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<p>-------- Forwarded Message --------</p>
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<td>[DMANET] Post Doc position : New tools for Integrated
warehouse and customer delivery management</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Wed, 13 Jul 2022 11:43:18 +0200 (CEST)</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Luce Brotcorne <a class="moz-txt-link-rfc2396E" href="mailto:luce.brotcorne@inria.fr"><luce.brotcorne@inria.fr></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:DMANET@zpr.uni-koeln.de">DMANET@zpr.uni-koeln.de</a></td>
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<br>
<br>
Post Doc or Engineer position: New tools for Integrated warehouse
and customer delivery management <br>
The mission will take place in the INOCS team (INRIA Lille) <br>
<a class="moz-txt-link-freetext" href="https://team.inria.fr/inocs/">https://team.inria.fr/inocs/</a> <br>
It will be in collaboration with a company based in Paris. <br>
Duration : 1 year or 2 years Starting date : October 2022 <br>
Context <br>
Currently, urban transport operators, platforms (MyTroopers,
Trusk, Stuart,...) and specific services (bikes, on foot) optimize
each for themselves, without being able, nor wishing to make any
arbitration on behalf of the customer. For example, the right
solution for a tour (price, carbon impact, delays) may be the
combination of a vehicle and a group of delivery people on foot.
No carrier is able to offer this to the customer on an objective
basis. <br>
A new integrated approach seems imperative to gain efficiency, in
order to absorb the extra cost of green transport solutions and
bring them to the level of other solutions. If this is the case,
the consumer will opt for these approaches en masse, whereas
today, despite all the good intentions, the price difference is
prohibitive. <br>
<br>
Mission <br>
The goal of this project is to develop a model(s) and efficient
algorithms to solve the integrated problem of managing the
warehouse(s) and allocating transport requests to the couriers
(depending on the type of vehicle they have available). More
precisely, if several warehouses are available, it will be
necessary to define where the incoming products are routed. In
each warehouse, it will be necessary to manage the preparation of
the parcels and the allocation to the couriers according to the
availability and the vehicles at their disposal. <br>
The optimization parameters taken into account will be monetary
costs, ecological costs related to potential C02 emissions,
deadlines (management of priority deliveries) and the best
possible user experience (reduced delivery time slots selectable
by the end customer). The constraints to be taken into account
will be those related to the types of products transported (weight
/ volume / need to preserve the cold chain...), the contractual
delivery time clauses, as well as some specific constraints that
will be specified later. <br>
<br>
The uncertainty of the demand will be taken into account via
stochastic or robust models. <br>
<br>
Skills <br>
Mathematical programming, Optimization. <br>
Programming languages: C++, Java <br>
Software: Cplex, Gurobi, Knitro <br>
Languages: French, English. <br>
Applications (CV and Motivation letter) should be sent to [
<a class="moz-txt-link-freetext" href="mailto:Luce.Brotcorne@inria.fr">mailto:Luce.Brotcorne@inria.fr</a> | <a class="moz-txt-link-abbreviated" href="mailto:Luce.Brotcorne@inria.fr">Luce.Brotcorne@inria.fr</a> ] and
<a class="moz-txt-link-abbreviated" href="mailto:Frederic.semet@inria.fr">Frederic.semet@inria.fr</a> <br>
Autonomous candidate with initiative. <br>
<br>
Translated with <a class="moz-txt-link-freetext" href="http://www.deepl.com/Translator">http://www.deepl.com/Translator</a> (free version) <br>
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