机械制造参考文献

1、‘‘How can a bill of materials be defined so that all possible products can be built efficiently?’’ One way to answer it is to define a set of components (called modules), each of which contains a set of primary functions. An individual product is then built by combining selected modules.

【1】Bruno Agard,Bernard Penz. A simulated annealing method based on a clustering approach to determine bills of materials for a large product family. Int. J. Production Economics 117 (2009) 389–401.

2、In this study, we propose a methodology for building a semantically annotated multi-faceted ontology for product family modelling that is able to automatically suggest semantically-related annotations based on the design and manufacturing repository.

【2】Soon Chong Johnson Lim,Ying Liu,Wing Bun Lee.A methodology for building a semantically annotated multi-faceted ontology for product family modelling. Advanced Engineering Informatics 25 (2011) 147–161.

3、The aim of this work is to establish a methodology for an effective working of Reconfigurable Manufacturing Systems (RMSs). These systems are the next step in manufacturing, allowing the production of any quantity of highly customised and complex products together with the benefits of mass production.

【3】R.Galan,J.Racero,I.Eguia,J.M.Garcia. A systematic approach for product families formation in Reconfigurable Manufacturing Systems.Robotics and Computer-Integrated Manufacturing 23 (2007) 489–502.

4、A mixed integer linear programming model is investigated that optimizes the operating cost of the resulting supply chain while choosing the product variants and can define the product family and its supply chain simultaneously.

【4】Jacques Lamothe,Khaled Hadj-Hamou,Michel Aldanondo. An optimization model for selecting a product family and designing its supply chain. European Journal of Operational Research 169 (2006) 1030–1047.

5、This paper presents LCP-families, a concept to develop reference ranges for environmental impact of a new product. A new product can be catalogued as environmentally better or worse than a percentage of its competitors, depending on what position it occupies in its LCP-family.

【5】Daniel Collado-Ruiz,Hesamedin Ostad-Ahmad-Ghorabi. Comparing LCA results out of competing products: developing reference ranges from a product family approach. Journal of Cleaner Production 18 (2010) 355–364.

6、This paper has proposed a cooperative coevolutionary optimization method for optimal design of product family with multi–level commonality .

【6】L.Schulze,L.Li. Cooperative Coevolutionary Optimization Method for Product Family Design.

7、This paper characterizes a decision framework by which a firm can manage generational product replacements under stochastic technological changes.

【7】Heng Liu,Ozalp Ozer. Managing a product family under stochastic technological changes. Int. J. Production Economics 122 (2009) 567–580.

8、This paper proposes an information search and retrieval framework based on the semantically annotated multi-facet product family ontology to save time for the ontology development in design engineering.

【8】Soon Chong Johnson Lim,Ying Liu,Wing Bun Lee. Multi-facet product information search and retrieval using semantically annotated product family ontology. Information Processing and Management 46 (2010) 479–493.

9、The purpose of the paper is to present Product Variety Analysis (PV A) approach to coordinated and synchronized fows of information about products and production processes among various supply chain members. 【9】Petri Helo,Qianli Xu,Kristianto,Roger Jianxin Jiao. Product Family Design And Logistics Decision Support System.

10、The purpose of this paper is to propose a product family design architecture that satisfies customer requirements with minimal efforts. 【10】Taioun Kim,Hae Kyung Lee,Eun Mi Youn. Product Family Design based on Analytic Network Process.

11、This paper presents a conceptual framework of using semantic annotation for ontology based decision support in product family design.

【11】Soon Chong Johnson Lim,Ying Liu,Wing Bun Lee. Using Semantic Annotation for Ontology Based Decision Support in Product Family Design