Progressive Quadrant Approach to Supply Chain Quality Management and Inspection

As required by law or regulatory standards, agricultural producers must make sure their products fulfil quality standards prior to sale in order to protect the interests of customers. Similar to other production systems, agricultural production frequently falls short of perfect quality, which causes some products to fall short of requirements. Throughout the inspection process, mistakes can happen, including Type I and Type II inspection faults. This research suggests a Quadrant Progressive Supply Chain Model, which focusses on the production and distribution of emerging crops, to address these problems in the agriculture industry. The inventory system's optimal cost is what the model seeks to minimise. A multi-fuzz approach is proposed that incorporates the triangular fuzzy number of the classical inventory model. Next, sensitivity analysis is used to find more sensitive factors, offer management guidance, and provide support the process.

Authors

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/ariia63345.2024.11051936
Primary Topic
Quality and Supply Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Progressive Quadrant Approach to Supply Chain Quality Management and Inspection

Divyashri Ramanathan Nagarajan, B. Shabana
Quality and Supply Management
article

Progressive Quadrant Approach to Supply Chain Quality Management and Inspection

Divyashri Ramanathan Nagarajan, B. Shabana
article en

Abstract

As required by law or regulatory standards, agricultural producers must make sure their products fulfil quality standards prior to sale in order to protect the interests of customers. Similar to other production systems, agricultural production frequently falls short of perfect quality, which causes some products to fall short of requirements. Throughout the inspection process, mistakes can happen, including Type I and Type II inspection faults. This research suggests a Quadrant Progressive Supply Chain Model, which focusses on the production and distribution of emerging crops, to address these problems in the agriculture industry. The inventory system's optimal cost is what the model seeks to minimise. A multi-fuzz approach is proposed that incorporates the triangular fuzzy number of the classical inventory model. Next, sensitivity analysis is used to find more sensitive factors, offer management guidance, and provide support the process.

Openalex Percentile: Top 50%
Quality and Supply Management
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.