Internet Computing & Systems Optimization (ICSO) Research Seminars

Program

"Multi-Objective Optimization Models for Fleet Capacity Size with Environmental Aspects" by Bartosz Sawik, Department of Applied Computer Science (Faculty of Management) at the AGH University of Science & Technology (Kraków, Poland).

Abstract

This research presents multi-criteria vehicle routing problems. Mathematical models are formulated as mixed integer programming. We consider maximization of capacity of truck vs. minimization of utilization of fuel, carbon emission and production of noise. The problems deal with green logistics for routes crossing the Western Pyrenees in Navarre, Basque Country and La Rioja, Spain.

We consider heterogeneous fleet of trucks. Different types to trucks have not only different capacity, but also require different amounts of fuel for operations, so the amount of carbon emission and noise vary, too.  For company it is important to plan the delivery routes considering trade off between money and environmental aspects of transportation. It can be done by choosing different size of trucks and dividing the long delivery routes for smaller ones.

The results of some computational experiments modeled after a real data from the Spanish food distribution company are reported. Computational results based on formulated optimization models shown some balance between fleet size, truck types and utilization of fuel, carbon emission and production of noise. As the results company could consider to mixed trucks sizes and divided routes for smaller trucks. Analyses of obtained results could help logistics managers to lead the initiative in area of green logistics by saving fuel, minimizing pollution.

Key words

Multi-Criteria Decision Making, Vehicle Routing, Green Logistics, Heterogeneous fleet.

References

SAWIK B., FAULIN J., PÉREZ-BERNABEU E. (2017). A Multicriteria Analysis for the Green VRP: A Case Discussion for the Distribution Problem of a Spanish Retailer, Transportation Research Procedia, DOI: 10.1016/j.trpro.2017.03.037.

SAWIK B., FAULIN J., PÉREZ-BERNABEU E. (2017). Multi-Objective Traveling Salesman and Transportation Problem with Environmental Aspects. chapter in: Lawrence K.D., Kleinman G. (Eds.) Applications of Management Science (Vol. 18) Applications of Management Science. Bingley, UK: Emerald Group Publishing Limited, Bingley, UK, pp. 21-56.

SAWIK B., FAULIN J., PÉREZ-BERNABEU E. (2017). Selected Multi-Criteria Green Vehicle Routing Problems, chapter in: Lawrence K.D., Kleinman G. (Eds.) Applications of Management Science (Vol. 18) Applications of Management Science. Bingley, UK: Emerald Group Publishing Limited, Bingley, UK, pp. 57-84.
 

"Scheduling in Electronics Supply Chains Using Mixed Integer Programming" by Tadeusz Sawik, Department of Operations Research at the AGH University of Science & Technology (Kraków, Poland).

Abstract

The purpose of this talk is to show how mixed integer programming (MIP) can be applied to deterministic scheduling in the electronics supply chains. A typical supply chain in the electronics industry may consist of many component suppliers at several locations and many production facilities, where the supplied components are assembled into finished products, next distributed to customers to meet their demand.

In view of the global competition, a crucial issue becomes how to best coordinate and schedule the supplies of components and production and distribution of finished products to minimize cost and maximize customer service level, the two equally important objectives that are in conflict.

The MIP approaches will be illustrated with computational examples modeled after a real-world scheduling in the electronics supply chain of Motorola, one of the major US electronics  manufacturers.

As illustrative examples we shall consider the short-term detailed scheduling of printed wiring boards assembly in surface mount technology lines and the medium-term aggregate scheduling of customer orders for finished products in a distribution center of cellular phones.

Final conclusions will focus on the current research on stochastic MIP applications to coordinated scheduling of disrupted material flows in the presence of supply chain disruption risks due to natural or man-made disasters.

Keywords

Supply chain scheduling; supply chain disruption management; mixed integer programming.

References

SAWIK T.: Scheduling in Supply Chains Using Mixed Integer Programming.  John Wiley & Sons, Hoboken, NJ 2011. http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470935731.html

SAWIK T.:  Supply Chain Disruption Management Using Stochastic Mixed Integer Programming.   Springer International Series in Operations Research and Management Science, New York 2017 (forthcoming). http://www.springer.com/gp/book/9783319588223