APPLICATION OF STATISTICAL PROCESS OPTIMIZATION TOOLS IN INVENTORY MANAGEMENT OF GOODS QUALITY: SUPPLIERS EVALUATION IN HEALTHCARE FACILITY

Yıl 2020, Cilt: 4 Sayı: 1, 388 - 408, 30.06.2020

Mostafa Eissa , Engy Rashed

Öz

Inventory management and control represent a crucial activity required in any successful organization for the modern industry generally and the healthcare field specifically. Rigorous monitoring of the goods inspection properties is important for the delivery of products with appropriate quality that meets customer needs. In the present study, random records have been selected that cover a year simulation period of monitoring for container deliveries to a warehouse that were used as primary packaging materials for topical healthcare products from three different manufacturers. Statistical Process Control (SPC) methodologies and analyses such as box plots, histograms, Pareto diagrams, process-behavior charts and Gaussian Mixture Model (GMM) were applied for processed and stratified data to evaluate a single product property. Integration between the material stock database and statistical processing platform was established through excel dataset and/or Comma-Separated Values (CSV) files where the results of the monitored inspection characteristic were reported for each freightage. The analysis showed that the most dominant supplier dispatched products with specifications that have become very close to the target value, despite initial unstable variations in the inspection characteristic. The less common manufacturer showed product quality values that are shifted slightly above the previous one with a lower rate of out-of-control alarms. The least contacted vendor demonstrated the highest precision (which might be partially accounted to a very few numbers of the received batches of the packaging product) with the lowest accurate values that were very close to the upper specification limit. The study was useful in manufacturers' quality assessment and follow-ups.

Anahtar Kelimeler

Box Plot, Gaussian Mixture Model, Histogram, Process-Behavior Charts, Pareto Diagram

Kaynakça

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