Improving supply chain management in construction: what can be learned from the aerospace industry?

In order to provide for controllable delivery, reliable lead times and efficient customer response, lean manufacturing and platform assembly practices play an important role in supply chains in the aerospace industry. The adoption of lean manufacturing practices ensures an efficient delivery of products to the market. Benefits from the development of platform strategies are a more reliable materials supply and an improved logistics control. The aerospace industry is characterized by a small number of major global players and many small ones. A major part of the design and production has been contracted out to suppliers. In this paper the basic similarities and differences between the construction and aerospace industry and supply chains are analysed. A comparative study of aerospace and construction supply chains is presented to indicate and discuss the applicability of supply chain management concepts to construction, and the improvement potential of these concepts regarding supply chain management in construction. It is concluded that in particular the practice of platform assembly is a fruitful concept to be applied in the construction industry

Special Session on Industry 4.0

No abstract available

Designing a product service system in a social framework: methodological and ethical considerations

Macroscopic social and economic changes in the last few years are forcing business companies and public institutions to redefine their approach to social intervention, focusing on local and highly individualised solutions. This change is also calling for a new design approach. The challenge for designers is not only to be able to provide local and highly individualised solutions, but also to propose strategies to transfer and reproduce the solutions, or part of them, into different local contexts, thus creating economy of scope. This would be possible by using forms of codification and modularisation of the most relevant components in local solutions. The code refers to the organisational knowledge included in local components and the way each component interacts with the others. Like software systems, local product-service systems can be built upon a source code. This paper will illustrate how this process was developed in a concrete case. Through this case the authors analyse the possibility to build something similar to a source code for initiatives based on social interaction and investigate the process of construction of such a code Furthermore, the author discuss differences and analogies between design intervention in a social context and in the normal business context. The question of codification suggests a methodological approach for supporting transferability both in the problem space (dealing with complexity) and in the solution space (dealing with contingency). The analysis of differences and similarities between business- and socially-oriented processes suggests a new role for designers and new opportunities for innovation. Keywords: Product Service Systems, Methodology, Design and Morality, Codification, Transferability</p

A framework for developing engineering design ontologies within the aerospace industry

This paper presents a framework for developing engineering design ontologies within the aerospace industry. The aim of this approach is to strengthen the modularity and reuse of engineering design ontologies to support knowledge management initiatives within the aerospace industry. Successful development and effective utilisation of engineering ontologies strongly depends on the method/framework used to develop them. Ensuring modularity in ontology design is essential for engineering design activities due to the complexity of knowledge that is required to be brought together to support the product design decision-making process. The proposed approach adopts best practices from previous ontology development methods, but focuses on encouraging modular architectural ontology design. The framework is comprised of three phases namely: (1) Ontology design and development; (2) Ontology validation and (3) Implementation of ontology structure. A qualitative research methodology is employed which is composed of four phases. The first phase defines the capture of knowledge required for the framework development, followed by the ontology framework development, iterative refinement of engineering ontologies and ontology validation through case studies and experts’ opinion. The ontology-based framework is applied in the combustor and casing aerospace engineering domain. The modular ontologies developed as a result of applying the framework and are used in a case study to restructure and improve the accessibility of information on a product design information-sharing platform. Additionally, domain experts within the aerospace industry validated the strengths, benefits and limitations of the framework. Due to the modular nature of the developed ontologies, they were also employed to support other project initiatives within the case study company such as role-based computing (RBC), IT modernisation activity and knowledge management implementation across the sponsoring organisation. The major benefit of this approach is in the reduction of man-hours required for maintaining engineering design ontologies. Furthermore, this approach strengthens reuse of ontology knowledge and encourages modularity in the design and development of engineering ontologies

Simulation of complex environments:the Fuzzy Cognitive Agent

The world is becoming increasingly competitive by the action of liberalised national and global markets. In parallel these markets have become increasingly complex making it difficult for participants to optimise their trading actions. In response, many differing computer simulation techniques have been investigated to develop either a deeper understanding of these evolving markets or to create effective system support tools. In this paper we report our efforts to develop a novel simulation platform using fuzzy cognitive agents (FCA). Our approach encapsulates fuzzy cognitive maps (FCM) generated on the Matlab Simulink platform within commercially available agent software. We firstly present our implementation of Matlab Simulink FCMs and then show how such FCMs can be integrated within a conceptual FCA architecture. Finally we report on our efforts to realise an FCA by the integration of a Matlab Simulink based FCM with the Jack Intelligent Agent Toolkit

A modular hybrid simulation framework for complex manufacturing system design

For complex manufacturing systems, the current hybrid Agent-Based Modelling and Discrete Event Simulation (ABM–DES) frameworks are limited to component and system levels of representation and present a degree of static complexity to study optimal resource planning. To address these limitations, a modular hybrid simulation framework for complex manufacturing system design is presented. A manufacturing system with highly regulated and manual handling processes, composed of multiple repeating modules, is considered. In this framework, the concept of modular hybrid ABM–DES technique is introduced to demonstrate a novel simulation method using a dynamic system of parallel multi-agent discrete events. In this context, to create a modular model, the stochastic finite dynamical system is extended to allow the description of discrete event states inside the agent for manufacturing repeating modules (meso level). Moreover, dynamic complexity regarding uncertain processing time and resources is considered. This framework guides the user step-by-step through the system design and modular hybrid model. A real case study in the cell and gene therapy industry is conducted to test the validity of the framework. The simulation results are compared against the data from the studied case; excellent agreement with 1.038% error margin is found in terms of the company performance. The optimal resource planning and the uncertainty of the processing time for manufacturing phases (exo level), in the presence of dynamic complexity is calculated

Strategic perspectives on modularity

In this paper we argue that the debate on modularity has come to a point where a consensus is slowly emerging. However, we also contend that this consensus is clearly technology driven. In particular, no room is left for firm strategies. Typically, technology is considered as an exogenous variable to which firms have no choices but to adapt. Taking a slightly different perspective, our main objective is to offer a conceptual framework enabling to shed light on the role of corporate strategies in the process of modularization. From interviews with academic design engineers, we show that firms often consider product architecture as a critical variable to fit their strategic requirements. Based on design sciences, we build an original approach to product modularity. This approach, which leaves an important space for firms' strategic choices, proves also to seize a large part of the industrial reality of modularity. Our framework, which is a first step towards the consideration of strategies within the framework of modularity, gives an account for the diversity of industrial logics related to product modularization.product modularity ; corporate strategy ; technological determinism