IEEE/SEMI 1996 Advanced Semiconductor Manufacturing Conference and Workshop. Theme-Innovative Approaches to Growth in the Semiconductor Industry. ASMC 96 Proceedings最新文献
{"title":"Semiconductor business, process, product and fab influence on throughput, cycle time and chip cost","authors":"C. Kraft","doi":"10.1109/ASMC.1996.557984","DOIUrl":"https://doi.org/10.1109/ASMC.1996.557984","url":null,"abstract":"This paper discusses some of the manufacturing methods being developed at Texas Instruments Inc. to improve fab productivity. It also addresses the need for a common language across business to better understand the interdependency between business, create, and build functions and their influence on fab throughput, cycle time and chip cost.","PeriodicalId":325204,"journal":{"name":"IEEE/SEMI 1996 Advanced Semiconductor Manufacturing Conference and Workshop. Theme-Innovative Approaches to Growth in the Semiconductor Industry. ASMC 96 Proceedings","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124461846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The impact of data integration on yield enhancement","authors":"S. Smith, C. Gondran","doi":"10.1109/ASMC.1996.557983","DOIUrl":"https://doi.org/10.1109/ASMC.1996.557983","url":null,"abstract":"Yield enhancement engineering usually focuses on three areas of interest: investigation of low yielding lots (or lots with abnormal fail signatures), elimination of in-line defect process excursions and improvement of baseline product yield. These tasks require that engineers digest the data necessary to lead them to what needs to be done to find root cause for a given yield issue. The process of gathering and digesting the data necessary to arrive at the root cause of a yield problem can take a significant period of time (i.e., days or, in some cases, weeks.) There are many reasons why it takes so long to gather the necessary data needed for yield analysis, among them are: (1) data often needs to be extracted through many different software interfaces each of which may require a different language knowledge, (2) the data extract itself may require access to a particular machine and require a custom (i.e., new) database call to be written, (3) the multiplicity of database extracts require a significant portion of time to complete (i.e., a relational database is not always used), (4) once extracts are completed data must be formatted for analysis, (5) data overlay from several sources is often not available and manual methods must be employed. It is very clear to anyone who has faced the aforementioned data \"islands\" that integration of data sources into one database which is easily and quickly accessible through one user interface will significantly reduce time to root cause for many yield issues.","PeriodicalId":325204,"journal":{"name":"IEEE/SEMI 1996 Advanced Semiconductor Manufacturing Conference and Workshop. Theme-Innovative Approaches to Growth in the Semiconductor Industry. ASMC 96 Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130529816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Partnership for a rapid yield enhancement solution in a manufacturing environment on a 0.65 /spl mu/m triple level metal device","authors":"G. Kong, J. W. Peterson, M. Cherniawski","doi":"10.1109/ASMC.1996.558105","DOIUrl":"https://doi.org/10.1109/ASMC.1996.558105","url":null,"abstract":"A speed related problem degraded the yield of a 0.65 /spl mu/m triple level metal device. Reducing the channel length was the most simple and cost effective approach to improve device speed. However, an overly aggressive downsized channel length could also cause device leakage. To determine the optimal channel length with adequate speed performance and without leakage, a series of experiments were run to establish a yield model as a function of channel length and device threshold voltage (Vt). The Vt was varied by adjusting the channel implant dose. Instead of using masks with different sizings, the channel length was varied by adjusting photo exposure time and lightly doped drain (LDD) implant dose. This approach greatly reduced the cost of experiments and shortened the learning cycle. A strong correlation was established by Analysis of Variances (ANOVA) between yield and p-channel transistor length. The range of operational channel length was defined, where higher channel length caused poor speed performance and lower channel length caused device leakage. An interim process with increased photo exposure time was implemented immediately to ensure die shipment quantity and delivery schedule. In parallel, the optimal mask sizing was determined and this mask regenerated such that the original photo exposure when used with this mask would re-center the process. The interim process was then eliminated to streamline manufacturability. The optimized process resulted in significant yield improvement. Strong partnerships were established among device engineering, process engineering, and manufacturing groups to achieve yield enhancement in a timely manner without compromising manufacturability and customer deliveries.","PeriodicalId":325204,"journal":{"name":"IEEE/SEMI 1996 Advanced Semiconductor Manufacturing Conference and Workshop. Theme-Innovative Approaches to Growth in the Semiconductor Industry. ASMC 96 Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130966762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Meeting project commitments with teamwork","authors":"T. McCarron","doi":"10.1109/ASMC.1996.558111","DOIUrl":"https://doi.org/10.1109/ASMC.1996.558111","url":null,"abstract":"IBM, like many other companies, has adopted the Personal Business Commitment (PBC) process to focus on the critical responsibilities that employees must