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 » Modelling and solving a bi-objective intermodal transport problem of agricultural products

⭐ 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 (101)
  • MSL (2658)
  • USCM (1104)
  • HE (52)
  • 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)
Tehran Stock Exchange(94)
Sustainability(93)
optimization(88)
Financial performance(86)
Trust(85)
TOPSIS(85)
Job satisfaction(81)
Genetic Algorithm(81)
Organizational performance(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 9 Issue 4 pp. 439-460, 2018

Modelling and solving a bi-objective intermodal transport problem of agricultural products Pages 439-460 PDF Download PDF

Authors: Abderrahman Abbassi, Ahmed Elhilali Alaoui, Jaouad Boukachour

📋 Author Affiliations:
Abderrahman Abbassi1, Ahmed Elhilali Alaoui2, Jaouad Boukachour ORCID 1
1 USMBA university, Faculty of Sciences and technology, Modeling and Scientific Calculus Laboratory, Fez, Morocco
2 Normandie university, University of Le Havre, Applied Mathematics Laboratory, Le havre, France
doi 10.5267/j.ijiec.2017.12.001
18 Source: Scopus
Crossref 6 Source: CrossRef

🔑 Keywords: Intermodal transportation, Agricultural products export, Bi-objective optimization, NSGA-II, GRASP Algorithm, Iterated local search

Abstract: During the past few years, transportation of agricultural products is increasingly becoming a crucial problem in supply chain logistics. In this paper, we present a new mathematical formulation and two solution approaches for an intermodal transportation problem. The proposed bi-objective model is applied to the transportation of agricultural products from Morocco to Europe to minimise both the transportation cost either in the form of uni-modal or intermodal, as well as the maximal overtime to delivery products. The first solution approach is based on a non-dominated sorting genetic algorithm improved by a local search heuristic and the second one is the GRASP algorithm (Greedy Randomised Adaptive Search Procedure) with iterated local search heuristics. They are tested on theoretical and real case benchmark instances and compared with the standard NSGA-II. Results are analysed and the efficiency of algorithms is discussed using some performance metrics.

How to cite this paper
APA: Abbassi, A., Alaoui, A & Boukachour, J. (2018). Modelling and solving a bi-objective intermodal transport problem of agricultural products. International Journal of Industrial Engineering Computations, 9(4), 439-460.
Chicago/Turabian: Abbassi, A., Alaoui, A & Boukachour, J. 2018. "Modelling and solving a bi-objective intermodal transport problem of agricultural products." International Journal of Industrial Engineering Computations 9, no. 4 (2018): 439-460.
AMA: Abbassi, A., Alaoui, A & Boukachour, J. Modelling and solving a bi-objective intermodal transport problem of agricultural products. International Journal of Industrial Engineering Computations. 2018;9(4):439-460.

