Paper Info
Title
Integration of resource investment problem with quantity discount problem in material ordering for minimizing resource costs of projects.
Abstract
Minimizing the costs in a project is highly tied with the way the required resources are provided. The resource investment problem deals with how to employ the renewable resources such that the related costs are minimized. Furthermore, the material ordering problem alludes to outlining a proper plan for supplying the nonrenewable resources (materials) to minimize the associated costs. The present paper studies the integration of the resource investment problem with the quantity discount problem in material ordering to thoroughly investigate the resource costs of projects in a single circumstance. The integrated model is presented and mathematically formulated. Three hybrid procedures are proposed for the model, each of which includes a genetic algorithm combined with a dynamic programming, a simulated annealing or a particle swarm optimization algorithm. The mathematical formulations of some small instances are solved to be the subject of an exact comparison with hybrid procedures. The proposed procedures are tested on a set of 810 benchmarks known in the literature. The computational experiments reported by algorithms validate the efficiency of the hybrid genetic algorithm and dynamic programming for the model more than other hybrid approaches.
Year
DOI
Venue
2018
10.1007/s12351-016-0266-5
Operational Research
Keywords
Field
DocType
Resource investment problem, Material ordering, Quantity discount problem, Meta-heuristics, Dynamic programming
Simulated annealing,Particle swarm optimization,Dynamic programming,Economics,Mathematical optimization,Non-renewable resource,Operations research,Renewable resource,Management science,Genetic algorithm,Metaheuristic
Journal
Volume
Issue
ISSN
18
2
1866-1505
Citations 
PageRank 
References 
2
0.38
22
Authors
3
Name
Order
Citations
PageRank
Aria Shahsavar1131.34
Nima Zoraghi241.48
B. Abbasi314519.89