Samuel Huang

• University of Cincinnati

This article presents the issue of extended warranty and management strategies in a three-echelon competing online shopping supply chain with price- and base warranty period-dependent demand. We employ game theory to develop decision models to explore the interactions between component suppliers and the manufacturer, as well as competition between...

Service quality coordination is a critical issue of online shopping service supply chain (OSSSC) management. However, such decision-making is problematic due to the behavior of channel members with characteristics of individual rationality and concerns of fairness. The two characteristics matter much to the performance and service quality of the su...

Existing measures in the literature that are specifically concerned with testing and measuring independence between two continuous variables are all based on examining the definition of independence, i.e., FXY(x, y) = FX(x)FY(y). A new measure is constructed uniquely in this paper that uses the absolute value of first difference on adjacent ranks o...

Life cycle assessment (LCA) for new designs is a difficult and time-consuming task. This study creates a predictive eco-design process using depth-first search. The approach uses a multi-attribute function, a similarity threshold, and depth-first search (DFS) to match new designs to previous designs, search the similarity graph, separate designs in...

The response speed of emergency medical services (EMS) is extremely critical for pre-hospital lifesaving. Each second plays a vital role in emergent cases. Therefore, the EMS network should be carefully designed to provide timely and reliable services. This paper focuses on improving the classical ambulance deployment method to optimize the distrib...

Supervised feature selection research has a long history. Its popularity exploded in the past 30 years due to the advance ofinformation technology and the need to analyze high-dimensional data sets. Research papers published during these yearswere mostly from the machine learning and artificial intelligence community. The emphasis was largely on im...

Sensitivity and specificity of using individual tumor markers hardly meet the clinical requirement. This challenge gave rise to many efforts, e.g., combing multiple tumor markers and employing machine learning algorithms. However, results from different studies are often inconsistent, which are partially attributed to the use of different evaluatio...

Additive manufacturing (AM) technology has the potential to significantly improve supply chain dynamics, reduce shipping costs and shorten delivery lead times. Using AM technology, manufacturers can produce parts on demand and thus reduce the need of maintaining safety inventory. This is especially useful in the aircraft spare parts industry where...

This paper addresses the problem of motion tracking of human skeleton system using non-invasive vision based sensors. The proposed approach combines synergistic paradigms of image processing, kinematics of rigid bodies and Extended Kalman Filtering scheme to estimate the motion of a human limb system. This approach solely depends on the measurement...

Enterprises have now realised that in order to increase the competitiveness, they not only need to improve efficiencies within the enterprise, but also need to improve the performance of the entire supply chain. Because of the increasingly stringent environmental regulations, enterprises are interested in establishing green supply chains. The objec...

Spurred by the aging world, various network–based healthcare systems have been developed to provide and facilitate elderly healthcare service. This paper is intended to provide a review on the state of the art for network-based elderly healthcare systems in the US. Initial search resulted in 41 patents and after careful review 9 representative pate...

To overcome the difficulty of dynamic evaluation and driver analysis in product family evolution (PFE), a comprehensive evaluation approach was proposed by analyzing the influences of customer needs, enterprise resources, and product data in the product family implementation process. From the perspective of time and space, the dynamic and static re...

To maintain competitive advantages in today's global market, US companies are challenging higher education institutions to bridge competency gaps between industry workforce needs and what is provided by engineering education programs. To meet this challenge, the Mechanical Engineering program at the University of Cincinnati proposes the EXPLORES (E...

Condition-based monitoring (CBM) has advanced to the stage where industry is now demanding machinery that possesses self-diagnosis ability. This need has spurred the CBM research to be applicable in more expanded areas over the past decades. There are two critical issues in implementing CBM in harsh environments using embedded systems: computationa...

Industrial sustainability assessment becomes a new issue along with the depletion of natural resource and environmental degradation. As fundamental tools to quantitative assessment and management of sustainable development, indicator construction and evaluation methods have been a research focus. This paper intends to develop an innovative approach...

