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Current and Future Patterns of Using Advanced Manufacturing Technologies Hongyi Sun
Dept of Manufacturing Engineering & Engineering Management City University of Hong Kong 83 Tat Chee Avenue, Kowloon Hong Kong e-mail:
[email protected] Phone: (852) 2788 9587, Fax: (852) 2788 8423
Biographical information, Hongyi Sun Hongyi Sun holds a Bachelor degree in Computer Science from Harbin University of Science and Technology, a Master degree in Engineering Management from Harbin Institute of Technology (HIT), both in China, and a Ph.D. in Industrial Management from Aalborg University in Denmark. Dr.Sun was a lecturer at HIT in the 86-90 period. He was an Associate Professor at Stavanger College in Norway in the 94-98 period. Currently he is an Assistant Professor at the Department of Manufacturing Engineering & Engineering Management, City University of Hong Kong. His teaching and research areas include manufacturing/operations strategy, quality management, technology management and comparative study. Hongyi Sun has published articles in International Journal of Production Economics, International Journal of Human Factor in Manufacturing, International Journal of Technology Management, International Journal of Quality and Reliability Management, International Journal of Computer Integrated Manufacturing, Integrated manufacturing Systems, Total Quality Management, TQM magazine, International Journal of Management, Education + Training, and Journal of Engineering Education.
The reference of this paper should be:
Sun, Hongyi (2000) "Current and Future Patterns of using Advanced Manufacturing Technologies", Technovation, The International Journal of Technological Innovation and Entrepreneurship, Vol.20, No.11, pp.631-641.
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Current and Future Patterns of Using Advanced Manufacturing Technologies
ABSTRACT: This article records the findings from the survey about the pattern of current uses and future tendency of Advanced Manufacturing Technologies (AMT). The empirical data come from the project International Manufacturing Strategy Survey (IMSS) which covers eighteen countries. It was found that CAD, MRP, LAN, and CNC machines are the most popular AMTs used now. It seems that there is a sequence of adopting AMT, namely from simple to complicated. Green field and fully integrated CIM systems seem to be rare. In three years, the uses of CAPP and shared database will significantly increase, which indicate the increase in integration level of manufacturing system. However, the main configuration of manufacturing will be standalone, islands of automation, and limited integration. Fully computerised integration in manufacturing system will unlikely be the main model in the near future. Regarding the relationship between AMT uses and performance improvement seems to be complicated and a couple of different patterns are identified. Practical implications, limitations and future research are also discussed finally. Key words: AMT, patterns of uses, performance, and survey
1. Introduction Advanced Manufacturing Technologies (AMT) refers to computer aided technologies used in manufacturing companies. Noori (1990) defined AMTs as new technologies which are used directly by the firm in the production of a product. Youssef (1992) and Burgess and Gules (1998) distinguish hard-based and soft-based AMTs. Hardbased AMT refers mainly to physical technologies used in engineering, processing and administration. While softbased AMT covers Total Quality Management (TQM) and Just In Time (JIT). This research will look at those AMTs, in which computer systems and/or computer-controlled equipment are involved. For example, in a Flexible Manufacturing System (FMS), both hard equipment and a computer control system are involved. In a Material Requirement Planning (MRP) system, only a computer system is involved. Other soft AMTs like TQM and JIT, in which computer systems may not necessarily be used, are omitted in this research. The need to achieve cost efficiency, quality, and flexibility without trade-off is necessary, and has imposed a major challenge to the manufacturing industry in the nineties and beyond. The manufacturing issues under the challenges are as follows (Goetsch 1990, p.305; Ferdows and De Meyer 1986; Bessant 90 etc.): 1
Reduction of lead time to satisfy customer.
2
Getting new product to market more quickly
3
Flexibility to adapt to changes in market.
4
Improvement of product quality.
5
Reduction in cost.
6
Customer service.
