Conference Record 2002 IEEE International Symposium on Electronics and the Environment (Cat. No.02CH37273)
DOI: 10.1109/isee.2002.1003277
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Integrated planning of electronic scrap disassembly and bulk recycling

Abstract: The development of cost-eflcient recove y concepts for discarded electronic products can be supported by the detailed analysis of material flows. This paper presents a sophisticated operations research model for integrated disassembly and bulk recycling planning problems. In a project that was carried out with a major German electronic scrap recycling enterprise, the daily program of recovered products and recove y operations had to be determined by a cost-efficient recycling program. The program takes into ac… Show more

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Cited by 6 publications
(4 citation statements)
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“…A mixed-integerlinear-programming (MILP) model for integrated disassembly and bulk recycling was developed, implemented and solved by Ploog and Spengler [17]. The bulk recycling, disassembly recycling, and smelter recycling were also introduced by Sodhi and Reimer [18], and based on different recovery modes, the corresponding mathematical model (setting benefits as the objective) function was developed to explain battery recycling problem; Nagurney and Toyasaki [19] depicted resources, recyclers, processors and demand market, which constituted the electronic product recycling system, followed by mathematical functions to describe the behaviour of main bodies in recovery process and explored the corresponding algorithm in the end; Savaskan et al [20] addressed the problem of choosing appropriate reverse channel structure for the collection of spent products from customers, and summarized three options for collecting such products:(1) collecting them herself directly from the customers, (2) providing suitable incentives to an existing retailer to induce the collection, or (3) subcontracting the collection activity to a third party.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A mixed-integerlinear-programming (MILP) model for integrated disassembly and bulk recycling was developed, implemented and solved by Ploog and Spengler [17]. The bulk recycling, disassembly recycling, and smelter recycling were also introduced by Sodhi and Reimer [18], and based on different recovery modes, the corresponding mathematical model (setting benefits as the objective) function was developed to explain battery recycling problem; Nagurney and Toyasaki [19] depicted resources, recyclers, processors and demand market, which constituted the electronic product recycling system, followed by mathematical functions to describe the behaviour of main bodies in recovery process and explored the corresponding algorithm in the end; Savaskan et al [20] addressed the problem of choosing appropriate reverse channel structure for the collection of spent products from customers, and summarized three options for collecting such products:(1) collecting them herself directly from the customers, (2) providing suitable incentives to an existing retailer to induce the collection, or (3) subcontracting the collection activity to a third party.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The simulation-based model: Ploog and Spengler (2002) assumed the electronic products recovery mode and developed a mathematical model with an application involving lingo procedures. The raw materials management model was built by Tserng, Yin and Li (2006), this model described its objectives and constraints, and subsequently simulations were carried out based on Visual Basic 6.0 and Microsoft SQL, discovering that the structure of supply chain inventory cost is mostly affected by the total inventory cost.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A sophisticated operations research model was offered by Ploog and Spengler (2002) for integrated disassembly and bulk-recycling planning; it included mixed-integer nonlinear programming. The authors tried to resolve questions such as the following: What discarded products should be chosen for treatment?…”
Section: Recycling Models Reviewmentioning
confidence: 99%