شناسایی و اولویت‌بندی عوامل موثر بر زنجیره تامین لجستیک معکوس پسماند فاضلاب صنعتی در شرکت معدنی و صنعتی گل گهر
محورهای موضوعی :
مدیریت صنعتی
Mostafa Mahmoudabadi
1
,
SADEGH ABEDI
2
1 - PhD Student Industrial Management(Production and Operations), Islamic Azad University, Qazvin Branch, Qazvin, Iran
2 - Assistant Professor, Department of Industrial Management,
Qazvin Branch, Islamic Azad University
تاریخ دریافت : 1400/01/17
تاریخ پذیرش : 1400/07/24
تاریخ انتشار : 1400/08/10
کلید واژه:
لجستیک معکوس,
پسماند فاضلاب صنعتی,
زنجیره تامین,
چکیده مقاله :
در سال‌های اخیر با توجه به اهمیت پسماند فاضلاب صنعتی، ذینفعان زنجیره تأمین انتظار دارند که زنجیره تامین لجستیک معکوس تأمین مورد توجه قرار گیرد. بنابراین هدف پژوهش شناسایی و اولویت‌بندی عوامل موثر بر زنجیره تامین لجستیک معکوس پسماند فاضلاب صنعتی در شرکت معدنی و صنعتی گل گهر بود. پژوهش توسعه‌ای کاربردی بوده و بصورت آمیخته انجام گرفت. با استفاده از روش نمونه‌گیری هدفمند 12 خبره آشنا به پژوهش تعیین گردید. در بخش کیفی برای کدگذاری و شناسایی عوامل از تحلیل مضمون استفاده گردید. برای اولویت‌بندی عوامل در بخش کمی دیمتل فازی با کمک نرم افزار دیمتل سالور به کار گرفته شد. نتایج حاصل نشان داد که عوامل موثر بر زنجیره تامین لجستیک معکوس پسماند فاضلاب صنعتی شامل 7 مضمون کلی می‌باشند. تعهد مدیریت، محیط زیست، هزینه، انعطاف‌پذیری، قوانین و مقررات، اجتماعی و مدیریت کیفیت جامع می باشند. با استفاده از تکنیک دیمتل مشخص گردید تعهد مدیریت تاثیرگذارترین عامل بر دیگر عوامل میباشد و محیط زیست تاثیرپذیرترین عامل بر دیگر عوامل میباشد که خود نشان دهنده تاثیر عوامل دیگر بر این عامل میباشد.
چکیده انگلیسی:
In recent years, given the importance of industrial wastewater waste, supply chain stakeholders expect the reverse supply logistics supply chain to be considered. Therefore, the purpose of this study was to identify and prioritize the reverse logistics supply chain of industrial wastewater waste in Gol Gohar Mining and Industrial Company. The research was applied development and was conducted in a mixed way. Using purposive sampling method, 12 experts familiar with the research were identified. In the qualitative section, content analysis was used to code and identify the factors. Fuzzy Dematel was used to prioritize the factors in the quantitative part. The results showed that the factors affecting the reverse logistics supply chain of industrial wastewater include 7 general themes. Commitment to management, environment, cost, flexibility, rules and regulations, social and total quality management. Using Dematel technique, it was determined that management commitment is the most influential factor on other factors and the environment is the most influential factor on other factors, which shows the impact of other factors on this factor
منابع و مأخذ:
Alfonso-Lizarazo, E. H., Montoya-Torres, J. R., & Gutiérrez-Franco, E. (2013). Modeling reverse logistics process in the agro-industrial sector: The case of the palm oil supply chain. Applied Mathematical Modelling, 37(23), 9652-9664.
Alshamsi, A., & Diabat, A. (2017). A Genetic Algorithm for Reverse Logistics network design: A case study from the GCC. Journal of Cleaner Production, 151, 652-669
Bouzon, M., Govindan, K., & Rodriguez, C. M. T. (2018). Evaluating barriers for reverse logistics implementation under a multiple stakeholders’ perspective analysis using grey decision making approach. Resources, conservation and recycling, 128, 315-335.
De Rosa,. V., M. Gebhard, E. Hartmann and J. Wollenweber. (2013). Robust sustainable bi-directional logistics network design under uncertainty", International Journal of Production Economics, 145(1), 184-198.
Esmailzadeh, Y, Sahebi, H. (2019). Design of reverse logistics supply chain network for municipal solid waste Case study: Modeling in Engineering, 17 (56), 313-325. (In Persian).
Kain, R., & Verma, A. (2018). Logistics management in supply chain–an overview. Materials today: proceedings, 5(2), 3811-3816.
Hosseini, P , Tavakoli Moghadam, R, Karbasian, M. (2015). Design of a single-purpose closed-loop supply chain network in hospital waste management, 12th International Conference on Industrial Engineering, Tehran(in persian).
Hemmati, Mohammad Amin and Zarei, Mahnaz. (2017). Identifying and prioritizing the effective components of supply chain logistics management in transportation networks with fuzzy network analysis approach (Case study: Petroleum Products Distribution Company of Fars region), Fourth International Conference Environmental Planning and Management, Tehran, (in Persian).
Karimi Govarshki, M. H, Semsarzadeh, P. (2019). Reverse Logistics in Supply Chain and its effective factors, International Conference on Strategies and Challenges of Industrial Management and Engineering, Tehran (in persian).
