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, M.Sc. Thesis Sharif University of Technology ; Shavandi, Hassan (Supervisor)
Abstract
In this research, the location-inventory problem is developed in order to design a distribution center considering customers behavior. We consider two groups of customers who have different behavior on purchase. The customers may order the product via internet and receive it at their location or go to the nearest store and buy the product at the store center. We model the problem as a multi-objective programming model. The objectives are maximizing the profit as well as maximizing the market share. The model locates the distribution centers (DC) and allocates the customers to DCs. Two heuristic algorithms developed to solve the model: non- dominated Sorting Genetic Algorithm (NSGA-II) and...
Development of Location-Inventory Model in Dual Channel Supply Chain and Solving the Model by Tabu Search Algorithm
,
M.Sc. Thesis
Sharif University of Technology
;
Hajji, Rasool
(Supervisor)
Abstract
This thesis presents a location- inventory model for dual-channel supply chains .Dual-channel supply chains have two channels for sale the traditional in-store (retail) channel and the online (retail) channel.The model assigns online demands to the capacitated stores currently serving in-store demands. Keeping the delivery network of the in-store demands unchanged, the model aims at minimizing the summation of transportation cost, inventory cost, and fixed handling cost in the system while assigning the online demands. We assume that at the beginning of each period a distribution center which just distributes products to the stores, follows an order-up-to policy which increases the total...
A location-inventory model considering a strategy to mitigate disruption risk in supply chain by substitutable products
, Article Computers and Industrial Engineering ; Volume 108 , 2017 , Pages 213-224 ; 03608352 (ISSN) ; Shavandi, H ; Rahmani, D ; Sharif University of Technology
Abstract
In this paper we consider a multiple products inventory location problem with disruption. Disruptions may occur in any supply chain due to several reasons such as earthquakes, floods, fires, labor strikes, terrorist attacks, equipment breakdowns and economic crises. We develop a model by assuming that facilities may fail partially in case of disruption and considering substitutable products as a strategy to mitigate the risk of disruption. The developed model is a non-linear integer programming model and NP-Hard. To solve the model, a hybrid algorithm including Tabu Search (TS) and Variable Neighborhood Search (VNS) is proposed. Numerical results show reasonable performance of the algorithm...