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AMT has widely been regarded as a new and valuable weapon to rise to the challenge proposed by the new market situation to manufacturing industries (Hunt, 1987; Noori, 1990). In the past 20 years, AMT has been widely used by manufacturing companies all-over the world. However, world-wide research found that not all AMT perform as expected. Some AMT perform very bad and leads to a total failure. Some AMTs performs "satisfactory", but did not produce the full benefits. Other AMTs perform well on the shop floor level, while the business performances of the companies were not improved (Voss, 1988). All these problems have caught the attention of both researchers and practitioners. Since the beginning of the 1980s, management of technology, especially implementation of AMT has been a hot topic (Gerwin, 1982; Voss, 1988). Other researchers investigated in the relationship between the uses of AMT and performance improvement. The relationship was investigated conceptually (Macbeth, 1989, p.71; Bishop and Schofield, 1989, p.44), by case studies (Sohal, 1996; Sun, Hjulstad and Frick, 1997;) or by survey (Sun 1996, Small, 1998). However, there is a big gap in recent literature about the patterns of AMT uses and the future tendency of its uses. This research aims to investigate these based on the empirical data from eighteen countries. The pattern or sequence of AMT adoption, the future tendency of AMT uses, and their contributions will also be investigated. The research will contribute to identifying the configurations of current and future manufacturing systems. This article is structured as follows. After this introduction section, literature review and research framework will be introduced in the second section. Research method and empirical data will be described in the third section. The analysis results will be presented in the fourth section. Conclusions and implications will be discussed in the last section.
2. Advanced Manufacturing Technology and Computer Integrated Manufacturing AMT are the main technical components of Computer Integrated Manufacturing (CIM) systems. Although a CIM system contains many AMT such as Computer Aided Manufacturing (CAM), Computer Aided Design (CAD) and Computer Aided Process Planning (CAPP), it is more than a group of advanced and automated technologies. CIM is the term used to describe the modern approach of manufacturing (Haywood, 1990). The main feature of CIM is the total integration of all manufacturing functions, including design, engineering, planning, control, fabrication, and assembly etc. through the use of computers. So CIM is a comprehensive measure of computerised integration and information sharing in a manufacturing system. According to the CIM wheel model by Society of Manufacturing Engineer (SME), there are one business and four technical components of a CIM system (Goetsch 1990). The four technical components are planning and controlling, information resources management, product and process definition, and factory automation. The four components and relevant AMTs involved are described below (Groover, 1987; Goetsch, 1990; Singh, 1996; Kotha and Swamidass, 1998). The planing and controlling component includes such element as planning/scheduling and controlling of facilities, materials, tools and shop floor activities. Hardware and software are available to automate each of the elements. MRP, as well as Manufacturing Resources Requirement (MRP II), is an important concept with a direct relationship to CIM. MRP involves using the bill of materials, production schedule, and inventory record to produce a comprehensive, detailed schedule of the raw materials and components needed for a job (Chase and Aquilano, 1997). As other manufacturing technologies have evolved from automation to integration, MRP has also developed. The new version of MRP, known as MRP II, goes beyond determining materials requirement to also encompassing
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financial tracking and accounting. MRP II is particularly well suited to the integrated approach represented by CIM. Information recourses management is the nucleus of CIM. Information, updated continually and shared instantaneously, is what CIM is all about. One of the major goals of this nucleus is to overcome the barriers that prevent the complete sharing of information among all other CIM components. The AMTs used for this purpose include Shared Databases (Shared DB), Wide Area Network (WAN), and Local Area Network (LAN). Each of these represents different levels of information integration and sharing. In addition to these standalone and islands of automation technologies, the term CIM is also a comprehensive measure of computerized information sharing. The product and process definition component of the CIM wheel contains three elements: design, analysis and simulation, and documentation. This is the component where products and process are designed, engineered, tested through simulation, and documented through drawing specifications and other tools. Standalone technologies include Computer Aided Design (CAD) which can be used to automate the drawing and analysis process and Computer aided Engineering (CAE) which can automate the simulation and analysis process. The islands of automation in this component is Computer Aided Process Planning (CAPP) which aims to link design, engineering and manufacturing processes by converting design parameters into processing codes. The factory automation component contains those elements that are associated with fabricating and assembling products, for example, material handling, assembling, inspecting and testing, and materials processing (i.e., fabricating). The AMT technologies suited to these elements include Numerical Control/Computer/Direct (NC/CNC/DNC),