Thirty years into its development, additive manufacturing has become a mainstream manufacturing process. Additive manufacturing build up parts by adding materials one layer at a time based on a computerized 3D solid model. It does not require the use of fixtures, cutting tools, coolants, and other auxiliary resources. It allows design optimization...

The article is intended to launch a discussion on a new method to quantify associations between drugs and adverse drug reactions (ADRs). Based on the contingency table for a drug and ADR, we proposed a method to evaluate the strength of a pairwise association using a hypergeometric distributions-based hypothesis test. In contrast to existing freque...

Classification is an important task in data mining. Class imbalance has been reported to hinder the performance of standard classification models. However, our study shows that class imbalance may not be the only cause to blame for poor performance. Rather, the underlying complexity of the problem may play a more fundamental role. In this paper, a...

This paper presents a model independent feature selection approach to identify a small subset of marker genes. An evaluation measure, minimum expected cost of misclassification (MEMC), is used to estimate the discriminative power of a feature subset without building a model. The MECM measure is combined with sequential forward search for feature se...

Dimensionality reduction is an important step in knowledge discovery in databases. Intrinsic dimension indicates the number of variables necessary to describe a data set. Two methods, box-counting dimension and correlation dimension, are commonly used for intrinsic dimension estimation. However, the robustness of these two methods has not been rigo...

Our study is to investigate somatosensory dysfunction in children with spastic cerebral palsy (CP) using magnetoencephalography (MEG) and synthetic aperture magnetometry (SAM). Six children with spastic CP and six age- and gender-matched typically developing children were studied using a 275-channel MEG system while their left and right index finge...

Globalization and advances in information technology has prompted a need to change traditional lecture-based passive learning methodology to an active multi-sensory experiential learning methodology. This article presents a state-of-the-art review of extant applications of simulation games in engineering education. It was concluded that proper appl...

Data mining techniques have been applied to discover knowledge from large observational data sets. In this paper, we focus on mining large medical claims databases to identify high‐risk patients. Patient selection, feature extraction, and feature selection are three important processing steps before popular data mining techniques are successfully a...

Feature selection is a critical preprocessing step in machine learning. It contributes to cost-effective model building and improvement of model prediction performance. Generally, a feature selection algorithm requires a dependency measure and a search strategy. Extant dependency measures are mostly based on pair-wise correlation analysis, which ca...

Machine tools and machining systems have gone through significant improvements in the past several decades. Recent advance in information technology made it possible to collect and analyze a large amount of data in real time. This brings about the concept of a smart machine tool, enabled by process monitoring and control technologies, to produce th...

The International Knee Documentation Committee (IKDC) Subjective Knee Evaluation Form (IKDC Knee Form) is a valid, reliable, and responsive measure of knee-related symptoms, function, and sports activities in adults. Despite the incidence of knee injuries in younger individuals, the measurement characteristics of the IKDC Knee Form have not been es...

Setup planning is the act of preparing detailed work instructions for setting up a part. The purpose of setting up a part is to ensure its stability during machining and, more importantly, the precision of the machining processes. Therefore, tolerance control can be achieved proactively via setup planning. This fact was somewhat overlooked in the c...

Original equipment manufacturers are facing more pressure to improve the recyclability of their products. The concept of environmentally conscious design and manufacturing has been adopted in an effort to improve the environmental compatibility of manufactured goods. This new trend requires that environmental considerations be incorporated into des...

Product service system (PSS) has recently been proposed as a business model. The PSS model requires adjustments of not only internal company technology but also maintenance, service, and supply chain management of up- and downstream suppliers. The implementation of PSS faces a number of challenges. This paper focuses on the challenges in maintenanc...

CNC machine tools have contributed in a very large extent, to the rise in highly ingenious manufacturing processes. The rise of the CNC machine tool coupled with the advent of sophisticated monitoring and control systems have ensured the tremendous improvements on the efficiency front over the past few decades. There are a number of technologies av...

Knowledge discovery from data directly can hardly avoid the fact that it is biased towards the collected experimental data, whereas, expert systems are always baffled with the manual knowledge acquisition bottleneck. So it is believable that integrating the knowledge embedded in data and those possessed by experts can lead to a superior modeling ap...

