Technological Forecasting and Social Change : 抄録雑誌の概要

Annual Report 2017

Some aspects of research supply chains problems are proposed in this regular session.

http://ieeexplore.ieee.org/iel7/7368810/7380113/07380245.pdf

Supply chain

Nowadays, with the introduction and application of new information technologies in manufacturing, various advanced manufacturing modes and national strategies have been put forward and paid more and more attention, such as Industry 4.0, Industrial Internet, Cyber-Physical System or Cyber Manufacturing, Made in China 2025, Internet Plus Manufacturing, Cloud Manufacturing, etc. For these modes and strategies, how to realize the effective and intelligent supply–demand matching (SDM) of various manufacturing resources and capabilities (MR&C) in the form of service is one of the common issues and aims. In order to provide a uniformed research platform for related researchers both in academic and industry, the concept of manufacturing service SDM simulator (SDMSim) is proposed in this paper. A hypernetwork based architecture for the simulator is designed, as well as its seven key functions and subsystems, including manufacturing service management, manufacturing task management, manufacturing service SDM hypernetwork, manufacturing service SDM problem formulation and configuration, matching and scheduling algorithms/strategies selection and design, statistical analysis, and visualization. It illustrates that SDMSim has the potential to serve the users of manufacturing service provider, manufacturing service consumer, manufacturing service operator in the field of SoM, as well as the related researchers.

SDMSim: A manufacturing service supply–demand matching simulator under cloud environment

Supply chain (SC) disruptions are considered events that temporarily change the structural design and operational policies of SCs with significant resilience implications. The SC dynamics and compl...

Ripple effect quantification by supplier risk exposure assessment

This paper presents a brief overview of semiconductor manufacturing followed by the results of a panel session held at the Fourth International Conference on Modeling and Analysis of Semiconductor Manufacturing (MASM) in Miami, December 10, 2008 on the role of modelling and analysis in semiconductor manufacturing in a shrinking world. Three participants are from Asia, two from Europe, and two from the USA in addition to the two panel organisers (Fowler and Monch). At least one panellist from each continent is from industry and one from academia. The statements of the panellists from industry relate to modelling and analysis problems found in their own companies. Those of the academic panellists describe the role that modelling and analysis has played and is expected to play in their semiconductor manufacturing research. Their views on the challenges and successes of modelling and analysis in a globalised world are also included. Finally, we identify some future research challenges for semiconductor manufa...

Modelling and analysis of semiconductor manufacturing in a shrinking world: challenges and successes

Managing complexity in supply chains: A discussion of current approaches on the example of the semiconductor industry

A panel session on the role of modeling and analysis in semiconductor manufacturing in a shrinking world is presented. Therefore, two participants are from Asia, two from Europe, and two from US and there are two panel organizers/ moderators (Fowler and Monch). One panelist from each continent is from industry and one from academia. Only initial position statements are included in the proceedings. However, these initial statements form the basis for the panel discussion. The statements of the panelists from industry relate to modeling and analysis problems found in their own companies. The position statements of the panelists from academia describe the role that modeling and analysis is expected to play in their current and ongoing research in semiconductor manufacturing. Furthermore, their views on the challenges and successes of modeling and analysis in a globalized world are also included.

/pdf/modeling-and-analysis-of-semiconductor-manufacturing-in-a-1v6t1fvfjf.pdf

Modeling and analysis of semiconductor manufacturing in a shrinking world: challenges and successes

In this paper, we describe major steps to build a supply chain simulation reference model for the semiconductor industry. We start by identifying requirements for such a reference model. Then we identify the main building blocks of the model. We present a technique to deal with load-dependent cycle times in single front-end and back-end facilities and in the overall network to reduce the modeling and computational burden. The quality of this reduction technique is assessed by comparing the full model and the model with a reduced level of detail. Finally, we discuss several potential application scenarios for a simulation reference model of a semiconductor supply network.

/pdf/towards-a-supply-chain-simulation-reference-model-for-the-3j1oaxnur7.pdf

Towards a supply chain simulation reference model for the semiconductor industry

In this paper, a supply chain simulation testbed for the semiconductor industry is proposed. We start by identifying requirements for such reference datasets, and then we identify the main building blocks. The nodes of the supply chain that represent semiconductor wafer fabrication facilities (wafer fabs) are built on a simulation model from the measurement and improvement of manufacturing capacity project. We present two techniques to reduce the modeling and computational burden that are able to deal with load-dependent cycle times in single front-end and back-end facilities and in the overall network. The first method models in detail only the bottlenecks in the nodes of the supply chain, while the second one uses empirical distributions for cycle time and throughput. The quality of these reduction techniques is assessed by comparing the detailed model and the models with a reduced level of detail. We present an application scenario for the testbed by simulating a semiconductor supply network. In addition, the usage of the testbed is discussed.

Hans Ehm

Papers

Modelling and analysis of semiconductor manufacturing in a shrinking world: challenges and successes

Managing complexity in supply chains: A discussion of current approaches on the example of the semiconductor industry

Modeling and analysis of semiconductor manufacturing in a shrinking world: challenges and successes

Towards a supply chain simulation reference model for the semiconductor industry

A Testbed for Simulating Semiconductor Supply Chains