Global Product Family Design: Multi-Objective Optimization and Design Concept Exploration

2012 ◽  
Author(s):  
Kikuo Fujita ◽  
Ken Nasu ◽  
Yuma Ito ◽  
Yutaka Nomaguchi
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Product Family ◽  
Design Concept ◽  
Mixed Integer ◽  
Product Family Design ◽  
Multi Objective ◽  
Concept Exploration ◽  
Supply Chain Configuration ◽  
Chain Configuration

Global product family design is the problem in which product variants and supply chain configuration are simultaneously designed. It has become a significant concern of manufacturing industries under globalization. Its context is not only complicated under various factors and their interactions but also vague under strategic decision making. In this paper, first, a multi-objective mixed-integer formulation of simultaneous design of module commonalization and supply chain configuration is developed under the criteria on quality, cost and delivery, and an optimization algorithm for obtaining Pareto optimal solutions is configured by using a neighborhood cultivation genetic algorithm and simplex method. Then, this paper investigates into design concept exploration on the optimality and compromise in global product family design with data-mining techniques, a principal component analysis technique and a self-organizing map technique. This paper demonstrates some numerical case studies for ascertaining the validity and promise of the proposed mathematical model and computational techniques for supporting the designer’s decision making toward the excellence in global product family design.

Global Product Family Design: A Mathematical Model for Simultaneous Decision of Module Commonalization and Supply Chain Configuration

2011 ◽  
Author(s):  
Kikuo Fujita ◽  
Hirofumi Amaya ◽  
Ryota Akai
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Product Family ◽  
Product Variety ◽  
Optimization Method ◽  
Product Family Design ◽  
Design Production ◽  
Supply Chain Configuration ◽  
The Given ◽  
Chain Configuration

Today’s manufacturing has become global at all aspects of marketing, design, production, distribution, etc. While product family design has been an essential viewpoint for meeting with the demand for product variety, its meaning is becoming more broad and complicated with linking product design with issues on market systems, supply chain, etc. This paper calls such a design situation ‘global product family design,’ and firstly characterizes its components and complexity. Following them, this paper develops a mathematical model for the simultaneous decision problem of module commonalization strategies under the given product architecture and supply chain configuration through selection of manufacturing sites for module production, assembly and final distribution as an instance of the problems. This paper demonstrates some numerical case studies for ascertaining the validity and promise of the developed mathematical model with an optimization method configured with a genetic algorithm and a simplex method. Finally, it concludes with some discussion on future works.

Concurrent Decision-Making of Product Architecture and Supply Chain Configuration

2014 ◽  
Vol 915-916 ◽  
pp. 1518-1527
Author(s):  
Jie Chen ◽  
Yue Huang
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Product Design ◽  
Supply Chain Design ◽  
Product Architecture ◽  
Mixed Integer ◽  
Design Decision ◽  
Architecture Model ◽  
Supply Chain Configuration ◽  
Chain Configuration

The product architecture at early product design stagte has important effects on product design, and supply chain design decision. Considering the mutual effects between product architecture and supply chian design, this paper proposed an improved current decision-making method for product architecture and supply chain configuration. Taking use of an improved product architecture model expression GBOM, we establish mixed integer programming model to optimize the supply chain configuration, which can concurrently determine the product architecture and supply chain configuration, as well as get minimized the total supply chain cost. The numeric example shows that the proposed method is valid.

A decision-making model to support the design of a strategic supply chain configuration

2018 ◽  
Vol 29 (3) ◽  
pp. 515-532 ◽  
Author(s):  
Guang Song ◽  
Luoyi Sun ◽  
Yixiao Wang
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Support Network ◽  
Supply Chain Network ◽  
Affecting Factors ◽  
Content Type ◽  
Supply Chain Configuration ◽  
Decision Making Model ◽  
Industry Sectors ◽  
Chain Configuration

Purpose The purpose of this paper is to apply an empirically based approach to develop a decision-making model that comprehensively incorporates the potential affecting factors and the related significant drivers that support network designers in selecting the appropriate strategic supply chain configuration or checking the coherence of an existing supply chain structure in four industry sectors. Design/methodology/approach The decision-making model is developed based on an empirical study that integrates multiple case studies and statistical analyses. In total, 113 best-in-class manufacturing firms in four sectors are studied to investigate their strategic supply chain configurations and the information of identified affecting drivers. The factor analysis and regression analysis are conducted to classify the drivers into five factor groups, and to identify the significant drivers used to develop the decision-making model. Findings The findings of this research are three-pronged. First, 12 significant drivers related to 5 factor groups affecting strategic supply chain network design (SCND) are identified. Second, a decision-making model is developed to support users in strategic SCND. Last, the main characteristics of various strategic supply chain configurations are summarized in four industry sectors. Research limitations/implications The authors identified valuable insights for both academics and practitioners based on the identified significant affecting drivers and the developed decision-making model. In addition, this study also proposes two potential research lines on the study of additional contextual affecting factors and decision issues in strategic SCND. Originality/value This study could be the first attempt to use an empirically based method to develop a decision-making model aimed at supporting the preliminary design of a supply chain network. Therefore, the drawbacks of a pure qualitative conceptual model and optimization model are eliminated.

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

2017 ◽  
Vol 16 (04) ◽  
pp. 291-315 ◽  
Author(s):  
Imane Ballouki ◽  
Mohammed Douimi ◽  
Latifa Ouzizi
Keyword(s):  
Supply Chain ◽  
Product Design ◽  
New Product ◽  
Production Costs ◽  
Mixed Integer ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent ◽  
Supply Chain Configuration ◽  
Chain Configuration

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 “communication agent” acting like a mediator; it facilitates data exchange between designers. To support distributed decision-making, two models of mixed integer linear programming are adopted and implemented within the framework for supply chain optimization. The overall MAS approach was tested in simulation with a case study. The objective of the simulation is to choose among three product alternatives the cheapest one based on its supplying and production costs, under capacity constraints. The MAS was able to find the best product alternative among three alternatives proposed by product design team and select optimal supply chain means. The optimal supply chain contains two suppliers: one machine and one subcontractor to satisfy customer’s demand.

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