Erreur humaine et intégration du cadenassage/décadenassage à la planification de la production et de la maintenance avec demande stochastique dans un système manufacturier flexible

Abstract

Lockout/tagout (LOTO) has become a legal obligation in Quebec under article 188.2 of Quebec legislation on occupational health and safety (RSST). Before undertaking any work in the danger zone of a machine LOTO must be applied in accordance with this subdivision. In September of 2015, the CNESST endorsed a draft proposing stricter OHS guidelines. The RSST has included more specific regulations with regard to LOTO and hazardous energy control methods. These new regulations spell out the duties of each actor and encourage workers and employers to stay mindful of health and safety in the workplace. LOTO is practised in manufacturing facilities to ensure safety during machinery maintenance procedures. In flexible manufacturing systems, human error (HE) is a major source of accidents and process deviations. Special measures are needed to minimize occupational risk and increase operational efficiency. In this article, we consider a production control problem involving a failure-prone machine meeting two types of demand and we discuss the associated decision-making process. The aim is to develop an optimal, robust and flexible control strategy that facilitates the integration of LOTO into corrective maintenance (CM) and ultimately into production. By planning CM, machine availability is increased, and inventory can be built up. The influence of HE on flexible manufacturing systems (FMS) is viewed in terms of production and maintenance planning. The frequency of machine repair depends largely on HE. The intrinsic costs of shortage, inventory and CM are optimised over an unbounded planning horizon. Analytical formalism is combined with discrete events simulation, as well as design of experiments and a genetic algorithm to identify the optimal planning of production and CM with mandatory LOTO. A numerical example and sensitivity analysis are proposed to express, in quantitative terms, the usefulness and efficiency of the proposed approach.

Date	22 Feb 2018
Original language	French
Awarding Institution	École de technologie supérieure
Supervisor	Sylvie Nadeau (Supervisor) & Behnam Emami-Mehrgani (Co-supervisor)