Computer-aided
Manufacturing/FMC/FAS
inspection/testing/tracking
(CAI/T/T),
Computer-Aided
(FMS/FAS), Automated parts loading/unloading (APL/U), Automated tool changes
(ATC), Robotics (Robot), Automated Storage/Retrieval Systems (AS/AR), and Automated Guided Vehicles (AGV). AMTs are also classified according to the degree of automation and integration. Bessant and Haywood (1988) suggested four levels of integration. They are standalone, islands of automation, archipelago of automation (i.e., partial integrated) and the full integrated systems. Standalone AMT refers to single machines or equipment that are not directly connected with other machines or systems by computers. NC machine is a typical example of standalone AMT in fabrication and a single CAD is a standalone AMT in design process. An island of automation refers to a special group of automated machines that work together but have no direct communication with other machines and systems outside their group. FMS is a typical island of automation is manufacturing. Island of automation exists also in design, engineering and process planning processes. Integration refers to the connection of at least two different functions by computer. For example A CAPP can link design and engineering processes by converting design parameters into manufacturing plan and codes. MRP II system can link design, manufacturing and finance functions to dynamically update the changes of raw materials or components. Integration varies from partially integrated to full integrated. Combining the four CIM components (Goetsch 1990) and levels of integration (Bessant and Haywood 1988), the sixteen AMTs are illustrated in table 1.
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(Insert table 1 about here) This research will look at the current and future sues of AMT, the degree of AMT payoff as well as their relation with the company's performance improvement. The research intentions are reflected in the following research questions. Question-1: To what extent have AMTs been used? Question -2: Are there any sequences or patterns of using AMTs? Question -3: To what extent will these AMT be used within the next three years? Question -4: What will be the main configuration of manufacturing systems in the near future? Question -5: How are the payoffs of AMT? Question -6: Are there any relationship between AMT uses and performance improvement?
3. Research Method and Empirical Data 3.1 The survey The research reported in this paper is based on the data from the International Manufacturing Strategy Survey IMSS. IMSS was initiated by London Business School and Chalmers University of Technology and is being coordinated by Instituto de Empresa in Spain. A worldwide researcher network in more than 20 countries carried out the survey. The questionnaire was first designed by Swedish team in 1980s and modified for the first international survey in 1992-1993 period. It was modified again for the second round of survey based on the experiences from 20 countries in the first round of survey. The questionnaire was discussed in a workshop participated by IMSS researchers. For details of the IMSS project, please refer to the book by Lindberg, Voss, and Blackmon (1998). The questionnaires were sent to companies in individual countries, separately, in the period from 1997 to 1998. The methods of data collection vary from country to country. In some countries, post survey was used, while in others, on-site interview was employed. All the data were sent to the co-ordinator in Spain and then distributed to all participants. As a participant of the IMSS project in Denmark, Norway, China and Hong Kong, the author has the right to use the data for the purpose of teaching and research. Data from 18 countries were available when this research was conducted. The participating countries and the sample size (in parentheses) are as follows: Argentina (31), Brazil (27), China (30), Denmark (27), Finland (14), Hungary (38), Italy (71), Japan (29), México (29), Netherlands (29), New Zealand (32), Norway (13), Perú (8), South Korea (50), Spain (33), Sweden (27), the UK (24), and the US (41). Altogether the sample size is 556. The sizes of the 556 sampled companies vary. Since the standard for small, medium and large size companies vary from country to country and this project includes 18 countries, the sampled companies were divided into five classes
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according to their size: <100 (14%), 101-500 (40%), 505-1500 (26%), 1001-3500 (11%), and >3000 (6%) employees. Missing data occupies about 3%. The companies joined the survey are in the International Standard Industry Classification (ISIC) 38 group. Example products in ISIC 38 industry include metal products, machinery, electrical machinery apparatus, appliances and suppliers, transport equipment, professional and scientific measuring and controlling equipment, and photographic and optical goods. Companies in ISIC 38 industries adopted more AMT than others (Waterson et al, 1997).
