Dr. Khakim Habibi
Assistant Professor
Department of Supply Chain Management & Information Systems
Rennes School of Business, France
Assistant Professor
Department of Supply Chain Management & Information Systems
Rennes School of Business, France
Dr. Habibi is an Assistant Professor in the Department of Operations & Analytics at Rennes School of Business, Rennes, France. His research and teaching interests cover Operations Research, Business Analytics, and Supply Chain Management.
He has worked on various optimization problems such as Network Design, Stochastic Production-Distribution Problem in Reverse Supply Chain and Robust Hub Location Problem. He has implemented various methods to solve the problems such as Two-Phase Iterative Heuristic, Multiphase Heuristic, Sample Average Approximation, Particle Swarm Optimization, Benders decomposition, etc.
An Industrial Engineer by training, he earned his Ph.D. degree from École des Mines de Saint-Étienne (France), master's degree from Institut Polytechnique de Grenoble (France), and bachelor degree from Institut Teknologi Sepuluh Nopember (Indonesia). All degrees are in Industrial Engineering.
Along with Indonesian and Javanese as his mother tongues, he speaks English and French.
August 2019 - Present : Assistant Professor at Rennes School of Business, Rennes, France
March 2018 - August 2019 : Postdoctoral Researcher at ONERA - The French Aerospace Lab, Toulouse, France
March 2017 - February 2018 : Postdoctoral Researcher at Université d'Artois, Béthune, France
Production-Routing Problem
Reverse Supply Chain
Network Design
Stochastic Programming
Hub Location Problem
Graduate courses
QM527E - Advanced Analytics for Logistics
Topics: Statisticial Inference, Machine Learning, Optimization Problems (Facility Locations, Warehouse Operations, etc.), Various Exact and Approximate Methods.
QM524E - Optimization and Simulation
Topics: Simplex Algorithm (Algebraic and Tableau Forms), Twophase and Big-M Methods, Duality Theorem, Branch-and-Bound for Integer Programming, Linear Programming with DOCplex in Python, Monte Carlo Simulation
SC517E - Supply Chain Analytics and Digitalization
Topics: Programming in Python, Data Manipulation and Visualization, Statistical Inference, Machine Learning, and Optimization.
SC510E - Management of Transportation and Distribution
Topics: Linear Programming, Excel Solver, Supply Chain Network Design, and Decision Trees for Network Design.
SC507E - Sustainable Supply Chain
Topics: Strategic Framework in Supply Chain, Sustainability in Supply Chain, The impact of Sustainability on Production and Transportation
Executive Education sessions (without degree)
Topics: Analytics, Machine Learning, and Optimization
Undergraduate courses
SC310E - Principles of Supply Chain Management
Topics: Strategic Framework in Supply Chain, Inventory Management, Distribution Networks, Aggregate Planning, and Supply Chain Coordination.
M. Goswami, A. De, M. K. K. Habibi, Y. Daultani. Examining Freight Performance of Third-party Logistics Providers within Automotive Industry in India: An Environmental Sustainability Perspective. International Journal of Production Research, 58 (2020): 7565-7592 [link]
M. K. K. Habibi, O. Battaïa, V.-D. Cung, A. Dolgui., M. K. Tiwari. Sample Average Approximation for Multi-Vehicle Collection-Disassembly Problem under Uncertainty. International Journal of Production Research, 8 (2019): 2409-2428. [link]
M. K. K. Habibi, H. Allaoui, G. Goncalves. Collaborative Hub Location Problem under Cost Uncertainty. Computers & Industrial Engineering, 124 (2018): 393-410.[link]
M. K. K. Habibi, O. Battaïa, V.-D. Cung, A. Dolgui. An Efficient Two-Phase Iterative Heuristic for Collection-Disassembly Problem. Computers & Industrial Engineering, 110 (2017): 505-514. [link]
M. K. K. Habibi, O. Battaïa, V.-D. Cung, A. Dolgui. Collection-disassembly problem in reverse supply chain. International Journal of Production Economics, 183 (2017): 334-344. [link]
A complete list of publications (conferences and workshops) is available here.
M. K. K. Habibi, R. Hammami, O. Battaïa, A. Dolgui. Simultaneous Pickup-and-Delivery Production-Routing Problem in Closed-Loop Supply Chain with Remanufacturing and Disassembly Consideration .Currently under review after first revision in International Journal of Production Economics
Stochastic Dairy Transportation Problem under Supply Uncertainty (with M. N. Ardiansyah)
Column Generation for Solving City Logistics Model with Multiple Links of Urban Road Networks (with N. I. Saragih and M. N. Ardiansyah)
2017 : Dr. in Industrial Engineering at Ecole des Mines de Saint-Etienne (within Université de Lyon's doctoral school), France
2013 :
Master of Industrial Engineering at Institut Polytechnique de Grenoble, France
Master of Supply Chain Engineering at Institut Teknologi Sepuluh Nopember, Indonesia
2012 : Bachelor of Industrial Engineering at Institut Teknologi Sepuluh Nopember, Indonesia
Column Generation for Solving City Logistics Model with Multiple Links of Urban Road Networks
Supported by the Embassy of France in Indonesia
Production-Routing Problem in Closed-Loop Supply Chain
Funded by Rennes School of Business, France
The Effect of Leasing with Buying Option
Funded by Rennes School of Business, France
Distributed Decision for Multi-Robot Missions
Funded by ONERA - The French Aerospace Lab, France
Optimization of Collaborative and Sustainable Supply Chains
part of the project of ELSAT 2020 co-financed by the European Union with the European Regional Development Fund, the French state and the Council of of Hauts-de-France region.
Integrated Optimization of the Collection of End-of-Life Products and Their Disassembly in Reverse Supply Chain
Funded by the French Government of Auvergne-Rhône-Alpes region, France
Network Design for Short and Local Supply Chain
Internship project at G-SCOP Laboratory, France
Institute for Operations Research and the Management Sciences (INFORMS)
Production and Operations Management Society (POMS)
European Operations Management Association (EurOMA)
Email : muhammad[dot]habibi[at]rennes-sb[dot]com
Please find a Ph.D. position I and my colleagues propose under our joint supervision as follows: