Erika Marsillac

Dr. Erika Marsillac

Department of Information Technology and Decision Sciences, Old Dominion University, Norfolk, VA 23529, USA
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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2014 in Transportation Research Part E: Logistics and Transportation Review
Verified
Journal Article
Closed access
WTWayne K. Talley
Wayne K. Talley
MNManWo Ng
ManWo Ng
EMErika Marsillac
Erika Marsillac

5 February 2015 in International Journal of Production Research
Verified
Journal Article
Closed access
YLYing Liao
Ying Liao
EMErika Marsillac
Erika Marsillac

1 January 2014 in International Journal of Production Economics
Verified
Journal Article
Closed access
EMErika Marsillac
Erika Marsillac
JRJames Jungbae Roh
James Jungbae Roh

13 February 2024 in Sustainability
Verified
Journal Article
Open access
PDF file
Sandeep B JaganiSandeep B Jagani
Sandeep B Jagani
EMErika Marsillac
Erika Marsillac
Paul C HongPaul C Hong
Paul C Hong
The automotive industry is evolving due to the increasing adoption of Electric Vehicles (EVs). This transition has impacted automotive vehicles and led to profound changes in the supply chain ecosystem. Through a comprehensive review of the available literature and industry reports, this research investigates the automotive industry’s transition towards EVs and subsequent supply chain transformation, focusing on the changing roles of automotive suppliers. In this paper, we assess these transformations from economic, environmental, and strategic viewpoints. We examine the impact of these changes on supplier relationships, supplier OEM collaboration, and new entrants’ potential for disruption, as well as propose strategies for suppliers to effectively navigate this transformation, ensuring competitiveness in the evolving EV landscape. Finally, we discuss opportunities and challenges in EV supply chain research.

1 January 2019 in Computers & Industrial Engineering
Verified
Journal Article
Closed access
ADAbdul Salam Darwish
Abdul Salam Darwish
SSSabry Shaaban
Sabry Shaaban
EMErika Marsillac
Erika Marsillac
NMNazar Muneam Mahmood
Nazar Muneam Mahmood

17 October 2016 in International Journal of Production Research
Verified
Journal Article
Closed access
RDRafael Diaz
Rafael Diaz
EMErika Marsillac
Erika Marsillac
Accurately evaluating strategic commitments to remanufacturing requires a comprehensive understanding and consideration of the simultaneous effect of uncertainty on supply and demand. This paper presents a model that supports improved remanufacturing decision-making under stochastic demand and supply components and various cost factor considerations. The model is formulated as a newsvendor model extension that considers the simultaneous effects of probabilistic supply and demand. This characterisation assesses the effects of critical operational constraints on several strategic performance measures including cost, revenue and profit. The paper employs a Monte Carlo approach to assess the performance and extent of engagement in strategic remanufacturing supply chain operations, and illustrates results via a case study application. Results indicate that the technique can assist decision-makers in strategically determining the potential of future engagements in remanufacturing activities, and extends research findings by theoretically examining strategic decision-making for remanufacturing activity.