Hierarchical production planning with flexibility in agroalimentary environment: a case study

In this paper we address to the planning problem in the agroalimentary domain. In such industry, several specific constraints should be taken into account for planning task such as the constraints of interdependencies between the products and variable production modes. Furthermore, we present the relationship between two large fields as the production hierarchical planning and the flexibility. Especially, we show that the flexibility planning should be made a priori and then integrated in the hierarchical planning process. Indeed, we have established a mathematical model according to different production levels. While taking into account real capacities of the shop and the interdependencies between the products, the results of our formulation are satisfactory in terms of quality of solution and time requirements. It’s shown that our model is able to reach all optimal solutions for all treated models and for all system levels.

[1]  Slim Hammadi,et al.  A distributed scheduling for agro-food manufacturing problems , 2003, IEEE Trans. Syst. Man Cybern. Part C.

[2]  Jean-Claude Hennet,et al.  Hierarchical scheduling for decision support , 2005, J. Intell. Manuf..

[3]  Harold Koontz A Preliminary Statement of Principles of Planning and Control , 1958 .

[4]  D. H. P. Panandiker Food processing industries. , 1990 .

[5]  R. Reix La flexibilité de l'entreprise , 1979 .

[6]  Roberto Tadei,et al.  Aggregate planning and scheduling in the food industry: A case study , 1995 .

[7]  Analysis of production planning in case of the random demand , 1999 .

[8]  van Wouter Wezel,et al.  The planning flexibility bottleneck in food processing industries , 2006 .

[9]  Panagiotis Kouvelis,et al.  Design and planning problems in flexible manufacturing systems: a critical review , 1992, J. Intell. Manuf..

[10]  Donald Gerwin,et al.  An agenda for research on the flexibility of manufacturing processes , 1987 .

[11]  Jan L. Top,et al.  Using recipe classes for supporting detailed planning in food industry: A case study , 2000, Eur. J. Oper. Res..

[12]  A. Galip Ulsoy,et al.  Reconfigurable manufacturing systems: Key to future manufacturing , 2000, J. Intell. Manuf..

[13]  Christoph A. Schneeweiss,et al.  Distributed Decision Making , 2003 .

[14]  Paul M. Swamidass,et al.  Manufacturing strategy, environmental uncertainty and performance: a path analytic model , 1987 .

[15]  Pierre Borne,et al.  A study of scheduling problem in agro-food manufacturing systems , 2002, Math. Comput. Simul..

[16]  Fatma Tangour,et al.  Multiobjective Optimization Scheduling Problems by Pareto-optimality in Agro-alimentaryWorkshop , 2006, Int. J. Comput. Commun. Control.

[17]  G. Buxey Production Planning and Scheduling for Seasonal Demand , 1993 .

[18]  Suhua Hsieh,et al.  Demand and cost forecast error sensitivity analyses in aggregate production planning by possibilistic linear programming models , 2000, J. Intell. Manuf..

[19]  H. Jönsson,et al.  Aggregation and Disaggregation in Hierarchical Production Planning , 1984 .

[20]  Howard Raiffa,et al.  Games And Decisions , 1958 .

[21]  Bernard Grabot,et al.  Integration of uncertain and imprecise orders in the MRP method , 2005, J. Intell. Manuf..