assume to ensure both their success and that of the company. The PBC process requires that individuals know and understand the overall objectives of their organization, department and team, and with input from their colleagues, customers, team leaders, etc, determine if personal business commitments are being met. This paper describes how applying this process across the Hot Process organization with cross-functional teams at IBM's Microelectronics Division semiconductor manufacturing facility in Essex Junction, Vermont, resulted in significant improvements by each major area in the fabricator. It also illustrates how the team approach created a strong participative workforce that performed as a unit to either meet or exceed new PBC commitments and improve morale.","PeriodicalId":325204,"journal":{"name":"IEEE/SEMI 1996 Advanced Semiconductor Manufacturing Conference and Workshop. Theme-Innovative Approaches to Growth in the Semiconductor Industry. ASMC 96 Proceedings","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130434140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Monitoring particulate contaminants in a metal etch system","authors":"K. Dang, T. Desanti, B. Yoo, Y. Khawaja","doi":"10.1109/ASMC.1996.558022","DOIUrl":"https://doi.org/10.1109/ASMC.1996.558022","url":null,"abstract":"Summary form only given, as follows. Four alternative methods of monitoring particulate contaminants on the LRC 4600 metal etch cluster tool are described The etch process involves the formation of polymeric byproducts that protect metal sidewalls from being undercut. These byproducts also adhere to the tool's chamber walls. Deposition of polymeric flakes on the wafer during the etch process blocks the etch and results in metal shorts. Therefore, regular monitoring and control of particles is a necessity. The monitoring schemes include the use of bare silicon wafers under a plasma-off environment and the use of photoresist coated wafers under plasma-on conditions. Regularly scheduled line monitors (LMs) that simulate the product flow are also processed through each metal etch tool to detect and prevent failures in the backend of the wafer fabrication process. In addition, an in-situ particle monitor (ISPM) is used to monitor particles exiting in the main etch chamber's exhaust line. In order to minimize test wafer usage and cycle-time an attempt was made to correlate the various monitoring schemes, the results of which are described.","PeriodicalId":325204,"journal":{"name":"IEEE/SEMI 1996 Advanced Semiconductor Manufacturing Conference and Workshop. Theme-Innovative Approaches to Growth in the Semiconductor Industry. ASMC 96 Proceedings","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131690808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Tiemessen, P. Wang, P. Oakey, L. Liu, S. Schauer, C. Bowen
{"title":"Fluorine induced formation of intermetal dielectric defects","authors":"M. Tiemessen, P. Wang, P. Oakey, L. Liu, S. Schauer, C. Bowen","doi":"10.1109/ASMC.1996.558025","DOIUrl":"https://doi.org/10.1109/ASMC.1996.558025","url":null,"abstract":"Defects were first observed on engineering test wafers during Contact Photolithography ADI (After Develop Inspection). The defects had the appearance of large white spots, which were several microns in diameter. SEM and TEM studies revealed that the defects were delaminations at the interface between the thermal oxide and the TEOS at the contact module of the wafer process. The results from defect partitioning showed the defects first appeared after high temperature BPSG anneal. It was also observed that only the first one or two wafers in a lot had defects. Chemical contamination analysis using SIMS identified high fluorine concentrations. The results showed that the fluorine concentration of the first wafer through the TEOS process was >30% higher than the rest of the wafers in the lot. Several experimental matrices were designed and conducted to quickly contain the problem, to investigate the defect mechanisms, and to eliminate the defects. It has been concluded that the fluorine outgassing from the P/sup +/ implanted area (BF/sub 2/ implant) during high temperature BPSG anneal is the major mechanism of the defect phenomena. TEOS chamber precoating has been shown to reduce the fluorine integrated concentration of the TEOS film and has eliminated the defects.","PeriodicalId":325204,"journal":{"name":"IEEE/SEMI 1996 Advanced Semiconductor Manufacturing Conference and Workshop. Theme-Innovative Approaches to Growth in the Semiconductor Industry. ASMC 96 Proceedings","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126779025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interactive engineering documentation","authors":"A. Ludford, D. Art","doi":"10.1109/ASMC.1996.557997","DOIUrl":"https://doi.org/10.1109/ASMC.1996.557997","url":null,"abstract":"With the rapid development of the Internet, Intranets and various Internet browsers, companies are now able to link to a multitude of information resources on-line at a much faster and more user friendly manner than ever before. The utilization of this technology is still in its infancy and the possibilities which it offers are numerous. In the realm of Facilities Management AMD is taking advantage of the vast opportunities offered by the flexibility, low cost, speed, and improved communications offered by the development of these tools. This document introduces individuals to the benefits of developing and maintaining an Intranet Engineering Documentation database within the Facilities organization of a company. Emphasis will be placed on six distinct areas: Facilities Systems, Equipment, Drawings, Databases, Costs, and Benefits. This paper outlines AMD's Facility