Optimizing reverse logistic costs for recycling end-of-life electrical and electronic products
Highlights
► A comprehensive recycling network model of WEEPs is developed. ► Transportation cost plays an important role in the recycling process. ► The optimal facility locations and the material flows can be determined. ► Several future research directions are suggested.
Introduction
Accelerating technological changes and market expansions of electrical and electronic products (EEPs) make these products obsolete very quickly, leading to a significant increase in waste EEPs (WEEPs). According to the Environmental Protection Agency (EPA), there are 20–50 million metric tons of WEEPs generated worldwide every year, comprising more than 5% of all municipal solid waste. Developing countries are estimated to triple their output of WEEPs by 2010. In the US alone, some 14–20 million personal computers are thrown out every year. In Western Europe, 6 million tons of WEEPs were generated in 1998 and the amount of WEEPs is expected to increase by at least 3–5% per annum. By 2010, the European Union will be producing around 12 millions tons of electrical and electronic waste annually (Nagel, 1997). In China, it was estimated that about 1.6 million obsolete EEPs were generated in 2003 with TV accounting for nearly half of the total (Liu, Tanaka, & Matsui, 2006).
WEEPs are non-homogeneous and complex in terms of materials and components. Some of their material or components are highly toxic (Dimitrakakis et al., 2009, Hicks et al., 2005), while some others may have high residual value (Achillas et al., 2010, He et al., 2006, Iakovou et al., 2009, Kang and Schoenung, 2005, Kumar and Putnam, 2008, Nnorom and Osibanjo, 2009, Truttmann and Rechberger, 2006). In view of the negative effects of WEEPs on the environment and humans, and the valuable materials that can be extracted and reused from WEEPs, legislations in many countries have focused their attention on the management of WEEPs, and new techniques have been developed for the recovery of WEEPs. In particular, the European Union (EU) adopted the 2002/96/EC and 2002/95/EC (Restriction of Hazardous Substances-RoHS directive), which causes essential changes in the field of electronic scrap recycling (Directive 2002/96/EC and Directive 2002/95/EC). Producers are requested to finance the collection, treatment, recovery, and environmentally sound disposal of WEEPs. The directive imposes a high recycling rate of all targeted WEEPs. Reuse, recycling and recovery rates ranging from 50% to 80% according to the category of the equipment considered, must be achieved by producers of EEPs (He et al., 2006).
Since the reverse logistic of WEEPs is an important step of WEEPs treatment, there is a growing number of research on material recycling models for specific products (Barros et al., 1998, Kroon and Vrijens, 1995, Nunes et al., 2009, Realff et al., 1999, Reynaldo and Jurgen, 2009, Slack et al., 2009, Spengler et al., 1997), as well as reverse logistic networks (Demirel and Gökçen, 2008, El-Sayed et al., 2010, Fleischmann et al., 2000, Jayaraman et al., 1999, Kannan et al., 2010, Mutha and Pokhare, 2009, Salema et al., 2006, Williams et al., 2007). However, studies specifically addressing WEEPs problems (Deepali et al., 2005, Geraldo and Chang, 2010, Grunow and Gobbi, 2009, Jang and Kim, 2010, Lee et al., 2000, Liu et al., 2006, Rahimifard et al., 2009) are rare and still limited to some specific areas of WEEPs reverse logistics. Therefore, this paper presents a mathematical model for multi-products reverse logistic network so that the total reverse logistic cost can be minimized. The monetary factors considered in the model include the cost of collection, treatment, and transportation as well as sales income from returned products. Based on the proposed model, the optimal facility locations and the material flows in the reverse logistic network can be determined.
The rest of the paper is organized as follows. The reverse logistic network model is proposed in Section 2. Section 3 contains the mathematical formulation of the model. The proposed model is illustrated through an example in Section 4. Finally, conclusions are provided in Section 5.
Section snippets
Reverse logistic model
Reverse logistics is the collection and transportation of used products and packages (Mutha & Pokhare, 2009). Various researchers classified the reverse logistic process differently. Fleischmann et al. (2000) categorized the recovery process into collection, inspection/separation, re-processing, disposal and re-distribution. Liu, Liu, Wang, and Liu (2002) and He et al. (2006) defined recovery process as a combination of re-use, service, re-manufacture, recycle, and disposal, while Thierry,
Formulation of the model
The various assumptions considered in the proposed model are as follows.
- 1.
The model considers a multi-echelon, multi-returned products reverse logistic network.
- 2.
The numbers of collection sites and final sites are fixed.
- 3.
The capacities of disassembly, repairing, recycling facilities are limited.
- 4.
The transportation cost is proportional to the distance traveled.
- 5.
Cost parameters (fixed, material, operation, transportation, recycling, disassembly, and disposal costs) are known.
- 6.
The holding costs, storage
Numerical example
The proposed model is illustrated through an example in this section. In the example, there are three collection sites (C1, C2, C3) and three types of final sites, namely primary market (P1, P2), secondary market (R1, R2), and disposal (K1). There are three disassembly facilities (D1, D2, D3) and two types of treatment sites: repair facilities (F1, F2) and recycling facilities (L1, L2). Three types of returned products, namely computers (S1), televisions (S2), and cell phones (S3), and their sixteen
Conclusion
This paper proposes a recycling network model to minimize the total costs involved in the recycling process. Most of the previous researches on reverse logistic only considered simplified recycling networks. This paper has attempted to extend previous researches to model a more complete recycling network with various treatment sites and final sites for multiple types of WEEPs. The proposed model considers four stages of the recycling process including collection sites, disassembly sites,
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