Integrating AHP and TOPSIS for Evidence-Based Supplier Evaluation in the Pharmaceutical Industry

ACI Pharma typically spends between $12 and $15 million annually on brand marketing activities, with portions of that funding used to create printed promotional materials that clearly convey scientific knowledge to relevant stakeholders and medical expert audiences. Previous iterations of supporting evidence among promotions find that these limitations significantly undermine marketing initiatives overall from effectiveness and efficiency perspectives due to a subjective evaluation of suppliers. Given that the lack of real evaluation and integration of operations has contributed to an undermined competitive performance, this study tackles these issues through the integration of the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) as a hybrid multi-criteria decision-making (MCDM) method for developing an evidence-driven supplier evaluation methodology specifically for advanced chemical industries (ACI) Pharma. The proposed AHP-TOPSIS methodology enables a transparent, consistent supplier assessment, based on multiple performance criteria, including communications, flexibility, price, quality, and delivery. The results show that supplier S2 consistently had the highest closeness coefficient (CC) or performance score, and this ranking is validated by sensitivity analysis to be stable when criterion weights vary ±10%. Overall, ACI Pharma now has a consistent, practical, and objective way to select the best vendors for printed promotional materials, while also enhancing competitiveness and efficiency with procurement.

Institutions

Publication Details

Journal
Multicriteria Algorithms with Applications
Published
2025-09-15
DOI
https://doi.org/10.61356/j.mawa.2025.8589
Primary Topic
Eastern European Communism and Reforms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating AHP and TOPSIS for Evidence-Based Supplier Evaluation in the Pharmaceutical Industry

Multicriteria Algorithms with Applications
Eastern European Communism and Reforms
article

Integrating AHP and TOPSIS for Evidence-Based Supplier Evaluation in the Pharmaceutical Industry

article en

Abstract

ACI Pharma typically spends between $12 and $15 million annually on brand marketing activities, with portions of that funding used to create printed promotional materials that clearly convey scientific knowledge to relevant stakeholders and medical expert audiences. Previous iterations of supporting evidence among promotions find that these limitations significantly undermine marketing initiatives overall from effectiveness and efficiency perspectives due to a subjective evaluation of suppliers. Given that the lack of real evaluation and integration of operations has contributed to an undermined competitive performance, this study tackles these issues through the integration of the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) as a hybrid multi-criteria decision-making (MCDM) method for developing an evidence-driven supplier evaluation methodology specifically for advanced chemical industries (ACI) Pharma. The proposed AHP-TOPSIS methodology enables a transparent, consistent supplier assessment, based on multiple performance criteria, including communications, flexibility, price, quality, and delivery. The results show that supplier S2 consistently had the highest closeness coefficient (CC) or performance score, and this ranking is validated by sensitivity analysis to be stable when criterion weights vary ±10%. Overall, ACI Pharma now has a consistent, practical, and objective way to select the best vendors for printed promotional materials, while also enhancing competitiveness and efficiency with procurement.

Multicriteria Algorithms with ApplicationsVol. 8
Zagazig University (EG)
Openalex Percentile: Top 37%
Eastern European Communism and Reforms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Integrating AHP and TOPSIS for Evidence-Based Supplier Evaluation in the Pharmaceutical Industry · Multicriteria Algorithms with Applications (2025) | TGRS Research Map | TGRS