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    Stephan Biller

    ABSTRACT This paper discusses a novel model, based on Activity-Based Costing, developed to analyze and predict energy usage in the manufacturing industry. In this approach, we have modified a cost management tool called Activity-Based... more
    ABSTRACT This paper discusses a novel model, based on Activity-Based Costing, developed to analyze and predict energy usage in the manufacturing industry. In this approach, we have modified a cost management tool called Activity-Based Costing (ABC) to include environmental aspects along with costs metrics. A case study was performed on a General Motors (GM) manufacturing facility to evaluate Demand and Response offers from a local utility company to demonstrate the utility of this approach. This study resulted in an ABC predictive energy model which can be used with emerging Smart Grid opportunities to provide a competitive advantage to the manufacturing industry.
    ABSTRACT This paper considers a modular product assembly and inventory planning and control problem in a remanufacturing environment. The return process of end-of-life product is a stochastic process in terms of arriving time, quality and... more
    ABSTRACT This paper considers a modular product assembly and inventory planning and control problem in a remanufacturing environment. The return process of end-of-life product is a stochastic process in terms of arriving time, quality and quantity. We investigate the returned module reassembly policies in an assemble-to-order strategy. A threshold policy is considered to control the admission of the product returns and its effect on the trade-off between excessive inventory and stock out. We study how the control parameters in these strategies relate to the average inventory level and stock out level of the remanufacturable modules. Starting with a single quality grade problem, we extend the analysis to a multiple quality grade problem and derive exact expression of the system performance measures as function of the control parameters. Main objective of this paper is to provide managerial insights into decision-making for stochastic remanufacturing systems.
    Improving quality in large volume battery manufacturing systems for hybrid and electric vehicles is of significant importance. In this paper, we present a flow model to analyze and improve product quality in electrical vehicle battery... more
    Improving quality in large volume battery manufacturing systems for hybrid and electric vehicles is of significant importance. In this paper, we present a flow model to analyze and improve product quality in electrical vehicle battery assembly lines with 100% inspections and repairs for defective parts. Specifically, a battery assembly line consisting of multiple inspection stations is considered. After each inspection, defective parts will be repaired and sent back to the line. A quality flow model is introduced to analyze quality propagations along the battery production line. Analytical expressions of final product quality are derived and structural properties, such as monotonicity and sensitivities, are investigated. A bottleneck identification and mitigation method is introduced to improve quality performance. Finally, a case study is presented to illustrate the applicability of the method.
    ABSTRACT A data driven simulation method for real-time decision making on assembly system is necessary in smart assembly. By analyzing an example automotive assembly line, the useful plant floor information for simulation are drawn and... more
    ABSTRACT A data driven simulation method for real-time decision making on assembly system is necessary in smart assembly. By analyzing an example automotive assembly line, the useful plant floor information for simulation are drawn and collected. An E-R model of the plant floor information is set up to describe the relationship among entities and bridge the assembly shop floor information and simulation models. An operation-based simulation model of assembly line is built to accommodate different combination of basic task elements in stations when production schedules are changed according to labor resources and line throughput. Using the Arena software, automatic generation of simulation models has been realized based on the physical layout data of assembly line. Different operation-based production data are used to illustrate the data driven or enabled simulation method by primary experiments.
    In this paper the basic principles and influenced factors of Direct Methanol Fuel cells(DMFC) are analyzed.To active DMFC as the research object, the DMFC control system is designed based on MSP430 microcontroller. By controlling the... more
    In this paper the basic principles and influenced factors of Direct Methanol Fuel cells(DMFC) are analyzed.To active DMFC as the research object, the DMFC control system is designed based on MSP430 microcontroller. By controlling the concentration of methanol,the temperature of DMFC stack operating and the speed of anode and cathode feeding into the system, high performance and high fuel efficiency
    ABSTRACT Conventionally, improving production efficiency, flexibility and responsiveness has been the primary research focus of production management, while energy consumption has received relatively little attention. Energy consumption... more
    ABSTRACT Conventionally, improving production efficiency, flexibility and responsiveness has been the primary research focus of production management, while energy consumption has received relatively little attention. Energy consumption plays a more and more important role in manufacturing environment. This is mainly driven by energy cost and environmental concerns. When the energy system becomes complicated and coupled with ongoing production, it is very difficult to hunt the “hidden treasure” which affects the overall benefit of a manufacturing system. This paper provides a systematic method for energy management in a production system. We start from dynamic production transient analysis and provide quantitative analysis for energy saving opportunity in a system. Furthermore, energy saving is integrated into production system which includes downtime and throughput to provide integrated energy management framework for a production system. A case study is conducted to demonstrate its potential on energy savings in a multi-stage manufacturing system.
