شماره ركورد كنفرانس :
3385
عنوان مقاله :
A Multi-product Multi-period location-inventory for a supply chain network under inflation and time value of money
پديدآورندگان :
Mousavi Mohsen Department of Mechanical Engineering - Faculty of Engineering - University of Malaya, Malaysia , Binti Musa Siti Nurmaya Department of Mechanical Engineering - Faculty of Engineering - University of Malaya, Malaysia , Alikar Najmeh Department of Mechanical Engineering - Faculty of Engineering - University of Malaya, Malaysia , Akhavan Niaki Taghi Department of Industrial Engineering - Sharif University of Technology, Tehran
كليدواژه :
Location allocation , Mixed integer nonlinear programming , Inventory-supply chain problem , Genetic algorithm , Inflation and time value of money
عنوان كنفرانس :
دومين كنگره بين المللي مهندسي صنايع و سيستم ها
چكيده لاتين :
In this research, we investigate a supply chain
network with multiple producers, retailers and the
retailers’ warehouses for seasonal products where the
warehouses of retailers have limited capacity. The aim of
the problem is to find the optimal locations of the
producers (vendors) in a specific area among a number of
retailers in addition to find the optimal quantity of the
products ordered by the retailers from the producers so
that the total supply chain cost becomes minimized. The
costs of the proposed supply chain network are calculated
under the inflation rate and the discount policies. In order
to optimize the problem, a Modified Genetic Algorithm
(MGA) is applied. Finally, some numerical examples are
generated to illustrate the performance of the provided
algorithm.