3.2 AMT uses and payoffs The above mentioned questionnaire covers 300 variables about strategy, practice and performance. The research reported here focuses on the uses, payoffs and contributions of AMT. The AMTs measured in this survey are listed in table 2. The degree of use, the relative payoff, and the adoption of the AMT within next three years are measured. The measures are all at 1-5 scale, which ranges from 1: None, 2: Little, 3: Some, 4: Much to 5: Very High. (Inset table 2 about here) 3.3 Performance Performance improvement is measured by the percentage of changes in the past three years. It covers twenty four items as shown in table 3. Factor analysis was conducted with a view of reducing data and identifying factors of performance. The result is that the twenty-four items converged into one performance factor (PF). Data analysis will use this performance factor in stead of individual items. (Insert table 3 about here)
4. Results and discussions The results from this research will be presented in the following parts, corresponding to the current uses of AMT, the expected uses of AMT in three years, and the relationship between AMT uses and performance.
4.1 The current uses of AMT 4.1.1 Individual AMT Based on the means of current uses, the sixteen AMTs are ranked as shown in the column of "AMT uses in 1998" in table 4. According to the rank by means, the top five AMTs are CAD, MRP, LAN, CNC, and shared Database. These AMTs are more commonly used than others. For example, 80% of sampled companies used CAD from some to a lot. The six AMTs at the bottom are AGV, AS/AR, CIM, robots, and automated tool change. These AMTs are rarely used by the sampled companies. For example, 18% companies used AGV from some to a lot while 76% did not used have AGV at all. 4.1.2 Automation and Integration level With regard to integration levels, standalone technologies are more commonly used. Among the top five commonly used AMTs, four are recognised as standalone. They are CAD, CNC, MRP, and LAN. The second popular technologies are those in the stage of islands of automation, such as FMS. Partially and fully integrated
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technologies such as CAPP, WAN and automated material handling and transportation technologies such as AGV etc. are least used. This indicates a sequence of adopting AMT, i.e., from simple, standalone, islands of automation to integration. This is useful for those companies, which did not have any AMT at all and start to think about where to start. Companies can start with CAD in engineering, CNC in manufacturing, and MRP in administration. According to this pattern, it can be found that the most commonly used technologies are relatively simple and standalone technologies, while the less commonly used AMTs are complicated and advanced. This also indicates that fully integrated and automated factories are still not a reality. Taking the measure of "CIM" as an example, only 5 of the sampled companies claimed they use CIM at a full scale while nearly half of the companies did not implement any CIM at all. 4.1.3 CIM components The commonly used AMTs (i.e., the top five) are found in all the four CIM components as shown in table 5. However, based on the average degrees of uses in the four areas, the ranks are: planning and control, design and engineering, information resources management, and factory automation. The lower average score of AMTs used in factory automation is mainly due to the low uses of automated material handling and transportation technologies. The more uses of AMT in design and information management indicates that companies pay more attention to product varieties and the speed of product development, which may reflect the tendency of shorter product life cycle and technology development in the international market. In each of the CIM component, there seems also to be an adopting sequence from simple, standalone, islands of automation, to integrated systems. (Insert table 5 about here) 4.2 Expected use in three years 4.2.1 Individual AMTS Compared with AMT uses in1998 expected AMT uses in three year will all increase as illustrated in figure 1. The differences between 2001 and 1998 are all significant at a level of 0.001 as shown in table 4. This is promising for companies both producing and using AMTs. The top 6 AMTs will be adopted by companies within the next three years are CAD, LAN, shared Database, MRP, and MRP II, as shown in table 4. The top fives according to their ranks are the same as they are in 1998. However, within the top five, LAN and shared Database increased much more than others. They become number two and number three. Both for the moment and within the next three years, CAD is ranked very high, which indicates that product design and development are emphasised. This is explainable considering the demanding on shorter time of product development by the market nowadays. Those AMTS for handling and transporting materials will still be at the bottom in three years. (Insert figure 1 about here) 4.2.2 Level of integration Although all increase, the degrees of increase in AMT uses vary. Considering the current uses and changes in three years, AMTs can be divided into three groups, namely I, II, and III as shown in figure 2. Group I includes those advanced material handling technologies such as robots, AS/AR, Auto PL/U, Auto TC, AGV. These technologies ranked very low in 1998 and the changes are also rather lower relatively. These
