What does this research mean for the field?

A constraint-aware hybrid ALDEP-CRAFT framework utilizing data-driven relationship modeling significantly reduces transportation costs in multi-floor facility layout optimization compared to traditional ALDEP layouts. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Develop and evaluate an automated, constraint-aware hybrid ALDEP–CRAFT framework using empirical material flow data to optimize department arrangements and transportation costs in multi-floor facilities.

September 5, 2026Facilities

A constraint-aware hybrid ALDEP–CRAFT framework for multi-floor facility layout optimisation with data-driven REL modelling

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Authors

NANishtha Agarwal SCShrirang Madhukar Choudhari

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Overview

Optimization study demonstrates a 42.4% reduction in transportation costs across multi-floor warehouses, indicating that data-driven hybrid layout algorithms streamline industrial material flow.

Key Points

Develop and evaluate an automated, constraint-aware hybrid ALDEP–CRAFT framework using empirical material flow data to optimize department arrangements and transportation costs in multi-floor facilities.
Extracted closeness relationships from empirical warehouse material flow data to guide a multi-start automated layout design program (ALDEP) under geometric and operational constraints.
Applied an improved computerized relative allocation of facilities technique (CRAFT) utilizing swap, relocation, and rotation neighborhood operators across multiple floors.
The CRAFT phase decreased transportation costs from 5,438 to 4,000.2 units (26.4% reduction over ALDEP), with batch experiments identifying an optimal layout achieving 3,131.9 units (42.4% reduction).
Repeated independent evaluation runs demonstrated statistically significant reductions in transportation costs (t = 13.92, p < 0.001) with a large effect size (Cohen's d = 3.11).

Cite This Study

Agarwal et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd4436b95aff0620ebd19 https://doi.org/10.1108/f-06-2026-0096

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September 5, 2026Facilities

A constraint-aware hybrid ALDEP–CRAFT framework for multi-floor facility layout optimisation with data-driven REL modelling

View Full Paper

Ask AI

Bookmark

Authors

NANishtha Agarwal SCShrirang Madhukar Choudhari

Discussion

Member takes

Overview

Optimization study demonstrates a 42.4% reduction in transportation costs across multi-floor warehouses, indicating that data-driven hybrid layout algorithms streamline industrial material flow.

Key Points

Develop and evaluate an automated, constraint-aware hybrid ALDEP–CRAFT framework using empirical material flow data to optimize department arrangements and transportation costs in multi-floor facilities.
Extracted closeness relationships from empirical warehouse material flow data to guide a multi-start automated layout design program (ALDEP) under geometric and operational constraints.
Applied an improved computerized relative allocation of facilities technique (CRAFT) utilizing swap, relocation, and rotation neighborhood operators across multiple floors.
The CRAFT phase decreased transportation costs from 5,438 to 4,000.2 units (26.4% reduction over ALDEP), with batch experiments identifying an optimal layout achieving 3,131.9 units (42.4% reduction).
Repeated independent evaluation runs demonstrated statistically significant reductions in transportation costs (t = 13.92, p < 0.001) with a large effect size (Cohen's d = 3.11).

Cite This Study

Agarwal et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd4436b95aff0620ebd19 https://doi.org/10.1108/f-06-2026-0096

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