Risikominimierung im Wertschöpfungs- und Innovationsprozess mittels einer modifizierten FMEA

2011 ◽  
Vol 52 (1) ◽  
pp. 15-19
Author(s):  
Armin Wittmann
Keyword(s):  
Supply Chain ◽  
Product Design ◽  
Supply Chain Design ◽  
Chain Rules

Durch den steigenden Konkurrenzdruck und die rasanten Veränderungen des Marktes zu weiteren umfassenden Kostenreduzierungen gezwungen, haben zahlreiche Unternehmen, um die Profitabilität und Wettbewerbsfähigkeit zu verbessern, ihre Aktivitäten zur Kostenreduzierung auf die gesamte Wertschöpfungskette ausgedehnt und diese nachhaltig verändert. Aber auch wenn diese in sich optimiert erscheint, verbleiben Risiken, die umso größer sind je komplexer das Produkt ist. Die bisher in der Industrie, mangels geeigneter Methode nur individuell und intuitiv eingeschätzten Risiken und ihre Konsequenzen werden nun mit einer neu entwickelten Supply Chain FMEA quantifizierbar. Nach einer erstmalig dann effizient möglichen Quantifizierung der Risiken können dann Gegenmaßnahmen zur Risikominderung definiert werden. Der Fokus soll bei den Gegenmaßnahmen liegen mit denen das Produkt während seiner Entwicklung beeinflusst werden kann. Sie werden als neue Supply Chain-spezifische Entwicklungsrichtlinien (Design for Supply Chain Rules) formuliert. The supply chain of a product plays a key Role in the competitiveness of an enterprise. This becomes more important due to the fact that actions to further reduce costs have caused the supply chain to lose redundancies and become more vulnerable to disturbances. Based on the results of the new SC-FMEA, methods of resolutions have been defined and quantified in the form of design for supply chain guidelines in order to better adjust the product design and the supply chain design and make the SC more robust and flexible. Keywords: risikominimierung im wertschöpfungs und innovationsprozess

An Integrative Methodology for Product and Supply Chain Design Decisions at the Product Design Stage

2011 ◽  
Vol 133 (2) ◽  
Author(s):  
Ming-Chuan Chiu ◽  
Gül Okudan
Keyword(s):  
Supply Chain ◽  
Product Design ◽  
Supplier Selection ◽  
Supply Chain Design ◽  
Simultaneous Optimization ◽  
Design Stage ◽  
Supply Chain Performance ◽  
Bicycle Industry ◽  
Key Factor ◽  
Optimization Methodology

Supplier selection is one of the key decisions in supply chain management. Companies need not only to make the “make” or “buy” decisions but also differentiate across potential suppliers in order to improve operational performance. Product design is an engineering based activity that realizes the customer requirements into functions of a new product. Many studies have pointed out that the integration of product and supply chain is a key factor for profitability and efficiency. However, most studies address supply chain performance after freezing the design of the product; only a few studies discuss when and how to incorporate supply chain decisions during product design. This paper presents a graph theory based optimization methodology to tackle this problem. The supplier selection issue is considered by evaluating its impact on both internal (e.g., ease of assembly) and external (e.g., transportation time) enterprise performances, which are aggregated as supply chain performance at the conceptual design stage. A case study in the bicycle industry demonstrates the advantages of this methodology. The presented mathematical programming formulation enables simultaneous optimization of both product design and supply chain design during the early design stages.

