29-42.
Chicago/Turabian: Singh, S., Khurana, D & Tayal, S. 2016. "An economic order quantity model for deteriorating products having stock dependent demand with trade credit period and preservation technology." Uncertain Supply Chain Management 4, no. 1 (2016): 29-42.
AMA: Singh, S., Khurana, D & Tayal, S. An economic order quantity model for deteriorating products having stock dependent demand with trade credit period and preservation technology. Uncertain Supply Chain Management. 2016;4(1):29-42.

References
Bhunia, A.K., Maiti, M. (1997). A deterministic inventory replenishment problem for deteriorating items with time dependent demand and shortages for the finite time horizon, OPSEARCH, 34(1), 51–61.

Chang, C.T., Chen, Y.J., Tsai, T.R., & Wu, S.J. (2010). Inventory models with stock and price dependent demand rate for deteriorating items based on limited shelf space. Yugoslav Journal of Operation Research, 21(1), 55-69.

Chern, M. S., Yang, H. L., Teng, J. T., & Papachristos, S. (2008). Partial backlogging inventory lot-size models for deteriorating items with fluctuating demand under inflation. European Journal of Operational Research, 191(1), 127-141.

Goyal, A., Singh, S. R., & Chauhan, A. (2013). An EPQ model with stock dependent demand and time varying deterioration with shortages under inflationary environment, International Journal of Agricultural and Statistical Sciences, 9(1), 173-182.

Jaggi, C.K., Pareek, S., Khanna, A., & Sharma, R. (2015). Two-warehouse inventory model for deteriorating items with price sensitive demand and partially backlogged shortages under inflationary environment conditions. International Journal of Industrial Engineering Computation, 6(1), 59-80.

Kumar, N., & Singh S. R. (2009). Two warehouse inventory model with stock dependent demand for deteriorating items with shortages, The IUP Journal of Computational Mathematics, 2(3), 7-23.

Kumar, N., Singh, S. R., & Kumari, R. (2013). Learning effect on an inventory model with twolevel storage and partial backlogging under inflation, International Journal of Services and Operations Management, 16(1), 105-122.

Moon, I., Giri, B.C., & Ko, B. (2005). Economic order quantity models for ameliorating/deteriorating items under inflation and time discounting. European Journal of Operational Research, 162(3), 773–785.

Pattnaik, M. (2013). Optimization in an instantaneous economic order quantity (EOQ) model incorporated with promotional effort cost, variable ordering cost and units lost due to deterioration. Uncertain Supply Chain Management, 1(4), 57-66.

Shastri, A., Singh, S. R., Yadav, D., & Gupta S. (2014), Supply chain management for two level trade credit financing with selling price dependent demand under the effect of preservation technology, International Journal of Procurement Management, 7(6), 695-718.

Shukla, H. S., Shukla, V., & Yadav, S. K. (2013). EOQ model for deteriorating items with exponential demand rate and shortages. Uncertain Supply Chain Management, 1(2), 67-76.

Singh, C., & Singh, S. R. (2012). An EPQ model with power form stock dependent demand under inflationary environment using genetic algorithm. International Journal of Computer Applications, 48(15), 25-30.

Singh, N., Vaish, B., & Singh S. R. (2014). Analysis of three level supply chain of inventory with deterioration for multi items. International Journal of Industrial Engineering Computations, 5(3), 417-430.

Singh, S. R., & Rathore, H. (2014). An inventory model for deteriorating item with reliability consideration and trade credit. Pakistan Journal of Statistics and Operation Research, 10(3), 349-360.

Singh, S. R., & Sharma, S. (2014). Optimal trade-credit policy for perishable items deeming imperfect production and stock dependent demand. International Journal of Industrial Engineering Computations, 5(1), 151-168.

Singh, S. R., & Singh, C. (2008). Optimal ordering policy for decaying items with stock-dependent demand under inflation in a supply chain. International Review of Pure and Applied Mathematics, 3(2), 189-197.

Singh, S. R., Kumari, R., & Kumar, N. (2010). Replenishment policy for non-instantaneous deteriorating items with stock-dependent demand and partial back logging with two-storage facility under inflation. International Journal of Operations Research and Optimization, 1 (1), 161-179.

Singhal, S., & Singh, S. R. (2015). Modeling of an inventory system with multi variate demand under volume flexibility and learning. Uncertain Supply Chain Management, 3(2), 147-158.

Tayal, S., Singh, S. R., & Sharma, R. (2014). A multi item inventory model for deteriorating items with expiration date and allowable shortages, Indian Journal of Science and Technology, 7(4), 463-471.

Tayal, S., Singh, S. R., & Sharma, R. (2015). An integrated production inventory model for perishable products with trade credit period and investment in preservation technology. International Journal of Mathematics in Operational Research, Article ID 76334.

Tayal, S., Singh, S. R., & Sharma, R. (2014). An inventory model for deteriorating items with seasonal products and an option of an alternative market. Uncertain Supply Chain Management, 3(1), 69–86.

Tayal, S., Singh, S. R., Chauhan, A. & Sharma, R. (2014). A deteriorating production inventory problem with space restriction, Journal of Information & Optimization Sciences, 35(3), 203–229.

Tayal, S., Singh, S. R., Sharma, R., & Chauhan, A. (2014), Two echelon supply chain model for deteriorating items with effective investment in preservation technology, International Journal Mathematics in Operational Research, 6(1), 78-99.

Tayal, S., Singh, S. R., Sharma, R., & Singh A. P. (2015). An EPQ model for non-instantaneous deteriorating item with time dependent holding cost and exponential demand rate, International Journal of Operational Research, 23(2), 145-161.

Tyagi, A. P., Pandey, R. K., & Singh S. R. (2014). An optimal replenishment policy for non instantaneous deteriorating items with stock dependent demand and variable holding cost. International Journal of Operational Research, 21(4), 466-488.

Yang, H.L., Teng, J.T., & Chern, M.S. (2010), An inventory model under inflation for deteriorating items with stock-dependent consumption rate and partial backlogging shortages. International Journal of Production Economics, 123(1), 8-19.
  • 34
  • 1
  • 2
  • 3
  • 4
  • 5

📚 Journal: Uncertain Supply Chain Management | 📅 Year: 2016 | 📖 Volume: 4 | 📄 Issue: 1 | 👁️ Views: 3971 | 📊 Crossref: 44

Related Articles:
  • Modeling of an inventory system with multi variate demand under volume flexibility and learning
  • An inventory model for deteriorating items with seasonal products and an option of an alternative market
  • Supply chain production model with preservation technology under fuzzy environment
  • Optimal trade-credit policy for perishable items deeming imperfect production and stock dependent demand
  • Two-warehouse inventory model of deteriorating items with three-component demand rate and time-proportional backlogging rate in fuzzy environment

📝 Ready to share your research?

Uncertain Supply Chain Management is accepting new submissions for upcoming issues. Join our community of authors and publish your work with us.

✓ Open access
✓ Rigorous peer review
✓ Fast publication
📤 Submit Your Manuscript →

📖 Author Guidelines

® 2010-2026 GrowingScience.Com