An RFID application in large job shop remanufacturing operations

Gupta

2017

Resources

Sensor embedded products utilize sensors implanted into products during their production process. Sensors are useful in predicting the best warranty policy and warranty period to offer a customer for remanufactured components and products. The conditions and remaining lives of components and products can be estimated prior to offering a warranty based on the data provided by the sensors. This helps reduce the number of claims during warranty periods, determines the right preventive maintenance (PM) policy, and eliminates unnecessary costs inflicted on the remanufacturer. The renewing, one-dimensional Free Replacement Warranty (FRW), Pro-Rata Warranty (PRW), and combination FRW/PRW policies' costs for remanufactured products and components were evaluated with/without offering PM for different periods in this paper. To that end, the effect of offering renewable, one-dimensional, Free Replacement Warranty (FRW), or Pro-Rata Warranty (PRW), or combination FRW/PRW warranty policies for each disassembled component and sensor embedded remanufactured product was examined, and the impact of sensor embedded products on warranty costs was assessed. A case study and varying simulation scenarios is examined and presented to illustrate the model's applicability.

Section: Sensor Embedded Productsmentioning

confidence: 99%

One-Dimensional Renewable Warranty Management within Sustainable Supply Chain

Gupta

2017

Resources

“…The practical and economic impact of using RFID in alleviating the quality uncertainty associated with the remanufacturing processes has been investigated by Kulkarni et al [22]. Ferrer et al [8] stated an application of RFIDs where active RFID can be used for easy identification and localization of components within a remanufacturing facility and passive RFID can be permanently tagged onto components of remanufacturable products at the beginning of their service life. The retrieved information from embedded smart sensors product has been studied in product EOL recovery processes decision making.…”

Section: Smart Sensor Embedded Productsmentioning

confidence: 99%

One-Dimensional Warranty Policies Analysis for Remanufactured Products in Reverse Supply Chain

Gupta²,

Nakashima

2017

iscm

: This paper presents a non-renewable basic one-dimensional combination warranty policy analysis for an Advanced Remanufacturing-To-Order system for Sensor-embedded products (SEPs). The goal of the proposed approach is to determine how to predict a non-renewing one-dimensional Free Replacement and ProRata combination warranty period for the disassembled components and remanufactured products using the sensor information about the age of every end-of-life (EOL) retrieve products on hand to meet remanufactured product and component demands while minimizing the cost associated with warranty and maximizing manufacturer s profit. Different simulation scenarios are explained and a case example is presented for illustration of the model applicability.

“…The practical and economic impact of using RFID in alleviating the quality uncertainty associated with the remanufacturing processes has been investigated by Kulkarni et al [26]. Ferrer et al [6] described an application of RFIDs where active RFIDs can be used for easy identification and localization of components within a remanufacturing facility, while passive RFIDs can be permanently tagged onto components of remanufacturable products at the beginning of their service life.…”

Section: Sensor Embedded Productsmentioning

confidence: 99%

Performance Analysis of Advanced Remanufacture-To-Order,Disassembly-To-Order and Refurbishment-To-Order System

Gupta

Nakashima

2014

iscm

In product recovery the disassembly process has an important role since it allows for separation and retrieval of desired parts and materials. End-of-life (EOL) products with missing and/or nonfunctional components increase the uncertainty associated with disassembly yield. Sensor-embedded products (SEPs) eliminate a majority of uncertainties involved in EOL management by providing life-cycle information of products. This information includes the content of each product and component conditions, and enables the estimation of remaining useful life of the components. Once the data on the products are captured, it is possible to make optimal EOL decisions without any preliminary disassembly or inspection operations. This paper presents an Advanced Remanufacture-To-Order, Disassembly-To-Order and Refurbishment-To-Order (AR-TODTORTO) model with disassembly precedence relationships among components of an air conditioner (AC). It also inspects and analyzes the impact of using smart sensors in End-of-Life products (EOLPs) on system performance. Various experimental design studies are conducted based on orthogonal arrays (OAs). The customers' demands may be satisfied either by purchasing new components, reassembling components from the returned used products, refurbishing products, or remanufacturing used products based on customers' needs. Discrete event simulation models are used to calculate various performance measures under different experimental conditions.