Developing a Joint Location-Inventory-Transportation Model under Uncertainty

Please enable javascript in your browser.

This page was sent successfuly

Bookmark

1800 viewed

توسعه مدل توام جانمایی - موجودی حمل و نقل در شرایط عدم قطعیت

1800 Viewed

Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 39413 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Mahlooji, Hashem
Abstract:
In this research, an integrated location-inventory-transportation problem with uncertainty in the parameters is analyzed using Robust Optimization techniques. Unknown demand distribution is the underlying assumption, which relates better to the reality. The model’s main purpose is to determine the number and locations of the Distribution Centers (DC) that connect the supplier to the retailers, and then to assign retailers to them. The problem’s mathematical model is developed on the basis of Robust Optimization techniques and the solution space is explored by Tabu Search. The results show that the Tabu Search method achieves optimality in small-scale cases, while providing desirable solutions to cases of medium and large scale at insignificant running times
Keywords:
Inventories ; Tabu Search Algorithm ; Robust Optimization ; Joint Location-Pricing Model ; Location

No TOC