Datasets:

Mittalyash
/

green-supply-chain-demand

p float64 1.64 6.39	g float64 0.01 0.39	d float64 33.4 885
2.96	0.05	174.44
4.91	0.11	58.17
4.05	0.14	95.95
3.47	0.24	150.08
2.21	0.23	440.43
2.89	0.37	248.82
2.09	0.27	516.52
4.83	0.13	62.19
4.31	0.21	87.46
5.01	0.13	56.83
1.64	0.21	885.43
6.01	0.07	33.35
5.25	0.13	50.59
2.3	0.27	410.54
3.79	0.28	123.89
3.89	0.23	112.93
2.53	0.14	294.26
3.63	0.22	133.48
4.41	0.18	81.19
3.87	0.08	97.57
3.7	0.28	131.49
2.34	0.24	387.5
3.12	0.31	201.74
3.57	0.22	138.13
4.1	0.28	102.39
4.59	0.15	71.48
3.02	0.16	197.25
4.54	0.23	78.35
3.35	0.21	160.03
2.14	0.1	418.47
4.75	0.1	61.87
3.8	0.32	125.73
2.72	0.2	262.22
5.41	0.13	47.03
4.61	0.04	58.7
4.82	0.06	55.74
3.48	0.17	142.18
2.28	0.32	430.9
4.09	0.12	90.9
3.58	0.13	128.12
1.91	0.15	590.63
3.63	0.21	131.59
2.03	0.16	515.96
4.88	0.25	66.61
2.52	0.12	292.92
5.27	0.13	49.96
3.62	0.15	126.68
4.42	0.19	81.07
4.72	0.25	72.19
3.05	0.24	204.86
4.58	0.22	76.01
4.9	0.3	67.94
5.49	0.17	47.2
5.68	0.22	45.33
4.16	0.1	85.02
4.52	0.21	77.67
2.33	0.11	345.66
2.81	0.13	225.38
2.93	0.22	222.91
3.62	0.26	137.63
3.38	0.09	139.07
4.29	0.25	90.85
5.2	0.14	52.51
3.04	0.19	197.81
2.55	0.25	316.54
3.43	0.15	143.16
2.41	0.34	376.77
4.23	0.24	93.42
2.1	0.15	469.59
5.03	0.11	54.67
4.16	0.15	90.56
3.89	0.19	110.24
1.68	0.17	812.58
5	0.18	59.92
4.44	0.02	57.36
5.65	0.12	41.74
4.04	0.29	107.18
2.52	0.01	213.63
4.51	0.26	80.86
3.58	0.18	132.98
5.72	0.09	39
3.89	0.29	117.87
2.83	0.15	226.57
3.03	0.19	201.01
4.29	0.29	92.82
3.59	0.26	140.03
4.83	0.19	65.66
3.97	0.12	98.04
5.7	0.2	44.33
3.29	0.33	178.36
2.51	0.36	347.9
4.49	0.22	79.85
4.8	0.13	62.81
3.67	0.27	133.87
4.04	0.14	95.96
4.2	0.2	92.5
3.65	0.36	141.37
3.95	0.11	98.52
1.88	0.34	683.93
2.79	0.24	254.16

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Green Supply Chain Cobb–Douglas Demand Dataset

Dataset Description

This dataset contains simulated observations of retail price (p), greening effort (g), and market demand (D) generated using the Cobb–Douglas demand model.

The dataset is designed for research and machine learning experiments related to sustainable supply chains, demand prediction, and economic modelling. In green supply chain systems, demand is often influenced by both the selling price of the product and the level of environmental investment associated with the product.

Higher prices generally reduce demand, while greater greening efforts can increase consumer interest and demand.

Demand Function

Demand values are generated using the Cobb–Douglas demand structure:

D(p,g) = k · p^(-a) · g^(b)

Where:

p = retail price
g = greening effort or sustainability investment
D = market demand
k = demand scaling constant
a = price elasticity parameter
b = greening elasticity parameter

Price negatively impacts demand while greening effort positively influences demand.

Dataset Columns

Column	Description
p	Retail price per unit
g	Greening effort level
D	Market demand generated by the Cobb–Douglas function

Dataset Creation

Source

This dataset is synthetically generated using a Cobb–Douglas demand function commonly applied in economics, operations research, and supply chain modelling.

Methodology

Different combinations of retail price (p) and greening effort (g) were generated, and demand values (D) were computed using the Cobb–Douglas demand equation.

The dataset is intended to represent simplified market scenarios where sustainability investment influences consumer demand.

Applications

This dataset can be used for:

Machine learning regression models
Demand forecasting experiments
Sustainable supply chain analysis
Economic demand modelling
Operations research and optimization studies

Usage

You can load the dataset using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("Mittalyash/green-supply-chain-demand")

print(dataset)

Limitations

This dataset is synthetic and generated from theoretical demand models. Real-world market conditions such as consumer income, competition, market shocks, and policy interventions are not included.

Citation

If you use this dataset in your research, please cite:

@dataset{mittal2026_green_supply_chain_demand,
  author = {Mittal, Yash},
  title = {Green Supply Chain Cobb-Douglas Demand Dataset},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/Mittalyash/green-supply-chain-demand}
}

License

MIT License

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