Authors: Mouna Mezghani, Abdelwaheb Rebai, Abdelaziz Dammak, Taicir Loukil
Addresses: Faculte des Sciences Economiques et de Gestion de Sfax, Laboratory GIAD, BP1088, 3018, Tunisia. ' Faculte des Sciences Economiques et de Gestion de Sfax, Laboratory GIAD, BP1088, 3018, Tunisia. ' Faculte des Sciences Economiques et de Gestion de Sfax, Laboratory GIAD, BP1088, 3018, Tunisia. ' Institut Superieur de Gestion Industrielle de Sfax, Laboratory LOGIQ, BP 954, 3018, Tunisia
Abstract: Aggregate Production Planning (APP) involves the simultaneous determination of company|s production, inventory and employment levels over a finite time horizon to minimise the total costs while meeting the forecasted demand. Other objectives can be to minimise the fluctuation on the employment levels, the inventory levels or to reach some standard on the performance levels. The objective of this paper is to propose an effective method to elaborate an aggregate plan which takes into account the manager|s preferences. We propose a Goal Programming (GP) approach, with satisfaction functions. This latter has not been used in the field of APP. Applied to a real case problem, weighted GP has initially been used; the results were not satisfactory for the manager. Our GP with satisfaction function gives, very satisfactory results for the manager.
Keywords: APP; aggregate production planning; goal programming; multiple-objective modelling; weighted GP; satisfaction functions.
International Journal of Operational Research, 2009 Vol.4 No.1, pp.23 - 34
Available online: 30 Nov 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article