Data mining, through its capacity to discover knowledge embedded in large databases to improve organizational decision-making, has the potential to contribute to efficiencies and cost savings in the increasingly costly healthcare industry. One important aspect of the methods of mining medical databases includes reducing dimensionality through featu...

This paper presents a novel method for classification problems. Firstly, entropy is introduced to select the best discretization solution from Chi-merge for each feature to guide grid partition. Afterwards one simple rule is generated from each data point, and the combination of simple rules with the same antecedent yields the consequent of an aggr...

This paper presents a robust and efficient method to discover knowledge for classification problems through data summarization. It discretizes continuous features and then summarizes the data using a contingency table. Inconsistency rate for different subsets of features can then be easily calculated from the contingency table. Sequential search is...

One-time password (OTP) is always used as the strongest authentication scheme among all password-based solutions. Currently, consumer devices such as smart card have implemented OTP based two-factor authentications for secure access controls. Such solutions are economically sound without support of timestamp mechanisms. Therefore, synchronization o...

Seamless tubing is the most commonly used process for high quality pipe products due to its ability to provide material consistency. However, the yield is hindered by complex workmanship and manufacturing operations, with the resulting risk of flaws, low productivity, and high manufacturing costs. This paper describes a systematic procedure to impl...

Circumstantial evidence suggests that service industries play an important role in the slowdown of the US non-farm multifactor productivity after 1973. Productivity improvements in services are harder to achieve than in goods producing industries. The shift of the US economy towards a larger share of services implies the need for concerted producti...

The overall equipment effectiveness (OEE) metric is a powerful tool that can be used to measure performance and also perform diagnostics at the equipment level. Although important, gains made in OEE are insufficient; because the ultimate objective is a highly efficient integrated system, not brilliant individual equipment. Factory level performance...

In today's competitive world, manufacturers have realized that the y need to embrace automation as their mantra to success. However, the impact of automation primarily concerns with the effectiveness of process monitoring and control systems. There is a need for a closed loop supervisory system, which integra tes and coordinates individual process...

Tolerance stackup in machining results from using operational datums that are different from design datums. It is inevitable due to economic considerations of the machining process. Conventional methods used for tolerance stackup analysis include worst-case and statistical analysis. These methods are based on strong assumptions and have certain dra...

Proper maintenance of equipment to prevent failures has become increasingly important. For manufacturing companies, it enables uninterrupted production to support lean manufacturing. For commercial carriers, it ensures the safety of passengers and crew members. Maintenance technology has progressed from time-based to condition-based. The idea of co...

Seiichi Nakajima provided overall equipment effectiveness (OEE) to measure productivity and perform diagnostics at the equipment level. However, a literature review indicates that such metrics are lacking at the factory level. In order to address this gap, an overall throughput effectiveness (OTE) metric is developed. The purpose of OTE is twofold:...

This paper describes a robust modeling method to handle inverse problems with missing data. The modeling method is applied to aircraft fuel measurement considering sensor failure. Neural Networks that are tolerant to noisy data are adapted to approximate the nonlinear physical process. Unlike previous algorithms that use gradient information to sea...

Modeling with real-world data is often plagued with the problem of missing values, limiting the applicability and validity of the developed model. Several algorithms exist in the literature to facilitate the analysis of incomplete data by imputing missing values. However, their imputation accuracy and practical applicability have not been systemati...

This paper introduces a comprehensive system for the production planning of the mass customization of non-rotational parts. Combined features are defined based on the concept of part families. The process parameters are associated with the feature parameters so that rapid production planning can be achieved for product design changes. Setup plannin...

As firms are increasingly becoming outsourcing oriented, supplier selection has become a major strategic decision for original equipment manufacturers (OEMs). Hundreds of publications can be found in the literature that deal with supplier selection. Researchers from business school often emphasize philosophical issues and focus on developing qualit...

Setup planning plays a crucial role in CAPP to ensure product quality while maintaining acceptable manufacturing cost. The tasks of setup planning include identifying manufacturing features and corresponding manufacturing processes, determining the number of setups, part orientation, locating datum and process sequence in each setup, and selecting...

