- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
Within production planning and control (PPC) complex interdependencies are present. Companies have to deal with fields of tension created by frequently opposing logistic objectives. Conducting an active and expedient positioning within the conflicts between the logistic objectives is of utmost strategic importance. This paper presents an approach for modelling the impact of tasks of production planning and control on a supply chain’s logistic objectives. A production planning and control framework is thus established. First of all the PPC tasks are described universally valid. Moreover the framework contains systems of logistic objectives for the core processes of a company’s internal supply chain showing the interdependencies and highlighting existing fields of tension. Quantitative logistic models are located within the framework, so that they can be used for calculating values for PPC parameters and moreover for positioning the production within the indicated fields of tension. In addition a case study is introduced to illustrate the use of the approach in industry.
The Hanoverian Supply Chain Model is a new framework for production planning and control and supply chain management. On the one hand the tasks of PPC are described universally valid. For this reason the process description of the model can be used to design or improve processes. On the other hand systems of logistic objectives are defined for five core processes representing a company’s internal supply chain. The connection between the PPC tasks and the systems is shown using a systematic approach. Existing fields of tension are discussed. Quantitative logistic models are located within the framework, so that they can be used for calculating values for PPC parameters and moreover for positioning the production within the indicated fields of tension. Summing up the Hanoverian Supply Chain Model clarifies the interactions in PPC and supports companies to position within fields of tension created by logistic objectives.