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technologies are the main components of highly integrated manufacturing system, especially in material handling and transpiration integration. This implies that, in the near future, the materials handling and transporting will still be far from fully computerised integration. Group II includes those widely used AMT such as MRP, CAD and NC machining tools and LAN. These are typical standalone AMTs. Their uses in 1998 are quite high. However, their increase in three years will relatively be low. Group III includes those technologies in the stage of islands of automation such as FMS and CAE etc. These technologies are used in the medium degree. However, the increase of their uses in three years will be on the top among the three groups, especially CAPP and shared database. It is expected that the integration level will be increased in three years. This can be demonstrated by the increase in uses of AMT that connecting more than one function such as shared database and CAPP. In a summary island of automation and partially integrated manufacturing systems will be main configuration in the near future. (Insert figure 2 about here) 4.2.3 The components of CIM systems Comparing 1998 and 2001, uses of AMTs in all the four CIM components will increase as illustrated in figure 3. For all the four CIM components, the differences between 2001 and 1998 by t-test values are 15, 10, 17 and 17, all significant at the level of 0.001 as shown in figure 3 and table 6. The differences in information management and design and engineering are bigger than in other two. Since information sharing is the main feature of CIM system, the increase in information management may indicate that in the future, not only individual AMT uses increase, the level of integration will increase as well. Increase in uses of design and engineering reflects the companies will continue to emphasise product development. (Insert table 6 about here) In 1998, AMT uses in the four CIM components are significantly different. The paired sample t-tests (significant levels) between the four CIM components are 3.3 (0.001), 7.3 (0.001) and 7.5 (0.001). However, in 2001 the differences will be smaller. The paired sample t-tests (significant levels) are 0.16 (0.87), 1.7 (0.09) and 9.4 (0.001). The numbers of t-tests and significant levels are shown in figure 3. Except for in factory automation, the degree of AMT uses in other three components are similar. This means that AMT uses in these three components are more evenly used in the three CIM components. However, the AMT uses in factory automation will still be lower. The above evidences indicate that in the near future, although companies will move further towards CIM, full integration in factory automation will still be lagging behind. (Insert figure 3 about here) 4.3 AMT and performance In this section the relationship between the use of AMT in 1998 and the payoffs and performance improvement will be investigated. Payoffs of AMT are measured by two means. The first is to ask the mangers to subjectively evaluate the payoff of AMT at a 1-5 scale (cf., section 3.2). The second is to investigate the empirical relationship between the degree of uses of AMT and the improvement of business performance such as cost reduction, quality
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improvement etc. (cf., section 3.3). The relationship will be discussed for individual AMTs, the four CIM components and the level of integration.
4.3.1 Individual AMTs The ranks of AMTs in terms of payoff are shown in table 7. The five AMTs which are on the top in terms of payoff are CAD, LAN, MRP, CNC and shared database. The five AMTs at the bottom are CIM Computer-Integrated Manufacturing, Robotics, Automated tool changes, AS/RS Automated Storage/Retrieval Systems, and AGV’s Automated Guided Vehicles. The degree of payoffs is correlated with the degree of uses. The correlation coefficients vary from 0.80 to 0.98 and the significant levels are all less than 0.001. It can be concluded that managers believe that the more AMTs are used, the higher will payoffs tend to be. From this finding, it can be proposed that, in order to get more benefits from AMT, companies should invest AMT to great extents. The finding proposes a simple linear relationship between the uses of AMT and the payoffs. However, based on the correlation and ANOVA test of the relationship between the uses of AMT and the improvement of business performance, several different patterns of relationships are identified, which are discussed below. 4.3.1.1 The ladle-shape relationship The relationship between the uses of FMS/C, CIM, MRP and performance improvement is like a ladle shape curve as shown in figure 4. From none to some degree of AMT uses, performance improvement does not increase and even drops. There seems to be a lead-time between implementation and benefit show up. This indicates a learning curve effect in the process of implementing this type of AMT technologies. Companies should not be frustrated at the slower showing of benefits from these technologies. (Insert figure 4 about here) 4.3.1.2 The bell-shape relationship The relationship between the uses of CAD, CAPP, CAE and performance improvement is like a bell shape curve as shown in figure 5. From none to some degree of AMT uses, performance improvement increases. However, from some to very much degree of AMT uses, performance improvement decreases, which seems to be strange. The explanation may be that, when technologies are implemented to a great extent while organization and human sides are not innovated accordingly, the success rate of AMT tends to be lower. This has been demonstrated by many researchers (Voss 1988; Bessant, 1990, Sun, 1994). This is also true for design technologies (Twigg and Voss 1992). This group of technologies is all used in design and engineering. So it is suggested that when AMT in design are implemented to high extents, organization and human development should also be considered. In other words, AMT uses should be in a balance with the development of human side (Meyers and Goes, 1988; Sun, 1994) (Insert figure 5 about here) 4.3.1.3 The irregular relationship. The relationship between performance improvement and the uses of Shared database and Computer Aided Inspection and Testing are up and down, showing an irregular pattern. It is very misleading if the relationship is