To facilitate the computer-aided manufacturing planning (CAMP) for mass customization, an information model is developed for integrating the information exchange in different levels of CAMP activities. The correlative relationships between product design and manufacturing processes are established by using an object-oriented system analysis model s...

Process planning has long been regarded as the key to achieving seamless integration between design and manufacturing. While there have been great successes in automating portions of the process planning task such as operation sequencing and cutter path optimisation, other areas such as automatic setup generation still remain elusive. This paper de...

System health monitoring is a set of activities performed on a system to maintain it in operable condition. Monitoring may be limited to the observation of current system states, with maintenance and repair actions prompted by these observations. Alternatively, monitoring of current system states is being augmented with prediction of future operati...

Products affect the environment at many points in their life cycles. Once a product moves from the drawing board into the production line, its environmental attributes are largely fixed. Many researchers have focused on developing intelligent systems to provide a variety of design and manufacturing information to help designers make environmentally...

Setup planning is an intermediate phase of process planning, and automating setup planning constitutes a critical component of computer-aided process planning. The common absence of a clearly defined optimality of setup plans has been a major obstacle to converting automatic setup planning research progress into real advancement in practice. The op...

This paper describes a typology for designing supply chains that work in harmony to design, produce, and deliver products with different characteristics and customer expectations. This research discusses supply chain types that are necessary for success across three types of products: standard, innovative, and hybrid. It develops a framework for ca...

Globalisation is posing several challenges to the manufacturing sector. Design and operation of manufacturing systems are of great economic importance. Factory performance remains unpredictable, in spite of the considerable literature on manufacturing productivity improvement and the long history of manufacturing, as there is no widespread agreemen...

The service sector now makes up more than 70% of the US economy, yet its productivity growth is anaemic compared to that of manufacturing. This created a sense of urgency for efficiency improvement, especially in pharmacy operations due to a severe shortage of pharmacists. In pharmacy operations, it very difficult to apply the traditional time stud...

Globalisation is posing several challenges to the manufacturing sector. Design and operation of manufacturing systems are of great economic importance. Factory performance remains unpredictable in spite of the considerable literature on manufacturing productivity improvement, and the long history of manufacturing as there is no widespread agreement...

Products affect the environment at many points in their life cycles. Once a product moves from the drawing board into the production line, its environmental attributes are largely fixed. Many researchers focus on developing intelligent systems to provide a variety of design and manufacturing information to help designers make environmentally consci...

Fixtures--the component or assembly that holds a part undergoing machining--must be designed to fit the shape of that part and the type of machining being done. This book discusses the fundamentals of Computer-Aided Fixture Design (CAFD) techniques and covers fixture planning, fixture design (both modular and dedicated fixtures), fixture design ver...

This chapter introduces a method for modeling work-piece boundary conditions and applied loads during a machining process, analyzing the work-piece deformation, and optimizing support locations using finite element analysis (FEA). Work-piece boundary conditions are defined through locators and clamps that are in contact with the work piece. The loc...

Fixtures are used to locate and hold workpieces with locators and clamps respectively, so that the desired positions and orientations of the workpieces can be maintained during machining or manufacturing processes. Fixture design involves setup planning, fixture planning, fixture structural design, and design verification. This chapter presents aut...

A supply chain is a network of facilities that procure raw materials, transform them into intermediate goods and then final products, and deliver the products to customers through a distribution system. To achieve integrated supply chain management, a number of researchers and practitioners have devoted their efforts in developing models to describ...

Hard turning is a critical machining operation that imposes strict requirements on both the cutting and machine tools. The condition of the machine in terms of its stability and ability to maintain proper operating conditions is very critical in a hard turning operation. Bearing wear and fixture alignment are two critical machine health factors tha...

Successful supply chain management calls for robust supply chain design and evaluation tools. Many published papers focused on high level strategic aspects of supply chain design and the results are usually generic guidelines for business executives rather than specific tools for plant managers. In this paper, we present a decision-based methodolog...

