Production planning in a textile sewing shop with balancing and equity constraints

Textile industries face changes due to societal transition (digital, ecological, industrial). The demand is changing quickly which impact all process in the industry. In order to accommodate these changes, intelligent and robust systems that take various constraints into account are necessary.
Among the common issues faced by textile industries of small and medium size, production planning sewing workshop seems to be the most critical. Indeed, this task is often a source of production delays due to the different constraints that companies face daily. Since this operation is manual at EMO, it no longer meets today's market demand.
The textile production planning is getting increasing interest from researchers, especially in the context of new technologies. There is little research addressing this very complex issue, which varies from one company to another. To meet the needs of the company EMO SAS, one have to develop a decision support system to help the shop planner and thereby meet customer requirements. This system will take into account the specific constraints that occurs in the textile industry such as the workers skills, workload balancing of workers and workload equity, machine eligibility, energy constraints, variable due dates of commands et constraints related to the manufacturing process.