Next Article in Journal
Acknowledgement to Reviewers of Logistics in 2017
Previous Article in Journal
The Supply Chain Has No Clothes: Technology Adoption of Blockchain for Supply Chain Transparency
Article

Evaluation of Maintenance and EOL Operation Performance of Sensor-Embedded Laptops

Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA
*
Author to whom correspondence should be addressed.
Logistics 2018, 2(1), 3; https://doi.org/10.3390/logistics2010003
Received: 20 November 2017 / Revised: 2 January 2018 / Accepted: 2 January 2018 / Published: 8 January 2018
(This article belongs to the Section Artificial Intelligence, Logistics Analytics, and Automation)
Sensors are commonly employed to monitor products during their life cycles and to remotely and continuously track their usage patterns. Installing sensors into products can help generate useful data related to the conditions of products and their components, and this information can subsequently be used to inform EOL decision-making. As such, embedded sensors can enhance the performance of EOL product processing operations. The information collected by the sensors can also be used to estimate and predict product failures, thereby helping to improve maintenance operations. This paper describes a study in which system maintenance and EOL processes were combined and closed-loop supply chain systems were constructed to analyze the financial contribution that sensors can make to these procedures by using discrete event simulation to model and compare regular systems and sensor-embedded systems. The factors that had an impact on the performance measures, such as disassembly cost, maintenance cost, inspection cost, sales revenues, and profitability, were determined and a design of experiments study was carried out. The experiment results were compared, and pairwise t-tests were executed. The results reveal that sensor-embedded systems are significantly superior to regular systems in terms of the identified performance measures. View Full-Text
Keywords: closed-loop supply chain; maintenance; sensor embedded product; remanufacturing; disassembly closed-loop supply chain; maintenance; sensor embedded product; remanufacturing; disassembly
Show Figures

Figure 1

MDPI and ACS Style

Dulman, M.T.; Gupta, S.M. Evaluation of Maintenance and EOL Operation Performance of Sensor-Embedded Laptops. Logistics 2018, 2, 3. https://doi.org/10.3390/logistics2010003

AMA Style

Dulman MT, Gupta SM. Evaluation of Maintenance and EOL Operation Performance of Sensor-Embedded Laptops. Logistics. 2018; 2(1):3. https://doi.org/10.3390/logistics2010003

Chicago/Turabian Style

Dulman, Mehmet T., and Surendra M. Gupta. 2018. "Evaluation of Maintenance and EOL Operation Performance of Sensor-Embedded Laptops" Logistics 2, no. 1: 3. https://doi.org/10.3390/logistics2010003

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop