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 » Management Science Letters » Responsive supply chain: modeling and simulation

⭐ 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)

MSL Volumes

    • ▼ Volume 16 (16)
      • Issue 1 (6)
      • Issue 2 (5)
      • Issue 3 (5)
    • ▼ Volume 15 (24)
      • Issue 1 (5)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (9)
    • ▼ Volume 14 (22)
      • Issue 1 (6)
      • Issue 2 (6)
      • Issue 3 (5)
      • Issue 4 (5)
    • ▼ Volume 13 (27)
      • Issue 1 (7)
      • Issue 2 (8)
      • Issue 3 (5)
      • Issue 4 (7)
    • ▼ Volume 12 (33)
      • Issue 1 (6)
      • Issue 2 (6)
      • Issue 3 (8)
      • Issue 4 (13)
    • ▼ Volume 11 (251)
      • Issue 1 (36)
      • Issue 2 (39)
      • Issue 3 (40)
      • Issue 4 (40)
      • Issue 5 (29)
      • Issue 6 (27)
      • Issue 7 (20)
      • Issue 8 (12)
      • Issue 9 (8)
    • ▼ Volume 10 (448)
      • Issue 1 (24)
      • Issue 2 (25)
      • Issue 3 (24)
      • Issue 4 (25)
      • Issue 5 (26)
      • Issue 6 (26)
      • Issue 7 (25)
      • Issue 8 (27)
      • Issue 9 (27)
      • Issue 10 (30)
      • Issue 11 (33)
      • Issue 12 (30)
      • Issue 13 (30)
      • Issue 14 (30)
      • Issue 15 (30)
      • Issue 16 (36)
    • ▼ Volume 9 (208)
      • Issue 1 (16)
      • Issue 2 (14)
      • Issue 3 (11)
      • Issue 4 (12)
      • Issue 5 (12)
      • Issue 6 (16)
      • Issue 7 (16)
      • Issue 8 (16)
      • Issue 9 (16)
      • Issue 10 (16)
      • Issue 11 (19)
      • Issue 12 (20)
      • Issue 13 (24)
    • ▼ Volume 8 (119)
      • Issue 1 (5)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (5)
      • Issue 5 (22)
      • Issue 6 (20)
      • Issue 7 (6)
      • Issue 8 (6)
      • Issue 9 (8)
      • Issue 10 (10)
      • Issue 11 (11)
      • Issue 12 (16)
    • ▼ Volume 7 (54)
      • Issue 1 (5)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (5)
      • Issue 5 (5)
      • Issue 6 (5)
      • Issue 7 (4)
      • Issue 8 (4)
      • Issue 9 (4)
      • Issue 10 (4)
      • Issue 11 (4)
      • Issue 12 (4)
    • ▼ Volume 6 (74)
      • Issue 1 (9)
      • Issue 2 (6)
      • Issue 3 (6)
      • Issue 4 (7)
      • Issue 5 (6)
      • Issue 6 (6)
      • Issue 7 (8)
      • Issue 8 (6)
      • Issue 9 (5)
      • Issue 10 (5)
      • Issue 11 (5)
      • Issue 12 (5)
    • ▼ Volume 5 (129)
      • Issue 1 (15)
      • Issue 2 (10)
      • Issue 3 (10)
      • Issue 4 (12)
      • Issue 5 (14)
      • Issue 6 (14)
      • Issue 7 (8)
      • Issue 8 (8)
      • Issue 9 (11)
      • Issue 10 (8)
      • Issue 11 (9)
      • Issue 12 (10)
    • ▼ Volume 4 (387)
      • Issue 1 (34)
      • Issue 2 (30)
      • Issue 3 (34)
      • Issue 4 (42)
      • Issue 5 (33)
      • Issue 6 (43)
      • Issue 7 (42)
      • Issue 8 (40)
      • Issue 9 (39)
      • Issue 10 (20)
      • Issue 11 (18)
      • Issue 12 (12)
    • ▼ Volume 3 (426)
      • Issue 1 (40)
      • Issue 2 (47)
      • Issue 3 (40)
      • Issue 4 (40)
      • Issue 5 (27)
      • Issue 6 (50)
      • Issue 7 (51)
      • Issue 8 (30)
      • Issue 9 (24)
      • Issue 10 (25)
      • Issue 11 (25)
      • Issue 12 (27)
    • ▼ Volume 2 (365)
      • Issue 1 (51)
      • Issue 2 (32)
      • Issue 3 (40)
      • Issue 4 (44)
      • Issue 5 (42)
      • Issue 6 (52)
      • Issue 7 (53)
      • Issue 8 (51)
    • ▼ Volume 1 (70)
      • Issue 1 (10)
      • Issue 2 (15)
      • Issue 3 (20)
      • Issue 4 (25)