Resource Database written and linked specifically for an existing network server (A Web Server is not mandatory). Material covered includes: conversion of engineering documentation from paper to computer copy and the utilization of Netscape as the navigator, viewer, and linking tool for the various Facilities data, drawings, equipment specifications, and existing databases. When individuals understand the ideas presented in this tutorial, they will have the tools needed to develop similar databases with minimal expenses.","PeriodicalId":325204,"journal":{"name":"IEEE/SEMI 1996 Advanced Semiconductor Manufacturing Conference and Workshop. Theme-Innovative Approaches to Growth in the Semiconductor Industry. ASMC 96 Proceedings","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115260099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Engineering data analysis using Discovery [semiconductor manufacture]","authors":"L. Fowler, T. Davis","doi":"10.1109/ASMC.1996.558100","DOIUrl":"https://doi.org/10.1109/ASMC.1996.558100","url":null,"abstract":"The ability to rapidly turn data into information is a necessity in the semiconductor industry. Furthermore, the ability to analyze and correlate yield results to electrical test results and in-process data is essential in the overall yield enhancement effort. The need exists to have a centralized database to store all aspects of engineering data, and analysis tools that will communicate with the database. KLA obtained the rights to Motorola's engineering database (Synergy) and analysis software (EDAS/sup TM/) and now markets it as Discovery/sup TM/. The Discovery system provides the capability of storing all probe results, in-process, equipment and SPC data, as well as bitmap and defect die level summary information. In addition, EDAS provides basic analytical software capabilities specifically for the semiconductor industry. MOS-13 and KLA partnered in the installation of Discovery into Motorola's newest fab, MOS-13. The goal was to implement an engineering database and analysis system to provide engineering with centralized access to needed data and analytical software that would assist them in their needs. Electrical test, and Probe bin, characterization, and bitmap die level summary data are currently being loaded into the Discovery database. The Discovery database, EDAS, and a newly created reporting tool have become an essential part of MOS-13.","PeriodicalId":325204,"journal":{"name":"IEEE/SEMI 1996 Advanced Semiconductor Manufacturing Conference and Workshop. Theme-Innovative Approaches to Growth in the Semiconductor Industry. ASMC 96 Proceedings","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133460081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Photocluster productivity improvement","authors":"Sharon Sisler","doi":"10.1109/ASMC.1996.557963","DOIUrl":"https://doi.org/10.1109/ASMC.1996.557963","url":null,"abstract":"This paper describes improvements being implemented in a multi-technology, multi-partnumber IBM semiconductor fabricator to increase photocluster output. The work of various teams is presented, which have generated a host of enhancements, including a customized logistics system, host computer control, continuous lot chaining, a work-in-process (WIP) and reticle tracking system, area alarms for tool stoppages, staffing based on activity analysis, operator coverage improvements guided by delays determined from host control data and alignment assist reductions guided by host control data. Photocluster productivity has increased 35% since these changes were begun and more improvement is anticipated.","PeriodicalId":325204,"journal":{"name":"IEEE/SEMI 1996 Advanced Semiconductor Manufacturing Conference and Workshop. Theme-Innovative Approaches to Growth in the Semiconductor Industry. ASMC 96 Proceedings","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115373156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrated yield management: a systematic approach to yield management","authors":"M. Effron","doi":"10.1109/ASMC.1996.558095","DOIUrl":"https://doi.org/10.1109/ASMC.1996.558095","url":null,"abstract":"IYM/sup TM/ is a systematic approach to yield management developed and refined multiple, highly successful, leading World Class FABs. The power of IYM lies in its ability to focus total enterprise resources for the single purpose of dramatically improving yields. There are six critical components of IYM discussed in this paper: (1) Preproduction Engineering practices to maximize and focus attention an design and probe yields prior to product qualification and production ramp; (2) Systematic, Long Loop analysis for 100% yield lass explanation modeled into partitioned yield owners based upon a targeted limited yields, learning plan; (3) Utilization of critical Short Loop control systems tied to specific inline limited yield targets chosen against Long Loop failure analysis; (4) Amplification and enlargement of the responsibilities of Operators and Maintenance personnel to function as Short Loop Engineers; (5) Application and use of interactive, user friendly, Computer Integrated Manufacturing (CIM) information creation system tied to the enterprise data collection points; (6) Establishment of a micro and macro Critical Area Yield Model to correlate, validate and predict from Short Loop controls their Long Loop results. Being central to the IYM flow, Critical Area.","PeriodicalId":325204,"journal":{"name":"IEEE/SEMI 1996 Advanced Semiconductor Manufacturing Conference and Workshop. Theme-Innovative Approaches to Growth in the Semiconductor Industry. ASMC 96 Proceedings","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128036354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}