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significant according to simple linear correlation analysis. For example, simple linear correlation reveals a significant correlation between the degree of uses of shared database and the improvement in performance. According to the logic of conventional management research the conclusion can be draw as " the more this technology is used, the higher will the improvement in performance". However, if looking at the scatter plot as shown in figure 6, it will be found that the curve is irregular. (Insert figure 6 about here) 4.3.1.4 No relationship at all For some AMTs, there is not any relationship at all, neither by correlation nor by ANOVA test. Half of the AMTs belong to this group. However, it should be mentioned that no negative relationship was found, neither. So it does not mean that these AMT are not contributing. They may contribute in some companies, but not in others. The relationship may be rather complicated. Future research may have to look at the methodology on relationship between AMT and performance improvement 4.3.2
CIM components and performance improvement
Individual AMT, whose relationship with performance improvement show certain patterns, are found in all the four CIM complements, for example, CAD in design and engineering, MRP in planning and control, shared database in information management and CAI/T/T in manufacturing. Looking at the average AMT uses of the four CIM components, planning and controlling AMTs have a significant correlation with the improvement of performance, as shown in table 6. The average uses of AMTs in design and information management are also correlated with performance improvement. However, there is no significant correlation between performance improvement and AMTs uses in fabrication and assembly. Maybe this is due to the low uses and low payoffs of those automated material handling AMTs. Since the integration level in material handling and transportation is still low, contribution is more individually rather than collectively. With the increase in integration level, the contribution of CIM components may be more obvious. The result, on the one hand, verified the CIM wheel model by SME and, on the other, provides another way of investigating AMT uses and performance improvement. 4.3.2 Level of integration and performance improvement It was found that relationship between performance improvement and most of the standalone and islands of automation show certain patterns (linear, ladle or bell). However, there is not any obvious general pattern about the relationship between performance improvement and those advanced and integrated material handling and transportation AMTs such as AGV, AS/AR, Robots etc. In summary, the relationship between AMT uses and contribution are much more complication than expected. The implication for methodology is that simple linear correlation bears great danger in drawing conclusion about the relationship of any two variables. Simple correlation may lead to simplistic conclusion such as "the more is an AMT used, the higher will be the improvement of performance". However, in most cases of AMT, such pattern of relationship does not exist. Conclusions from simple linear correlation may be misleading. For example, simple relationship reveals a significant positive correlation between the use of MRP and performance improvement, which implies that the more MRP is implemented, the higher the improvement of performance. However, the real relationship is like a ladle shape, which implies that at the beginning stage of implementing MRP, the performance may not be improved much.
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5. Conclusions and Implications 5.1 Conclusions and Contributions This research revealed that CAD, MRP, LAN, and CNC machines are the most popular AMT. It seems that there is a sequence of adopting AMT, namely from simple to complicated. Fully integrated and green field CIM seems to be rare. In three years, the uses of CAPP and shared database will significantly increase, which indicate the increase in integration level of manufacturing system. However, the main configuration of manufacturing will be standalone, islands of automation, and limited integration. Fully computerised integration in manufacturing system will unlikely be the main model in the near future. Regarding the relationship between AMT uses and performance improvement seems to be complicated than expected and reported in references. Simple linear correlation and ANOVA are the conventional method for investigating the relationship between two variables. In this research, both methods and scatter graph were used. A couple of difference patterns of relationship between AMT uses and performance improvement were identified and methodological issues and practical implications are useful. The contribution of this research include: 1) reveal the extent and patterns of AMT uses, 2) reveal the tendency of AMT uses in the next three years, and 3) reveal the relationship between AMT uses and performance.