🔑 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)
Basrowi Basrowi(31)
Sautma Ronni Basana(31)
Hassan Ghodrati(31)
Mohammad Khodaei Valahzaghard(30)
Haitham M. Alzoubi(30)
Ni Nyoman Kerti Yasa(29)
Shankar Chakraborty(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
Management Science Letters
ISSN 1923-9343 (Online) - ISSN 1923-9335 (Print)
Quarterly Publication
Volume 5 Issue 6 pp. 639-650, 2015

Responsive supply chain: modeling and simulation Pages 639-650 Right click to download the paper Download PDF

Authors: Amit Kumar Sinha, Prerna Swati, Ankush Anand

📋 Author Affiliations:
Amit Kumar Sinha1, Prerna Swati2, Ankush Anand1
1 School of Mechanical Engineering, Shri Mata Vaishno Devi University (SMVDU), Katra, India-182320, India
2 Alumni of the School of Design and Human Engineering, Ulsan National Institute of Science and Technology, UNIST-gil 50, Ulsan, Republic of Korea
doi 10.5267/j.msl.2015.4.001
7 Source: Scopus
Crossref Source: CrossRef

🔑 Keywords: Agile supply chain, Efficient supply chain, Lean supply chain, Responsive supply chain

Abstract: Unexpected occurrence like natural calamity, abruptly change in customer demands, upgradation of technologies, necessity of compatible suppliers etc. is the most challenging issues even for efficient global supply chain management. Therefore, modeling of responsive supply chain is an emerging technology for sustaining any firm/industry in future competitive environment. In this paper, an attempt has been made to not only analyze the performance of efficient supply chain management but also how to improve the performance of existing supply chain with the objective of developing a modeling of responsive supply chain management. The complexity of the model is also highlighted with the help of numerical example. This paper also explores the possibility to mathematical modeling of the responsive supply chain which will be an emerging topic for researchers and practitioners. The modeling of responsive supply chain can be employed as a competitive strategy for e-commerce, green supply chain, and compatible supplier selection problem. The another salient feature of this paper is that a distinct comparative literature review of the lean, agile, efficient, and responsive supply chain management has been presented.

How to cite this paper
APA: Sinha, A., Swati, P & Anand, A. (2015). Responsive supply chain: modeling and simulation. Management Science Letters, 5(6), 639-650.
Chicago/Turabian: Sinha, A., Swati, P & Anand, A. 2015. "Responsive supply chain: modeling and simulation." Management Science Letters 5, no. 6 (2015): 639-650.
AMA: Sinha, A., Swati, P & Anand, A. Responsive supply chain: modeling and simulation. Management Science Letters. 2015;5(6):639-650.

References
Brant, S. (2009). Report based on beyond lean the market responsive company. Hitachi consulting.

Catalan, M., & Kotzab, H. (2003). Assessing the responsiveness in the Danish mobile phone supply chain. International Journal of Physical Distribution & Logistics Management, 33(8), 668-685.

Chan, F. T., & Prakash, A. (2012). Inventory management in a lateral collaborative manufacturing supply chain: a simulation study. International Journal of Production Research, 50(16), 4670-4685.

Chopra, S., & Meindl, P. (2007). Supply chain management. Strategy, planning & operation (pp. 265-275). Gabler.

