Develop a cost model to evaluate the economic benefit of remanufacturing based on specific technique

Remanufacturing is a process of recovering used products to a like-new condition. It can potentially achieve considerable economic, environmental and social benefits in many applications. However, its economic benefit varies for different products and remanufacturing processes. This research aims to develop a framework and cost model to quantitatively evaluate the benefits of remanufacturing techniques to assist the decision making on end-of-life strategies. Additive manufacturing-based remanufacturing process has been modelled first, then cost breakdown structure for the process has been created, and the cost model has been developed. Validation of the cost model has been conducted based on expert judgement, and a case study has been carried out by using the developed cost model to compare the benefit of remanufacturing a specified component or making a new one

Improvement of product design process by knowledge value analysis

Nowadays, design activities remain the core issue for global product development. As knowledge is more and more integrated, effective analysis of knowledge value becomes very useful for the improvement of product design processes. This paper aims at proposing a framework of knowledge value analysis in the context of product design process. By theoretical analysis and case study, the paper illustrates how knowledge value can be calculated and how the results can help the improvement of product design process, such as deciding which knowledge to choose and what to do next

Compatibility measurement in collaborative conceptual design

A product consists of various sub-functions elaborated by alternative design principles which results in many combinations. In collaborative design, designers expect that their preferences over the combinations be respected during the combination process of sub-functions, resulting in compatible combinations. We formulate the selection of compatible combinations as a combinatorial problem by: (i) defining a design principle as a list of variables with their domain and direction of designer's preferences, (ii) considering constraints among design principles, (iii) characterizing the compatibility level of combinations. A vacuum cleaner is considered with dust bag, plastic bin or cyclonic design principles for the dust collection sub-function.close2

Compatibility measurement in collaborative conceptual design

A product consists of various sub-functions elaborated by alternative design principles which results in many combinations. In collaborative design, designers expect that their preferences over the combinations be respected during the combination process of sub-functions, resulting in compatible combinations. We formulate the selection of compatible combinations as a combinatorial problem by: (i) defining a design principle as a list of variables with their domain and direction of designer's preferences, (ii) considering constraints among design principles, (iii) characterizing the compatibility level of combinations. A vacuum cleaner is considered with dust bag, plastic bin or cyclonic design principles for the dust collection sub-function

A competence-based industrial learning approach for factories of the future: A Result of the FP7-FoF Project ActionPlan T

In this paper we propose a generic competence-based approach for Industrial Learning. The approach is composed of (i) an Industrial Learning model which serves to represent and understand competence-based learning, and (ii) a methodology which implements through a number of steps the Industrial Learning actions defined using the Industrial Learning model in industrial organisations. Both the model and the methodology are presented in details. A metrics-based method for evaluating the implementation of the approach is also described