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RFID for Returnable Container Manage...

Giubilato, Benedetto.

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RFID for Returnable Container Management in the Automotive Industry: A Discrete-Event Simulation Approach.

Record Type:	Electronic resources : Monograph/item
Title/Author:	RFID for Returnable Container Management in the Automotive Industry: A Discrete-Event Simulation Approach./
Author:	Giubilato, Benedetto.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	173 p.
Notes:	Source: Masters Abstracts International, Volume: 57-02.
Contained By:	Masters Abstracts International57-02(E).
Subject:	Automotive engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10635153
ISBN:	9780355368345

RFID for Returnable Container Management in the Automotive Industry: A Discrete-Event Simulation Approach.
Giubilato, Benedetto.

RFID for Returnable Container Management in the Automotive Industry: A Discrete-Event Simulation Approach. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 173 p.

Source: Masters Abstracts International, Volume: 57-02.

Thesis (M.A.Sc.)--University of Windsor (Canada), 2017.

This item is not available from ProQuest Dissertations & Theses.

Returnable containers are a critical factor to ensure quality of manufacturing operations in the automotive industry. However, containers management is still affected by chronic issues, such as containers shortage, losses or inefficient handling. Research and industry experts agree the "Achilles's heel" of current practice is the lack of accurate and timely data about containers flow throughout the complex automotive supply chain. Moreover, containers handling operations still rely on manual operations.

ISBN: 9780355368345Subjects--Topical Terms:

2181195
Automotive engineering.

RFID for Returnable Container Management in the Automotive Industry: A Discrete-Event Simulation Approach.
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100 1 $a Giubilato, Benedetto. $3 3428986
245 1 0 $a RFID for Returnable Container Management in the Automotive Industry: A Discrete-Event Simulation Approach.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 173 p.
500 $a Source: Masters Abstracts International, Volume: 57-02.
500 $a Adviser: Guoqing Zhang.
502 $a Thesis (M.A.Sc.)--University of Windsor (Canada), 2017.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a Returnable containers are a critical factor to ensure quality of manufacturing operations in the automotive industry. However, containers management is still affected by chronic issues, such as containers shortage, losses or inefficient handling. Research and industry experts agree the "Achilles's heel" of current practice is the lack of accurate and timely data about containers flow throughout the complex automotive supply chain. Moreover, containers handling operations still rely on manual operations.
520 $a Radio Frequency Identification (RFID) is a technology that allows for automatic extraction of items flow data at key points along the supply chain, without the need of manual operations, and represents a very interesting solution for returnable containers management.
520 $a RFID has already been employed in many different sectors, since giants as Wal-Mart or the United States (U.S.) Department of Defense adopted it for their supply-chain.
520 $a Several approaches have been adopted in literature to explore potential applications of this technology, but few studies focus on automotive returnable containers management.
520 $a In this work, a Discrete-Event Simulation (DES) approach is proposed to evaluate the impact of RFID on automotive returnable containers supply chain. The model has been developed in collaboration with Fiat Chrysler Automobiles (FCA).
520 $a Applying factorial design and ANOVA relevant benefits of using RFID have been identified. The same model has been used to define main influencing factors in containers supply chain performance.
590 $a School code: 0115.
650 4 $a Automotive engineering. $3 2181195
650 4 $a Industrial engineering. $3 526216
690 $a 0540
690 $a 0546
710 2 $a University of Windsor (Canada). $b Industrial Engineering. $3 3184189
773 0 $t Masters Abstracts International $g 57-02(E).
790 $a 0115
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792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10635153