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Modelling activity times by hybrid synthetic method

2016; Taylor & Francis; Volume: 27; Issue: 11 Linguagem: Inglês

10.1080/09537287.2016.1159351

1366-5871

Michele Lanzetta, Andrea Rossi, Alessio Puppato,

Scheduling and Optimization Algorithms

Uncertain (manual) activity times impact a number of manufacturing system modules: plant and layout design, capacity analysis, operator assignment, process planning, scheduling and simulation. Direct observation cannot be used for non-existent production lines. A hybrid direct observation/synthetic method derived from Method Time Measurement available in industry is proposed. To determine accurate activity times required by heuristics and metaheuristics optimisation, manufacturing system modules are modelled by MILP and operator efficiency parameters are used for time standardisation. Among human factors considered are skill and ergonomics. Application to the sterilisation of reusable medical devices is extensively described. Experimental data taken from observation on the field and a worst-case date have shown the model direct applicability for professionals also to non-manufacturing cases.