Evidence map›Paper›PMID 41766001›Full record

ArticleScientific reports2026

A two stage optimization model for sustainable location routing problem with capacity and time window constraints in smart parcel lockers.

S Mohammad Ghadirpour, S Kamal Chaharsooghi, Mostafa Hajiaghaei-Keshteli

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

S Mohammad GhadirpourFaculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.
S Kamal ChaharsooghiFaculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran. skch@modares.ac.ir.
Mostafa Hajiaghaei-KeshteliTecnologico de Monterrey, School of Science and Engineering, Monterrey, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid expansion of e-commerce has significantly increased the demand for sustainable delivery methods to mitigate urban congestion, emissions, and rising logistical costs. Addressing the challenges of last-mile delivery requires logistics providers to respond to operational demands and market dynamics with both urgency and efficiency. Smart parcel lockers, as a known solution, reduce the negative externalities of urban transportation while improving delivery performance. This research introduces a sustainable location-routing model for smart parcel lockers using a two-stage optimization approach. The model aims to minimize operational costs, fuel consumption, and CO₂ emissions while ensuring customer demand is met. Exact solution techniques are applied, and multiple scenarios are evaluated through extensive sensitivity analysis. The model is validated using a real-world case study in Tehran, Iran. In addition, metaheuristic algorithms, such as the Keshtel, Genetic, and Simulated Annealing methods, were benchmarked to evaluate model performance under varying problem scales, with the Keshtel algorithm showing superior scalability and runtime efficiency in large instances. Findings indicate that optimally positioned lockers combined with efficient routing can lead to substantial reductions in both transportation costs and environmental impacts. Practical implications for logistics managers include the integration of electric vehicles and renewable-powered lockers to further advance sustainability goals.

Indexed as

Last-mile deliveryLocation-routing problemMetaheuristic algorithmsSmart parcel lockersSustainabilityTwo-stage optimization

Identifiers

PMID41766001
PMCPMC13057044

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.