| تعداد نشریات | 31 |
| تعداد شمارهها | 834 |
| تعداد مقالات | 8,015 |
| تعداد مشاهده مقاله | 14,855,648 |
| تعداد دریافت فایل اصل مقاله | 9,588,475 |
OPTIMAL LOT-SIZING DECISIONS WITH INTEGRATED PURCHASING, MANUFACTURING AND ASSEMBLING FOR REMANUFACTURING SYSTEMS | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 2، دوره 15، شماره 3، مرداد و شهریور 2018، صفحه 1-26 اصل مقاله (629.78 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2018.3946 | ||
| نویسنده | ||
| Tai-Sheng Su* | ||
| Department of Industrial Management, National Pingtung University of Science and Technology, Hsueh-Fu Rd., Nei Pu Hsiang, Pingtung, 912, Taiwan | ||
| چکیده | ||
| This work applies fuzzy sets to the integration of purchasing, manufacturing and assembling of production planning decisions with multiple suppliers, multiple components and multiple machines in remanufacturing systems. The developed fuzzy multi-objective linear programming model (FMOLP) simultaneously minimizes total costs, total $\text{CO}_2$ emissions and total lead time with reference to customer demand, due date, supplier/manufacturer capacity, lot-size release and machine yield. The proposed FMOLP model provides a recoverable remanufacturing framework that facilitates fuzzy decision-making, enabling the decision maker (DM) to adjust interactively the membership function or parameters during the solution procedure to obtain a preferred and satisfactory solution. To test the model, it was implemented in various scenarios with a remanufacturing production system. The analytical results in this work can help planner by enabling systematic analysis of the cost-effectiveness of remanufacturing systems and their potential for improving $\text{CO}_2$ emissions and lead time in terms of remanufacturing planning. Future investigations may apply the related patterns of non-linear membership functions to develop an actual remanufacturing planning decision. | ||
| کلیدواژهها | ||
| Recoverable remanufacturing؛ Lot-sizing؛ Fuzzy multi-objective linear programming؛ $text{CO}_2$ emissions | ||
| مراجع | ||
|
[1] A. A. Alamri, Theory and methodology on the global optimal solution to a general reverse logistics inventory model for deteriorating items and time-varying rates, Comput. Ind. Eng., 60 (2011), 236{247. [2] R. E. Bellman and L. A. Zadeh, Decision making in a fuzzy environment, Manage. Sci., 17 (1970), 141{164. [3] L. E. Cardenas-Barron, J. L. Gonzalez-Velarde and G. Trevi~no-Garza, A new approach to solve the multi-product multi-period inventory lot sizing with supplier selection problem, Comput. Ind. Eng., 64 (2015), 225{232. [4] D. M. Carvalho and M. C. V. Nascimento, Lagrangian heuristics for the capacitated multi- plant lot sizing problem with multiple periods and items, Comput. Ind. Eng., 71 (2016), 137{148. [5] I. Dobos, Optimal production-inventory strategies for a HMMS-type reverse logistics system, Int. J. Prod Econ., 81{82 (2003), 351{360. [6] Y. Feng and S. Viswanathan, A new lot-sizing heuristic for manufacturing systems with product recovery, Int. J. Prod. Econ., 133 (2011), 432{438. [7] P. Georgiadis and E. Athanasiou, Flexible long-term capacity planning in closed-loop supply chains with remanufacturing, Eur. J. Oper. Res., 225 (2013), 44{58. [8] V. D. R. Guide Jr, V. Jayaraman and J. D. Linton, Building contingency planning for closed- loop supply chains with product recovery, J. Oper. Manag., 21 (2003), 259{279. [9] V. D. R. Guide Jr, V. Jayaraman and R. Srivastava, Production planning and control for remanufacturing: a state-of-the-art survey, Robot. CIM. Int. Manuf, 15 (1999), 221{230. [10] V. D. R. Guide Jr., Production planning and control for remanufacturing: industry practice and research needs, J. Oper. Manag., 18 (2000), 467{483. [11] E. L. Hannan, Linear programming with multiple fuzzy goals, Fuzzy Set. Syst., 6 (1981), 235{248. [12] H. C. Hwang and J. Kang, Two-phase algorithm for the lot-sizing problem with backlogging for stepwise transportation cost without speculative motives, Omega, 59 (2016), 238{250. [13] S. Jorjani, J. Leu and C. Scott, Model for the allocation of electronics components to reuse