Sustainable production and future trend
الموضوعات :
بهنام خسروزاده
1
(Faculty of Engineering , Science & Research Branch, Islamic Azad University, Tehran Iran)
الکلمات المفتاحية: Sustainable production, sustainable optimization, meta-synthesis methods,
ملخص المقالة :
Over the last 50 years the world’s population and industrialization have soared leading to increased resource use, pollution and waste, and in turn to problems including raw materials shortage and unsustainable increases in landfill areas environmental, social and economic expectation stakeholders of the company every day more and more. Designing products with reuse at end of life in mind is a key strategy towards these requirements like other manufacturers, producers of parts with many challenges faced in fulfilling these expectations. One of the challenges is how to establish sustainable production at the company, whose goal is research. This study was conducted in several stages, after the identification of sustainable production methods, utilizing the technique of meta-synthesis methods are combined. Then, using interpretive structural modeling, the establishment of the appropriate model for the industry is presented. In this article we cluster sustainability production and sustainable optimization in production in two separate parts. And look at some research in this field of study.
[1] S. Vandermerwe, M.D. Oliff, Corporate challenges for an age of reconsumption, Columbia Journal of World Business, 26 (1991) 6-25.
[2] A. Vakharia, B. Kaku, An investigation of the impact of demand changes on a cellular manufacturing system, Decision Sciences, 24 (1993) 909-930.
[3] M. Thierry, M. Salomon, J. Van Nunen, L. Van Wassenhove, Strategie issues in product recovery management, California management review, 37 (1995) 114-135.
[4] E. Van der Laan, R. Dekker, M. Salomon, Product remanufacturing and disposal: A numerical comparison of alternative control strategies, International Journal of Production Economics, 45 (1996) 489-498.
[5] E. Van der Laan, R. Dekker, M. Salomon, A. Ridder, An (s, Q) inventory model with remanufacturing and disposal, International journal of production economics, 46 (1996) 339-350.
[6] E. Van der Laan, M. Salomon, Production planning and inventory control with remanufacturing and disposal, European Journal of Operational Research, 102 (1997) 264-278.
[7] E. Van Der Laan, M. Salomon, R. Dekker, L. Van Wassenhove, Inventory control in hybrid systems with remanufacturing, Management science, 45 (1999) 733-747.
[8] E.M. Wicks, R.J. Reasor, Designing cellular manufacturing systems with dynamic part populations, IIE transactions, 31 (1999) 11-20.
[9] R. Kia, A. Baboli, N. Javadian, R. Tavakkoli-Moghaddam, M. Kazemi, J. Khorrami, Solving a group layout design model of a dynamic cellular manufacturing system with alternative process routings, lot splitting and flexible reconfiguration by simulated annealing, Computers & Operations Research, 39 (2012) 2642-2658.
[10] B. Erenay, G.A. Suer, J. Huang, S. Maddisetty, Comparison of layered cellular manufacturing system design approaches, Computers & Industrial Engineering, 85 (2015) 346-358.
[11] R. Kia, F. Khaksar-Haghani, N. Javadian, R. Tavakkoli-Moghaddam, Solving a multi-floor layout design model of a dynamic cellular manufacturing system by an efficient genetic algorithm, Journal of Manufacturing Systems, 33 (2014) 218-232.
[12] K. Das, W. Abdul-Kader, Consideration of dynamic changes in machine reliability and part demand: a cellular manufacturing systems design model, International Journal of Production Research, 49 (2011) 2123-2142.
[13] F.D. Nodem, J. Kenné, A. Gharbi, Simultaneous control of production, repair/replacement and preventive maintenance of deteriorating manufacturing systems, International Journal of Production Economics, 134 (2011) 271-282.
[14] M. Colledani, A. Yemane, Impact of Machine Reliability Data Uncertainty on the Design and Operation of Manufacturing Systems, Procedia CIRP, 7 (2013) 557-562.
[15] Y.-K. Lin, P.-C. Chang, Reliability evaluation for a manufacturing network with multiple production lines, Computers & Industrial Engineering, 63 (2012) 1209-1219.
[16] B.T. Han, C.B. Zhang, C.S. Sun, C.J. Xu, Reliability analysis of flexible manufacturing cells based on triangular fuzzy number, Communications in Statistics—Theory and Methods, 35 (2006) 1897-1907.
[17] M.M. Paydar, M. Saidi-Mehrabad, E. Teimoury, A robust optimisation model for generalised cell formation problem considering machine layout and supplier selection, International Journal of Computer Integrated Manufacturing, 27 (2014) 772-786.
[18] D. Rahmani, R. Ramezanian, P. Fattahi, M. Heydari, A robust optimization model for multi-product two-stage capacitated production planning under uncertainty, Applied Mathematical Modelling, 37 (2013) 8957-8971.
[19] F. Pan, R. Nagi, Robust supply chain design under uncertain demand in agile manufacturing, Computers & Operations Research, 37 (2010) 668-683.
[20] M. Sakhaii, R. Tavakkoli-Moghaddam, M. Bagheri, B. Vatani, A robust optimization approach for an integrated dynamic cellular manufacturing system and production planning with unreliable machines, Applied Mathematical Modelling, 40 (2016) 169-191.
[21] B. Sharda, A. Banerjee, Robust manufacturing system design using multi objective genetic algorithms, Petri nets and Bayesian uncertainty representation, Journal of Manufacturing Systems, 32 (2013) 315-324.
