Forecasting return of used products for remanufacturing using Graphical Evaluation and Review Technique (GERT)

Zhou, Li; Xie, Jiaping; Gu, Xiaoyu; Lin, Yong; Ieromonachou, Petros; Zhang, Xiaole

doi:10.1016/j.ijpe.2016.04.016

Cited by 39 publications

(19 citation statements)

References 38 publications

(43 reference statements)

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“…Zhou, Xie, Lin, Ieromonacou, and Zhang () attempted to approach the problem of remanufacturing forecasting holistically and mentioned that they might have been the first to do so. They employed the “Graphical Evaluation and Review Technique” (GERT) to develop a method to estimate the probability of return, time and quantity for cores, salvageable parts, components, and materials.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Because of these very short delivery times, the company operates in a (re)make‐to‐stock setting. That product can be subsequently sent to a number of other units (without visibility from the company), before eventually returning as a used core, essentially operating as a mix of first and second‐hand‐market (Zhou et al, ).…”

Section: Case Organization and Descriptive Empirical Analysismentioning

confidence: 99%

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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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Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Case Organization and Descriptive Empirical Analysismentioning

confidence: 99%

Forecasting for remanufacturing: The effects of serialization

Goltsos

Syntetos

Laan

2019

J of Ops Management

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“…In the work of Han, Wu, Yang and Shang (2016), the impact of the price policy on consumer behavior was analyzed, but decisions were also taken on the types of production to be re-established and the quantities of each type to achieve the best results. In this area, Zhou, Xie, Gu, Lin and Ieromonachou (2016) and Zerhouni, Gayon and Frein (2013) showed models of forecasting of product returns, trying to facilitate decision-making with respect to the quantities to be manufactured, production and inventory levels, as well as the type of production most is convenient to realize. Other aspects such as the return policy and the quality of the product to be offered are also frequently treated in mathematical models applied to RL.…”

Section: Main Decisions Of Rl According To Mathematical Modelsmentioning

confidence: 99%

Identification of reverse logistics decision types from mathematical models

Pellicer

Valero

2018

JIEM

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Purpose: The increase in social awareness, politics and environmental regulation, the scarcity of raw materials and the desired “green” image, are some of the reasons that lead companies to decide for implement processes of Reverse Logistics (RL). At the time when incorporate new RL processes as key business processes, new and important decisions need to be made. Identification and knowledge of these decisions, including the information available and the implications for the company or supply chain, will be fundamental for decision-makers to achieve the best results. In the present work, the main types of RL decisions are identified.Design/methodology/approach: This paper is based on the analysis of mathematical models designed as tools to aid decision making in the field of RL. Once the types of interest work to be analyzed are defined, those studies that really deal about the object of study are searched and analyzed. The decision variables that are taken at work are identified and grouped according to the type of decision and, finally, are showed the main types of decisions used in mathematical models developed in the field of RL. Findings: The principal conclusion of the research is that the most commonly addressed decisions with mathematical models in the field of RL are those related to the network’s configuration, followed by tactical/operative decisions such as the selections of product’s treatments to realize and the policy of returns or prices, among other decisions.Originality/value: The identification of the main decisions types of the reverse logistics will allow the managers of these processes to know and understand them better, while offer an integrated vision of them, favoring the achievement of better results.

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“…It is imperative to understand and forecast the product returns to develop facilities for recovery [10]. Repair is the option in which the parts or sub-assemblies of the components that have been damaged are brought back to working condition.…”

Section: Fig1 Levels Of Product Recoverymentioning

confidence: 99%

A study on Designing for Sustainable Product Development in view of End-User Role through Remanufacturing

Naik

Terkar

2017

Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

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Abstract:Sustainability requires diligent use of resources to avoid impairing the environment and addressing factors of scarcity. Recently the life of the products has decreased drastically which has made it necessary to plan for End-of-Life (EOL) options for the product. The design factors for the same need to be incorporated at an early stage of Prototyping for the New Product. Remanufacturing is now being accepted as a strategy for competitive advantage supported by government policies in western countries. Besides the Repairing, Reconditioning and Recycling; Remanufacturing has become the most advocated EOL options carried out by Original Equipment Manufacturer's (OEM's) OR 3 rd Party Remanufacturers. Some OEM's attempt to integrate the same with Product Service System while others do not take it up for fear of cannibalization. For the success of Remanufacturing, optimization of newly added distinct process from the traditional manufacturing system is essential. It may be noted that the better the quality of core, the lesser will be the demand on Operations. The product should be so designed that the customer should be able to select the right EOL option at different life cycle phases of the product. Testing and Diagnosis techniques are central activities to the Remanufacturing Process. The dual role of the customer as an end user as well as a source of used product for Remanufacturing becomes important for setting up the measures for the Remanufacturing affiliated activities within the organization.

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Forecasting return of used products for remanufacturing using Graphical Evaluation and Review Technique (GERT)

Cited by 39 publications

References 38 publications

Forecasting for remanufacturing: The effects of serialization

Forecasting for remanufacturing: The effects of serialization

Identification of reverse logistics decision types from mathematical models

A study on Designing for Sustainable Product Development in view of End-User Role through Remanufacturing

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