    Abstract— Reduction of energy consumption is important for reaching a sustainable future. This paper presents a novel method for optimizing the energy consumption of robotic man-ufacturing systems. The method embeds detailed evaluations... more
    Abstract— Reduction of energy consumption is important for reaching a sustainable future. This paper presents a novel method for optimizing the energy consumption of robotic man-ufacturing systems. The method embeds detailed evaluations of robots' energy consumptions into a ...
    ABSTRACT In manufacturing industry, downtimes have been considered as major impact factors of production performance. To improve the system performance in real-time and properly allocate limited resources/efforts to different stations, it... more
    ABSTRACT In manufacturing industry, downtimes have been considered as major impact factors of production performance. To improve the system performance in real-time and properly allocate limited resources/efforts to different stations, it is necessary to quantify the impact of each station downtime event on the production throughput of the whole transfer line. Complete characterization of the impact requires a careful investigation of the transients of the line dynamics disturbed by the downtime event. We study in this paper, the impact of single isolated downtime event on the performance of inhomogeneous serial transfer lines. Our mathematical analysis suggests that the impact of any isolated downtime event is only apparent in the relatively long run when the duration exceeds a certain threshold called opportunity window. The size of the opportunity window not only depends on the initial buffer levels but also depends on the location and the processing speed of the slowest station. Analytical solutions of the opportunity window and the loose upper bounds for the recovery time are also provided in the paper as two separate theorems. Despite the fact that the paper focuses on the transient analysis of single isolated downtime event, the results are applicable to opportunistic maintenance scheduling, personnel staffing and downtime cost estimation.
    In the automotive industry an integrated set of manufacturing engineering activities lie on the critical path of the Vehicle Development Process (VDP). After the product integration design is finalized, the Production Tool Design and... more
    In the automotive industry an integrated set of manufacturing engineering activities lie on the critical path of the Vehicle Development Process (VDP). After the product integration design is finalized, the Production Tool Design and Build (PTDB) processes becomes the VDP critical path. It is in the PTDB where virtual launch and validation activities are performed. To increase throughput of the
    ABSTRACT In order to develop a manufacturing automation system, it is necessary to understand the manufacturing operations and their relationship, the sequence of operations, which is the basis for control logic design. The operations... more
    ABSTRACT In order to develop a manufacturing automation system, it is necessary to understand the manufacturing operations and their relationship, the sequence of operations, which is the basis for control logic design. The operations have preconditions that define when they are allowed to start executing, which also defines the sequence relations among them. Requirements and demands throughout the development will add and change these conditions, which also changes the sequence of operations. This paper studies how an operation-oriented development approach better can handle the operations and manufacturing sequences from early product design to detailed control engineering. An operation is defined by an extended finite automaton, with an initial, executes and finished location. The start event is enabled by a precondition, the stop event is enabled by a postcondition and the reset event is enabled by a reset condition. This representation together with a resource and product description enables the possibility to integrate control logic in the complete development process.
