Nacira Chikhi

About

Nacira Chikhi is a researcher whose work sits at the intersection of production scheduling, robotics, and logistics, focusing on the critical coordination between manufacturing and transportation. Her primary research area is the complexity and optimization of flow shop scheduling problems, particularly those involving robotic cells and transportation constraints. Chikhi’s major contributions lie in analyzing and solving two-stage flow shop problems where a robot or conveyor handles both material transport and machine loading/unloading. Her most cited work, "A two-stage flow shop scheduling problem with transportation considerations" (2015, 13 citations), establishes foundational models for this integrated scheduling challenge. She has also produced notable complexity results, including proving the NP-hardness of certain robotic flow shop configurations (2014, 4 citations) and exploring dedicated-machine scenarios with a single robot (2014, 2 citations). Her 2016 paper on coordinated scheduling in a robotic cell further deepens understanding of how production and transportation decisions interact. While her citation counts reflect a focused, emerging impact, Chikhi’s work is essential for researchers and practitioners seeking to optimize automated manufacturing systems where robots are not just transporters but active participants in the production process.

Research Focus

Key Achievements

Top Papers

1. 1
   A two-stage flow shop scheduling problem with transportation considerations

   13 citations · 2015
2. 2
   On the complexity of robotic flow shop with transportation constraints

   4 citations · 2014
3. 3
   New complexity results on scheduling problem in a robotic cell

   4 citations · 2016
4. 4
   Two machine Flow shop with transportation time.

   4 citations · 2011
5. 5
   A case study of a two-stage flow shop with dedicated machines and a single robot

   2 citations · 2014

Key Collaborators

Contact & Links