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 » International Journal of Industrial Engineering Computations » Supply chain coordination for a deteriorating product under stock-dependent consumption rate and unreliable production process

⭐ Highly Cited Articles

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

Journals

  • IJIEC (840)
  • IJDS (1032)
  • DSL (759)
  • ESM (434)
  • CCL (563)
  • JPM (350)
  • AC (572)
  • JFS (106)
  • MSL (2658)
  • USCM (1104)
  • HE (54)
  • SCI (52)

IJIEC Volumes

    • ▼ Volume 17 (113)
      • Issue 1 (21)
      • Issue 2 (30)
      • Issue 3 (26)
      • Issue 4 (36)
    • ▼ Volume 16 (75)
      • Issue 1 (12)
      • Issue 2 (15)
      • Issue 3 (19)
      • Issue 4 (29)
    • ▼ Volume 15 (55)
      • Issue 1 (19)
      • Issue 2 (15)
      • Issue 3 (12)
      • Issue 4 (9)
    • ▼ Volume 14 (50)
      • Issue 1 (11)
      • Issue 2 (15)
      • Issue 3 (9)
      • Issue 4 (15)
    • ▼ Volume 13 (41)
      • Issue 1 (10)
      • Issue 2 (8)
      • Issue 3 (10)
      • Issue 4 (13)
    • ▼ Volume 12 (29)
      • Issue 1 (9)
      • Issue 2 (6)
      • Issue 3 (8)
      • Issue 4 (6)
    • ▼ Volume 11 (36)
      • Issue 1 (9)
      • Issue 2 (8)
      • Issue 3 (9)
      • Issue 4 (10)
    • ▼ Volume 10 (34)
      • Issue 1 (8)
      • Issue 2 (10)
      • Issue 3 (8)
      • Issue 4 (8)
    • ▼ Volume 9 (32)
      • Issue 1 (9)
      • Issue 2 (6)
      • Issue 3 (7)
      • Issue 4 (10)
    • ▼ Volume 8 (30)
      • Issue 1 (9)
      • Issue 2 (7)
      • Issue 3 (8)
      • Issue 4 (6)
    • ▼ Volume 7 (47)
      • Issue 1 (10)
      • Issue 2 (14)
      • Issue 3 (10)
      • Issue 4 (13)
    • ▼ Volume 6 (39)
      • Issue 1 (7)
      • Issue 2 (12)
      • Issue 3 (10)
      • Issue 4 (10)
    • ▼ Volume 5 (47)
      • Issue 1 (13)
      • Issue 2 (12)
      • Issue 3 (12)
      • Issue 4 (10)
    • ▼ Volume 4 (50)
      • Issue 1 (14)
      • Issue 2 (10)
      • Issue 3 (12)
      • Issue 4 (14)
    • ▼ Volume 3 (77)
      • Issue 1 (10)
      • Issue 2 (15)
      • Issue 3 (20)
      • Issue 4 (12)
      • Issue 5 (20)
    • ▼ Volume 2 (68)
      • Issue 1 (12)
      • Issue 2 (20)
      • Issue 3 (20)
      • Issue 4 (16)
    • ▼ Volume 1 (17)
      • Issue 1 (9)
      • Issue 2 (8)

🔑 Keywords

Jordan(175)
Supply chain management(172)
Vietnam(154)
Customer satisfaction(124)
Performance(117)
Supply chain(115)
Artificial intelligence(108)
Service quality(101)
Competitive advantage(100)
SMEs(95)
Sustainability(94)
Tehran Stock Exchange(94)
optimization(88)
Financial performance(86)
TOPSIS(85)
Trust(85)
Genetic Algorithm(81)
Organizational performance(81)
Job satisfaction(81)
Social media(80)


» Show all keywords

✍️ Authors

Naser Azad(82)
Zeplin Jiwa Husada Tarigan(70)
Mohammad Reza Iravani(65)
Endri Endri(45)
Hotlan Siagian(43)
Muhammad Alshurideh(42)
Dmaithan Almajali(39)
Jumadil Saputra(37)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Sautma Ronni Basana(33)
Barween Al Kurdi(32)
Basrowi Basrowi(31)
Mohammad Khodaei Valahzaghard(30)
Haitham M. Alzoubi(30)
Ni Nyoman Kerti Yasa(30)
Hassan Ghodrati(30)
Shankar Chakraborty(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Mahmoud Allahham(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 (9)
16. Brazil (40)
17. Brunei (1)
18. Bulgaria (1)
19. Burkina Faso (1)
20. Cameroon (1)
Total: 121 countries

Show all countries
International Journal of Industrial Engineering Computations
ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 2 Issue 2 pp. 263-272, 2011

Supply chain coordination for a deteriorating product under stock-dependent consumption rate and unreliable production process Pages 263-272 PDF Download PDF

Authors: A. Chakraborty, B.C Giri

📋 Author Affiliations:
B.C. Giri ORCID , A. Chakraborty ORCID
¹ Department of Mathematics, Jadavpur University, Kolkata 700 032, India
doi 10.5267/j.ijiec.2010.07.001
13 Source: Scopus
Crossref 3 Source: CrossRef

🔑 Keywords: deterioration, Inventory management, Machine shift, Single-vendor single-buyer, Stock dependent demand, Supply chain management

Abstract: This article develops a supply chain coordination model with a single-vendor and a singlebuyer.
The vendor manufactures the product in lots and delivers to the buyer in equal
shipments. The vendor’s production process is not perfectly reliable. During a production run,
the process may shift from an in-control state to an out-of-control state at any random time and
produces some defective items. The buyer whose demand is assumed to be a linear function of
the on-hand inventory performs a screening process immediately after each replenishment.
Moreover, the buyer’s inventory is deteriorated at a constant rate over time. The vendor-buyer
coordination policy is determined by minimizing the average cost of the supply chain. It is
observed from the numerical study that channel coordination earns significant cost savings over
the non-coordinated policy.

