An Approach for the Selection of Process Plans Based on Part Family Changes

2013 ◽  
pp. 65-77
Author(s):  
S. M. Hasan ◽  
A. Baqai
Keyword(s):  
Part Family ◽  
Process Plans ◽  
Selection Of

Metrics for Evaluating Machining Process Plans

1999 ◽  
Author(s):  
Kartheek Hirode ◽  
Jami J. Shah
Keyword(s):  
Operation Time ◽  
Machining Process ◽  
Evaluation Metrics ◽  
Plan Evaluation ◽  
Process Plan ◽  
Design Specifications ◽  
Process Plans ◽  
Plan Selection ◽  
Different Levels ◽  
Selection Of

Abstract Selection of the best plan from alternative process plans, and/or plan improvement, requires that we have a set of evaluation metrics. In this paper, we explore the issues related to measures of goodness of process plans at different levels. Several evaluation metrics are proposed such as feasibility, accuracy, consistency, operation-time and setups. These measures can not only help in plan selection but also in pin pointing the flaws in the process plans. Using the proposed metrics, a structured feedback mechanisms and a refinement framework could be developed to arrive at the best process plan. Evaluation is done at the operation and sequence levels, and could be extended to other levels. The measures take into account shapes, sizes, feature relations and all ANSI Y14.5M tolerances in the evaluation of process plans. The proposed measures are also relevant to DFM, since the inability to produce a satisfactory process plan implies difficult to satisfy design specifications.

Assessment of a reconfigurable manufacturing system

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Durga Prasad ◽  
S.C. Jayswal
Keyword(s):  
Lean Manufacturing ◽  
Design Methodology ◽  
Manufacturing System ◽  
Product Family ◽  
Part Family ◽  
Content Type ◽  
Space Cost ◽  
Utilization Cost ◽  
Selection Of

Purpose The purpose of this paper is to develop the methodology which can facilitate the concept of reconfiguration in the manufacturing system. Design/methodology/approach Design methodology includes the calculation of similarity matrix, formation of part family, and selection of part family. ALC algorithm has been used for part family formation and three criteria have been considered for the selection of part family. These criteria are reconfiguration effort, under-utilization cost, and floor space cost. AHP has been used to calculate the weights of criteria and reference ideal method has been used for the selection of alternatives. Findings In the manufacturing system, machines should be grouped on the basis of reconfiguration cost. When the time period is less, light machines and Group 1 machines are added and removed. In the case study, the concept of reconfiguration is useful for families (A, B, C, D). Machines can be reused by adding/removing some modules of machines. The concept of reconfiguration becomes more useful when it is implemented with lean manufacturing. Lean manufacturing techniques Jidoka and Poka-yoke are used to increase the diagnosability of the system. Practical implications Industrial case study has been considered. Social implications Market competition is increasing rapidly and it increases the demand and variety of products, due to which manufacturing enterprises are forced to adapt a manufacturing system which can adjust its capacity and functionality quickly at low cost. To reconfigure manufacturing system from one product/product family to another product/product family, changes can be done in hardware and/or software components in response to sudden changes in the market or in regulatory requirements. Originality/value An integrated approach for reconfiguration has been proposed considering the industrial application. It includes weighted Jaccard function, ALCA, AHP, RIM. The methodology for calculation of reconfiguration effort, under-utilization cost, and floor space cost has been presented for industrial case.

Fuzzy Synthetic Estimation of Multi-Process Planning Schemes in CAPP

2012 ◽  
Vol 433-440 ◽  
pp. 3070-3075
Author(s):  
Ji Lin He ◽  
Zheng Yuan ◽  
Xue Min Zou
Keyword(s):  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Production Cycle ◽  
Manufacturing Cost ◽  
Gray System Theory ◽  
Gray System ◽  
Process Plans ◽  
Synthetic Estimation ◽  
General Kind ◽  
Selection Of

Aiming at the evalution and selection of multi-process plans in CAPP, a general kind of fuzzy comprehensive evalution is proposed according to the principle of fuzzy consistent relation and fuzzy consistent matrix and the correlation of gray system theory, and detailed evalution step is given. Three kind of the process plans are evaluated with the method of fuzzy comprehensive evaluation. The fuzzy synthetic estimation module is founded based on the product quality , manufacturing cost and production cycle. It has been adopted to cases in production and has realized the optimization of process schemes in CAPP.

Parametric Modeling of Part Family Machining Process Plans From Independently Generated Product Data Sets

2003 ◽  
Vol 3 (3) ◽  
pp. 231-242 ◽  
Author(s):  
Zhengdong Huang ◽  
Derek Yip-Hoi
Keyword(s):  
Material Handling ◽  
Product Family ◽  
Parametric Modeling ◽  
Machining Process ◽  
Data Sets ◽  
Data Set ◽  
Part Family ◽  
Product Data ◽  
Process Plans ◽  
Feature Based

Parametric modeling has become a widely accepted mechanism for generating data set variants for product families. These data sets include geometric models and feature-based process plans. They are created by specifying values for parameters within feasible ranges that are specified as constraints in their definition. These ranges denote the extent or envelope of the product family. Increasingly, with globalization the inverse problem is becoming important: Given independently generated product data sets that on observation belong to the same product family, create a parametric model for that family. This problem is also of relevance to large companies where independent design teams may work on product variants without much collaboration only to later attempt consolidation to optimize the design of manufacturing processes and systems. In this paper we present a methodology for generating a parametric representation of the machining process plan for a part family through merging product data sets generated independently from members of the family. We assume that these data sets are feature-based machining process plans with relationships such as precedences between the machining steps for each feature captured using graphs. Since there are numerous ways in which these data sets can be merged, we formulate this as an optimization problem and solve using the A* algorithm. The parameter ranges generated by this approach will be used in the design of tools, fixtures, material handling automation and machine tools for machining the given part family.

scholarly journals Integrated Design of Process-Tolerance for Remanufacturing Based on Failure Feature

2021 ◽  
Vol 11 (14) ◽  
pp. 6377
Author(s):  
Yanxiang Chen ◽  
Zhigang Jiang ◽  
Hua Zhang ◽  
Wei Yan
Keyword(s):  
Search Algorithm ◽  
Integrated Design ◽  
Optimization Method ◽  
Case Based Reasoning ◽  
Failure Characteristics ◽  
Serial Production ◽  
Process Plans ◽  
Fault Features ◽  
Process Tolerance ◽  
Selection Of

The uncertainty failure of the used part leads the complexity selection of remanufacturing processes. The different remanufacturing process combinations among used parts of used products also make the formulation of tolerance schemes more difficult. It is hard to guarantee the optimality of process-tolerance schemes by traditional serial production modes in general, in which tolerance design is followed by process formulation. In order to generate the optimal remanufacturing scheme of process and tolerance for used products, an optimization method to integrate designs of process-tolerance (IDP-T) based on fault features was presented. In this work, the failure description set of used parts was constructed by combining the attribute characteristics and failure characteristics. Case-based reasoning (CBR) was first utilized to generate the feasible remanufacturing process plans of used parts. Then, based on the feasible process plans, the factors of cost, quality loss, closed-loop accuracy and machining ability of remanufacturing were comprehensively considered to construct the optimization model of IDP-T. The Beetle Antennae Search algorithm (BAS) was used for the optimal alternative selection. Finally, a used gearbox was taken as an example to illustrate the validity and practicality of the proposed method. The results showed that the proposed method was effective in the optimization of IDP-T for remanufacturing.

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