Lisa Anne Washington, Alexander H. Levis. / "August 1985." / Bibliography: leaf 30.

The research Analyses, PROFIBUS Communication using Process Automation and Decentralized Periphery against Conventional (4-20mA) was based on the process plant constructed in 2012 by staff and students in the Department of Instrumentation and control at Mangosuthu University of Technology. Further work was not done including configuring the entire process plant, testing all devices and display the image of the process plant on human machine interface. The process plant operation was never tested and the research topic has not been attempted before. The research was conducted to improve the existing plant to full operation or functional project. The research study was conducted in March 2013 by BZT Ntshangase, it was established that both DP flowmeter and PA flowmeter were not tested before, not calibrated correctly and both drives which are (MM440 and MM420) were not setup to control both pump1 and pump 2 in manual or auto mode. The Programmable Logic Controller (PLC) was not configured to communicate with all devices on the network. PROFIBUS-DP and PROFIBUS-PA devices were not set up; input measurements were not scaled to read within certain limits. All devices used in the process plant were not assigned unique addresses for the network and DSG files were not installed so that Programmable logic controller (PLC) would identify all devices on the PROFIBUS network. The research was based on analysis of PROFIBUS communication using process automation and decentralized periphery against conventional (4-20mA), where one flowmeter was communicating with a PLC via PROFIBUS-DP and the other flowmeter was communicating through PLC via ET-200M to a DP/PA coupler. Research objective was to examine the time response between the two signals, data transmission, network configurations and their communication protocols and including transmission rate for both networks. Process plant components used in the research were tested for linear scaling, reliability, generalizability and validity. The reason for performing these tests was to produce consistent results and to checks how similar results are if the research was repeated under similar circumstances. During testing, respectable results were achieved. All simulated results were compared with the real-time results and then a conclusion drawn based on the obtained information and facts. Project design, implementation, test procedures and test results were achieved because prototype performed as per design and research objectives were achieved. Simulation tests were conducted and the obtained results analysed. The achieved results showed that the proposed solution or the prototype system performed as per design. The experimental results could be useful to other researchers in the future. At the end of the study conclusion and some recommendations for further studies are discussed efficiently to utilize resources in the process plant verification and validation. / Electrical Engineering / M. Tech. (Electrical Engineering)

M.Com. (Informatics) / This study gives background information on technology like Artificial Intelligence (AI) and Expert Systems (ES). The application realm of this technology is the manufacturing environment. The strategies that are addressed are, Computer-Aided Design (CAD), Computer-Aided Manufacturing (CAM), Manufacturing Resource Planning (MRP II) and Computer integrated Manufacturing (CIM). We proposel further process or step namely: Inter Organlzational Information Sharing (1015). CIM integrates all internal information sources. lOIS creates standard and secure interfaces so that the organization and other organizations especially suppliers, manufacturers and distributors can share predefined information. The sharing of this information can help make forecasting more accurate and help the organization espond faster to the consumer's ever changing needs. Due to the fact that inventory plays such an important role in the manufacturing process, a software program was developed to aid the managers in small to medium sized organizations to reduce inventory.

Improvement work in manufacturing industry usually focuses on the utilisation of equipment. System dynamics simulation is a potential tool for increasing the utilisation of systems. By using group model building and simulation it facilitates a common view and better informed decisions for change. However, a gap between theory and practice of how to implement these projects is identified, consequently the major question for this thesis. The approach for solving this problem used industrial case studies with action research character; including modelling and interviews affecting the actors in the studied systems. Together with literature studies these efforts contribute with identifying how system dynamics projects can be performed for manufacturing systems development. It is shown that the support for how to implement system dynamics projects is unsatisfying and general. During the research progress a framework of guidelines has crystallised in order to bridge the presented gap of this thesis. Finally, the results are considered to make it easier to support manufacturing systems development using system dynamics.

While some reports on successes of advanced manufacturing technologies (AMT) have been glowing, many companies have tossed millions of dollars worth of fancy equipment into their factories and wound up with little to show for it. It is becoming clear that many of the AMT failures today can be attributed to an inadequate planning process. Proposes a four-stage research framework that addresses issues in: planning the manufacturing system; planning for an appropriate infrastructure; planning for new relationships with the external environment; and justifying investment in AMT. Assesses the strengths and weaknesses of selected contributions in each stage, and identifies gaps in knowledge where research is needed. The framework devised should help tomorrow's research build on the past and increase the research's acceptance by industry, since it draws on both research- and practitioner-based literature along with findings of the field study.

Investigates several facets of the implementation of just-in-time (JIT) using a two-tiered empirical approach that included a field study and a mailed survey. The 277 respondents to the survey included 130 manufacturing organizations, 61 service organizations and 86 public sector organizations in the USA. Five hypotheses were tested. The results indicate that while all the organization types had enacted procedural and operational modifications in support of their JIT implementations, there were some differences in the impact that these modifications had in reducing problems during the implementation and on the eventual outcome of the project. Suggests areas where benchmarking can be utilized by the various organization types to alleviate potential problems in the JIT implementation process and to improve their chances of success.

The manufacturing systems operating within today's global enterprises are invariably dynamic and complicated. Lean manufacturing works well where demand is relatively stable and predictable where product diversity is low. However, we need a much higher agility where customer demand is volatile with high product variety. Frequent changes of product designs need quicker response times in ramp-up to volume. To stay competitive in this 21st century global industrialization, companies must posses a new operation design strategy for responsive manufacturing systems that react to unpredictable market changes as well as to launch new products in a cost-effective and efficient way. The objective of this research is to develop an alternative method to model, analyze, and design responsive manufacturing systems using classical control theory. This new approach permits industrial engineers to study and better predict the transient behavior of responsive manufacturing systems in terms of production lead time, WIP overshoot, system responsiveness, and lean finished inventory. We provide a one-to-one correspondence to translate manufacturing terminologies from the System Dynamics (SD) models into the block diagram representation and transfer functions. We can analytically determine the transient characteristics of responsive manufacturing systems. This analytical formulation is not offered in discrete event simulation or system dynamics approach. We further introduce the Root Locus design technique that investigates the sensitivity of the closed-loop poles location as they relate to the manufacturing world on a complex s-plane. This subsequent complex plane analysis offers new management strategies to better predict and control the dynamic responses of responsive manufacturing systems in terms of inventory build-up (i.e., leanness) and lead time. We define classical control theory terms and interpret their meanings according to the closed-loop poles locations to assist production management in utilizing the Root Locus design tool. Again, by applying this completely graphic view approach, we give a new design approach that determine the responsive manufacturing parametric set of values without iterative trial-and-error simulation replications as found in discrete event simulation or system dynamics approach. / Ph. D.

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