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Statistical Process Control (SPC) and Automatic Process Control (APC) are two different methods for quality improvement and process adjustment that have been developed in isolation from each other and applied within different industries. SPC minimizes variability by monitoring and eliminating the assignable causes of variation whereas APC achieves the same objective by handling manipulated process...
Product line design and pricing are crucial activities for a firm's success especially in a competitive market with high product variety. Recent literature has reported various profit-maximization models with product mix and prices as decision variables. Product mix is a discrete variable while price is treated as a continuous variable. Optimizing both mix and price simultaneously can be challenging...
The probability of union events is always important in management science. Many real life applications use such probability in their core implementations. The most popular method to calculate the probability of union events is the Inclusion-Exclusion Principle (IEP), which originates from the idea of Abraham de Moivre (1718). However, the computation complexity is exact O(2n), and no matter what the...
Traditional multi-objective optimization attempts to And Pareto optimal solutions. Since a Pareto optimal set can be huge, the problem of selecting one or few solutions occurs. Post optimality analysis in multi-objective optimization requires incorporation of decision makers' preferences in the form of weights. In this paper the concept of robustness with regards to weights is introduced. The different...
This study aims to extract the most relevant set consisted of affective variables to the level of user satisfaction on engine sounds using classification algorithm. The affective variables for engine sounds were defined by three axes, and two classification algorithms were used to determine the prediction accuracy for those affective axes. The study was consisted of three phases: 1) extracting sets...
In the age of 24 hours a day, 7 days a week business it happens more often, that companies hire experts on working time, whose task it is to develop a new company-specific shift system. As a new shift system usually entails not only advantages but also disadvantages, often several new alternative shift systems are elaborated. Subsequently a panel of representatives of employers and employees are faced...
The aim of this study is to examine the types of commands are appropriate to gesticulate when controlling a smart TV. The experiment was conducted to see the relationship between ‘gesture-appropriate score’ and ‘function variables’. For the experiment, eighty-seven commands of smart TV were extracted and three function variables (‘frequency’, ‘depth’, ‘type’) were selected. Also, the levels of each...
Even a best performing industry requires a major improvement in project selection methods as nearly half of initial new product development ideas occur informally or without a specific goals. In an industry, for efficient selection of projects it requires trade-off among maximizing revenues, optimizing resources and minimizing risks. The objective of this paper, is to study and identify an efficient...
With the advantages of the modularization concept, this paper proposes an integration modeling method of failure prediction Bayesian network (FPBN) for failure prediction of complex equipment system. First of all, the definition of failure prediction Bayesian network module (FPBNM) is introduced and described. Then, when the complex equipment system is decomposed into some subsystems and represented...
Advancements in communications technology, coupled with the remarkable difference of labour costs among countries, has fostered the delivery of projects through virtual teams. The purpose of this research is the development of an evaluation tool that can assist a project manager assess the operation of a virtual team. The proposed tool, mainly based on an intra-team survey, evaluates risk factors...
The paper deals with the application of selected analytical methods for analysing field data from heavy off-road military vehicles. The information from the engine oil is interpreted in a form of polluting particles like particles from a wear process (e.g. Fe, Pb, Cu, etc.) and particles from oil deterioration itself (like Mn, Si, Zn, etc.). These data have good technical and analytical potential...
A 3D process model shows the manufacturing information intuitively in different machining stages. Efficiently and easily constructing 3D process model is one of the most important key technologies in 3D computer aided process planning system and it meets the requirements of the current 3D manufacturing environment. Thus, this paper focuses on creating the 3D process models (3D-PMs) based on the backward...
Radio frequency identification (RFID) technologies as an effective indoor localization solution are acquiring increasing attention for its low cost and compactness and it plays a significant role in industrial engineering. However, the location accuracy strongly relies on environment factor that will affect the signal propagation property (using by position system). To alleviate limitation imposed...
In this study, we apply the concept of lean system and the logic of Theory of Constraint to Machine tool industry which is one of the most competitive industries in Taiwan. The main objective of this study is to improve the due-date performance by using process of lean thinking and Strategy & Tactic Tree of TOC. After the lean thinking and TOC had been implemented, the efficiencies are improved...
To fulfill TDD(top-down design) strategy for efficient design of complex modular products supported by current CAD tools, building the unified information transmission mode is critical to solve the inconsistency of longitudinal strong constraints of TDD and horizontal flexibility of configuration modular products. Based on the recursive-execution and structure-evolvement of TDD and modular configuration...
The big data and cloud computing are attracting attention as a network service to share the computing resources such as networks, servers, storage, applications, and services. Also, many open source software are used in various software development because of the low cost, quick delivery, and standardization. In order to consider the interesting aspect of the big data and network traffic, a new approach...
In the process industry controlling the pH is considered to be one of the toughest tasks among the most commonly controlled variables. This is due to the nonlinear behavior of the pH and the time dependence of the nonlinearity, requiring an advanced controller. In this paper a multi-model nonlinear model predictive control (MMNMPC) scheme is applied to describe and handle the nonlinearities, were...
Clusters can be defined as regional concentrations of specialized companies and institutions connected through multiple physical and social linkages. The challenge is that there are consistently more innovations needing multiple specialized companies across national boundaries in order to continue new product development. The linkage of inter-companies has shifted by the new paradigm of ICT. At the...
This paper investigates the sourcing strategy of a buyer who faces demand uncertainty, as well as supply disruption. Under disruption, a bankruptcy at one supplier may cause collapse of other suppliers. Hence, it is important to highlight the modeling of codependence between two or more risky suppliers. If location of the suppliers is in the same geographic proximity, then one natural disaster can...
The integration of inventory and routing is a very important aspect of supply chain management. In this paper, we present a one-to-many inventory routing problem (IRP) network consisting of a manufacturer that produces multi products to be transported to many geographically dispersed customers. We consider a finite horizon where a fleet of capacitated homogeneous vehicles, housed at a depot/warehouse,...
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