How to cite this paper
APA: Chakraborty, A & Giri, B. (2011). Supply chain coordination for a deteriorating product under stock-dependent consumption rate and unreliable production process. International Journal of Industrial Engineering Computations, 2(2), 263-272.
Chicago/Turabian: Chakraborty, A & Giri, B. 2011. "Supply chain coordination for a deteriorating product under stock-dependent consumption rate and unreliable production process." International Journal of Industrial Engineering Computations 2, no. 2 (2011): 263-272.
AMA: Chakraborty, A & Giri, B. Supply chain coordination for a deteriorating product under stock-dependent consumption rate and unreliable production process. International Journal of Industrial Engineering Computations. 2011;2(2):263-272.

References
Banerjee, A. (1986). A joint economic lot size model for purchaser and vendor. Decision Sciences, 17, 292-311.

Ben-Daya, M. & Hariga, M. (2004). Integrated single vendor single buyer model with stochastic demand and variable lead time. International Journal of Production Economics, 92, 75-80.

Covert, P.R. & Philip, G.C. (1973). An EOQ model for items with Weibull distribution deterioration. AIIE Transactions, 5, 323-326.

Ghare, P.N. & Schrader, G.F. (1963). A model for exponentially decaying inventories. Journal of Industrial Engineering, 15, 238-243.

Goyal, S.K. (1976). An integrated inventory model for a single supplier-single customer problem. International Journal of Production Research, 15(1), 107-111.

Goyal, S.K. (1988). A joint economic lot size model for purchaser and vendor: a comment. Decision Sciences, 19, 236-241.

Goyal, S.K. (1995). A one-vendor multi-buyer integrated inventory model: a comment. European Journal of Operational Research, 81, 312-323.

Goyal, S.K. & Giri, B.C. (2001). Recent trend in modeling of deteriorating inventory: an invited review. European Journal of Operational Research, 134, 1-16.

Hill, R.M. (1999). The optimal production and shipment policy for the single-vendor single buyer integrated production-inventory model. International Journal of Production Research, 37, 2463-2475.

Hogue, M.A. & Goyal, S.K. (2000). An optimal policy for a single-vendor single buyer integrated production-inventory problem with capacity constraint of the transport equipment. International Journal of Production Economics, 65, 305-315.

Huang, C.K. (2004). An optimal policy for single-vendor single-buyer integrated production-inventory problem with process unreliability consideration. International Journal of Production Economics, 91, 91-98.

Kim, T., Hong, Y. & Lee, J. (2006). Joint economic production allocation and ordering policies in a supply chain consisting of multiple plants and a single retailer. International Journal of Production Research, 43 (17), 3619-3632.

Li, J. & Liu, L. (2006). Supply chain coordination with quantity discount policy. International Journal of Production Economics, 101, 89-98.

Lu, L. (1995). A one-vendor multi-buyer integrated inventory model. European Journal of Operational Research, 81, 312-323.

Moon, I. & Lee, S. (2000). The effects of inflation and time value of money on an economic order quantity model with a random product life cycle. European Journal of Operational Research, 125, 588-601.

Nahmias, S. (1982). Perishable inventory theory: Operations Research, 30,680-708.

Qin, Y., Tang, H. & Guo, C. (2007). Channel coordination and volume discounts with price sensitive demand. International Journal of Production Research, 105, 43-53.

Sajadieh, M.S., Akbari Jokar, M.R. & Modarres, M. (2009) Developing a coordinated vendor-buyer model in two stage supply chains with stochastic lead times. Computers & Operations Research, 36, 2484-2489.

Tadikamalla, P. R. (1978). An EOQ inventory model for items with gamma distributed deterioration. AIIE Transactions, 10, 100-103.

Wee, H. M. & Chung, C.J. (2006). A two-echelon deteriorating production-inventory newsboy model with imperfect production process. Computational Science and its Applications, ICCSA Lecture Notes in Computer Science, 3982, 862-874.

Yang, M.F. (2010). Supply chain integrated inventory model with present value and dependent crashing cost is polynomial. Mathematical and Computer Modelling, 51, 802-809.

Zhou, Y.W., Min, J. & Goyal, S.K. (2008). Supply chain coordination under an inventory-level-dependent demand rate. International Journal of Production Research, 113, 518-527
  • 34
  • 1
  • 2
  • 3
  • 4
  • 5

📚 Journal: International Journal of Industrial Engineering Computations | 📅 Year: 2011 | 📖 Volume: 2 | 📄 Issue: 2 | 👁️ Views: 2488 | 📊 Crossref: 3

Related Articles:
  • Optimal pricing and lot sizing vendor managed inventory
  • Three stage supply chain model with two warehouse, imperfect production, variable demand rate and inflation
  • Vendor-buyer ordering policy when demand is trapezoidal
  • An integrated single-vendor single-buyer production-inventory model for items with imperfect quality and inspection errors
  • Genetic algorithm to optimize two-echelon inventory control system for perishable goods in terms of active packaging

📝 Ready to share your research?

International Journal of Industrial Engineering Computations 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