Managing Environmentally Conscious in Designing Closed-loop Supply Chain for the Paper Industry

Authors

1 Department of Industrial Engineering, Science and Research branch, Islamic Azad University, Tehran, Iran

2 School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

3 Department of Industrial Engineering, Alzahra University, Tehran, Iran

Abstract

High amounts of waste paper are disposed of every year in Iran posing the health hazard and environmental damages instead of being recovered. Collection, recovery and proper disposal of waste paper without damaging the environment need to design an efficient closed-loop supply chain network. The main objective of this paper is introducing a bi-objective, multi-echelon, multi-product and single-period logistics network design model in the paper industry while taking into the environmental issues. Alternative recovery options such as recycling with technology selection and energy recovery are considered simultaneously in this model. A life cycle assessment method ISO is utilized for quantifying the environmental impact along the closed-loop supply chain. The model is applied to an illustrative case study of the paper industry in East Azerbaijan of Iran and fuzzy goal programming method is used for solving the proposed bi-objective network optimization model. Also, sensitivity analysis of the proposed model is performed designing different scenarios.

Keywords

References

1.     Yarahmadi, M., Salehi, N. and Salari, H., "Practical strategies to reduce the amount of paper consumption: As study on iranian paper industry", Indian Journal of Fundamental and Applied Life Sciences,  Vol. 4, (2014), 2231- 6345.
2.     Fleischmann, M., Beullens, P., BLOEMHOF‐RUWAARD, J.M. and Wassenhove, L.N., "The impact of product recovery on logistics network design", Production and Operations Management,  Vol. 10, No. 2, (2001), 156-173.
3.     Pati, R.K., Vrat, P. and Kumar, P., "A goal programming model for paper recycling system", Omega,  Vol. 36, No. 3, (2008), 405-417.
4.     Kara, S.S. and Onut, S., "A two-stage stochastic and robust programming approach to strategic planning of a reverse supply network: The case of paper recycling", Expert Systems with Applications,  Vol. 37, No. 9, (2010), 6129-6137.
5.     Schweiger, K. and Sahamie, R., "A hybrid tabu search approach for the design of a paper recycling network", Transportation Research Part E: Logistics and Transportation Review,  Vol. 50, No., (2013), 98-119.
6.     Zhou, X. and Zhou, Y., "Designing a multi-echelon reverse logistics operation and network: A case study of office paper in beijing", Resources, Conservation and Recycling,  Vol. 100, (2015), 58-69.
7.     Dehghanian, F. and Mansour, S., "Designing sustainable recovery network of end-of-life products using genetic algorithm", Resources, Conservation and Recycling,  Vol. 53, No. 10, (2009), 559-570.
8.     Fleischmann, M., Bloemhof-Ruwaard, J.M., Dekker, R., Van der Laan, E., Van Nunen, J.A. and Van Wassenhove, L.N., "Quantitative models for reverse logistics: A review", European Journal of Operational Research,  Vol. 103, No. 1, (1997), 1-17.
9.     Uster, H., Easwaran, G., Akcali, E. and Cetinkaya, S., "Benders decomposition with alternative multiple cuts for a multi‐product closed‐loop supply chain network design model", Naval Research Logistics (NRL),  Vol. 54, No. 8, (2007), 890-907.
10.   Ilgin, M.A. and Gupta, S.M., "Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art", Journal of Environmental Management,  Vol. 91, No. 3, (2010), 563-591.
11.   Du, F. and Evans, G.W., "A bi-objective reverse logistics network analysis for post-sale service", Computers & Operations Research,  Vol. 35, No. 8, (2008), 2617-2634.
12.   Kannan, G., Sasikumar, P. and Devika, K., "A genetic algorithm approach for solving a closed loop supply chain model: A case of battery recycling", Applied Mathematical Modelling,  Vol. 34, No. 3, (2010), 655-670.
