Integrated Process Planning and Scheduling of Mechanical Manufacturing
Abstract
This paper presents a product time and cost estimation method taking account the market dynamics and manufacturing system competitiveness. The method is based on the behavioral modeling using on-line unsupervised learning. On one hand, it is modeled the interaction between task and manufacturing system, and on the other hand the interaction between task and market, finally resulting behavioral modeling of the market-manufacturing system relationship to substantiate the strategic component of the competitive management thus ensuring extension in time of the high performance.
Keywords
Download Options
Introduction
The cost estimation is used in price determination. If the price estimation is less than product cost then can be financial losses for the enterprise. On the other hand, if the price estimation is much higher than the product cost it is possible that the client to place his order with another company that offers a better price. The product time estimation is used to determine the date of the delivery. The classification of the different methods and estimation models used to obtain a reliable quotation is presented in [1] as follows: 1) qualitative estimation methods; 2) quantitative estimation methods.
Qualitative estimation methods include: a) Intuitive methods- based on the use of previous experience. Of them, can be observed case-based methodology and decision support systems, b) Analogical methods- based on the similarity between the new product and past cases. These methods can be classified as regression analysis and artificial neural networks.
Qualitative estimation methods include:
a) Parametric methods- derived from the application of statistical methods to define the cost as a function of different product variables. These methods provide fast estimation; b) Analytical methods- based on the breakdown of the product into elements. Product cost is calculated as a sum of all of the components. Of these methods that are amongst the most reliable can be cited the following: operation-based, breakdown-based, tolerance-based, based on the product feature, ABC method (activity-based-costing).
Conclusion
Note that we propose to give managers a model so that they can interact with the economic environment (market). Practically, this happens before the actual work of manufacturing system, so we have to do with a function of anticipation. The proposed method has the advantage of being applicable to any manufacturing system, regardless the physical nature of the process and the product features. The method provides the extended modeling of the relationship between manufacturing system- market. The level of extension is only limited by the number of the monitored state variables. The level of the modeling accuracy satisfies both the requirements specific to a contract negotiation and the ones specific to the operational management. The developed method allows the identification of the variables of one model that represents the relation between the output and the input model. The proposed method develops cost estimation for the required product in terms of time required by the customer.