An Incremental Part Manufacturing Cost Estimation Algorithm Using Petri Nets

Author(s):  
Dimitris Kiritsis ◽  
Paul Xirouchakis

Abstract The problem under consideration is the cost estimation of part manufacturing while taking into account processing alternatives. In order to determine overall costs for feasible process plans we take into account, in our Petri net model, costs caused by machine, setup and tool changing in addition to the single operation cost. We introduce a new Petri net model that allows the application of incremental cost analysis algorithms. This is a CPP-net (Compact Process Planning net) which represents manufacturing knowledge in the form of precedence constraints and incorporates machining cost, machine, setup and tool information in each transition. We show that the CPP-net allows the calculation of the optimum process plan without the need to first develop all possible solutions. We apply the developed methods and calculate the optimum process plan to an industrial case study of a mechanical workpiece of moderate complexity.

Author(s):  
Dimitris Kiritsis ◽  
Paul Xirouchakis

Abstract The problem under consideration is the cost estimation and consequent bid preparation for machined parts subcontracted to mechanical small and medium enterprises (SME). This activity, i.e. cost estimation and corresponding bid preparation, becomes more and more important due to the increasing and globalized competition in this market. There is, therefore, a clear need for precise and accurate cost estimation of machined parts in order for a small company to justify its prices. The proposed prototype software system is based (i) on a manufacturing feature based product description of the part to be machined and (ii) on a non-linear model of its process plan using Petri nets, taking into consideration processing alternatives and precedence constraints, which allows a heuristic based best search of the process plan and, consequently, the corresponding machining time and cost. Product description is done interactively through user friendly interfaces and the corresponding process planning model is constructed automatically in the form of a Petri net. Machine tools and their characteristics are selected from a customized database. Tools and machining parameters are selected through a link with the tool management software TOOL Light©. Minimum time or cost process plans and corresponding bids are reported using the Petri net model of the machined part under consideration and using machining heuristics. The type of parts that are considered in our application are rotational or prismatic parts that are used as components in complex machines like machine tools or automatic assembly machines.


2011 ◽  
Vol 121-126 ◽  
pp. 3612-3616
Author(s):  
Wen Quan Huang ◽  
Kai Shi Li ◽  
Hai Jun Liu

This paper adopts the method labor time standard, in the development environment of VC++, using Access database storage costs data, and the cost results output into Excel, developed mechanical product turning processing manufacturing cost estimation system. Using this system can realize turning processing cost estimation and feedback the cost information of mechanical product turning processing, make a design personnel to understand the cost information, to improve design, reduce the cost, improve the market competitiveness of products


2011 ◽  
Vol 44 (1) ◽  
pp. 5573-5578
Author(s):  
M. Abbas Turki ◽  
D. Esqueda Merino ◽  
K. Kasper ◽  
C. Durieu

2022 ◽  
Vol 166 ◽  
pp. 108728
Author(s):  
Minhee Kim ◽  
Chang-Lak Kim ◽  
Sanghwa Shin

Author(s):  
Zuozhi Zhao ◽  
Jami Shah

The manufacturing knowledge today spans a vast spectrum, from manufacturing process capability/constraint, precedence, algorithms/heuristics of performing feature recognition, process planning and manufacturing time/cost estimation, to Design for Manufacturing (DfM) tactics and strategies. In this paper, different types of manufacturing knowledge have been identified and the ways to represent and apply them are described. An information model is developed as the backbone to integrate other existing tools into the framework. A computational framework is presented to help the manufacturing knowledge engineers formulize their knowledge and store it into the computer, and help the designers systematically analyze the manufacturability of the design.


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