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Inventory models with multiple production and remanufacturing batches under shortages

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Owing to the ecological requirements and regulations, an enormous concern is being paid to the product re-processing. In the established literature, researchers considered that the remanufactured items are as good as the new ones. Yet, such an assumption is not convenient, as in many real situations the recycled products are considered by the customers to be of secondary quality. Further, the classical studies mainly addressed the inventory models without shortages, and this is not applicable in many practical business situations. This paper extends the reverse logistics inventory models with finite production and remanufacturing rate along with the assumption that newly produced and repaired (remanufactured) objects are not of same characteristics. Shortages are allowed and numerous stock-out cases are discussed. The collected used items are remanufactured (repaired) and non-repaired products are disposed off. The proposed models are illustrated with some numerical examples and their results are discussed.
Słowa kluczowe
Rocznik
Strony
385--416
Opis fizyczny
Bibliogr. 21 poz., rys.
Twórcy
autor
  • Department of Mathematics, C.C.S. University, Meerut-200005 (U.P.), India
autor
  • Department of Mathematics, C.C.S. University, Meerut-200005 (U.P.), India
autor
  • Department of Mathematics, IITRAM, Ahmedabad-380026 (Gujarat), India
Bibliografia
  • [1] Alamri, A.A. (2011) Theory and methodology on the global optimal solution to a general reverse logistics inventory model for deteriorating items and time-varying rates. Computers & Industrial Engineering, 60 (2), 236–247.
  • [2] Bazan, E., Jaber, M.Y., Zanoni, S. (2016) A review of mathematical inventory models for reverse logistics and the future of its modeling: An environmental perspective. Applied Mathematical Modelling, 40 (5-6), 4151–4178.
  • [3] Dobos, I., Richter, K., (2003) A production/recycling model with stationary demand and return rates. Central European Journal of Operations Research, 11 (1), 35–46.
  • [4] Dobos, I., Richter, K. (2004) An extended production/recycling model with stationary demand and return rates. International Journal of Production Economics, 90 (3), 311–323.
  • [5] Dobos, I., Richter, K., (2006) A production/recycling model with quality consideration. International Journal of Production Economics, 104 (2), 571–579.
  • [6] El Saadany, A.M.A., Jaber, M.Y., Bonney, M. (2013) How many times to remanufacture? International Journal of Production Economics, 143, 598–604.
  • [7] Hasanov, P., Jaber, M.Y., Zolfaghari, S. (2012) Production remanufacturing and waste disposal model for the cases of pure and partial backordering. Applied Mathematical Modelling, 36 (11), 5249–5261.
  • [8] Jaber, M.Y., El Saadany, A.M.A. (2009) The production, remanufacture and waste disposal model with lost sales. International Journal of Production Economics, 120 (1), 115–124.
  • [9] Nahmias, N., Rivera, H. (1979) A deterministic model for a repairable item inventory system with a finite repair rate. International Journal of Production Research, 17 (3), 215–221.
  • [10] Richter, K. (1996a) The EOQ repair and waste disposal model with variable setup numbers. European Journal of Operational Research, 95 (2), 313– 324.
  • [11] Richter, K. (1996b) The extended EOQ repair and waste disposal model. International Journal of Production Economics, 45 (1–3), 443–447.
  • [12] Richter, K. (1997) Pure and mixed strategies for the EOQ repair and waste disposal problem. OR Spectrum, 19 (2), 123–129.
  • [13] Richter, K., Dobos, I. (1999) Analysis of the EOQ repair and waste disposal model with integer setup numbers. International Journal of Production Economics, 59 (1–3), 463–467.
  • [14] Schrady, D.A. (1967) A deterministic inventory model for repairable items. Naval Research Logistics Quarterly, 14 (3), 391–398.
  • [15] Singh, N., Vaish, B., Singh, S.R. (2012) An economic production lot-size (EPLS) model with rework and flexibility under allowable shortages. International Journal of Procurement Management, 5 (1), 104–122.
  • [16] Singh, S.R., Saxena, N. (2012) An optimal returned policy for a reverse logistics inventory model with backorders. Advances in Decision Sciences, Article ID 386598, 21 pages.
  • [17] Singh, S.R., Sharma, S. (2013a) A global optimizing policy for decaying items with ramp-type demand rate under two-level trade credit financing taking account of preservation technology. Advances in Decision Sciences, Article ID 126385, 12 pages.
  • [18] Singh, S.R., Sharma, S. (2013b) An integrated model with variable production and demand rate under inflation. International Conference on Computational Intelligence: Modelling, Techniques and Applications (CIMTA2013). Procedia Technology, 10, 381–391.
  • [19] Singh, S.R., Sharma, S. (2014) Optimal trade-credit policy for perishable items deeming imperfect production and stock dependent demand. International Journal of Industrial Engineering Computations, 5 (1), 151–168.
  • [20] Singh, S.R., Sharma, S. (2016) A production reliable model for deteriorating products with random demand and inflation. International Journal of Systems Science: Operations & Logistics, DOI: 10.1080/23302674.2016. 1181221.
  • [21] Teunter, R.H. (2001) Economic ordering quantities for recoverable item inventory systems. Naval Research Logistics, 48 (6), 484–495.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-84d23a17-e4cf-415c-828e-52410b02ed1f
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