Framework for standardization of simulation integrated production planning

Production planning is a complex problem that is typically decomposed into decisions carried out at different control levels. The various methods used for production planning often assume a static environment, therefore, the plans developed may not be feasible when shop floor events change dynamically. In such an operating environment, a system simulation model updated with real-time data can be used to validate a proposed plan. In this paper, we propose a framework to evaluate and validate the feasibility of high-level production plans using a simulation model at a lower level thereby providing a base for improving the upper level plan. The idea is demonstrated with an assembly plant where the aggregate plan is evaluated using discrete event simulation (DES) of shop floor operations with resources allocated according to constraints imposed by the aggregate plan. We also discuss standardized integration interfaces required between simulations and production planning tools.

[1]  Qais Y. Hatim,et al.  A Simulation-based Methodology of Assessing Environmental Sustainability and Productivity for Integrated Process and Production Plans☆ , 2015 .

[2]  Frank Riddick,et al.  A component-based approach for manufacturing simulation , 2011, SpringSim.

[3]  Jeffrey S. Smith,et al.  Simulation for manufacturing system design and operation: Literature review and analysis , 2014 .

[4]  Charles R. McLean,et al.  Integration of Manufacturing Simulations Using High Level Architecture (HLA) , 2000 .

[5]  Young B. Moon,et al.  Enhancing ERP system's functionality with discrete event simulation , 2005, Ind. Manag. Data Syst..

[6]  Deogratias Kibira Interactive reactive scheduling of an unbalanced production line by human learning and machine induction , 1995 .

[7]  L. R. White,et al.  A hierarchical production planning system simulator , 2012 .

[8]  Gabriel R. Bitran,et al.  Hierarchical production planning , 1989 .

[9]  Magdy Helal,et al.  A HYBRID SYSTEM DYNAMICS-DISCRETE EVENT SIMULATION APPROACH TO SIMULATING THE MANUFACTURING ENTERPRISE , 2008 .

[10]  C. McLean,et al.  A proposed hierarchical control model for automated manufacturing systems , 1986 .

[11]  J. Venkateswaran,et al.  Hybrid system dynamic—discrete event simulation-based architecture for hierarchical production planning , 2005 .

[12]  Erinc Albey,et al.  A hierarchical approach to FMS planning and control with simulation-based capacity anticipation , 2011 .

[13]  Edward J. Williams,et al.  Iterative use of simulation and scheduling methodologies to improve productivity , 2008, 2008 Winter Simulation Conference.

[14]  Jeffrey S. Smith,et al.  Simulation system for real-time planning, scheduling, and control , 1996, Winter Simulation Conference.

[15]  Massimiliano M. Schiraldi,et al.  Integrating MRP in production systems simulation tools , 2011 .

[16]  Anne-Françoise Cutting-Decelle,et al.  ISO 15531 MANDATE: A Product-process-resource based Approach for Managing Modularity in Production Management , 2007, Concurr. Eng. Res. Appl..

[17]  Jayendran Venkateswaran,et al.  Iterative Simulation and Optimization approach for job shop scheduling , 2014, Proceedings of the Winter Simulation Conference 2014.

[18]  Yung-Tsun Tina Lee,et al.  A Journey in Standard Development: The Core Manufacturing Simulation Data (CMSD) Information Model , 2015, Journal of research of the National Institute of Standards and Technology.

[19]  F. Al-Shamali,et al.  Author Biographies. , 2015, Journal of social work in disability & rehabilitation.

[20]  Armando Fox,et al.  Improving Machine Tool Interoperability Using Standardized Interface Protocols: MT Connect , 2008 .

[21]  David L. Woodruff,et al.  CONWIP: a pull alternative to kanban , 1990 .

[22]  Yeong-Dae Kim,et al.  Hierarchical Production Planning for Semiconductor Wafer Fabrication Based on Linear Programming and Discrete-Event Simulation , 2010, IEEE Transactions on Automation Science and Engineering.