options, Int. J. Prod. Res., 42 (2004), 1131{1145. [14] S. Kernbaum, S. Heyer, S. Chiotellis and G. Seliger,Process planning for IT-equipment re- manufacturing, CIRP-JMST, 2 (2009), 13{20. [15] I. Konstantaras and S. Papachristos, Note on: an optimal ordering and recovery policy for reusable items, Comput. Ind. Eng., 55 (2008), 729{734. [16] B. Lebreton and A. Tuma, A quantitative approach to assessing the profitability of car and truck tire remanufacturing, Int. J. Prod Econ., 104 (2006), 639{652. [17] Y. Li, J. Chen and X. Cai, Heuristic genetic algorithm for capacitated production planning problems with batch processing and remanufacturing, Int. J. Prod. Econ., 105 (2007), 301{ 317. [18] J. Marx-Gomez, C. Rautenstrauch, A. Nurnberger and R. Kruse, Neuro-fuzzy approach to forecast returns of scrapped products to recycling and remanufacturing, Knowl-based Syst., 15 (2002), 119{128. [19] K. S. Moghaddam, Fuzzy multi-objective model for supplier selection and order allocation in reverse logistics systems under supply and demand uncertainty, Expert Syst. Appl., 42 (2015), 6237{6254. [20] P. Pi~neyro and O. Viera, The economic lot-sizing problem with remanufacturing and one-way substitution, Int. J. Prod. Econ., 124 (2010), 482{488. [21] T. S. Su, Fuzzy multi-objective recoverable remanufacturing planning decisions involving mul- tiple components and multiple machines, Comput. Ind. Eng., 72 (2014), 72{83. [22] T. S. Su and Y. F. Lin, Fuzzy multi-objective procurement/production planning decision problems for recoverable manufacturing systems, J. Manuf. Syst., 37 (2015), 396{408. [23] R. Subramoniam, D. Huisingh and R. B. Chinnam, Aftermarket remanufacturing strategic planning decision-making framework: theory & practice, J. Clean. Prod., 18 (2010), 1575{ 1586. [24] R. Subramoniam, D. Huisingh, R. B. Chinnam and S. Subramoniam, Remanufacturing decision-making framework (RDMF): research validation using the analytical hierarchical process, J. Clean. Prod., 40 (2013), 212{220. [25] J. W. Sutherland, T. L. Jenkins and K. R. Haapala, Development of a cost model and its application in determining optimal size of a diesel engine remanufacturing facility, CIRP Ann-manuf. Techn., 59 (2010), 49{52. [26] O. Tang, R. W. Grubbstrom and S. Zanoni, Planned lead time determination in a make-to- order remanufacturing system, Int. J Prod. Econ., 108 (2007), 426{435. [27] W. H. Tsai, W. R. Lin, Y. W. Fan, P. L. Lee, S. J. Lin and J. L. Hsu, Applying a mathematical programming approach for a green product mix decision, Int. J. Prod. Res., 50 (2012), 1171{ 1184. [28] B. Vahdani, M. Zandieh and V. Roshanaei, A hybrid multi-stage predictive model for supply chain network collapse recovery analysis: a practical framework for effective supply chain network continuity management, Int. J. Prod. Res., 49 (2011), 2035{2060. [29] E. Van der Laan and M. Salomon, Production planning and inventory control with remanu- facturing and disposal, Eur. J. Oper. Res., 102 (1997), 264{278. [30] E. Van der Laan, M. Salomon and R. Dekker, An investigation of lead-time effects in man- ufacturing/remanufacturing systems under simple PUSH and PULL control strategies, Eur. J. Oper. Res., 115 (1999), 195{214. [31] D. Vlachos, P. Georgiadis and E. Iakovou, A system dynamics model for dynamic capacity planning of remanufacturing in closed-loop supply chains, Comput. Ind. Eng., 34 (2007), 367{394. [32] J. Voros and G. Rappai, Process quality adjusted lot sizing and marketing interface in JIT environment, Appl. Math. Model., 40 (2016), 6708{6724. [33] R. C. Wang and T. F. Liang, Application of fuzzy multi-objective linear programming to aggregate production planning, Comput. Ind. Eng., 46 (2004), 17{41. [34] C. Wei, Y. Li and X. Cai, Robust optimal policies of production and inventory with uncertain returns and demand, Int. J. Prod. Econ., 134 (2011), 357{367. [35] M. Zangiabadi and H.R. Maleki, Fuzzy goal programming technique to solve multiobjec- tive transportation problems with some non-linear membership functions, Iranian Journal of Fuzzy Systems, 10(1) (2013), 61{74. | ||
|
آمار تعداد مشاهده مقاله: 1,160 تعداد دریافت فایل اصل مقاله: 759 |
||