| Popis: |
Today, to give the customer a multiple choice of products, the market tends towards diversity and increasing variation of products, this phenomenon is applied also on the automotive sector. Several luxury options are added, cars are becoming more and more intelligent... the thing that increases the profits and competitiveness of companies. From a marketing view, the variation of the products is an advantageous opportunity, whereas the complexity resides in the realization and the management of this variation all along the supply chain, mainly in the production planning process, considering the fact that in the automotive industry the demand is constantly changing following a make to order strategy. This leads us to introduce the subject of this paper which deals with the issue of the dynamic production planning considering the diversity of the products and the impact of these on their quality in the scope of the automotive industry in a tactical planning horizon. To carry out our research we started by understanding the planning process components and how it's managed by referring to the literature review including the international quality management system standard IATF 16949, and the company's generic planning process. And as a result, we concluded that the quality indicators are not included in the production planning process elements. However this one is very important part of the supply chain, since the product quality is a critical factor, as any defective product may impact the safety of the end customer (car driver), also the not compliant product impact the production planning as we are not delivering the desired quantities at the right time. For this reason, the key performance indicators of dynamic production planning must be aligned with those of quality, which is to satisfy the customer's order on time while delivering a product of desired quality, for that we present a case study on an automotive company, where we elaborate a model of production planning in the tactical horizon and included the quality factor which represent the uniqueness of our study as we are studying the planning process considering the productivity and quality performance, we worked with a linear model that includes the cost of non-quality, cost of production, stock level, product manhour and customer demand in order to define the necessary production orders. Our model is simulated and gives satisfying results and we could demonstrate that the production orders are more real according to the production constraints. |
