A simulation based approach for supply network control

We focus on the problem of strategic network design in the context of multi-site enterprises. We develop a simulation model for various supply network designs evaluation. The suggested model is generic in the sense that only input data modifications are needed to adapt the model to a given supply network structure, while the model's procedural logic stays unchanged. The model reproduces the dynamics of the totality of the supply chain activities. It takes into account control policies related to the inventory management and to the scheduling of production activities. It also carries out local optimisations by dynamically allocating the customers’ demands to the appropriate distribution site and the replenishment orders expressed by the distribution and production sites of the enterprise so as to minimise a global cost function. Simulation execution permits to compute various performance measures. These indicators inform the decision-maker about the profit of the enterprise and about its customer's service level. In this paper, we propose to detail the simulation model. Then, for a fictitious problem of supply network design based on two real life applications, we highlight the influence of the control policies on the performance of the studied enterprise.

[1]  Sergio Cavalieri,et al.  Simulation in the supply chain context: a survey , 2004, Comput. Ind..

[2]  Nejat Karabakal,et al.  Supply-Chain Analysis at Volkswagen of America , 2000, Interfaces.

[3]  Hartmut Stadtler,et al.  Supply Chain Management and Advanced Planning: Concepts, Models, Software, and Case Studies , 2010 .

[4]  Fouad Riane,et al.  Strategic Design for the Supply Network of Multi-site Enterprises , 2006 .

[5]  Chu‐Hua Kuei,et al.  Designing and Managing the Supply Chain Concepts, Strategies, and Case Studies , 2000 .

[6]  Florence Pirard A hybrid decision aid approach for supply networks of multi-site enterprises redesign and strategic planing / Une démarche hybride d'aide à la décision pour la reconfiguration et la planification stratégique des réseaux logistiques des entreprises multi-sites , 2005 .

[7]  Nilay Shah,et al.  Object-oriented dynamic supply-chain modelling incorporated with production scheduling , 2006, Eur. J. Oper. Res..

[8]  Alain Martel,et al.  The design of production-distribution networks: A mathematical programming approach , 2005 .

[9]  Paul van Beek,et al.  Modelling and simulating multi-echelon food systems , 2000, Eur. J. Oper. Res..

[10]  Marc Goetschalckx,et al.  Strategic production-distribution models: A critical review with emphasis on global supply chain models , 1997 .

[11]  Abdelhakim Artiba,et al.  Introduction to Intelligent Simulation: The Rao Language , 1998 .

[12]  Daniel W. Schunk,et al.  Using simulation to analyze supply chains , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[13]  G. Reiner,et al.  Customized supply chain design: Problems and alternatives for a production company in the food industry. A simulation based analysis , 2004 .

[14]  F. Riane,et al.  A generic scalable simulation model for strategic supply chain management with emphasis on production activities , 2008, Int. J. Comput. Integr. Manuf..