Minimization of drilling costs: A closed-form solution

Shaikh, Muzaffar; Hansotia, Behram J.

doi:10.1016/0360-8352(92)90156-e

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…Based on the above models, many scholars at home and abroad have carried out other research on tolerance-cost design. Shaikh and Hansotia [4], and Jha [5] discussed different aspects of manufacturing cost. Chang-Xue(Jack)Feng et al [6] put forward cost to calculate for four different cases: traditional machining, simultaneous machining, simultaneous set-up and changeover, and multiple machine tools.…”

Section: Literature Reviewmentioning

confidence: 99%

A Method on the Decision of Tolerance Grade Based on Cost and Lifetime

Hong

et al. 2011

AMR

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Product tolerance is one of the important factors which affect the quality and cost of product. However, influenced by many complicated factors, there are still many problems which need to be resolved compared with other research works in CAD field. How to determine tolerances of product effectively is still a big problem. Based on exponent model of tolerance-cost, the relationships between tolerance and other characteristics influencing processing cost are studied in this paper. A relational model of tolerance-cost is come up with based on the above relationships. And then, internal relation between tolerance and lifetime is discussed. Meanwhile, along with the lifetime converted into the cost, the compensated relational model of tolerance-lifetime is presented. Finally, the method on the decision of tolerance grade is analyzed. This paper realizes the organic combination of tolerance, lifetime and cost, and effectively decides how to generate tolerance grades.

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Section: Literature Reviewmentioning

confidence: 99%

A Method on the Decision of Tolerance Grade Based on Cost and Lifetime

Hong

et al. 2011

AMR

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“…A number of papers have examined feature-based models focusing on machining form features [1,15]. Research work in activity-based cost estimation of components can be found in the work of Shaikh and Hansotia [16], Das et al [17,18], Luong and Spedding [19] and Pham and Gologu [20].…”

Section: Introductionmentioning

confidence: 99%

A prototype constraint-based system for the automation and optimization of machining processes

Gayretli

Abdalla

1999

Proceedings of the Institution of Mechanical Engineers, Part B:

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This paper presents an intelligent design system that enables designers to consider at the early stages of the design process all issues associated with the product life cycle. The evaluation and optimization of machining processes are among the most important aspects of these issues, requiring the involvement of various types of information from the different aspects of the product life cycle. The representation of this information in efficient format is very important for carrying out different design tasks. In order effectively to manage information exchange within different design and manufacturing domains, it is necessary to provide an efficient and timely communication network system. Therefore, various critical tasks such as overall coordination, control, consistency and data integrity have to be considered in order to avoid costly design iterations. This research article has focused on the development of a prototype system for machining process optimization.The system uses a combination of both mathematical methods and constraint programming techniques and provides designers with the evaluation and optimization of feasible machining processes in a consistent manner at the early stages of the design process. As a result, unexpected and costly design iterations, which result in wastage of a great amount of engineering time and effort, and in a longer lead time, can be avoided.The development process has passed through four major stages. Firstly, an intelligent constraintbased design system for concurrent product and process design, including a machining process optimization module, has been developed. Secondly, the product features, processes, cost, time and requirements have been represented in the format of constraints, frames, objects and production rules in order to be utilized to accomplish different design tasks. Thirdly, rules for the selection and optimization of feasible processes for complex features have been written, and finally, an information management system, with a conflict resolution mechanism, has been developed to achieve consistency in information exchange and decision-making activities between the different design areas.

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