A Small to Medium-Size Enterprise Oriented Methodology for Optimizing Product and Supply Chain Design Decisions

2010 ◽  
Author(s):  
Ming-Chuan Chiu ◽  
Gu¨l E. Okudan
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Product Design ◽  
Supplier Selection ◽  
Supply Chain Design ◽  
Operational Performance ◽  
Design Stage ◽  
Medium Size ◽  
Supply Chain Performance ◽  
Chain Management

Today supply chain management has become one of the crucial factors for gaining and sustaining a competitive advantage. Enterprises that can more effectively manage their supply chain network have a higher likelihood of success in the marketplace. To this end, companies need not only make the “make” or “buy” decisions but also differentiate across potential suppliers in order to improve operational performance, and hence, supplier selection is one of the key decisions aiding effective supply chain management. Many studies have also pointed out that the integration of product and supply chain is a key factor for profitability and efficiency. However, prior studies mostly address supply chain performance after the creation of a new product; and only a few studies discuss when and how to incorporate supply chain decisions during product design. In the studies that cover product design, product family and product platform concepts are presented as enabling vehicles for mass customization, which require a considerable investment, and hence might be out of reach for small to medium size enterprises (SME). Accordingly, there is a need to develop a methodology that can consider manufacturability and supply chain issues at the product design stage. This paper presents a graph theory based optimization methodology to tackle this problem. The supplier selection issue is considered by evaluating its impact on both engineering (e.g., process planning) and operational performance (e.g., cost and time), which are then aggregated as the supply chain performance at the conceptual design stage. A case study in the bicycle industry demonstrates the advantages of this methodology. The synchronized structure of the supply chain and the product design results in simultaneous optimization of both design and supply chain decisions during the early design stages.

New Framework to Optimize Leagile Supply Chain Design

2019 ◽  
Vol 01 (01) ◽  
Author(s):  
Dang Nguyen ◽  
Thien Dao
Keyword(s):  
Supply Chain ◽  
Product Design ◽  
Theoretical Basis ◽  
Lead Time ◽  
New Products ◽  
Supply Chain Design ◽  
Product Families ◽  
Second Stage ◽  
Future Supply ◽  
New Framework

The literature of Leagile supply chain (LASC) is lacking of the concurrence between supply chain (SC) design and product design, and missing the placement of decoupling point (DP) in the SC design. Therefore, the paper aims at presenting a novel framework to optimise LASC design while fulfilling the aforementioned gaps. The first step utilises Lean tools to identify the optimal architecture of product families through the so-called Leagile bill-of-material in product design. This phrase intends to reduce the storage keeping unit of components (leaner) while increasing their combining ability in a wider range of new products (more agile). Meanwhile, the second stage outlines the preliminary configuration of the future supply chain and transforms it into the Lean system. Next, the supplier network of this chain is matched with the product structure. The last step formulates the issue in one mathematical model to define the optimal LASC’s configuration, which includes positioning the best DP in various delivery lead time. In discussing the obtained solutions, the article complements to the theoretical basis by examining the locations of DP corresponding to the product’s complexity. The whole framework is illustrated by one specific example and solved by Priority Generic Algorithm Meta-Heuristic, programed with MATLAB.

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.

An Investigation of Product Modularity and Supply Chain Performance at the Product Design Stage

2011 ◽  
Author(s):  
Ming-Chuan Chiu ◽  
Gu¨l E. Okudan
Keyword(s):  
Supply Chain ◽  
Product Design ◽  
Supply Chain Design ◽  
Design Stage ◽  
Supply Chain Performance ◽  
Design Decisions ◽  
Cost Performance ◽  
Design Concepts ◽  
Supply Chain Risks ◽  
The Impact

The benefit of integrating product design decisions and supply chain design decisions has been noticed by researchers. This integration can provide better communication between design teams and operations groups. Accordingly, potential supply chain risks can be highlighted before the launch of a new product. Modularization is one of the most critical product design and supply chain design decisions because it will determine the assembly sequence and potential suppliers of the product in the supply chain execution. However, the impact of modularity level on supply chain performance is still unclear. The objective of this study is to tackle this issue. The proposed method covers product design functions and supply chain design functions, hence the product design decisions and supply chain design decisions can be considered simultaneously. The supply chain performance of all design concepts is comprehensively investigated so as to analyze the impact of modularity on supply chain performance regarding lead-time and cost. The results show that increased modularity is advantageous for the time-based performance of supply chain network whereas decreased modularity demonstrates superiority on cost performance.

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