Processing, Please wait...

  • Publisher Home
  • Home
  • ๐Ÿ”™ Back
  • ๐Ÿ“š Journals
    • โš™๏ธ IJIEC - Industrial Engineering Computations
    • ๐ŸŒ IJDNS - Data and Network Science
    • ๐Ÿงช CCL - Current Chemistry Letters
    • ๐Ÿ’น AC - Accounting
    • ๐ŸŽฏ DSL - Decision Science Letters
    • ๐Ÿš› USCM - Uncertain Supply Chain Management
    • ๐Ÿ—๏ธ JPM - Journal of Project Management
    • ๐Ÿฅ HE - Healthcare Engineering
    • ๐Ÿ“ˆ SCI - Scientometrica
    • ๐Ÿ”ฉ ESM - Engineering Solid Mechanics
    • ๐ŸŒฟ JFS - Journal of Future Sustainability
    • ๐Ÿ’ผ MSL - Management Science Letters
  • ๐Ÿ“ Submit Article
  • ๐Ÿ“Š Statistics
  • ๐Ÿ“‹ About
    • ๐Ÿ“„ About Us
    • ๐Ÿ“ฐ Blog
    • ๐Ÿ“ข News
    • ๐Ÿ“ง Contact
  • ๐Ÿ“บ Tutorial
  • Search:
  • Advanced Search

Growing Science » Authors » Babak Yousefi Yegane

โญ 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)

๐Ÿ”‘ 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

โœ๏ธ 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

๐ŸŒ 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
Sort articles by: ๐Ÿ“– Volume | ๐Ÿ“… Date | โญ Most Rates | ๐Ÿ‘๏ธ Most Views | ๐Ÿš€ Rising Stars | ๐Ÿ”— Citations (Scopus) | ๐Ÿ”ฅ Hot Papers
1.

Inventory control with deteriorating items: A state-of-the-art literature review Pages 179-198 Right click to download the paper Download PDF

Authors: Narges Khanlarzade, Babak Yousefi Yegane, Isa Nakhai Kamalabadi, Hiwa Farughi

doi 10.5267/j.ijiec.2013.11.003

๐Ÿ”‘ Keywords: Deteriorating items, Inventory control, Multi-echelon supply chain, One-echelon supply chain

Abstract:
The present study reviews different studies on inventory control of deteriorating items in chain supply published over the period 1963- 2013. The study investigates supply chain of the items in terms of various perspectives. Finally, the summary of the studies is shown in two tables for one-echelon and multi-echelon supply chain including the main information and assumptions of each paper. In the mentioned tables, the papers were classified in terms of the type of demand rate, deterioration rate, solution procedure and findings. It can be said that no analysis on the results was done in the present study and it can be only used as a good reference in the study field for other researchers.
Details
  • 51
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: IJIEC | Year: 2014 | Volume: 5 | Issue: 2 | Views: 4302

 
2.

Pricing and inventory control policy for non-instantaneous deteriorating items with time- and price-dependent demand and partial backlogging Pages 325-334 Right click to download the paper Download PDF

Authors: Hiwa Farughi, Narges Khanlarzade, Babak Yousefi Yegane

doi 10.5267/j.dsl.2014.3.005

๐Ÿ”‘ Keywords: Inventory control, Partial backlogging, Perishable items, Pricing

Abstract:
Determining the optimal inventory control and selling price for deteriorating items is of great significance. In this paper, a joint pricing and inventory control model for deteriorating items with price- and time-dependent demand rate and time-dependent deteriorating rate with partial backlogging is considered. The objective is to determine the optimal price, the replenishment time, and economic order quantity such that the total profit per unit time is maximized. After modeling the problem, an algorithm is proposed to solve the resulted problem. We also prove that the problem statement is concave function and the optimal solution is indeed global.
Details
  • 0
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: DSL | Year: 2014 | Volume: 3 | Issue: 3 | Views: 2857

 
3.

Genetic algorithm to optimize two-echelon inventory control system for perishable goods in terms of active packaging Pages 103-114 Right click to download the paper Download PDF

Authors: Narges Khanlarzade, Babak Yousefi Yegane, Isa Nakhai

doi 10.5267/j.ijiec.2011.10.001

๐Ÿ”‘ Keywords: Genetic algorithm, Supply chain, System active packaging, Two-echelon inventory control

Abstract:
This paper considers an inventory control policy for a two-echelon inventory control system with one supplier-one buyer. We consider the case of deteriorating items which lead to shortage in supply chain. Therefore, it is necessary to decrease the deterioration rate by adding some specification to the packaging of these items that is known as active packaging. Although this packaging can reduce the deteriorating rate of products, but may be increases the cost of both supplier and buyer. Because of the complexity of the mathematical model, a genetic algorithm has been developed to determine the best policy of this inventory control system.
Details
  • 51
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: IJIEC | Year: 2012 | Volume: 3 | Issue: 2 | Views: 6050

 

® 2010-2026 GrowingScience.Com