ADAPTING STATISTICAL QUALITY CONTROL FOR THE SEAFOOD PROCESSING INDUSTRY IN PAPUA: A LITERATURE REVIEW FOR DEVELOPING A SUSTAINABLE QUALITY CONTROL MODEL
Keywords:
Statistical Quality Control, Seafood Processing, Sustainable Quality Control, Literature ReviewAbstract
The seafood processing industry in Papua, Indonesia, faces unique challenges in maintaining consistent product quality due to geographical remoteness, logistical complexities, and the perishable nature of marine resources. This research conducts a comprehensive literature review to explore the potential adaptation of Statistical Quality Control methodologies for enhancing quality control practices within this industry, with a focus on developing a sustainable quality control model that addresses the specific needs and constraints of the region. By examining existing literature on SQC applications in food processing, cold chain management, and risk assessment, this study aims to identify best practices, relevant tools, and critical success factors for implementing effective and sustainable quality control measures that ensure product safety, reduce waste, and promote economic growth in the Papuan seafood sector.
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