Unprejudiced Strategic Suppliers Selection and Inspection: An Automated Industrial Approach

Purpose:The world is rapidly shifting toward global automated marketplaces.As a result, the business environment is forcing companies to make accurate and timely decisions.The relationship between suppliers and companies has long been a critical factor, making supplier selection a highly significant task.Design/Methodology/Approach: This research addresses one of the major concerns in the fields of industrial engineering and quality management: automated supplier selection and inspection.Specifically, it examines unbiased selection accuracy and defect rates for current and future inspections in the context of supplier evaluation.It also analyzes whether 100% future inspection is necessary, based on inspection costs during the evaluation and decisionmaking process.Findings: Following the supplier selection process, the next step is to assess the supplier's efficiency, which is carried out through inspection.This study deals with two models: (1) automated supplier selection and (2) the implementation of inspection.Practical Implications: It is quite clear that, ranking of a proper vendor for a given supplier application involves a large number of considerations.The use of SAW, TOPSIS and MOORA methods are observed to be quite capable and computationally easy to evaluate and select the proper supplier from a given set of alternatives.Originality/Value: The research has proven that multi-objective programming techniques could prove extremely useful in such strategic planning.

Authors

Publication Details

Journal
International Journal of Finance Insurance and Risk Management
Published
2025-09-01
DOI
https://doi.org/10.35808/ijfirm/424
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unprejudiced Strategic Suppliers Selection and Inspection: An Automated Industrial Approach

Prithwiraj Jana
International Journal of Finance Insurance and Risk Management
Industrial Vision Systems and Defect Detection
article

Unprejudiced Strategic Suppliers Selection and Inspection: An Automated Industrial Approach

Prithwiraj Jana
article en

Abstract

Purpose:The world is rapidly shifting toward global automated marketplaces.As a result, the business environment is forcing companies to make accurate and timely decisions.The relationship between suppliers and companies has long been a critical factor, making supplier selection a highly significant task.Design/Methodology/Approach: This research addresses one of the major concerns in the fields of industrial engineering and quality management: automated supplier selection and inspection.Specifically, it examines unbiased selection accuracy and defect rates for current and future inspections in the context of supplier evaluation.It also analyzes whether 100% future inspection is necessary, based on inspection costs during the evaluation and decisionmaking process.Findings: Following the supplier selection process, the next step is to assess the supplier's efficiency, which is carried out through inspection.This study deals with two models: (1) automated supplier selection and (2) the implementation of inspection.Practical Implications: It is quite clear that, ranking of a proper vendor for a given supplier application involves a large number of considerations.The use of SAW, TOPSIS and MOORA methods are observed to be quite capable and computationally easy to evaluate and select the proper supplier from a given set of alternatives.Originality/Value: The research has proven that multi-objective programming techniques could prove extremely useful in such strategic planning.

International Journal of Finance Insurance and Risk ManagementVol. 15(Issue 2)
Openalex Percentile: Top 67%
Industrial Vision Systems and Defect Detection
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.