Analyzing supply chain integration & its performance metrics to enhance productivity case industry: five food complex industries around
Keywords:
Supply Chain Integrations, Supply Chain Performance Metrics , Supply Chain Productivity Improvement, Integrated Model in the Supply Chain System, Quantitative Evaluation of the Supply Chain.Abstract
Synchronizing supply chain integrations’ (SCIs) activities across its functional departments is the most significant to be competitive. In this research, SCI & its performance were examined through addressing problems, including inadequate coordination and poor resource interflows, in the cause firms’ comprehensive evaluation of efficiencies. The summaries of the literature revealed gaps as excessive reliance on the SCOR-Model and limited deployments of the best management tools. This study integrated the SCOR model with Managerial Levers Achievement Coordination to close these gaps. Having the conceptualized research framework of this study, using MS-Excel & IBM 24 SPSS, primary and secondary data from case firms were examined. Internal operational integrations (19.9%, 52.6, 21.4 %), SC information coordination (16.5%, 51.4%, 26.6%), are considered as factors of SCIs that influence outcome. Response time (21.4%, 50.0%, 22.9%), quality perspective (19.7%, 36.6%, 38.1%) was low, medium, and high. Also, the impacts of one variable on others have been studied by regression and correlation matrix analysis. Unnecessary expenses were investigated as 29%, 18%, 43%, 11% preventive, appraisal, internal, and external failure, while downtime exceeded 19.9%. Then, a possible solution was proposed, a conclusion derived, and further research areas indicated.
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