LOGICRUNCHER - A Logistics Planning and Scheduling Decision Support System for Emerging EMS and 3PL Business Practices

Raymund J. Lin, Jack Huang, Norman Sadeh-Koniecpol, Benjamin Tsai

2006

Abstract

LogiCruncher is a dynamic logistics planning and scheduling module developed to support emerging third party logistics practices. Given information about inventory profiles for different product types at different locations, a set of transportation assets as well as a variety of quotes and contractual arrangements with logistics service providers, the system is capable of generating or revising transportation plans and schedules that meet changing customer requirements. These requirements are expressed in the form of demands for delivering different types of SKUs in different quantities to different locations. The system is capable of capturing a rich set of domain constraints and costs. It can be used to support the development and dynamic revision of solutions as well as to support requests for quotes from prospective customers. This includes support for “what-if” analysis through the creation and manipulation of solutions in different contexts, each corresponding to possibly different sets of assumptions. This paper provides an overview of LogiCruncher and summarizes results of initial evaluation.

References

  1. Alp, O., N.E. Ekrip, R. Gullu (2003). Outsourcing Logistics: Designing Transportation Contracts Between a Manufacturer and a Transporter, Transportation Science 37(1) 23-29.
  2. Becker, M. and S.F. Smith (2000, April). "MixedInitiative Resource Management: The AMC Barrel Allocator", Proceedings 5th International Conference on Artificial Intelligence Planning and Scheduling (AIPS-2000), Breckenridge, CO
  3. Cordeau, J.-F., M. Gendreau, A. Hertz, G. Laporte, and J.- S. Sormany, (2004). New heuristics for the vehicle routing problem. In: Logistics systems: Design and optimization. Eds.: A. Langevin and D. Riopel, Kluwer Academic Publishers (to appear - earlier version as Technical Report G-2004-33, GERAD, Université de Montreal, Canada).
  4. Cordeau, J.-F., M. Gendreau, G. Laporte, J.-Y. Potvin, and F. Semet, (2002). A guide to vehicle routing heuristics. Journal of the Operational Research Society 53(5) 512-522.
  5. Kott, A., and V. Saks (1998, June). A MultiDecompositional Approach to Integration of Planning and Scheduling - An Applied Perspective, in Proc. of Workshop on Integrating Planning, Scheduling and Execution in Dynamic and Uncertain Environments. International Conference on Artificial Intelligence Planning Systems, AAAI Press TR WS-98-02
  6. Kott, A., V. Saks, and A. Mercer (1999, Spring). A New Technique Enables Dynamic Replanning and Rescheduling of Aeromedical Evacuation, AI Magazine, Vol. 2, No. 1, pp. 43-54
  7. Li, F., B. Golden, E. Wasil, (2005). Very large-scale vehicle routing: New test problems, algorithms, and results. Computers & Operations Research 32(5) 1165-1179.
  8. Smith, S.F., M.A. Becker and L. Kramer (2004). "Continuous Management of Airlift and Tanker Resources: A Constraint-Based Approach", Mathematical and Computer Modeling: Special Issue on Defense Transportation
  9. Sadeh, N.M., D.W. Hildum, and D. Kjenstad (2003). "Agent-based e-Supply Chain Decision Support", Journal of Organizational Computing and Electronic Commerce, Vol. 13, No. 3
  10. Sadeh, N.M., D.W. Hildum, T.J. Laliberty, J. McA'Nulty, D. Kjenstad, and A. Tseng (1998, June). "A Blackboard Architecture for Integrating Process Planning and Production Scheduling". Concurrent Engineering: Research and Applications, Vol. 6, No. 2
  11. Sadeh, N.M. and A. Kott (1996). "Models and Techniques for Dynamic Demand-Responsive Transportation Planning", Technical Report CMU-RI-TR-96-09, The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213-3891.
  12. Sadeh, N.M., Y. Nakakuki, and S. Thangiah (1997). "Learning to Recognize (Un)Promising Simulated Annealing Runs: Efficient Search Procedures for Job Shop Scheduling and Vehicle Routing". Annals of Operations Research, 75, pp.189-208
Download


Paper Citation


in Harvard Style

J. Lin R., Huang J., Sadeh-Koniecpol N. and Tsai B. (2006). LOGICRUNCHER - A Logistics Planning and Scheduling Decision Support System for Emerging EMS and 3PL Business Practices . In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-42-9, pages 176-181. DOI: 10.5220/0002464201760181


in Bibtex Style

@conference{iceis06,
author={Raymund J. Lin and Jack Huang and Norman Sadeh-Koniecpol and Benjamin Tsai},
title={LOGICRUNCHER - A Logistics Planning and Scheduling Decision Support System for Emerging EMS and 3PL Business Practices},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2006},
pages={176-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002464201760181},
isbn={978-972-8865-42-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - LOGICRUNCHER - A Logistics Planning and Scheduling Decision Support System for Emerging EMS and 3PL Business Practices
SN - 978-972-8865-42-9
AU - J. Lin R.
AU - Huang J.
AU - Sadeh-Koniecpol N.
AU - Tsai B.
PY - 2006
SP - 176
EP - 181
DO - 10.5220/0002464201760181