Forecasting product returns for remanufacturing systems

Liang, Xavier; Jin, Xiaoning; Ni, Jun

doi:10.1186/s13243-014-0008-x

Cited by 20 publications

(9 citation statements)

References 20 publications

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“…There is a lot of uncertainty in terms of quality, quantity, and timing of product returns particularly the end of life products. These uncertainties may result in inefficiency in planning and control of reverse supply chain [20]. The short-term forecasting is managed by the organization through tracking of sales from the distributors.…”

Section: Returned Products Acquisition and Collection Issuesmentioning

confidence: 99%

Reverse supply chain issues in Indian electronics industry: a case study

2018

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Achieving a sustainable consumption and production pattern is one of the United Nation's sustainable development goals for 2030. To achieve this, it is necessary to consider the environmental burden from a product life cycle and the quality of life of the consumer. In this study, a systematic approach for connecting basic human needs and the product development process, called the living-sphere approach, is proposed. This approach is intended to encompass the complete relationship between region-specific basic needs and durable products. In this approach, value graphs, which visualize the value system of products, are connected to satisfiers fulfilling the basic needs set out by Max-Neef. A value graph links satisfiers and the traditional product development process. The significance of the proposed approach is twofold. First, improving quality of daily life and traditional product development are combined in the same framework. Second, the design of single products and the total optimization of multi-products are supported at the requirement level.

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Section: Returned Products Acquisition and Collection Issuesmentioning

confidence: 99%

Reverse supply chain issues in Indian electronics industry: a case study

2018

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“…Umeda et al [103] describes the relation between product returns and demand for single-use cameras, photocopiers, and automatic teller machines based on empirical data. Liang et al [67] develop forecasting models to describe both the quantity and the quality of the return. Using different mathematical models, such as Bass diffusion model, Weibull distribution and inverse Gaussian functions, this study incorporates information of product sales, customer return behavior and product life expectancy.…”

Section: Overviewmentioning

confidence: 99%

Core (product) Acquisition Management for remanufacturing: a review

2015

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractCore acquisition is essential for the success of remanufacturing business. To describe the current status of the quantitative research in Core Acquisition Management and to indicate possible future research directions, a literature review is conducted in this paper about the quantitative modeling in Core Acquisition Management research area. The activities included in Core Acquisition Management are categorized into topics such as acquisition control, forecasting return, return strategies, quality classification and reverse channel design. While most of the studies focus on acquisition control, studies on return strategies and return forecast are relatively limited. Furthermore, this paper analyzes the research papers according to the key assumptions such as, hybrid/non-hybrid remanufacturing systems, acquisition functions, quality classification methods and perfect/imperfect substitutions. In conclusion, studies based on the assumptions of non-hybrid remanufacturing systems and imperfect substitution should gain more attentions, since these situations frequently occur in practice but are less investigated in the existing literature. In addition, empirical validation of the various forms of the acquisition function (relations between acquisition incentives and acquisition volume) should be important for further investigations.

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“…“ The challenges for forecasting of product returns are mainly from two sources: lack of quality/credible data and unproven assumptions ” (Liang, Jin, & Ni, , p. 3). It is safe to conclude that returns forecasting remains open for contributions.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Forecasting for remanufacturing: The effects of serialization

Goltsos

Syntetos

Laan

2019

J of Ops Management

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Remanufacturing operations rely upon accurate forecasts of demand and returned items. Return timing and quantity forecasts help estimate net demand (demand minus returns) requirements. Based on a unique data set of serialized transactional issues and returns from the Excelitas Group and one of their defense contractors, Qioptiq, we assess the empirical performance of some key methods in the area of returns forecasting. We extend their application (for net demand forecasting), by considering that demand is also subject to uncertainty and thus needs to be forecast. Information on remanufacturing costs allows for an evaluation of the inventory implications of such forecasts under various settings. A foray into the literature on information technologies enables a discussion on the interface between information availability and forecast accuracy and utility. We find that serialization accounts for considerable forecast accuracy benefits, and that the accuracy of demand forecasts is as important as that of returns. Further, we show how the combined returns and demand forecast uncertainty affects the inventory performance. Finally, we identify opportunities for further improvements for the operations of Qioptiq, and for remanufacturing operations in general.

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Forecasting product returns for remanufacturing systems

Cited by 20 publications

References 20 publications

Reverse supply chain issues in Indian electronics industry: a case study

Reverse supply chain issues in Indian electronics industry: a case study

Core (product) Acquisition Management for remanufacturing: a review

Forecasting for remanufacturing: The effects of serialization

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