Combined manufacturing and cost complexity scores-based process selection for hybrid manufacturing

被引：6

作者：

Tlija, Mehdi ^{[1
,2
]}

Al-Tamimi, Abdulsalam A. ^{[1
]}

机构：

[1] King Saud Univ, Coll Engn, Dept Ind Engn, Riyadh, Saudi Arabia

[2] King Saud Univ, Coll Engn, Dept Ind Engn, Riyadh 11421, Saudi Arabia

来源：

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE | 2023年 / 237卷 / 10期

关键词：

Hybrid additive manufacturing; decision making; smart manufacturing; costing; design for manufacturing; SUBTRACTIVE PROCESSES; SUPPORT STRUCTURES; OPTIMIZATION; MODEL; ALLOCATION; DFM;

D O I：

10.1177/09544054221136524

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Smart manufacturing involves the use of emergent technologies and requires dynamic feedback of customer's demands. These concerns need a rapid Decision Support System (DSS) considering emergent manufacturing processes such as Additive (AM) and Hybrid (HM) Manufacturing and tracking the product changes. This paper proposes a DSS for process selection based on manufacturing complexity and cost. The complexity parameters, deduced from design for manufacturing (DFM), design for additive manufacturing (DFAM) and design for hybrid manufacturing (DFHM) rules, are automatically extracted from computer aided design (CAD) model to follow the product changes. Cost models are defined for each manufacturing process type. In design phase, the manufacturing cost estimation allows considering the cost as a selection factor. The combined complexity based on manufacturing difficulty and cost represents a new paradigm for process selection. The case studies show the reliability of the proposed DSS and its ability to respect the company resources and strategy.

引用

页码：1473 / 1484

页数：12

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