13.   Akçalı, E. and Cetinkaya, S., "Quantitative models for inventory and production planning in closed-loop supply chains", International Journal of Production Research,  Vol. 49, No. 8, (2011), 2373-2407.
14.   Khajavi, L.T., Seyed-Hosseini, S.-M. and Makui, A., "An integrated forward/reverse logistics network optimization model for multi-stage capacitated supply chain", iBusiness,  Vol. 3, No. 02, (2011), 229-237.
15.   Amin, S.H. and Zhang, G., "A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return", Applied Mathematical Modelling,  Vol. 37, No. 6, (2013), 4165-4176.
16.   Devika, K., Jafarian, A. and Nourbakhsh, V., "Designing a sustainable closed-loop supply chain network based on triple bottom line approach: A comparison of metaheuristics hybridization techniques", European Journal of Operational Research,  Vol. 235, No. 3, (2014), 594-615.
17.   Yazdi, A.A. and Honarvar, M., "A two stage stochastic programming model of the price decision problem in the dual-channel closed-loop supply chain", International Journal of Engineering-Transactions B: Applications,  Vol. 28, No. 5, (2015), 738-745.
18.   Ghomi-Avili, M., Tavakkoli-Moghaddam, R., Jalali, G. and Jabbarzadeh, A., "A network design model for a resilient closed-loop supply chain with lateral transshipment", International Journal of Engineering-Transactions C: Aspects,  Vol. 30, No. 3, (2017), 374-382.
19.   Zhalechian, M., Tavakkoli-Moghaddam, R. and Rahimi, Y., "A self-adaptive evolutionary algorithm for a fuzzy multi-objective hub location problem: An integration of responsiveness and social responsibility", Engineering Applications of Artificial Intelligence,  Vol. 62, No., (2017), 1-16.
20.   Zhalechian, M., Tavakkoli-Moghaddam, R., Rahimi, Y. and Jolai, F., "An interactive possibilistic programming approach for a multi-objective hub location problem: Economic and environmental design", Applied Soft Computing,  Vol. 52, (2017), 699-713.
21.   Mohammadi, M., Tavakkoli-Moghaddam, R., Siadat, A. and Rahimi, Y., "A game-based meta-heuristic for a fuzzy bi-objective reliable hub location problem", Engineering Applications of Artificial Intelligence,  Vol. 50, (2016), 1-19.
22.   Ness, B., Urbel-Piirsalu, E., Anderberg, S. and Olsson, L., "Categorising tools for sustainability assessment", Ecological Economics,  Vol. 60, No. 3, (2007), 498-508.
23.   Borrion, A.L., McManus, M.C. and Hammond, G.P., "Environmental life cycle assessment of bioethanol production from wheat straw", Biomass and Bioenergy,  Vol. 47, (2012), 9-19.
24.   Mota, B., Gomes, M.I., Carvalho, A. and Barbosa-Povoa, A.P., "Towards supply chain sustainability: Economic, environmental and social design and planning", Journal of Cleaner Production,  Vol. 105, (2015), 14-27.
25.   Lopes, E., Dias, A., Arroja, L., Capela, I. and Pereira, F., "Application of life cycle assessment to the portuguese pulp and paper industry", Journal of Cleaner Production,  Vol. 11, No. 1, (2003), 51-59.
26.   Dias, A.C., Arroja, L. and Capela, I., "Life cycle assessment of printing and writing paper produced in portugal", The International Journal of Life Cycle Assessment,  Vol. 12, No. 7, (2007), 521-530.
27.   Organization, I.S., "Iso 14040: Environmental management-life cycle assessment-principles and framework,  (1997).
28.   Standardization, I.O.f., "Environmental management-life cycle assessment-goal and scope definition and inventory analysis, International Organization for Standardization,  (1998).
29.   ISO, I., "14043: Environmental management–life cycle assessment–life cycle interpretation", ENISO,  Vol. 14043, (2000).
30.   ISO, I., "14042: Environmental management-life cycle assessment-life cycle interpretation", ENISO,  Vol. 14043, (2000).
31.   Ghodratnama, A., Tavakkoli-Moghaddam, R. and Azaron, A., "Robust and fuzzy goal programming optimization approaches for a novel multi-objective hub location-allocation problem: A supply chain overview", Applied Soft Computing,  Vol. 37, (2015), 255-276.
International Journal of Engineering
Volume 30, Issue 7
TRANSACTIONS A: Basics
July 2017
Pages 1038-1047

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