A reference model in BPMN for conceptual modelling of master planning schedule

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Tulio Cremonini Entringer
Ailton da Silva Ferreira
صندلی اداری

Abstract

Companies are progressively investing in practices aimed at improving the quality of management, with the main purpose of enabling them to operate competitively in the present market. For this, it is necessary to document the activities and information of the existing business processes in the organization, aiming at reducing time and cost in the elaboration of the particular model. In this context, the objective of this work is to develop a reference model of the Master Production Schedule (MPS) processes, an important module of production planning and control (PPC). The research methodology used in this work was divided into the following stages: study of MPS and business process modeling, definition of reference model processes, choice of methodology and process modeling tool, development of reference model and prototype of the software and, finally, analysis of results. The modeling notation used was the BPMN, since it is considered a standard language in the field of process modeling. The prototype was developed through the Delphi interface in order to apply the model to support the implementation of business management programs. As results, from a formal documentation, the model proved to be a useful mechanism in the understanding of the processes raised and appropriate in the support to the implantation of production management tools.

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References

AS’AD, R.; DEMIRLI, K. (2010) Production scheduling in steel rolling mills with demand substitution: Rolling horizon implementation and approximations. International Journal of Production Economics, v. 126, n. 2, p. 361–369.

BOLLOJU, N.; LEUNG, F. S. K. (2006) Assisting Novice Analysts in Developing Quality Conceptual Models with UML. Commun. ACM, v. 49, n. 7, p. 108–112.

BREMER, C. F.; LENZA, R. DE P. (2000) A reference model for production management in assembly to order: ato production systems and its multiple applications. Gestão & Produção, v. 7, n. 3, p. 269–282.

CLIMENT, C.; MULA, J.; HERNÁNDEZ, J. E. (2009) Improving the business processes of a bank. Business Process Management Journal, v. 15, n. 2, p. 201–224.

CORRÊA, H. L.; CORRÊA, C. A. (2012) Administração de produção e operações: manufatura e serviços - Uma abordagem estratégica (2nd ed.) São Paulo: Atlas.

CORRÊA, H. L.; GIANESI, I. G. N.; CAON, M. (2009) Planejamento, programação e controle da produção: MRP II/ERP: conceitos, uso e implantação: base para SAP, Oracle Applications e outros Softwares integrados de gestão (5th ed.) Sao Paulo: Atlas.

CORREA, J.; SPINOLA, M. M. (2015) Adoção, seleção e implantação de um ERP livre. Production, v. 25, n. 4, p. 956–970.

ENGLBERGER, J.; HERRMANN, F.; MANITZ, M. (2016) Two-stage stochastic master production scheduling under demand uncertainty in a rolling planning environment. International Journal of Production Research, v. 54, n. 20, p. 6192–6215.

FERNANDES, F. C. F.; GODINHO FILHO, M. (2010) Planejamento e controle da produção: dos fundamentos ao essencial. São Paulo: Atlas.

GAHM, C.; DÜNNWALD, B.; SAHAMIE, R. (2014) A multi-criteria master production scheduling approach for special purpose machinery. International Journal of Production Economics, n. 149, p. 89–101.

GAITHER, N.; FRAZIER, G. (2005) Administração da produção e operações (8a ed.) São Paulo: Pioneira Thomson Learning.

HERNANDEZ, J. E.; MULA, J.; FERRIOLS, F. J. (2008) A reference model for conceptual modelling of production planning processes. Production Planning and Control, v. 19, n. 8, p. 725–734.

HERRERA, C.; BELMOKHTAR-BERRAF, S.; THOMAS, A.; PARADA, V. (2016) A reactive decision-making approach to reduce instability in a master production schedule. International Journal of Production Research, v. 54, n. 8, p. 2394–2404.

JONSSON, P.; IVERT, L. K. (2015) Improving performance with sophisticated master production scheduling. International Journal of Production Economics, v. 168, n. Supplement C, p. 118–130.

