Investigating lean supply chain enablers in the food industries through structural equation modeling

سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 399

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شناسه ملی سند علمی:

IIEC18_042

تاریخ نمایه سازی: 1 دی 1400

چکیده مقاله:

To compete in today's global markets, reduction of total costs and elimination of waste in all parts of a company is the most important key to success. Implementing lean methods in companies is the best solution because it has a wide range of tools to reduce waste and increase efficiency. The purpose of this paper is to evaluate the lean supply chain enablers on improving the performance of the food industry. The statistical population of this study is all food industry companies in Urmia city of Iran and the statistical sample includes ۱۰۵ people. In this study, structural equation modeling with SPSS and Smart PLS software is used to analyze the data. The results of the research hypotheses test show that there is a significant relationship between lean supply chain enablers and food industry performance.

نویسندگان

Amineh Pourali

Department of Business Management, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran

Reza Babazadeh

Faculty of Engineering, Urmia University, Urmia, West Azerbaijan Province, Iran