Liao, T. Y. (2018). Reverse logistics network design for product recovery and remanufacturing. Applied Mathematical Modelling, 60, 145-163.
Rostami, Ehsan, (2019), Investigating the Factors Affecting Product Recycling in a Reverse Supply Chain (Case Study: Biston Petrochemical), 6th Iranian National Conference on Management and Accounting, Hamedan, (in Persian).
Saremi, S, Taghi Pourbirgani, F. (2014). The Necessity of Reverse Logistics in Supply Chain, First National Conference on Industrial Engineering Research, Hamedan(in persian).
Shokohyar, S, Akbari, I. (2016). Designing a model for sustainable development of e-waste recycling, Production and Operations Management, 13, 137-152(in Persian).
Sunil, D. K., Mehta, U., & Kumar, R. (2020). Identification of the barriers of Reverse Supply Chain. International Journal, 8(2), 86-98.
Mehdi Nia, A , Behroush, M. (2016). Industrial Waste Management, Fourth Scientific Congress of New Horizons in the Field of Civil Engineering, Architecture, Culture and Urban Management of Iran, Tehran.
Vahidian, V; Davoodi, S. M. R. (2018). Identification and prioritization of inverse logistics solutions using the combined approach of fuzzy AHP and fuzzy TOPSIS (Case study: Mobarakeh Steel Company of Isfahan), Quarterly Journal of Business Research, 86, 125-164(in Persian).
Validi, H, Dehghanian, F. (2012). Design of Reverse Logistics Network in Sustainable Development Environment Using Multi-Choice Ideal Planning Technique and Utility Function, Logistics Conference and Supply Chain (in Persian).
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Alfonso-Lizarazo, E. H., Montoya-Torres, J. R., & Gutiérrez-Franco, E. (2013). Modeling reverse logistics process in the agro-industrial sector: The case of the palm oil supply chain. Applied Mathematical Modelling, 37(23), 9652-9664.
Alshamsi, A., & Diabat, A. (2017). A Genetic Algorithm for Reverse Logistics network design: A case study from the GCC. Journal of Cleaner Production, 151, 652-669
Bouzon, M., Govindan, K., & Rodriguez, C. M. T. (2018). Evaluating barriers for reverse logistics implementation under a multiple stakeholders’ perspective analysis using grey decision making approach. Resources, conservation and recycling, 128, 315-335.
De Rosa,. V., M. Gebhard, E. Hartmann and J. Wollenweber. (2013). Robust sustainable bi-directional logistics network design under uncertainty", International Journal of Production Economics, 145(1), 184-198.
Esmailzadeh, Y, Sahebi, H. (2019). Design of reverse logistics supply chain network for municipal solid waste Case study: Modeling in Engineering, 17 (56), 313-325. (In Persian).
Kain, R., & Verma, A. (2018). Logistics management in supply chain–an overview. Materials today: proceedings, 5(2), 3811-3816.
Hosseini, P , Tavakoli Moghadam, R, Karbasian, M. (2015). Design of a single-purpose closed-loop supply chain network in hospital waste management, 12th International Conference on Industrial Engineering, Tehran(in persian).
Hemmati, Mohammad Amin and Zarei, Mahnaz. (2017). Identifying and prioritizing the effective components of supply chain logistics management in transportation networks with fuzzy network analysis approach (Case study: Petroleum Products Distribution Company of Fars region), Fourth International Conference Environmental Planning and Management, Tehran, (in Persian).
Karimi Govarshki, M. H, Semsarzadeh, P. (2019). Reverse Logistics in Supply Chain and its effective factors, International Conference on Strategies and Challenges of Industrial Management and Engineering, Tehran (in persian).
Liao, T. Y. (2018). Reverse logistics network design for product recovery and remanufacturing. Applied Mathematical Modelling, 60, 145-163.
Rostami, Ehsan, (2019), Investigating the Factors Affecting Product Recycling in a Reverse Supply Chain (Case Study: Biston Petrochemical), 6th Iranian National Conference on Management and Accounting, Hamedan, (in Persian).
Saremi, S, Taghi Pourbirgani, F. (2014). The Necessity of Reverse Logistics in Supply Chain, First National Conference on Industrial Engineering Research, Hamedan(in persian).
Shokohyar, S, Akbari, I. (2016). Designing a model for sustainable development of e-waste recycling, Production and Operations Management, 13, 137-152(in Persian).
Sunil, D. K., Mehta, U., & Kumar, R. (2020). Identification of the barriers of Reverse Supply Chain. International Journal, 8(2), 86-98.
Mehdi Nia, A , Behroush, M. (2016). Industrial Waste Management, Fourth Scientific Congress of New Horizons in the Field of Civil Engineering, Architecture, Culture and Urban Management of Iran, Tehran.
Vahidian, V; Davoodi, S. M. R. (2018). Identification and prioritization of inverse logistics solutions using the combined approach of fuzzy AHP and fuzzy TOPSIS (Case study: Mobarakeh Steel Company of Isfahan), Quarterly Journal of Business Research, 86, 125-164(in Persian).
Validi, H, Dehghanian, F. (2012). Design of Reverse Logistics Network in Sustainable Development Environment Using Multi-Choice Ideal Planning Technique and Utility Function, Logistics Conference and Supply Chain (in Persian).
