@article{ART003302945},
author={Kyoung-Hee Noh and Gyu-Sun Cho},
title={Correcting Cost Bias in Hazardous Chemical Choice : A Policy-Linked Multi-Attribute Analysis},
journal={Industry Promotion Research},
issn={2466-1139},
year={2026},
volume={11},
number={1},
pages={121-126},
doi={10.21186/IPR.2026.11.1.121}
TY - JOUR
AU - Kyoung-Hee Noh
AU - Gyu-Sun Cho
TI - Correcting Cost Bias in Hazardous Chemical Choice : A Policy-Linked Multi-Attribute Analysis
JO - Industry Promotion Research
PY - 2026
VL - 11
IS - 1
PB - Industrial Promotion Institute
SP - 121
EP - 126
SN - 2466-1139
AB - This study develops a policy-linked multi-attribute framework to correct cost-centric bias in hazardous chemical choice. Three solvents (TCE, DCM, DPM) are normalized on Safety (S), Economics (E), and Substitutability (M) to [0–1], evaluated under five policy-anchored weighting sets (A–E), and analyzed via a global sensitivity sweep. Calculations were implemented in Python 3.11/NumPy 1.26. DPM ranks first under safety-weighted and balanced scenarios (A–C), while DCM becomes first only in the cost-dominant scenario (E). With w_S = w_M = (1 − w_E)/2, the tie threshold between DCM and DPM is w_E* = 0.3399; it shifts to 0.3916 with −20% on DCM’s economics and to 0.3174 with −0.1 on DPM’s safety. These outputs are model results standardized from literature inputs interpretation is bounded by the selected indicators and assumptions. Policy levers—toxicity thresholds, hazard-grade-linked charges/insurance /liability, mandatory alternatives analysis, and enhanced disclosure—are recommended.
KW - Hazardous chemicals;MCDA;Environmental risk assessment;Social cost internalization;;Alternative substances;K-REACH.
DO - 10.21186/IPR.2026.11.1.121
ER -
Kyoung-Hee Noh and Gyu-Sun Cho. (2026). Correcting Cost Bias in Hazardous Chemical Choice : A Policy-Linked Multi-Attribute Analysis. Industry Promotion Research, 11(1), 121-126.
Kyoung-Hee Noh and Gyu-Sun Cho. 2026, "Correcting Cost Bias in Hazardous Chemical Choice : A Policy-Linked Multi-Attribute Analysis", Industry Promotion Research, vol.11, no.1 pp.121-126. Available from: doi:10.21186/IPR.2026.11.1.121
Kyoung-Hee Noh, Gyu-Sun Cho "Correcting Cost Bias in Hazardous Chemical Choice : A Policy-Linked Multi-Attribute Analysis" Industry Promotion Research 11.1 pp.121-126 (2026) : 121.
Kyoung-Hee Noh, Gyu-Sun Cho. Correcting Cost Bias in Hazardous Chemical Choice : A Policy-Linked Multi-Attribute Analysis. 2026; 11(1), 121-126. Available from: doi:10.21186/IPR.2026.11.1.121
Kyoung-Hee Noh and Gyu-Sun Cho. "Correcting Cost Bias in Hazardous Chemical Choice : A Policy-Linked Multi-Attribute Analysis" Industry Promotion Research 11, no.1 (2026) : 121-126.doi: 10.21186/IPR.2026.11.1.121
Kyoung-Hee Noh; Gyu-Sun Cho. Correcting Cost Bias in Hazardous Chemical Choice : A Policy-Linked Multi-Attribute Analysis. Industry Promotion Research, 11(1), 121-126. doi: 10.21186/IPR.2026.11.1.121
Kyoung-Hee Noh; Gyu-Sun Cho. Correcting Cost Bias in Hazardous Chemical Choice : A Policy-Linked Multi-Attribute Analysis. Industry Promotion Research. 2026; 11(1) 121-126. doi: 10.21186/IPR.2026.11.1.121
Kyoung-Hee Noh, Gyu-Sun Cho. Correcting Cost Bias in Hazardous Chemical Choice : A Policy-Linked Multi-Attribute Analysis. 2026; 11(1), 121-126. Available from: doi:10.21186/IPR.2026.11.1.121
Kyoung-Hee Noh and Gyu-Sun Cho. "Correcting Cost Bias in Hazardous Chemical Choice : A Policy-Linked Multi-Attribute Analysis" Industry Promotion Research 11, no.1 (2026) : 121-126.doi: 10.21186/IPR.2026.11.1.121
