The Impact of Supply Chain Management on Industrial Efficiency and Technical Performance (Case Study: Engineering New Enterprises of Guilan Province, Northern of Iran)
محورهای موضوعی : Supply Chain Management
Ataollah Taleghani
1
,
Mohammad Taleghani
2
,
Mohsen Shafieyan
3
1 - B.S. Student of Industrial Engineering, University of Guilan, Raht, Guilan, Iran
2 - Department of Industrial management, Islamic Azad University, Rasht, Iran
3 - PhD Student of Industrial Management, Department of Management, Rasht Branch, Islamic Azad University, Rasht, Iran
کلید واژه: supply chain management, Guilan Province, technical performance, industrial efficiency, new enterprises,
چکیده مقاله :
An important issue for suppliers, producers, and retailers who want to compete in a competitive environment is continuous performance improvement in a dynamic supply chain. Literature review on supply chain puts more emphasis on quantitative factors than other factors. In this research, we focus on quantitative factors which affect competitive advantages creation and investigation. Our goal is to examine the qualitative factors which affect the supply chain management (e.g. supply chain uncertainty, plant location, and manufacturing practices) based on performance evaluation models and at last we give some solutions to improve the performance. Questionnaire was used to collect data and regression statistical method to examine the research hypothesis. According to the results, plant location, supply chain uncertainty and manufacturing practices factors influenced petrochemical industry supply chain performance.
An important issue for suppliers, producers, and retailers who want to compete in a competitive environment is continuous performance improvement in a dynamic supply chain. Literature review on supply chain puts more emphasis on quantitative factors than other factors. In this research, we focus on quantitative factors which affect competitive advantages creation and investigation. Our goal is to examine the qualitative factors which affect the supply chain management (e.g. supply chain uncertainty, plant location, and manufacturing practices) based on performance evaluation models and at last we give some solutions to improve the performance. Questionnaire was used to collect data and regression statistical method to examine the research hypothesis. According to the results, plant location, supply chain uncertainty and manufacturing practices factors influenced petrochemical industry supply chain performance.
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