Christopher, M. (1999). Logistics and Supply Chain Management: Strategies for Reducing Cost and Improving Service Financial Times: Pitman Publishing. London, 1998 ISBN 0 273 63049 0 (hardback) 294+ 1× pp.

Christopher, M. (2000). The agile supply chain: competing in volatile markets.Industrial marketing management, 29(1), 37-44.

Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. A. M. T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. Evolutionary Computation, IEEE Transactions on, 6(2), 182-197.

Fisher, M. L. (1997). What is the right supply chain for your product?. Harvard business review, 75, 105-117.

Graves, S. C., Gutierrez, C., Pulwer, M. J., Sidhu, H. S., Weihs, G. L., & Director, S. C. (1996). Optimizing Monsanto’s supply chain under uncertain demand. In Annual conference proceedings–council of logistics management, Orlando FL (pp. 501-516).

Grossmann, I. (2005). Enterprise?wide optimization: A new frontier in process systems engineering. AIChE Journal, 51(7), 1846-1857.

Gunasekaran, A., Lai, K. H., & Cheng, T. E. (2008). Responsive supply chain: a competitive strategy in a networked economy. Omega, 36(4), 549-564.

Hines, P. (1998). Benchmarking Toyota & apos; s supply chain: Japan vs UK. Long Range Planning, 31(6), 911-918.

Ibaraki, T., & Katoh, N. (1988). Resource allocation problems: algorithmic approaches. MIT press.

Jayaraman, V., & Ross, A. (2003). A simulated annealing methodology to distribution network design and management. European Journal of Operational Research, 144(3), 629-645.

Lambert, D. M., Emmelhainz, M. A., & Gardner, J. T. (1996). Developing and implementing supply chain partnerships. The international Journal of Logistics management, 7(2), 1-18.

Lambert, D. M., Emmelhainz, M. A., & Gardner, J. T. (1996). Developing and implementing supply chain partnerships. The international Journal of Logistics management, 7(2), 1-18.

Lee, H. L., Padmanabhan, V., & Whang, S. (1997). The bullwhip effect in supply chains1. Sloan management review, 38(3), 93-102.

Mason-Jones, R., Naylor, B., & Towill, D. R. (2000). Engineering the leagile supply chain. International Journal of Agile Management Systems, 2(1), 54-61.

Pagh, J. D., & Cooper, M. C. (1998). Supply chain postponement and speculation strategies: how to choose the right strategy. Journal of business logistics, 19, 13-34.

Petersen, K. J., Handfield, R. B., & Ragatz, G. L. (2005). Supplier integration into new product development: coordinating product, process and supply chain design. Journal of operations management, 23(3), 371-388.

Sinha, A., & Swati, P. (2014). Supply Chain: Next generation issues and concerns. Uncertain Supply Chain Management, 2(1), 1-14.

Somuyiwa, A., & Adebayo, T. (2013). Firm’s competitiveness through supply chain responsiveness and supply chain management practices in Nigeria.Journal of Poverty, Investment and Development, 1, 142-147.

Stevenson, W.J. & Hojati, M. (2007). Operations management: McGraw-Hill/Irwin Boston.

Tiwari, M.K., Mahanty, B., Sarmah, S., & Jenamani, M. (2012). Modeling of responsive supply chain: CRC Press.
  • 17
  • 1
  • 2
  • 3
  • 4
  • 5

📚 Journal: Management Science Letters | 📅 Year: 2015 | 📖 Volume: 5 | 📄 Issue: 6 | 👁️ Views: 3244 | 📊 Crossref:

Related Articles:
  • Robust design of critical factors of multi-stage supply chain operations management
  • Role of lean manufacturing and supply chain characteristics in accessing the manufacturing performance
  • An empirical investigation for measuring the performance of supply chain operation: A case study of healthcare industry
  • Supply chain quality management
  • Continuous supply chain collaboration: Road to achieve operational excellence

📝 Ready to share your research?

Management Science Letters 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