A decision support framework for remanufacturing of highly variable products using a collective intelligence approach (original) (raw)

A multi-agent approach to support simultaneous design of a product and its supply chain

2015

In recent decades, the simultaneous design of a product and its supply chain has become a trend in the manufacturing industry. This approach, requiring massive data sharing, allows different designers to collaborate in order to choose the best product design along with its corresponding supply chain, taking into account cost, quality, and time. To get a successful collaboration between designers, we need to model communication flow between product and supply chain designers during all product lifecycle. This model must be simple and easy to adopt by any company structure. In this paper, we present a multi-agent approach that aims to support communication between product and supply chain designers in a simultaneous design . Unified modeling language (UML) is used to model this approach.

Decision Support Tool for Supply Chain Configuration Considering New Product Re-Design: An Agent-Based Approach

Journal of Advanced Manufacturing Systems, 2017

In the decline phase of product lifecycle, industrials need to re-design their products to introduce new functions and/or customers’ new preferences. These changes may not only affect the product’s bill of material, but also its supply chain network. Consequently, new supply chain costs are generated. This paper addresses the problem of supply chain configuration considering new product re-design using a multi-agent system (MAS). The objective of the system is to ensure good collaboration between two different points of view, supply chain partners and product designers, to make better decisions. To model the proposed system, we select the multi-agent system engineering (MaSe) methodology. The MAS framework contains three types of agents, namely, “product design agent” and “supply chain agents” which are fitted with optimization tools. These tools allow costs’ optimization and selection of supply chain means (suppliers, technologies, etc.). Finally, the system contains a “communicati...

An Agent-Based Decision Support Platform for Additive Manufacturing Applications

Applied Sciences, 2020

The effective estimation and consideration of process cost, time, and quality for additive manufacturing operations, when a series of suitable technologies and resources are available, is very important for making informed product design and development decisions. The main objective of this paper is to propose the design, deployment, and use of an agent-based decision support platform, which is capable of proposing alternative additive manufacturing resources and process configurations to design engineers while reducing the number of communication steps among engineering teams and organizations. Different computer-aided systems are utilised and interfaced for automating the information exchange as well as for accelerating the overall product development process.

An integrated information system for product design assistance based on artificial intelligence and collaborative tools

International Journal of Product Lifecycle Management, 2006

Most of the time, the innovative product concept identification is based on strategic and complex processes. Design actors' individual initiatives and development of new ideas emerge from conflicting contexts combining the technical, economical and social aspects. In this paper, we propose a new approach that aims at assisting design product from the early phases of the design process to the embodiment design phase. We suggest a combination of Product Lifecycle Management (PLM) system and specific developed tools (Meta-modelling techniques, Numeric-CSP solver and 'Innovation Development and Diffusion' (ID 2 ) system) to enhance cultural heterogeneity encountered within the team project and to take advantage of this aspect to foster design innovation and product quality.

Developing intelligent manufacturing systems using collaborative agents

1999

Agent technology has been considered as an important approach for developing distributed intelligent manufacturing systems. This paper presents some preliminary results of our two ongoing research projects related to the development of a new collaborative agent system architecture for intelligent manufacturing systems. The main features of the proposed architecture are described; some domain independent mechanisms and components are briefly introduced; and a case study is presented.

Closed-Loop Product Lifecycle Management Based on a Multi-agent System for Decision Making in Collaborative Design

Knowledge Science, Engineering and Management, 2016

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An Agent-Based System for the Design of New Products Using a Fuzzy Multicriteria Approach

International Journal of Fuzzy Systems, 2020

The intense competition of global markets stimulates a significant change in the way products are designed, manufactured, and delivered. Such a situation is forcing companies to consider the use of new tools to support this decision process. This paper describes an agent-based system implementing a novel consumer-based fuzzy multicriteria methodology to support the design of new products. It argues that a combination of marketing decision support systems, multicriteria and multiobjective methodologies, fuzzy models, and agent technologies could be a valuable tool to assist marketing managers in new product design applications. In the multi-agent system architecture, software agents were classified into types and organized in teams. The first includes interface, task, and information agents. The second reflects Simon's decisionmaking process, including intelligence, design, and choice teams. The communication between agents is carried out using an ontology. An example of system operation attempting to get the design of new corn oil is presented using sequence diagrams.

Multi-agent System to Support Decision-Making Process in Ecodesign

Advances in Intelligent Systems and Computing, 2015

In this paper, the application of multi-agent system to support decision-making process in design for recycling is presented. The design for recycling term is highlighted either as the design problem or from the point of view of regulations. The structure of agent system supporting the designer during the design process is showed. The basis of special kind of product model, that is the extension of standard 3D product model, called recycling-oriented product model, is described. The example results of analysis, based on real household appliance model, are presented.

Knowledge-intensive collaborative decision support for design processes: A hybrid decision support model and agent

Computers in Industry, 2008

This paper proposes a hybrid decision support model within a multi-agent framework to facilitate integration and collaboration for design decisions in decision-based design. The hybrid decision model integrates the compromise decision support problem technique (cDSP) and the fuzzy synthetic decision model (FSD) to quantitatively incorporate qualitative design knowledge and preferences of designers for multiple, conflicting attributes stored in a knowledge repository so that a better understanding of the consequences of design decisions can be achieved from a more comprehensive perspective. The focus of this work is on the provision of a hybrid decision model and framework for improved cooperative design decision support. The novelty of the work is in combination of different models for making collaborative design decisions in both objective and subjective nature, in particular the fuzzy negotiation mechanism using the hybrid decision model. The developed hybrid decision model and framework are generic and flexible enough to be used in a variety of decision problems. Finally, the proposed hybrid decision model and framework are illustrated with applications in collaborative concept evaluation and selection in product family design for mass customization.