A mathematical model for a reverse logistic system of chemical remanufacturing PET waste with supply uncertainty: A case study of Tehran recycling organization

Mollaei, F.; Makui, A.

Growing Science » Uncertain Supply Chain Management » A mathematical model for a reverse logistic system of chemical remanufacturing PET waste with supply uncertainty: A case study of Tehran recycling organization

Journals

USCM Volumes

Volume 1 (22)
- Issue 1 (4)
- Issue 2 (6)
- Issue 3 (6)
- Issue 4 (6)

Volume 2 (32)
- Issue 1 (7)
- Issue 2 (5)
- Issue 3 (10)
- Issue 4 (10)

Volume 3 (39)
- Issue 1 (9)
- Issue 2 (13)
- Issue 3 (10)
- Issue 4 (7)

Volume 4 (31)
- Issue 1 (10)
- Issue 2 (6)
- Issue 3 (6)
- Issue 4 (9)

Volume 5 (26)
- Issue 1 (6)
- Issue 2 (6)
- Issue 3 (8)
- Issue 4 (6)

Volume 6 (25)
- Issue 1 (7)
- Issue 2 (6)
- Issue 3 (6)
- Issue 4 (6)

Volume 7 (57)
- Issue 1 (8)
- Issue 2 (19)
- Issue 3 (14)
- Issue 4 (16)

Volume 8 (82)
- Issue 1 (20)
- Issue 2 (15)
- Issue 3 (17)
- Issue 4 (30)

Volume 9 (117)
- Issue 1 (25)
- Issue 2 (26)
- Issue 3 (32)
- Issue 4 (34)

Volume 10 (150)
- Issue 1 (28)
- Issue 2 (32)
- Issue 3 (44)
- Issue 4 (46)

Volume 11 (190)
- Issue 1 (42)
- Issue 2 (45)
- Issue 3 (50)
- Issue 4 (53)

Volume 12 (244)
- Issue 1 (55)
- Issue 2 (59)
- Issue 3 (63)
- Issue 4 (67)

Keywords

Authors

Countries

Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print) Quarterly Publication Volume 1 Issue 2 pp. 99-106 , 2013

A mathematical model for a reverse logistic system of chemical remanufacturing PET waste with supply uncertainty: A case study of Tehran recycling organization Pages 99-106 Download PDF

Authors: Fahimeh Mollaei, Ahmad Makui

DOI: 10.5267/j.uscm.2013.06.001

Keywords: Reverse logistic; PET (Polyethylene terephthalat) waste; Chemical remanufacturing Nonlinear probable planning

Abstract: During the past two decades, there has been a growing concern on environmental issues around the world. Firms try to provide better production plans to recycle their used materials to reduce pollution from environment. In fact, lack of management in municipal solid waste for methods of collecting, disposal and processing of them can be significant damage to the environment, This paper presents a mathematical model for pet waste management, which plays essential role on municipal solid waste. The modeling formulation is a nonlinear probable mathematical programming model for chemical recycling the PET waste. In this model, the optimal amount of waste is determined by considering collected operations of reverse logistics and chemical recycling when demand is under uncertainty.

How to cite this paper

 Mollaei, F & Makui, A. (2013). A mathematical model for a reverse logistic system of chemical remanufacturing PET waste with supply uncertainty: A case study of Tehran recycling organization.Uncertain Supply Chain Management, 1(2), 99-106.

Refrences

Abduli, M.A. (2008). Municipal Solid Waste Recovery. University of Tehran Press (In Persian).
Ahluwalia, P.K., & Nema, A.K. (2006). Multi-objective reverse logistics model for integrated computer waste management. Waste Management & Research, 24(6), 514-527.
Aras, N., Aksen, D., & Gönül Tanuğur, A. (2008). Locating collection centers for incentive-dependent returns under a pick-up policy with capacitated vehicles.European Journal of Operational Research, 191(3), 1223-1240.
Bautista, J., & Pereira, J. (2006). Modeling the problem of locating collection areas for urban waste management. An application to the metropolitan area of Barcelona, Omega, 34(6), 617-629.
Liste, O., & Dekker, R. (2005). A stochastic approach to a case study for product recovery network design. European Journal of Operational Research, 160(1), 268-287.
Omrani,Gh.A. (2010). Solid waste: content, Management, Collection, transportation, sanitary landfill and composting. Iran: Scientific Center of Islamic Azad University.
Ramezani, M., Bashiri, M., & Tavakkoli-Moghaddam, R. (2012). A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level. Applied Mathematical Modelling, 37(1-2), 328–344.
Rhyner, C. R. (1995). Waste management and resource recovery. CRC Press.
Sheu, J. B. (2007). A coordinated reverse logistics system for regional management of multi-source hazardous wastes. Computers & Operations Research, 34(5), 1442-1462.
Zhang, Y. M., Huang, G. H., & He, L. (2011). An inexact reverse logistics model for municipal solid waste management systems. Journal of Environmental Management, 92(3), 522-530.