Mathematical methods for analyzing and optimizing production lines and supply chains in semiconductor industry

2016 ◽  
Author(s):  
Gottfried Nieke ◽  
Dirk Doleschal ◽  
Gerald Weigert
Keyword(s):  
Supply Chains ◽  
Semiconductor Industry ◽  
Mathematical Methods ◽  
Production Lines

scholarly journals Risk-oriented simulation of the long logistics supply chains in developing enterprises

2021 ◽  
pp. 84-90
Author(s):  
Oleg Fedorovich ◽  
Yurii Pronchakov
Keyword(s):  
Supply Chains ◽  
Transport System ◽  
Production System ◽  
Queuing Theory ◽  
Raw Materials ◽  
Economic Losses ◽  
High Tech ◽  
Mathematical Methods ◽  
Event Modeling ◽  
Supply Logistics

The paper defines and solves the urgent problem of research of long logistics supply chains in developing enterprises. Due to the distribution of the production system as well as to the presence of a large number of remote suppliers of materials, raw materials and components supply plans are threatened. Supply disruptions in their turn may affect the plans of the main production resulting in possible fines, economic losses, and disruptions in supply of manufactured articles to the markets of high-tech and science-intensive products. To study threats and vulnerabilities in supply logistics the risk-oriented approach that considers potential threats using past statistics and expert assessments has been proposed. The objective of the paper is to develop a risk-oriented method to study the existing threats and assess their impact on the vulnerabilities of the logistics chains of the distributed production system. Due to the complexity of the problematic logistics task, the study is conducted in three different stages: development of the method to simulate the risks in long supply chains; identification of possible bottlenecks in the transport system of supply logistics; threat simulation and vulnerability analysis in supply logistics. To model the risks, an agent model is used, in which the accumulation of risks is carried out by passing orders in the transport system. To simulate bottlenecks, a simulation event model is used, in which large queues that occur in the transport system are analyzed. A stochastic simulation model is used to model threats and vulnerabilities. The new scientific results are risk-oriented method of long logistics supply chains simulation; simulation of supply logistics threats and vulnerabilities. Mathematical methods used: risk theory; simulation event modeling; agent modeling; queuing theory. The proposed approach as a set of developed simulation models should be used to plan the supply of developing production.

scholarly journals A multi-level method of support for management of product flow through supply chains

2015 ◽  
Vol 63 (4) ◽  
pp. 933-946 ◽  
Author(s):  
M. Magiera
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Production Systems ◽  
Production Plant ◽  
Production Lines ◽  
Product Flow ◽  
Delivery Times ◽  
Flow Through ◽  
Level Method ◽  
The Individual

Abstract The paper presents a three-level method used to support the management of product flow through supply chain links (e.g. production lines) and between these links: suppliers and recipients of products of various types.The supply chain includes both producers of components (suppliers) and recipients of these components, which are used for the production of complex goods. The method is dedicated to the development of schedules of product flows through particular production plants (links in supply chains) and between individual plants. Each module of the developed system refers to a separate production plant. The organization of product flow through production lines covers different types of production routes and different configurations of production systems. At the first level of the method, preliminary production schedules are developed for each plant within the supply chain. The second level of the method is dedicated to the development of delivery schedules of components and semi-finished products to these plants. The determined delivery times of components to the individual production plants constitute data for the third level of the method. At this lowest level, detailed schedules of product flow through production lines with the producers of complex goods are developed. Linear mathematical models have been built for each level of the method. In the developed method, optimization take place in the developed method in the scale of the entire supply chain (cost reduction), as well as in the scale of its links (production lines for which manufacturing schedules are built with various criteria taken into consideration). The computational experiments used for verification of the method have been included.

scholarly journals Вибір постачальників для виробництва високотехнологічної продукції з урахуванням довгих логістичних ланцюгів постачання вантажів

2021 ◽  
pp. 75-81
Author(s):  
Олег Євгенович Федорович ◽  
Юрій Леонідович Прончаков ◽  
Ксенія Олегівна Рибка ◽  
Юлія Олександрівна Лещенко
Keyword(s):  
Supply Chains ◽  
System Analysis ◽  
Raw Materials ◽  
Road Transport ◽  
Product Formation ◽  
Transport Network ◽  
High Tech ◽  
Mathematical Methods ◽  
Complex Product ◽  
Component Architecture

