2021
DOI: 10.1007/s13243-020-00099-3
|View full text |Cite
|
Sign up to set email alerts
|

An MCMC based Bayesian inference approach to parameter estimation of distributed lag models for forecasting used product returns for remanufacturing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
5
0

Year Published

2021
2021
2025
2025

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(5 citation statements)
references
References 24 publications
0
5
0
Order By: Relevance
“…More recently, Zhang et al [15] developed two models in which an OEM produces new products, but outsources remanufacturing operations to authorized remanufacturers, and suggested that, if the collection cost coefficient is not pronounced, an aggressive response by the OEM can effectively minimize the cannibalization problems, but will reduce the profitability for the OEM. However, Geda and Kwong [16] empirically forecasted the quantity and timing of used product returns, representing one of the major challenges faced by remanufacturers based on past sales data. As mentioned earlier, in recent decades, remanufacturing has gained much attention and been well studied from theoretical (see, e.g., [15]) and empirical perspectives (see, e.g., [17]).…”
Section: Literature Reviewmentioning
confidence: 99%
See 3 more Smart Citations
“…More recently, Zhang et al [15] developed two models in which an OEM produces new products, but outsources remanufacturing operations to authorized remanufacturers, and suggested that, if the collection cost coefficient is not pronounced, an aggressive response by the OEM can effectively minimize the cannibalization problems, but will reduce the profitability for the OEM. However, Geda and Kwong [16] empirically forecasted the quantity and timing of used product returns, representing one of the major challenges faced by remanufacturers based on past sales data. As mentioned earlier, in recent decades, remanufacturing has gained much attention and been well studied from theoretical (see, e.g., [15]) and empirical perspectives (see, e.g., [17]).…”
Section: Literature Reviewmentioning
confidence: 99%
“…[23], Zhang et al [15], Geda and Kwong [16] be noted that, if the remanufacturer undertakes the remanufacturing without OEM licensing, it may face serious legal action from the latter. For example, Lexmark sent a letter to independent remanufacturers and stated that they would face legal action if they remanufactured its cartridges without a license.…”
Section: Problem Descriptionmentioning
confidence: 99%
See 2 more Smart Citations
“…Fey and Jain (1982) suggested the estimation of a sequence of AR models, beginning with one lag and continuing with a higher orders of AR process until the likelihood function for a given sample attains a maximum, however the resulting model was over-specified in the order of AR process. Auto Regressive Distributed Lag (ARDL) models were used in fields other than economics; Nothdurft and Engel, (2020) have used it to evaluate the effects of species mixing on productivity and climate-related resistance via tree-ring width measurements from sample cores; Hierarchical Distributed-Lag Models have been used by Baek et al ( 2020) to exploring varying geographic scale and magnitude in associations between the built environment and health; Geda and Kwong (2021) have used Bayesian inference approach to parameter estimation of distributed lag models for forecasting used product returns for remanufacturing. Heaton and Peng (2012) Belloumi (2013) applied The ARDL model to study the relationship between trade, FDI and economic growth in Tunisia.…”
Section: Introductionmentioning
confidence: 99%