CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

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

عنوان مقاله: Investigating lean supply chain enablers in the food industries through structural equation modeling
شناسه ملی مقاله: IIEC18_042
منتشر شده در هجدهمین کنفرانس بین المللی مهندسی صنایع در سال 1400
مشخصات نویسندگان مقاله:

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

خلاصه 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.

کلمات کلیدی:
Supply Chain Management, Lean Supply Chain, Structural Equation Modeling, Food Industry

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1354224/