Datasets:

alirezaaminzadeh
/

wasteloop-sample-scenarios

sector stringclasses 7 values	demand stringclasses 3 values	strategy stringclasses 6 values	recycling_target_pct int64 55 75	emission_cap_tons int64 100 150	net_cost_usd float64 406k 1.01M	recycling_rate_pct float64 35.9 78.9	total_emissions_tons float64 4.06 8.75	total_distance_km float64 979 2.26k	service_level_pct float64 60.2 90	facility_balance_score float64 90.5 97.8	solve_time_sec float64 0 0.52
municipal	baseline	pyomo_integrated_network	65	120	739,295.73	50.43	8.587	2,259.4	71.43	97.79	0.521
municipal	high_diversion	nsga2_multiobjective	75	100	406,333.89	54.19	8.752	2,004.8	65.08	94.66	0.434
factory	baseline	ortools_periodic_routing	60	130	754,342.17	64.97	4.064	1,175.6	90	96.4	0.088
hospital	baseline	alns_collection_routing	55	110	724,762.52	45.92	4.834	1,267	64.29	97.71	0.027
ecommerce	high_diversion	inventory_routing_heuristic	70	120	957,649.94	78.91	6.146	1,142.9	60.2	90.53	0.001
electronics	market_downturn	scenario_robust_plan	65	140	874,858.64	35.85	5.68	1,479.2	79.12	97.44	0.353
construction	baseline	pyomo_integrated_network	58	150	1,006,758.2	44.79	7.612	2,019.7	77.68	96.97	0.17
food	high_diversion	nsga2_multiobjective	72	105	472,251.94	54.17	4.084	979.4	66.67	94.53	0.297