This study investigates the feasibility of monitoring tool wear and surface finish based on force signal by conducting a set of experiments in turning operations. Our study shows that the force signal appears curvi-linear with both uniform and maximal tool wear and shifts systematically across different cutting conditions; the force frequency spect...

Fixtures--the component or assembly that holds a part undergoing machining--must be designed to fit the shape of that part and the type of machining being done. This book discusses the fundamentals of Computer-Aided Fixture Design (CAFD) techniques and covers fixture planning, fixture design (both modular and dedicated fixtures), fixture design ver...

The organization of work has been addressed through numerous perspectives by a diverse set of disciplines. While job stress research has focused on the promotion of worker well-being, contemporary business-improvement initiatives (e.g., lean manufacturing, six sigma) have sought to optimize effectiveness through work processes. However, these two a...

In the discrete part manufacturing industry, engineers develop process plans by selecting appropriate machining processes and production equipment to ensure the quality of finished components. The decisions in process planning are usually made based on personal experience and the verification of process plans is based on physical trial-and-error ru...

Model-based preventive maintenance relies on creating models that can either predict future operating states or upcoming failures directly. Since no modeling algorithm can guarantee a best solution in every situation, it becomes necessary to evaluate the solutions generated by these techniques. This paper reviews some popular criteria traditionally...

Effective supply chain design calls for robust analytical models and design tools. Previous works in this area are mostly Operation Research oriented without considering manufacturing aspects. Recently, researchers have begun to realize that the decision and integration effort in supply chain design should be driven by the manufactured product, spe...

Previously, a simulation-based methodology was proposed to evaluate the dimensional and geometric accuracy of machined components. The methodology uses sample points to represent workplace geometry. The change of spatial positions of these sample points are simulated based on manufacturing error synthesis. Various manufacturing errors are lumped in...

Automatic set-up planning has been regarded as a challenging task in computer-aided process planning (CAPP), which is a critical link in the integration of computer-aided design (CAD) and computer-aided manufacturing (CAM). Solving this problem is a top priority for CAD/CAM researchers and developers. Many researchers have worked on the problem and...

Knowledge acquisition is the process of collecting domain knowledge, documenting the knowledge, and transforming it into a computerized representation. Due to the difficulties involved in eliciting knowledge from human experts, knowledge acquisition was identified as a bottleneck in the development of knowledge-based system. Over the past decades,...

This paper presents a novel approach, which is based on integrated (automatic/interactive) knowledge acquisition, to rapidly develop knowledge-based systems. Linguistic rules compatible with heuristic expert knowledge are used to construct the knowledge base. A fuzzy inference mechanism is used to query the knowledge base for problem solving. Compa...

Decades of computer-aided process planning research has resulted in techniques that automate portions of the process planning task such as operation sequencing and cutter path optimisation. Nonetheless, solutions to other areas such as setup planning and fixturing remain elusive. Setup planning research has received increased attention in recent y...

Traditional productivity metrics, such as throughput and utilization rate, are not very helpful for identifying the underlying problems and opportunities for productivity improvement in a manufacturing system. In this paper, a systematic methodology is presented for productivity measurement and analysis at the factory level. Metrics of Overall Equi...

Mesh generation is essential in many engineering analysis applications. In most analyses the use of hexahedral meshes will enable higher analysis accuracy for given computational resources, compared to the use of tetrahedral or hybrid meshes. Unfortunately, tools that are offered in current commercial mesh generation software packages cannot produc...

Tolerance control is critical in assuring product quality in discrete part manufacturing. This paper deals with an important aspect of tolerance control, namely, the assignment of production tolerance i3nd determination of working dimensions. The guiding principle is that tolerance is used to account for the inevitable errors in manufacturing, whic...

Abstract The introduction of polyethylene ,terephthalate (PET) makes ,it possible to produce ,safe and functional plastic containers at a reasonable cost. The production of a PET container usually involves two stages. First, amorphous PET is injection molded into a preform. Then, the preform is reheated and blown into a container. Material distribu...