The scientific and applied problem of choosing suppliers of components, materials, and raw materials (CMRM) for the production of high-tech products (aircraft construction, shipbuilding, etc.) with a complex multi-level component architecture of the product is posed and solved. Much attention is paid to the study of long logistic supply chains for CMRM, considering the heterogeneous transport network (aviation transport, rail transport, road transport, etc.) with the transition of goods from one highway to another. The relevance of the topic of the publication is related to the study of the influence of the remoteness of suppliers and the heterogeneity of the transport network on the timing, costs, and risks of delivering CMRM to the production of high-tech products, considering the long supply chains that ensure the interaction between the supplier and the manufacturer. The research solves the problem of a rational choice of suppliers, considering the logistics of CMRM delivery in a heterogeneous transport environment. Due to the complexity of the problem being solved, it is complex and includes the following research stages: selection of suppliers, considering the component architecture of a complex product; formation of a logistics chain for the delivery of CMRM; a study of the effect of cargo transshipment in a heterogeneous transport environment. The solution of the second problem is associated with the choice of optimal logistics chains for the delivery of CMRM from the supplier to the manufacturers. The solution to the third problem is based on modeling the movement of goods, considering transshipment and possible risks. Mathematical methods used system analysis to represent the component architecture of a complex product; integer (boolean) programming to optimize the main logistic indicators; agent-based simulation modeling for the study of logistics chains for the delivery of goods with transshipment and possible risks (climatic, pandemic, terrorist, etc.).

scholarly journals The Chipmakers: U.S. Strengths and Priorities for the High-End Semiconductor Workforce

2020 ◽  
Author(s):  
Will Hunt ◽  
Remco Zwetsloot
Keyword(s):  
Supply Chains ◽  
Semiconductor Industry ◽  
Economic Power ◽  
Technical Leadership

Technical leadership in the semiconductor industry has been a cornerstone of U.S. military and economic power for decades, but continued competitiveness is not guaranteed. This issue brief exploring the composition of the workforce bolstering U.S. leadership in the semiconductor industry concludes that immigration restrictions are directly at odds with U.S. efforts to secure its supply chains.

scholarly journals Best Practice Sharing for Complexity Management in Supply Chains of the Semiconductor Industry

Procedia CIRP ◽  
2016 ◽  
Vol 41 ◽  
pp. 538-543 ◽  
Author(s):  
Can Sun ◽  
Thomas Rose ◽  
Hans Ehm ◽  
Tobias Herbig
Keyword(s):  
Supply Chains ◽  
Best Practice ◽  
Semiconductor Industry ◽  
Complexity Management

Applications of SIMS to electronic materials and devices

1992 ◽  
Vol 50 (2) ◽  
pp. 1682-1683
Author(s):  
S.F. Corcoran
Keyword(s):  
Depth Distribution ◽  
Secondary Ion Mass Spectrometry ◽  
Semiconductor Device ◽  
Electronic Materials ◽  
Profile Analysis ◽  
Semiconductor Industry ◽  
Small Diameter ◽  
Depth Resolution ◽  
Detection Sensitivity

Over the past decade secondary ion mass spectrometry (SIMS) has played an increasingly important role in the characterization of electronic materials and devices. The ability of SIMS to provide part per million detection sensitivity for most elements while maintaining excellent depth resolution has made this technique indispensable in the semiconductor industry. Today SIMS is used extensively in the characterization of dopant profiles, thin film analysis, and trace analysis in bulk materials. The SIMS technique also lends itself to 2-D and 3-D imaging via either the use of stigmatic ion optics or small diameter primary beams.By far the most common application of SIMS is the determination of the depth distribution of dopants (B, As, P) intentionally introduced into semiconductor materials via ion implantation or epitaxial growth. Such measurements are critical since the dopant concentration and depth distribution can seriously affect the performance of a semiconductor device. In a typical depth profile analysis, keV ion sputtering is used to remove successive layers the sample.

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