ArticleScientific reports2021
Assessment of distribution center locations using a multi-expert subjective-objective decision-making approach.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Deep learning and TOPSIS-based multi-criteria decision-making framework for urban road defect detection and sustainable maintenance planning.Scientific reports · 2025Article
- Article
- Introducing a Novel multi-criteria Ranking of Alternatives with Weights of Criterion (RAWEC) model.MethodsX · 2024Review
- The performance model of logistic distribution centers: Quality function deployment based on the Best-Worst Method.PloS one · 2024Article
- Several explorations on how to construct an early warning system for local government debt risk in China.PloS one · 2022Article
- Assessment of distribution center locations using a multi-expert subjective-objective decision-making approach.Scientific reports · 2021Article
- Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Distribution is a strategic function of logistics in different companies. Establishing distribution centers (DCs) in appropriate locations helps companies to reach long-term goals and have better relations with their customers. Assessment of possible locations for opening new DCs can be considered as an MCDM (Multi-Criteria Decision-Making) problem. In this study, a decision-making approach is proposed to assess DC locations. The proposed approach is based on Stepwise Weight Assessment Ratio Analysis II (SWARA II), Method based on the Removal Effects of Criteria (MEREC), Weighted Aggregated Sum Product Assessment (WASPAS), simulation, and the assignment model. The assessment process is performed using the subjective and objective criteria weights determined based on multiple experts' judgments. The decision matrix, subjective weights and objective weights are modeled based on the triangular probability distribution to assess the possible alternatives. Then, using simulation and the assignment model, the final aggregated results are determined. A case of DC locations assessment is addressed to show the applicability of the proposed approach. A comparative analysis is also made to verify the results. The analyses of this study show that the proposed approach is efficient in dealing with the assessment of DC locations, and the final results are congruent with those of existing MCDM methods.
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Registered trials
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.