This paper introduces a comprehensive system of production planning for mass customization. The combined features are defined based on the concept of part families. The process parameters are associated with the feature parameters so that a rapid production planning can be achieved for product design changes. Setup planning is carried out based on...

The advent of artificial neural networks has contributed significantly to the field of knowledge engineering. Neural networks belong to a family of models that are based on a learning-by-example paradigm in which problem solving knowledge is automatically generated according to actual examples presented to them. The knowledge, however, is represent...

A supply chain consists of suppliers, manufacturers, distributors, and customers, all linked together with a forward flow of material and backward flow of information. It encompasses all activities associated with the flow and transformation of goods from raw material extraction through end use. Supply chain management is the integration of critica...

The implementations of design for assembly and design for manufacture (DFM) led to enormous benefits including simplification of products, reduction of assembly and manufacturing costs, improvement of quality, and reduction of time to market. More recently, environmental concerns required that disassembly and recycling issues should be considered d...

Currently, most CAD systems, even the feature-based design systems which were developed for CAPP, cannot provide exact information about an object (e.g. dimensions and tolerances). Some feature-based design systems can provide product data directly or indirectly; however, most CAPP systems still do not have an interface with CAD systems. The produc...

Setup planning and fixture design are two closely related tasks. While setup planning is constrained by fixtures to be applied, it also provides guidelines for fixture design. This cyclic interaction creates the "chicken or egg" dilemma, which is the main research barrier. Most researchers circumvent this problem by focusing on either setup plannin...

The implementations of design for assembly and design for manufacture (DFM) led to enormous benefits including simplification of products, reduction of assembly and manufacturing costs, improvement of quality, and reduction of time to market. More recently, environmental concerns required that disassembly and recycling issues should be considered d...

In order to remain competitive in the global market, original equipment manufacturers (OEMs) are developing a process-based, knowledge-driven product development environment with emphasis on the acquisition, storing, and utilization of manufacturing knowledge. This is usually achieved by using the symbolic artificial intelligence (AI) approach. Spe...

Rule-based systems have been the forerunner among contemporary techniques for systems engineering. A doyen of the intelligent systems, they have undergone philosophical and methodological transformations and have proven to be very successful in applications such as robotics, geometric information systems, medical instrumentation, image processing,...

this paper, an innovative approach is developed to acquire forging process knowledge automatically by combining learning ability of the neural networks with the structured knowledge representation of rule-based systems. The approach is applied to the classification of process methods used in a type of impression-die forging, namely, drop hammer for...

The internet is dramatically changing the ways we learn and teach, as well as the way we interact as a society. The “same time, same place, only some people” traditional instructional method is giving way to “anytime, anyplace, anybody” educational models. This paper deals with the development of a Web-based integrated manufacturing laboratory (WIM...

Information fusion includes the integration of feature data, expert knowledge, and algorithms. For example, in automatic target recognition features of size, color, and motion can be fused to assess the combination of multi-modal information. A neurofuzzy fusion of features captures the multilevel language content of sensory information by fusing n...

Original equipment manufacturers are facing more pressure to improve the recyclability of their products. The concept of environmentally conscious design and manufacturing has been adopted in an effort to improve the environmental compatibility of manufactured goods. This new trend requires that environmental considerations be incorporated into des...

In this paper, a software tool for NC (numerical control) cutter path simulation and product visualization, 3D-Sim, is presented. 3D-Sim utilizes a commercial computer-aided design (CAD) software tool, AutoCAD, to perform virtual NC verification. An NC program is interpreted and transformed into an AutoLISP program, which once loaded in AutoCAD all...

The development of computer-aided design (CAD) and computer-aided manufacturing (CAM) has advanced to the stage where NC (numerically controlled) codes can be automatically generated for components created using a CAD model; however, there still remains a gap between the CAD/CAM environment and the physical machining processes. A critical aspect of...

Environmentally conscious design and manufacturing (ECD&M) is a view of manufacturing that includes the social and technological aspects of the design, synthesis, processing, and use of products in continuous or discrete manufacturing industries. The benefits of ECD&M include safer and cleaner factories, worker protection, reduced future costs for...