    Bottlenecks in a production line have been shown to be one of the main reasons that impede productivity. Correctly and efficiently identifying botdeneck locations can improve the utilisation of finite manufacturing resources, increase the... more
    Bottlenecks in a production line have been shown to be one of the main reasons that impede productivity. Correctly and efficiently identifying botdeneck locations can improve the utilisation of finite manufacturing resources, increase the system throughput, and minimize the total cost of production. Current bottleneck detection schemes can be separated into two categories: analytical and simulation-based. For the analytical method,
    ABSTRACT To achieve this goal, a battery simulation model is needed. Such a model should provide capabilities for performance evaluation and failure prediction, through simulation of cell variations, joint quality, and thermal... more
    ABSTRACT To achieve this goal, a battery simulation model is needed. Such a model should provide capabilities for performance evaluation and failure prediction, through simulation of cell variations, joint quality, and thermal distributions. It should also enable us to investigate the impacts of both external and internal changes, such as work status (charge, discharge, idle, etc.), temperature, driving profiles, connecting and sealing qualities, etc. In addition, using such a battery model, the quality performance of a manufactured battery can be fed back to design and manufacturing engineers to identify the potential impact of design and improvement of manufactur­ ing process on battery performance. Currently, models with these capabilities are still not available. Therefore, in this paper, we present a simulation frame­ work, which is capable of carrying out such functions by incorporating various models to emulate the dynamic changes in battery parameters and inputs. Such a framework is referred to as virtual battery. The model is based on the analysis of coupled kinetics,
    ABSTRACT Effective control of production operations usually leads to improved energy efficiency in manufacturing systems. In this paper, we investigate energy consumption reduction in production systems by scheduling of machine startup... more
    ABSTRACT Effective control of production operations usually leads to improved energy efficiency in manufacturing systems. In this paper, we investigate energy consumption reduction in production systems by scheduling of machine startup and shutdown. Specifically, we consider serial production lines with finite buffers and machines having Bernoulli reliability model. This machine reliability model is applicable in production situations, where the downtime is relatively short and comparable to machine cycle time (e.g., automotive paint shops and general assembly). Using transient analysis of the systems at hand, an analytical performance evaluation technique is developed for Bernoulli serial lines with time-dependent machine efficiencies. In addition, trade-off between productivity and energy-efficiency in production systems is discussed and the energy-efficient production problem is formulated as a constrained optimization problem. The effects and practical implications of operations schedule are demonstrated using a numerical study on automotive paint shop operations.
    Reduction of energy consumption is important for reaching a sustainable future. This paper presents a novel method for optimizing the energy consumption of robotic manufacturing systems. The method embeds detailed evaluations of... more
    Reduction of energy consumption is important for reaching a sustainable future. This paper presents a novel method for optimizing the energy consumption of robotic manufacturing systems. The method embeds detailed evaluations of robots' energy consumptions into a scheduling model of the overall system. The energy consumption for each operation is modeled and parameterized as function of the operation execution time,
    ABSTRACT This paper discusses data synthesis of production and facility knowledge for sustainability analysis by applying the ISA–95 “Activity Models of Manufacturing Operations Management” (MOM) model. Presently, production and facility... more
    ABSTRACT This paper discusses data synthesis of production and facility knowledge for sustainability analysis by applying the ISA–95 “Activity Models of Manufacturing Operations Management” (MOM) model. Presently, production and facility management basically function independently of each other. This paper presents the addition of facility activities to the MOM model, in accordance with the needs for attaining a holistic view of sustainability analysis. Historically, production and facility data are represented in various forms, e.g., data bases, CAD, and spread-sheets, without a common unifying representation. Based on this combination of incompatible modeling tools, the use of Core Manufacturing Simulation Data (CMSD) is proposed as a standard framework for integrating the broad range of technology. A case study of the data synthesis for a precision sand casting production facility is explored.
    ABSTRACT Research efforts for energy consumption reduction in manufacturing systems have been centered at technology and process innovation. These projects, however, often involve major capital investment of new equipment and material. In... more
    ABSTRACT Research efforts for energy consumption reduction in manufacturing systems have been centered at technology and process innovation. These projects, however, often involve major capital investment of new equipment and material. In this paper, we explore energy saving opportunities through improvement in factory floor operations. Specifically, in the framework of Bernoulli serial lines, we consider production systems with stripping operations. In such systems, the in-process buffers have to be depleted at the end of each shift to avoid quality deterioration during off-shift periods. Transient analysis of the systems are carried out and formulas to calculate the performance measures are derived. In addition, we investigate the effect of machine startup schedule on the system performances and develop optimal startup schedule which, as shown in the paper, can lead to significant improvement in energy utilization efficiency.