References
Agamez-Arias, A. D. M., & Moyano-Fuentes, J. (2017). Intermodal transport in freight distribution: a literature review. Transport Reviews, 1-26.
Alumur, S. A., Kara, B. Y., & Karasan, O. E. (2012). Multimodal hub location and hub network design. Omega, 40(6), 927-939.
Arnold, P., Peeters, D., & Thomas, I. (2004). Modelling a rail/road intermodal transportation system. Transportation Research Part E: Logistics and Transportation Review, 40(3), 255-270.
Baykasoğlu, A., & Subulan, K. (2016). A multi-objective sustainable load planning model for intermodal transportation networks with a real-life application. Transportation Research Part E: Logistics and Transportation Review, 95, 207-247.
Bierwirth, C., & Kuhpfahl, J. (2017). Extended GRASP for the job shop scheduling problem with total weighted tardiness objective. European Journal of Operational Research, 261(3), 835-848.
Bierwirth, C., Kirschstein, T., & Meisel, F. (2012). On transport service selection in intermodal rail/road distribution networks.
Chang, T. S. (2008). Best routes selection in international intermodal networks. Computers & operations research, 35(9), 2877-2891.
Cho, J. H., Kim, H. S., & Choi, H. R. (2012). An intermodal transport network planning algorithm using dynamic programming—a case study: from Busan to Rotterdam in intermodal freight routing. Applied Intelligence, 36(3), 529-541.
Choong, S. T., Cole, M. H., & Kutanoglu, E. (2002). Empty container management for intermodal transportation networks. Transportation Research Part E: Logistics and Transportation Review, 38(6), 423-438.
Crainic, T. G., & Kim, K. H. (2007). Intermodal transportation. Handbooks in operations research and management science, 14, 467-537.
De Mesquita, B. B., & Smith, A. (2009). A political economy of aid. International Organization, 63(2), 309-340.
Demir, E., Burgholzer, W., Hrušovský, M., Arıkan, E., Jammernegg, W., & Van Woensel, T. (2016). A green intermodal service network design problem with travel time uncertainty. Transportation Research Part B: Methodological, 93, 789-807.
Eberhart, R., & Kennedy, J. (1995, October). A new optimizer using particle swarm theory. In Micro Machine and Human Science, 1995. MHS'95., Proceedings of the Sixth International Symposium on (pp. 39-43). IEEE.
Erera, A. L., Morales, J. C., & Savelsbergh, M. (2005). Global intermodal tank container management for the chemical industry. Transportation Research Part E: Logistics and Transportation Review, 41(6), 551-566.
Etemadnia, H., Goetz, S. J., Canning, P., & Tavallali, M. S. (2015). Optimal wholesale facilities location within the fruit and vegetables supply chain with bimodal transportation options: An LP-MIP heuristic approach. European Journal of Operational Research, 244(2), 648-661.
Groothedde, B., Ruijgrok, C., & Tavasszy, L. (2005). Towards collaborative, intermodal hub networks: A case study in the fast moving consumer goods market. Transportation Research Part E: Logistics and Transportation Review, 41(6), 567-583.
Hamidi, M., Farahmand, K., Sajjadi, S., & Nygard, K. (2014). A heuristic algorithm for a multi-product four-layer capacitated location-routing problem. International Journal of Industrial Engineering Computations, 5(1), 87-100.
Ho, S. C., & Szeto, W. Y. (2016). GRASP with path relinking for the selective pickup and delivery problem. Expert Systems with Applications, 51, 14-25.
Ishfaq, R., & Sox, C. R. (2010). Intermodal logistics: The interplay of financial, operational and service issues. Transportation Research Part E: Logistics and Transportation Review, 46(6), 926-949.
Jiang, Y., Zhang, X., Rong, Y., & Zhang, Z. (2014). A multimodal location and routing model for hazardous materials transportation based on multi-commodity flow model. Procedia-Social and Behavioral Sciences, 138, 791-799.
Lam, J. S. L., & Gu, Y. (2016). A market-oriented approach for intermodal network optimisation meeting cost, time and environmental requirements. International Journal of Production Economics, 171, 266-274.
Limbourg, S., & Jourquin, B. (2009). Optimal rail-road container terminal locations on the European network. Transportation Research Part E: Logistics and Transportation Review, 45(4), 551-563.
Lin, C. C., Chiang, Y. I., & Lin, S. W. (2014). Efficient model and heuristic for the intermodal terminal location problem. Computers & Operations Research, 51, 41-51.
Meisel, F., Kirschstein, T., & Bierwirth, C. (2013). Integrated production and intermodal transportation planning in large scale production–distribution-networks. Transportation Research Part E: Logistics and Transportation Review, 60, 62-78.
Meng, Q., & Wang, X. (2011). Intermodal hub-and-spoke network design: incorporating multiple stakeholders and multi-type containers. Transportation research Part B: Methodological, 45(4), 724-742.
Ramos, B., Miller, F. A., Brandão, T. R., Teixeira, P., & Silva, C. L. (2013). Fresh fruits and vegetables—an overview on applied methodologies to improve its quality and safety. Innovative Food Science & Emerging Technologies, 20, 1-15.
Resat, H. G., & Turkay, M. (2015). Design and operation of intermodal transportation network in the Marmara region of Turkey. Transportation Research Part E: Logistics and Transportation Review, 83, 16-33.
Rodemann, H., & Templar, S. (2014). The enablers and inhibitors of intermodal rail freight between Asia and Europe. Journal of Rail Transport Planning & Management, 4(3), 70-86.
Sawadogo, M., & Anciaux, D. (2012). Sustainable supply chain by intermodal itinerary planning: a multiobjective ant colony approach. International Journal of Agile Systems and Management, 5(3), 235-266.
Sörensen, K., & Vanovermeire, C. (2013). Bi-objective optimization of the intermodal terminal location problem as a policy-support tool. Computers in Industry, 64(2), 128-135.
Sörensen, K., Vanovermeire, C., & Busschaert, S. (2012). Efficient metaheuristics to solve the intermodal terminal location problem. Computers & Operations Research, 39(9), 2079-2090.
Verma, M., Verter, V., & Zufferey, N. (2012). A bi-objective model for planning and managing rail-truck intermodal transportation of hazardous materials. Transportation research part E: logistics and transportation review, 48(1), 132-149.
Woodburn, A. (2012). Intermodal rail freight activity in Britain: Where has the growth come from?. Research in Transportation Business & Management, 5, 16-26.
  • 17
  • 1
  • 2
  • 3
  • 4
  • 5

📚 Journal: International Journal of Industrial Engineering Computations | 📅 Year: 2018 | 📖 Volume: 9 | 📄 Issue: 4 | 👁️ Views: 2602 | 📊 Crossref: 6

Related Articles:
  • Variable neighborhood search algorithm for the green vehicle routing problem
  • Estimation of intercity freight origin-destination matrix using simulated annealing algorithm
  • A multimodal transportation system routing implemented in waste collection
  • Intermodal network expansion in a competitive environment with uncertain demands
  • Container repositioning management in liner shipping industry

📝 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