A model for reverse logistics entry by third-party providers

Krumwiede, Dennis; Sheu, Chwen

doi:10.1016/s0305-0483(02)00049-x

Cited by 234 publications

(110 citation statements)

References 4 publications

Supporting

Mentioning

108

Contrasting

Unclassified

Order By: Relevance

“…After-sale service is critical to customer service, since it could turn customer complaints into customer satisfaction, or even prevent customer complaints. Nonetheless, the uncertainty in the number of defective products returned makes forecasting and inventory planning of service parts difficult, causing a backlog of returned defectives (shortage of service parts) or an increase in inventory costs (over stock of service parts) [1]. This problem leads to poor after-sale repair service and customer dissatisfaction.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Failure Rate Forecasting Model for Service Parts Inventory

2018

Self Cite

View full text Add to dashboard Cite

This study investigates one of the reverse logistics issues, after-sale repair service for in-warranty products. After-sale repair service is critical to customer service and customer satisfaction. Nonetheless, the uncertainty in the number of defective products returned makes forecasting and inventory planning of service parts difficult, which leads to a backlog of returned defectives or an increase in inventory costs. Based on Bathtub Curve (BTC) theory and Markov Decision Process (MDP), this study develops a dynamic product failure rate forecasting (PFRF) model to enable third-party repair service providers to effectively predict the demand for service parts and, thus, mitigate risk impacts of over-or under-stocking of service parts. A simulation experiment, based on the data collected from a 3C (computer, communication, and consumer electronics) firm, and a sensitivity analysis are conducted to validate the proposed model. The proposed model outperforms other approaches from previous studies. Considering the number of new products launched every year, the model could yield significant inventory cost savings. Managerial and research implications of our findings are presented, with suggestions for future research.

show abstract

Section: Introductionmentioning

confidence: 99%

A Dynamic Failure Rate Forecasting Model for Service Parts Inventory

2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…Figure 1 show the typical processes involved in RSC, in accordance with Krumwiede and Sheu (2002). Examples are as follows, starting from the left:…”

Section: Modelmentioning

confidence: 99%

Understanding reverse supply chains

Frei

Bines

Lothian

et al. 2016

IJSCOR

View full text Add to dashboard Cite

Reverse supply chains take a variety of forms, depending on the nature of the product, the business model, the stakeholders and other factors. This article will contribute to a better understanding of how different types of reverse supply chains function, how they can be modelled and their performance assessed. The research is based on a semi-structured approach using case studies, interviews and qualitative analysis. A generic RSC model is suggested in conjunction with an analysis of circumstances and factors of influence, with the intention to trigger further investigation. A better understanding of RSC may lead to more companies engaging in returning products and materials to the process of usefulness suggested by the circular economy concept, hence leading to a more sustainable way of running manufacturing businesses.

show abstract

“…Product Resale = The returned products are brought back to the market (Leite & Brito, 2005); 177/190 Systematic literature review… Donation = This process occurs when the returned products are donated to any interested entity (Acosta et al, 2008); Disposal = The products are destined for landfills or incineration when the possibility of adding value to the product is exhausted (Leite & Brito, 2005); Reuse = It occurs when the company seeks to intensify the use of the product before being discarded or used as raw material in the production process (Krumwiede & Sheu, 2002).…”

Section: );mentioning

confidence: 99%

Revisão sistemática da literatura sobre as formas de mensuração do desempenho da logística reversa

et al. 2017

View full text Add to dashboard Cite

Abstract:Reverse logistics can provide a sustainable competitive advantage for the company. However, to benefit from it, companies must monitor their reverse logistics based on a performance measurement system composed of financial and non-financial indicators. Thus, this study investigated, through a systematic literature review, the ways of measuring the of reverse logistics performance. The results of this study showed that the most used indicators were the financial and/or economic performance, together with the indicators related to the clients, followed by the indicators related to the improvement of internal, environmental, innovation and growth, social and, finally, supplier processes. It should be emphasized that there is no single justification on the best measures of performance evaluation of an activity. Therefore, each company must establish the measures appropriate to its characteristics, in order to meet the company goals.

show abstract

A model for reverse logistics entry by third-party providers

Cited by 234 publications

References 4 publications

A Dynamic Failure Rate Forecasting Model for Service Parts Inventory

A Dynamic Failure Rate Forecasting Model for Service Parts Inventory

Understanding reverse supply chains

Revisão sistemática da literatura sobre as formas de mensuração do desempenho da logística reversa

Contact Info

Product

Resources

About