Title :
Simulation as support for production planning in small and medium enterprise: a case study
Author :
Mosca, Roberto ; Cassettari, Lucia ; Revetria, Roberto ; Magro, Gianluca
Author_Institution :
Dipt. di Ingegneria della Produzione, termoenergetica e Modelli Matematici, Genoa Univ., Italy
Abstract :
The proposed application is related to an Italian small factory that produces, assembles, and sells mechanical components for awnings. In such factories BPR (business process engineering) usually takes place without the support of modeling & simulation although such methodologies have proved to be very effective and helpful. Main reasons for that have to be investigated in the high costs usually associated with a simulation study, especially for data collection, model building and model validation. In order to avoid this problem a general-purpose simulation framework was designed enabling self-build according to production process information stored in a relational database. Moreover, the simulation model was used in conjunction with a statistical analysis tool in order to build the relationship among selected parameters and the proposed objective function by mean of response surface methodology and 2nd order regressions meta-models. Authors applied the proposed schema to several industrial applications obtaining interesting results.
Keywords :
business process re-engineering; digital simulation; production planning; regression analysis; response surface methodology; small-to-medium enterprises; 2nd order regressions meta-models; business process engineering; objective function; production planning; production process information; relational database; response surface methodology; simulation model; small-to-medium enterprise; statistical analysis tool; Analytical models; Assembly; Buildings; Business process re-engineering; Costs; Production facilities; Production planning; Relational databases; Response surface methodology; Statistical analysis;
Conference_Titel :
Simulation Conference, 2005 Proceedings of the Winter
Print_ISBN :
0-7803-9519-0
DOI :
10.1109/WSC.2005.1574537