5.2 Practical Implications The results on the pattern and tendency of AMT uses and contribution will be of reference to companies either using or producing AMTs. The benchmark table (for example, table 4, 5 and 6 can help a company locate its position in AMT uses. It seems that there is sequence from simple, standalone, islands of automation to integrated AMTs. This may be a guide for companies that have not implemented AMT yet. Companies normally started with CAD in design and engineering, MRP in planning and control, LAN in information sharing and management, and NC in factory automation. AMT will be mainly in in the stages of standalone and island of automation. Fully integrated manufacturing systems are not likely in place in the near future. The adoption process is a step by step and evolutionary. Neither vendors nor governmental organisations should promote fully integrated and green-field manufacturing systems as in the 1980s. Regarding the relationship between AMT uses and contribution, managers' subjective evaluation seems to support a linear relationship between AMT uses and performance improvement. However, statistic analysis reveals several difference patterns of relationship between AMT uses and performance improvement. First, managers should be noticed that the relationship could be much complicated than expected. Second, for some AMT technologies, there is a learning curve effects. It really takes time before the benefits show up. Finally, AMT uses should be accompanies by organisational and human development.
5.4 Limitations and future research
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Among the sampled companies, the percentage of small companies is rather small (cf., section 3). This implies that the results of this research should be limited mainly to large companies. Future research can be conducted either with only small companies or to compare the small and large companies. Since the data sample of each country are not large enough to represent each country, this research only focused on identifying the overall pattern and tendency of AMT uses and contribution. In future research, the differences in each country should be investigated so that the relationship between national context and AMT uses can be identified and companies in different countries can learn from each other. This information will also be of reference for those companies that would like to establish companies or joint ventures in other countries/regions. This research has revealed that the relationship between AMT uses and performance improvement is rather complicated. This suggests that future research should not only reply on simple linear correlation to investigate the relationship between AMT uses and contributions. This research also revealed that the managers' subjective evaluation of AMT payoffs were different from that revealed by statistical analysis. Future research should provide a list of AMT payoffs and ask managers to select. Technology develops constantly. That implies that future research on the same topic will be use to identify the patterns and tendency of AMY uses and contributions. The IMSS project, on which this research is based, will repeat in the year of 2000. Results from the new data will be reported later. In a final summary, although fully integrated manufacturing systems will not in reality in the near future, the uses of all types of individual AMTs will increase. Research in both technical areas and management areas should be enhanced to meet the development of AMT uses.
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Table 1 AMTs in the four components of a CIM system CIM components and their AMTS Level of integration
From standalone to integrated
Design and Engineering
Plan and control
Information management
Fabrication and assembly
CAD
MRP
LAN
NC/CNC
CAE
MRPII
WAN
CAI/T/T
Shared DB
FMS/FAS
CIM
APL/U
CAPP
ATC Robot AS/RS AGV
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Table 2. The measurement of 18 AMTs AMT