    There are many types of Energy Management Systems (EMS) that may be found in the industrial, commercial, and residential sectors. These systems range from the largest and most complex ones found in power generation and industrial plants... more
    There are many types of Energy Management Systems (EMS) that may be found in the industrial, commercial, and residential sectors. These systems range from the largest and most complex ones found in power generation and industrial plants down to the smallest and simple systems utilized by the residential consumer of energy. Independent of the magnitude and sophisication of the application,
    ABSTRACT Real-time control of production systems has significant practical and theoretical implications, especially in rapid response and decision making under critical conditions. However, analytical methods for analysis and control of... more
    ABSTRACT Real-time control of production systems has significant practical and theoretical implications, especially in rapid response and decision making under critical conditions. However, analytical methods for analysis and control of production system in real-time remain largely unexplored. In the framework of serial production lines with Bernoulli machines and finite buffers, this paper develops a mathematical model for real-time performance analysis and derives closed-form expressions for evaluating the production rate, consumption rate, work-in-process, and probabilities of machine starvation and blockage, in real-time. In addition, a computation-efficient procedure based on recursive aggregation is developed to approximate the real-time performance measures with high accuracy.
    Effective control of production operations is con- sidered as one of the most economical methods to improve energy efficiency in manufacturing systems. This paper in- vestigates energy consumption reduction in Bernoulli serial lines with... more
    Effective control of production operations is con- sidered as one of the most economical methods to improve energy efficiency in manufacturing systems. This paper in- vestigates energy consumption reduction in Bernoulli serial lines with buffer stripping, i.e., with the buffers that must be depleted at the end of each shift. This buffer depletion activity is widely used in automotive paint shops and other production systems with perishable products to avoid quality deterioration. Clearly, to reduce energy consumption in such systems, the startup schedule of the machines downstream of the depleted buffers should be controlled properly at the beginning of each shift. In this paper, using transient analysis of the systems at hand, performance evaluation formulas are derived and system-theoretic properties are analyzed. In addition, effective controllers for machine startup schedule are proposed. The efficacy and practical implications of these controllers are demonstrated using numerical investigation. Finally, insights for obtaining the optimal controllers are provided.
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    Closed production lines have been analyzed in the literature under the assumption that the machines obey either the Bernoulli or exponential reliability models. Empirical evidence indicates, however, that manufacturing equipment on the... more
    Closed production lines have been analyzed in the literature under the assumption that the machines obey either the Bernoulli or exponential reliability models. Empirical evidence indicates, however, that manufacturing equipment on the factory floor often has the coefficients of variation of up- and downtime less than 1; therefore, the statistics of machine reliability may be neither Bernoulli nor exponential. This paper analyzes the performance, system-theoretic, and improvability properties of closed production lines with machines having up- and downtime distributed according to any unimodal distribution, provided that the coefficients of variation are less than or equal to 1.
    ABSTRACT Improving quality in large volume battery manufacturing systems for hybrid and electric vehicles is of significant importance. In this paper, we present a flow model to analyze and improve product quality in electrical vehicle... more
    ABSTRACT Improving quality in large volume battery manufacturing systems for hybrid and electric vehicles is of significant importance. In this paper, we present a flow model to analyze and improve product quality in electrical vehicle battery assembly lines with 100% inspections and repairs for defective parts. Specifically, a battery assembly line consisting of multiple inspection stations is considered. After each inspection, defective parts will be repaired and sent back to the line. A quality flow model is introduced to analyze quality propagations along the battery production line. Analytical expressions of final product quality are derived and structural properties, such as monotonicity and sensitivities, are investigated. A bottleneck identification and mitigation method is introduced to improve quality performance. Finally, a case study is presented to illustrate the applicability of the method.
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