A Model for a Series Processing System

Author(s):  
Wellington E. Smith

Many processing systems, such as manufacturing assembly lines, can be described as a series of discrete operations performed on discrete units being processed. To evaluate the effectiveness of operators in such systems or to determine the best way to improve their performance, it is necessary to have a performance measure that relates to total system effectiveness. Current techniques measure operator performance in terms of time and errors, but they provide little predictive ability as to the effects of these parameters. To relate time and yield measures to a single criterion of system performance, a method has been developed for evaluating operator effectiveness in a series processing system that processes discrete items in large quantities. By recognizing and dealing with the fact that rejects at the end of series process are more expensive than at the beginning of the process, statements are developed for measuring performance in terms of its actual effect on the system. Concepts and methods are presented for measuring total system performance, performance of any segment of the system, total performance of any operator, and the effects of time and accuracy on operator performance.

1986 ◽  
Vol 30 (9) ◽  
pp. 905-907
Author(s):  
Robert M. Elton

The MANPRINT (Manpower and Personnel Integration) Program is a comprehensive program designed to enhance human performance and reliability during weapon system development with the overall goal – of optimizing total system performance. Total system performance is a function of equipment performance and human performance as they are affected under varying environmental conditions which includes physical, social and operational conditions. The challenge the U.S. Army has today is to ensure these issues are addressed early in and continuously throughout the design process.


Author(s):  
George J. Saulnier ◽  
K. Patrick Lee ◽  
Donald A. Kalinich ◽  
S. David Sevougian ◽  
Jerry A. McNeish

The total-system performance assessment (TSPA) model for the final environmental impact statement (FEIS) for the potential high-level nuclear-waste repository at Yucca Mountain, Nevada was developed from a series of analyses and model studies of the Yucca Mountain site. The U.S. Department of Energy (DOE) has recommended the Yucca Mountain, Nevada site for the potential development of a geologic repository for the disposal of high-level radioactive waste and spent nuclear fuel. In May 2001, the DOE released the Yucca Mountain Science and Engineering Report (S&ER) for public review and comment. The S&ER summarizes more than 20 years of scientific and engineering studies supporting the site recommendation (SR). Following internal reviews of the S&ER and other documents, the DOE performed supplemental analyses of uncertainty in support of the SR as summarized in the Supplemental Science and Performance Analysis (SSPA) reports [2, 3]. The SSPA (1) provided insights into the impact of new scientific data and improved models and (2) evaluated a range of thermal operating modes and their effect on the predicted performance of a potential repository. The various updated component models for the SSPA resulted in a modified TSPA model, referred to as the supplemental TSPA model or SSPA TSPA model capturing the combined effects of the alternative model representations on system performance. The SSPA TSPA model was the basis for analyses for the FEIS for the Yucca Mountain site. However, after completion of the SSPA, the U.S. Environmental Protection Agency (EPA) released its final radiation-protection standards for the potential repository at Yucca Mountain (40 CFR Part 197). Compliance with the regulation required modification of several of the component models (e.g., the biosphere transport model and the saturated-zone transport model) in order to evaluate repository performance against the new standards. These changes were incorporated into the SSPA TSPA model. The resulting FEIS TSPA model, known as the “integrated TSPA model,” was used to perform the calculations presented in this report. The results of calculations using the FEIS TSPA model under a non-disruptive scenario, show that the potential disposal of commercial and DOE waste at a Yucca Mountain repository would not produce releases to the environment that would exceed the regulatory standards promulgated in the EPA Final Rule 10 CFR 197 and the NRC Final Rule 10 CFR 63 for both individual protection and groundwater protection. The analyses also show that both the high and low-temperature operating modes result in similar mean annual dose to the reasonably maximally exposed individual (RMEI). Further, the analyses show that consideration of intrusive and extrusive igneous events, human intrusion, or inclusion of the potential inventory of all radioactive material in the commercial and DOE inventory would not exceed those published standards.


Author(s):  
Jing Huang ◽  
Qing Chang ◽  
Jorge Arinez

Abstract The ability to process multiple product types is an important criterion for evaluating the flexibility of a manufacturing system. The system dynamics of a multi-product system is quite distinct from that of a single-product system. A modeling method for the multi-product system is proposed based on dynamic systems and flow conservation. Based on the model, this paper places its emphasis on the analysis of a two-machine-one-buffer system with two product variants. The system performance measure of a multi-product system is proposed based on production orders. The system performance of two-machine-one-buffer systems is discussed in full details. The conditions for the system achieving the best performance are derived. Finally, several numerical experiments are conducted to validate the propositions on two-machine-one-buffer system.


2013 ◽  
Vol 340 ◽  
pp. 606-610
Author(s):  
Jian Ming Xu

In order to investigate the system performance, its necessary to select an even background point target as the imaging object. The system realizes the real-time sampling, processing and displaying infrared image through joint debugging the SOPC processing system. SOPC is a flexible and effective SOC solution because of its flexibilities of system design, reduction, extension, upgrading, etc. And its hardware and software system are programmable. We present and develop a wireless video monitoring system based on SOPC in this paper, and the system benefits the production of infrared imaging sets of higher performance, lower power consumption and smaller size.


2015 ◽  
Vol 35 (1) ◽  
pp. 35-46 ◽  
Author(s):  
Antonio C. Caputo ◽  
Pacifico M. Pelagagge ◽  
Paolo Salini

Purpose – The purpose of this paper is to develop analytical planning models to compare just-in-time (JIT) delivery and line storage (LS) alternatives for a continuous supply of materials to assembly lines. Design/methodology/approach – A mathematical model is developed to size resources and to determine total system costs. Findings – The choice of assembly lines feeding policy requires a thorough economic comparison of alternatives. However, the existing models are often simplistic, neglecting many critical factors which affect the systems’ performances. As a consequence, industries are unsure about which system is best for their environment. This model allows to compare the cost and suitability of two major continuous-supply alternatives in any specific industrial setting. Results of the model application are case-specific and cannot be generalized. Research limitations/implications – The model is aimed at single-model assembly lines operating in a deterministic environment. Although relevant quantitative cost drivers are included, some context-related qualitative factors are not yet included. The model assumes that the information about product structure and part requirements is known and that a preliminary design of the assembly system has been carried out. Practical implications – Production managers are given a quantitative decision tool to properly assess the implementation of continuous material supply policies at an early decision stage, and determine which option is the best, also allowing to explore trade-offs between the alternatives. Originality/value – With respect to previous simplified literature models, this new approach allows to quantify a number of additional factors which are critical for the successful implementation of cost-effective continuous-supply systems, including error costs. No other direct comparison of LS and JIT is available in the literature.


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