Article2006

A genetic algorithm approach to the integrated inventory-distribution problem

Tamer F. Abdelmaguid · Maged M. Dessouky

129 citations0/0 files storedInternational Journal of Production Research

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Supply Chain and Inventory Management Scheduling and Optimization Algorithms Advanced Manufacturing and Logistics Optimization

Abstract

We introduce a new genetic algorithm (GA) approach for the integrated inventory distribution problem (IIDP). We present the developed genetic representation and use a randomized version of a previously developed construction heuristic to generate the initial random population. We design suitable crossover and mutation operators for the GA improvement phase. The comparison of results shows the significance of the designed GA over the construction heuristic and demonstrates the capability of reaching solutions within 20% of the optimum on sets of randomly generated test problems.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 129 citations exist upstream.

References

1996Logistics Systems Analysis 1985Analyzing trade-offs between transportation, inventory and production costs on freight networks 1997Integrating Routing and Inventory Decisions in One-Warehouse Multiretailer Multiproduct Distribution Systems

Cited by

2009Multi-level supply chain network design with routing 2014The warehouse-inventory-transportation problem for supply chains 2018Inventory routing problem for hazardous and deteriorating items in the presence of accident risk with transshipment option 2020A multi-class toll-based approach to reduce total emissions on roads for sustainable urban transportation 2009Inventory Optimization in Supply Chain Management using Genetic Algorithm 2014A contrastive study of the stochastic location-inventory problem with joint replenishment and independent replenishment 2019Optimization of Integrated Inventory Routing Problem for Cold Chain Logistics Considering Carbon Footprint and Carbon Regulations 2013Modeling and optimization for the joint replenishment and delivery problem with heterogeneous items

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.