Current use
Payoff
Future use
1
CAD Computer-Aided Design
12345
12345
12345
2 3
MRP Material Requirements Planning LAN Local Area Network
12345 12345
12345 12345
12345 12345
4 5
NC/CNC/DNC Numerical Control/Computer/Direct MRPII Manufacturing Requirements Planning
12345 12345
12345 12345
12345 12345
6 7
Shared DB Databases CAE Computer-Aided Engineering
12345 12345
12345 12345
12345 12345
8 9
CAI/T/T Computer-aided inspection/testing/tracking CAM Computer-Aided Manufacturing/FMC/FAS
12345 12345
12345 12345
12345 12345
10 11
WAN Wide Area Network APL/U Automated parts loading/unloading
12345 12345
12345 12345
12345 12345
12 13
CAPP Computer-Aided Process Planning ATC Automated tool changes
12345 12345
12345 12345
12345 12345
14 15
Robotics CIM Computer-Integrated Manufacturing
12345 12345
12345 12345
12345 12345
16 17
AS/RS Automated Storage/Retrieval Systems AGV’s Automated Guided Vehicles
12345 12345
12345 12345
12345 12345
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Table 3 Performance items and factor analysis Performance items Market share
Factor I 0.92
Communalities 0.84
Customer service Customer satisfaction
0.97 0.97
0.94 0.95
Conformance to specification (manufacturing quality) Product variety
0.96 0.96
0.93 0.92
Speed of product development Number of new products developed
0.93 0.92
0.86 0.84
Profitability Return on Investment
0.90 0.95
0.81 0.90
Average unit manufacturing cost Materials and overhead total costs
0.97 0.97
0.93 0.93
Manufacturing lead time Equipment changeover time
0.95 0.98
0.91 0.96
Procurement lead time Delivery lead time
0.97 0.97
0.95 0.94
Inventory turnover (sales / inventory) On-time deliveries
0.89 0.96
0.80 0.93
Supplier quality Employee satisfaction
0.97 0.98
0.95 0.95
Worker/direct labor productivity Work place safety
0.98 0.96
0.95 0.91
Energy consumption Product recyclability
0.98 0.97
0.96 0.95
Waste/by-product recyclability Eigenvalues
0.96 21.94
0.93
% of Variance Cumulative %
91.40 91.40
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Table 5 AMTs used in the four CIM components Rank 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Average
Design and Engineering CAD
Plan and control
Information management
Fabrication and assembly
MRP LAN NC MRPII Shared DB CAE CAI/T/T FMC/FMS WAN Auto PL/U CAPP Auto TC Robotics CIM
2.77
2.99
2.49
AS/RS AGV 2.15
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Table 6 Expected uses of AMT in the four CIM components in 2001 Rank 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Average in 2001 Average in 1998 2001-1998 t-test(2001-1998) Correlation with performance improvement
Design and Engineering CAD
Plan and control
Information management
Fabrication and assembly
LAN Shared DB MRP MRPII NC CAE CAI/T/T FMC/FMS CAPP WAN Auto PL/U CIM
3.36 2.77
3.35 2.99
3.35 2.49
Robotics Auto TC AS/RS AGV 2.63 2.15
0.59
0.36
0.86
0.48
15*
10*
17*
17*
0.26
0.31
0.26
0.14
(0.05)
(0.01)
(0.05)
(0.31)
Note: *:at the significant level of 0.001
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Table 7 The degree of payoffs of AMT AMT
Statistics
Percentage of responses
Rank
Mean
CAD
1
3.66
8
8
24
31
LAN
2
3.35
14
11
22
MRP
3
3.33
14
12
NC/CNC/DNC
4
3.28
14
Shared DB
5
3.07
MRPII
6
CAE
Correlation
None Little Some Much High
ANOVA
Use
PF#
t-test (p)
29
0.83
0.20
4.5(0.003)
29
23
0.88
0.09
25
26
23
0.84
0.29** 2.8(0.04)
12
25
28
20
0.85
0.09
18
15
24
27
16
0.83
0.29** 2.4(0.06)
3.02
22
13
25
24
16
0.87
0.22
7
2.97
22
16
22
26
15
0.86
0.33** 3.4(0.02)
CAI/T/T
8
2.95
20
16
28
23
14
0.85
0.21*
2.6(0.05)
FMC/FAS
9
2.89
25
11
26
26
12
0.86
0.21
3.3(0.02)
Auto PL/U
10
2.58
33
16
23
18
10
0.88
0.00
WAN
11
2.57
35
16
20
18
12
0.89
0.19
Auto TC
12
2.49
35
18
18
19
9
0.87
0.04
CAPP
13
2.49
30
22
24
18
6
0.80
0.11
Robotics
14
2.48
37
14
21
19
9
0.89
0.02
CIM
15
2.43
37
16
24
14
9
0.87
0.24*
AS/RS
16
2.14
50
15
14
14
7
0.89
0.06
AGV
17
1.85
66
7
10
10
7
0.89
0.17
Note: *: p<0.1, **: p<0.05, #PF: performance factor
2.9(0.03)
2.2(0.78)