About the Project
Ph.D. position in Supply Chain Management:“Impact of emission policy variations on sustainable supply chain decision-making under uncertainty”
Lille Economics and Management (LEM, CNRS UMR 9221) and IÉSEG School of Management invite applications for a fully funded Ph.D. position in Supply Chain Management: "Impact of emission policy variations on sustainable supply chain decision-making under uncertainty".
ABOUT IÉSEG SCHOOL OF MANAGEMENT
· IÉSEG is AACSB, EQUIS and AMBA accredited and is a member of the “Conférence des Grandes Écoles.”
· The IÉSEG Research Center is accredited by the French National Center for Scientific Research (CNRS).
· IÉSEG’s faculty is very diverse with more than 40 different nationalities represented.
ABOUT LILLE ECONOMICS AND MANAGEMENT (LEM)
· LEM is a research unit associating the CNRS (National Center for Scientific Research), the University of Lille and the Catholic University of Lille
· LEM comprises about 150 researchers and 100 doctoral students in economics, management and statistics.
· Research at LEM is multi-disciplinary in economics and management and is centered on societal issues.
· LEM is a young, internationally oriented and dynamic laboratory with a strong scientific ambition.
· Applicants should have an MSc. (or be close to completion) in Industrial Engineering, Operations Management, Operations Research, or Supply Chain Management, possess strong mathematical reasoning, and have a commitment to research excellence.
· Have extensive knowledge on Game theory and Operations Research.
· Be curious and rigorous.
· Be fluent in English.
The PhD project will be supervised by Prof. Linda Zhang and is expected to be started in September 2021.
Gross salary will be competitive with other European research and academic institutions.
The researcher will be based in Paris (on the site of IÉSEG School of Management).
PhD project: Impact of emission policy variations on sustainable supply chain decision-making under uncertainty
In curbing GHG emissions from manufacturing and supply chain activities, many countries have been making and implementing different policies, at either the local level or the country level. The well-cited policies are carbon tax and cap-and-trade. Being in line with practice, carbon tax rates, emission caps and emission trading prices change frequently. In reality, the policy changes and variations might put difficulties in the decision-making of supply chain partners, including governments, manufacturers, and retailers. Uncertainties in demand and in policy changes may compound the decision-making complexity and difficulty. This project is, thus, aimed at investigating how the variations of emission policies, carbon tax and cap-and-trade in particular, affect the decision-making of supply chain partners under uncertainty. In accordance with practical situations, various scenarios will be examined, such as 1) one manufacturer and two or more competing retailers, 2) two or more competing manufacturers and one retailer, 3) two or more competing manufacturers and two or more competing retailers, 4) one government, one manufacturer and one retailer, and so on. In each scenario, different factors and decisions will be considered based on the specific problem contexts.
To offer more managerial sights, which can better help supply chain facilities with their practical decision-making, analytical models with closed form solutions are expected to be developed based on Game theory. In doing so, propositions, lemmas, corollaries, and theorems are to be developed and further proved.
The job taker will work in a team where a PhD candidate started a similar project in 2020.
Journals to be targeted: European Journal of Operational Research, International Journal of Production Economics, IEEE Transactions on Engineering Management, MSOM, POM, etc.
Interested candidates must send their application through this platform. To submit your application, please click on "apply" and follow the submission process.
For any further question, please contact Prof. Zhang :
or +33 1 55 91 10 10
We will begin considering candidates immediately and will continue until the position is filled. We encourage you to submit your application as soon as possible.
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