scholarly journals Virtual supply chain configuration : modeling and decision making

2007 ◽  
Author(s):  
Xiao You
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Configuration ◽  
Chain Configuration

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.

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.

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.

Sign in / Sign up

Export Citation Format

Share Document