International Science Community Association Research Journal of Recent Sciences 2277 - 2502 4 3 2015 March 2 Evaluation of Lean Manufacturing Factors in ATO Industries, Case Study: Rose Fireplace Industry 142 149 EN Zanganeh Mohsen 1 New Castle University School of Electrical, Electronic and Computer Engineering, Zanjan, IRAN Farshid Norouzi 2 Khuram Mushtaque 1 Federal Urdu University of Arts, Science and Technology, Karachi, PAKISTAN Kamran Ahsan 2 Mohammad Ali Jinnah University, Karachi, PAKISTAN Ahmer Umer 3 Tekei Abdolghader 1 Department of Public Administration, Science and Research branch, Islamic Azad University, Tehran, IRAN Memarzadeh Gholamreza. 2 Reza Najafbeigi 3 Mahdi Mortazavi 1 Department of Management, Institute of Management and Planning Studies, IRAN Elham Vahedi 2 Department of Executive Master of Business Administration, Alborz, Qazvin, IRAN Zarei Mohammadreza 3 Dept. of Master of Business Administration, Science and Culture University, IRAN Farzane Hemmatian 4 Dept. Entrepreneurship Management, Tehran University, IRAN Razavi Maryam 1 Department of industrial management, Science and Research Branch, Islamic Azad University, Tehran, IRAN AbbasToloie Eshlaghy 2 Gizem SAYGILI 1 Faculty of Education, Süleyman Demirel University, TURKEY Khadse Shaila 1 LIT, RTM Nagpur University, Nagpur, MH, INDIA Patil P.V. 2 Department of Chemistry, Dr. Ambedkar College, Deekshaboomi, Nagpur, INDIA Panhekar Deepa 3 Department of Chemistry, Institute of Science, Civil lines, Nagpur, INDIA Satpute Shridhar 4 Khodabakhshi Faranak 1 Islamic Azad University, Astara, IRAN Badri Abbasi 2 Srivastava Nitisha 1 Department of Botany, University of Allahabad, Allahabad-211002, U. P., INDIA Kumar Girjesh 2 MohammadSadegh Barkhordari 1 Bachelor of Civil Engineering, Isfahan University of technology, Isfahan, IRAN Gran Badshah 1 Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang,TunRazak HighwayGambang, 26300 Kuantan, Pahang MALAYSIA Siau-Chuin Liew 2 JasniMohamad Zain 3 IzharHisham Syifak 4 Amatul Zehra 5 Tahereh Soleymaniahooie 1 Department of Chemistry, Islamic Azad University, North Tehran Branch, IRAN Shujah Maham 1 Department of Computer Science, COMSATS Institute of Information Technology, M.A., Jinnah Campus, Defence Road, Lahore, PAKISTAN Tabbasum Naz 2 Sadiq Ayesha 3 AmirmohseniAnbardan Ayoub 1 Islamic Azad University, Science and Research Branch, Tabriz, IRAN Farhad NaseriSarband 2 Islamic Azad University, Qazvin Branch, IRAN Satari Shiva 3 Islamic Azad University, Medical Science, Tehran, IRAN Umair Saeed 1 Department of Computer Science, Federal Urdu University of Arts, Sciences and Technology, Karachi, PAKISTAN Muhammad Sarim 2 Amna Usmani 3 Aniqa Mukhtar 4 BasitShaikh Abdul 5 SheikhKashif Raffat 6 Ashrafalsadat Zakeri 1 Master of Private law, Tehran University, Tehran, IRAN Hassani M. 1 Dept. of Civil Engineering, Shahid Beheshti University, Tehran, IRAN Safi M. 2 Hassani N. 3 AmirFarmahini Farahani 1 Department of Industrial Engineering, Payame Noor University, Tehran, IRAN Ehsan Ahadmotlaghi 2 Department of management, Payame Noor University, Tehran, IRAN FarmahiniFarahani Ahmad 3 Institute for International Energy Studies (IIES), Tehran, IRAN Aidin Valafar 4 Dept. of Business Management, Rasht Branch, Islamic Azad University, Rasht, IRAN Safar Fazli 1 Member of scientific board, Imam Khomeini Int. University, Qazvin, IRAN Saddaee Maryam 2 Department of Science, Imam Khomeini Int.University, Qazvin, IRAN > Case Study 2013 10 30 2015 March 2 Manufacturers need to optimize operations. One of the best solutions for optimizing is achieving the highest possible degree of adaptability to lean manufacturing characteristics. The basic lean manufacturing elements include production flow, organizing, process control, measurement and supporting. Among these elements, measurement is of special significance. Measurement in lean manufacturing refers to determining the rate of adaptability in a system with lean manufacturing characteristics and hence, determining the degree of compatibility with criteria and characteristics of lean manufacturing, so manufacturers should constantly assess the degree of adaptability of their systems to lean manufacturing criteria. Purpose– The purpose of this paper is determining ATO systems leanness. Most previous studies have been done in Manufacturing to Order and Manufacturing to Stock industries, while the present study has been done in Assembly to Order or ATO industries. Design/methodology/approach– In this study, using dimensional analysis approach has been presented model that calculate degree of adaptability to lean manufacturing characteristic in Assembly To Order industries. Findings– The case study of this research is relevant to Rose Fireplace Industry. In this regard, lean manufacturing factors were divided into 6 main factors and 35 sub-factors. Findings indicate the degree of adaptability of Rose Fireplace Assembly Industry to lean manufacturing characteristics is 0.744. Originality/value– In this paper, ATO systems degree of adaptability to lean manufacturing characteristics is considered. Copyright@ International Science Community Association