The R Journal: accepted article

This article will be copy edited and may be changed before publication.

Inventorymodel: an R Package for Centralized Inventory Problems PDF download
Alejandro Saavedra-Nieves

Abstract Inventory management of goods is an integral part of logistics systems, common to various economic sectors such as industry, agriculture and trade, and independent of production volume. In general, companies seek to minimize economic losses, and hence studies on problems of multi-agent inventory have increased in recent years. A multi-agent inventory problem is a situation in which several agents face individual inventory problems and agree to coordinate their orders with the objective of reducing costs. The R package Inventorymodel allows the determination of the optimal policy in some inventory situations with deterministic demands and the allocation of costs from a game-theoretic perspective. The required calculations are automatized for any number of agents although the computational complexity of this class of problems when the involved agents enlarge is not reduced. In this work, the different possibilities that the package offers are described and some examples of usage are also evaluated.

Received: 2017-06-14; online 2018-05-21, supplementary material, (687 bytes)
CRAN packages: Inventorymodel, e1071, GameTheoryAllocation
CRAN Task Views implied by cited CRAN packages: Cluster, Distributions, Environmetrics, MachineLearning, Multivariate, Psychometrics


CC BY 4.0
This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2018-023,
  author = {Alejandro Saavedra-Nieves},
  title = {{Inventorymodel: an R Package for Centralized Inventory
          Problems}},
  year = {2018},
  journal = {{The R Journal}},
  url = {https://journal.r-project.org/archive/2018/RJ-2018-023/index.html}
}