[Job-offers-cs] Post Doc position : New tools for Integrated warehouse and customer delivery management

[Pekka Orponen]

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Subject: 	[DMANET] Post Doc position : New tools for Integrated 
warehouse and customer delivery management
Date: 	Wed, 13 Jul 2022 11:43:18 +0200 (CEST)
From: 	Luce Brotcorne <luce.brotcorne at inria.fr>
To: 	DMANET at zpr.uni-koeln.de



Post Doc or Engineer position: New tools for Integrated warehouse and 
customer delivery management
The mission will take place in the INOCS team (INRIA Lille)
https://team.inria.fr/inocs/
It will be in collaboration with a company based in Paris.
Duration : 1 year or 2 years Starting date : October 2022
Context
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.
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.

Mission
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.
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.

The uncertainty of the demand will be taken into account via stochastic 
or robust models.

Skills
Mathematical programming, Optimization.
Programming languages: C++, Java
Software: Cplex, Gurobi, Knitro
Languages: French, English.
Applications (CV and Motivation letter) should be sent to [ 
mailto:Luce.Brotcorne at inria.fr | Luce.Brotcorne at inria.fr ] and 
Frederic.semet at inria.fr
Autonomous candidate with initiative.

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