Hybrid approach to forecast returns of scrapped products to recycling and remanufacturing

Marx-Gómez, Jorge; Rautenstrauch, Claus; Nürnberger, Andreas; Kruse, Rudolf

doi:10.1109/ific.2000.862675

Cited by 2 publications

(4 citation statements)

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“…They developed the method based on past sales volume to establish return Fuzzification probability and return delay distribution. Meanwhile, Marx-Gomez et al [12] developed a hybrid approach to determine the time of returns of scrapped products. They Inference Production considered previous sales, product life time using failure and usage model, and customers' behavior on returning Defuzzification products.…”

Section: Introductionmentioning

confidence: 99%

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Generating Fuzzy Coloured Petri Net Forecasting Model to Predict the Return of Products

Hanafi

Kara

Kaebernick

2007

Proceedings of the 2007 IEEE International Symposium on Electronics and the Environment

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Currently various collection strategies are implemented in different parts of the world to effectively collect returned Managing product return is one of the issues in reverse products. The characteristics of those collection strategies logistics which has been developing with increasing enviare affected by the country's intrinsic factors such as inronmental awareness. Currently various collection come, education, types of environmental practices, enstrategies are conducted throughout the world to gather actment of WEEE regulation, and contribution of related old products to be reused, recycled or reprocessed In parties to the program [1]. Therefore, in order to establish order to effectively collect those products, these strategies an optimum collection strategy that mimics the characterhave to be designed to suit various locations. Therefore, istics of the city, state, province or country, different information on the quantity of product returns in those strategies have to be designed to cater for different localocations is essential. This paper presents an implementations. Consequently, it is important to know the rate of tion of Fuzzy Coloured Petri Net forecasting model to returned products over a specific time period in various predict mobile phone returns in various locations in Auslocations. tralia. The results shows up to 90 percent forecast accu-PRODUCT RETURN FORECAST racy in predicting mobile phone returns.A product can be returned or discarded because of several Keywords reasons such as the end of product life, technology develReverse logistics, product returns forecast, Fuzzy Colopment, sale of new product and many others. As disoured Petri Nets cussed by Rose et al [5] and Stuart et al [6] there are a number of factors which are affecting product life such as INTRODUCTION technology development rapidity, consumer demands for The emerging issues on environment and technology have improvements and product reliability. However, people triggered vast amount of research in reverse logistics. seldom discard their product immediately after it reached Reverse logistics was developed as a result of public sendof if naddtiopeopledont always recyeo awareness to conserve the environment. This awareness is send the p u additfon, people do not always recycle or translated into legislative action by government in the tomers' precyclin behvor . Moreover lau ten [7] enactment of Waste Electrical and Electronic Equipment sugestedytoincluesales.'of eroducto red old direcive b Euroean Uion [], th Wast Avoiance suggested to include sales of new p roduct to p redict old directive by European Union [1], the Waste Avoidance product returns. This notion follows that people tend to and Resource Recovery Act 2001 by New South Wales discard old products after they buy a new one. government in Australia [2] and electronic equipment andTherefore, the factors contributing to product returns can product stewardship act across different states in the US be summarized into three main categories: social, techno-[3]. Apart from the e...

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Section: Introductionmentioning

confidence: 99%

“…Generate Fuzzy Rules Previous studies have been conducted to forecast the return of products [6, [10][11][12]. Toktay et al [10] developed a method to predict customers' behavior by considering the FCPN Forecast factors that influence return delay.…”

Section: Introductionmentioning

confidence: 99%

Generating Fuzzy Coloured Petri Net Forecasting Model to Predict the Return of Products

Hanafi

Kara

Kaebernick

2007

Proceedings of the 2007 IEEE International Symposium on Electronics and the Environment

View full text Add to dashboard Cite

show abstract

“…There are various forecasting method reported in the past (Kelle and Silver, 1989;Marx-Gomez et al, 2000Toktay et al, 2003;Stuart et al, 1998). However, those studies were only based on time series and did not consider the characteristics of the locations.…”

Section: Introductionmentioning

confidence: 99%

“…An effective collection strategy can be designed if the information on the rate of returned products for a period of time in a certain location is available. There are various forecasting method reported in the past (Kelle and Silver, 1989;Marx-Gomez et al, 2000Toktay et al, 2003;Stuart et al, 1998). However, those studies were only based on time series and did not consider the characteristics of the locations.…”

Section: Introductionmentioning

confidence: 99%

Reverse logistics strategies for end‐of‐life products

Hanafi

Kara

Kaebernick

2008

The International Journal of Logistics Management

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -End-of-life (EOL) products have become a major environmental issue among countries and manufacturers. This is due to the growing number of EOL products and their hazardous contents. Many collection strategies and pilot projects have been conducted to manage EOL products, especially Waste Electrical and Electronics equipments (WEEEs). However, as characteristics of a population are different to one another, a customized collection strategy is required. The purpose of this paper is to find an effective collection strategy which considers cost and environmental impact simultaneously. Design/methodology/approach -This paper presents an integrated collection strategy which combines a Fuzzy Colored Petri Net forecasting method and collection network model to collect EOL products. Colored Petri Net is used in modeling the integrated collection strategy. To test the collection strategy, a case study on mobile phone collection in Australia is presented. Findings -The integrated collection strategy developed in this paper finds that by providing demographic data and historical sales of a relevant product in a certain location, the best strategy to collect EOL products in that location can be determined. This paper finds that the best strategy that suits one location might be different to other locations. Originality/value -This paper presents a model which provides a customized collection strategy that follows the characteristics of a population. This strategy allows government organizations or manufacturers to simulate the strategies to collect EOL products in different locations.

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Hybrid approach to forecast returns of scrapped products to recycling and remanufacturing

Cited by 2 publications

References 11 publications

Generating Fuzzy Coloured Petri Net Forecasting Model to Predict the Return of Products

Generating Fuzzy Coloured Petri Net Forecasting Model to Predict the Return of Products

Reverse logistics strategies for end‐of‐life products

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