KELLER, G.; TEUFEL, T. (1998) SAP R/3 process-oriented implementation: iterative process prototyping. Harlow, England ; Reading, Ma: Addison Wesley Longman.

LALAMI, I.; FREIN, Y.; GAYON, J. P. (2015) A model for master production scheduling in automotive powertrain plants: A case study. In 2015 International Conference on Industrial Engineering and Systems Management (IESM) (p. 1081–1090)

MARTINS, P. G.; LAUGENI, F. P. (2009) Administração da produção. São Paulo: Saraiva.

MOREIRA, D. A. (2008) Administração da produção e operações. São Paulo: Cengage Learning.

MUKHOPADHYAY, S. K. (2013) Production planning and control: text and cases (2. ed) Delhi: PHI Learning.

OLHAGER, J. (2013) Evolution of operations planning and control: from production to supply chains. International Journal of Production Research, v. 51, n. 23–24, p. 6836–6843.

OLHAGER, J.; RUDBERG, M.; WIKNER, J. (2001) Long-term capacity management: Linking the perspectives from manufacturing strategy and sales and operations planning. International Journal of Production Economics, v. 69, n. 2, p. 215–225.

SAHIN, F.; POWELL ROBINSON, E.; GAO, L.-L. (2008) Master production scheduling policy and rolling schedules in a two-stage make-to-order supply chain. International Journal of Production Economics, v. 115, n. 2, p. 528–541.

SCHEER, A.-W. (2000) ARIS - Business Process Frameworks (3rd ed.) Berlin, Heidelberg: Springer Berlin Heidelberg.

SIAU, K. (2004) Informational and Computational Equivalence in Comparing Information Modeling Methods. Journal of Database Management (JDM), v. 15, n. 1, p. 73–86.

SIAU, K.; ROSSI, M. (2011) Evaluation techniques for systems analysis and design modelling methods – a review and comparative analysis. Information Systems Journal, v. 21, n. 3, p. 249–268.

TEO, C.-C.; BHATNAGAR, R.; GRAVES, S. C. (2012) An Application of Master Schedule Smoothing and Planned Lead Time Control. Production and Operations Management, v. 21, n. 2, p. 211–223.

THURER, M.; FILHO, M. G. (2012) Redução do lead time e entregas no prazo em pequenas e médias empresas que fabricam sob encomenda: a abordagem Worload Control (WLC) para o Planejamento e Controle da Produção (PCP), Gestão & Produção, n. 19.

TUBINO, D. F. (2007) Planejamento e controle da produção teoria e prática. São Paulo: Atlas.

VERGIDIS, K.; TURNER, C. J.; TIWARI, A. (2008) Business process perspectives: Theoretical developments vs. real-world practice. International Journal of Production Economics, v. 114, n. 1, p. 91–104.

VERNADAT, F. (1996) Enterprise modeling and integration: principles and applications. London ; New York: Chapman & Hall.

VERNADAT, F. B. (2003) Enterprise Modelling and Integration. In KOSANKE, K.; JOCHEM, R.; NELL, J. G.; BAS, A. O. (Eds.; p. Enterprise Inter- and Intra-Organizational Integration (pp. 25–33) Boston, MA: Springer US.

VIEIRA, G. E.; FAVARETTO, F. (2006) A new and practical heuristic for Master Production Scheduling creation. International Journal of Production Research, v. 44, n. 18–19, p. 3607–3625.

VOJISLAV, B.; LEON, J. (2000) Evaluating the Quality of Reference Models. In Conceptual Modeling — ER 2000 (p. 484–498) Springer, Berlin, Heidelberg.

VOLLMANN, T. E. (ED.) (2005) Manufacturing planning and control for supply chain management (5th ed) Boston: McGraw-Hill/Irwin.

WATTANAPORNPROM, W.; LI, T. (2013) The merging of MPS and order acceptance in a semi-order-driven industry: A case study of the parasol industry. In 2013 IEEE International Conference on Industrial Engineering and Engineering Management (p. 996–1001)

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