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Knowledge process is the core process in new product development, and is also an organizational learning process which is affected by learning environment. In this paper, an empirical research was conducted to explore the mechanism and paths of the interaction among learning environment, knowledge process and new product development performance. The findings indicate that the learning environment...
Multiple Attribute Decision Making (MADM) is an important part of decision science which helps us to select a preferred alternative among many alternatives which are compared with conflicting criteria. So, many solution approaches have been introduced such as permutation method; Interactive Simple Additive Weighting Method (ISAW) an etc. The time of the solution is sensitive to the size of the problem...
For many years, total quality management, concurrent engineering and knowledge management have won considerable attention from industrial practitioners and academia. However, few studies have been conducted on the influence of these three practices among Malaysian manufacturing firms. Hence, the objective of this study is to analyse the influence of TQM, CE and KM on engineering performance in a Malaysian...
Since network analysis has been a formal topic in Operations Research as well as in Reliability, researchers may need to validate their models or theories with large scale feasible graphs for test. This paper proposes an algorithm to generate a large scale undirected capacitated/uncapacitated graph for applications. Conventionally, NETGEN is employed for such purposes. But this program is about 30...
In the present paper, fuzzy-scale-based multiple attribute decision making (MADM-TOPSIS) method has been reported to rank five different alternative finishing processes for an internal cylindrical surface through systematic multi-attribute based evaluation. The mathematical procedure yields a suitability index which is used to rank finishing processes. The present TOPSIS-MADM method indicates that...
Queuing research and its applications have been studied extensively by concentrating mainly on design, performance and running of the service facility under study. In this paper we show how a simple behavioral queuing system can be modeled using a Cellular Automata; and then we show how a Genetic Algorithm can be used to optimize the behavioral properties of this agent based model.
Commercial banks provide financial services to enterprises, especially to small and medium enterprises (SME) in supply chain, to decrease transaction costs, to simplify the process of property shift, to create liquidity and to make settlements. Thus, the banks need scientific methods to choose proper SME to corporate with. This article creates a comprehensive evaluation index system from five aspects:...
This research examines the pricing and capacity utilization decisions facing a BTO manufacturing firm serving customers that are segmented by different lead-times. We model the firm's operation as an M/M/1 queue and treat the demand of each segment as being linear in price. We characterize the optimal decisions and present numerical examples to validate the benefits of applying RM in BTO manufacturing...
As it is not enough to assess the integral reliability of the complex 3D high arch dam-foundation system just from local damage in the deterministic analysis, the improved response surface method is firstly introduced to get the failure possibility of individual uncertain factor, and then PNET method to fix the integral reliability considering several uncertain factors. Then the main works are presented...
This manuscript introduces the concept of game options pricing model to build an approach by the decision analysis to create a bi-national market and two firm's competitive market entry behavior. The production system, market entry, and marketing strategy will face high risk uncertainty in the future; the flexible management value derived from decision-making is not only made now, but may be also...
Six-sigma methodology provides real and concrete results in healthcare systems by mitigating and eliminating variations in critical processes. However, using Six-sigma alone in complex environments can lead to unproductive and inefficient work due to a misunderstanding of the process interactions. Combination of both business process modeling and six-sigma helps achieve a highly reliable, customer-oriented...
In this paper, a heuristic algorithm which embedded in the Lagrangian relaxation algorithm is proposed to obtain the near optimal solution to minimize the total weighted complete time in the Hybrid flow shop problem (HFS). Compared with the original precedence capacity relaxation algorithm proposed by Tang et al., our algorithm can produce a better solution in most cases.
Sequencing mixed-model assembly lines is a well researched topic in literature. However, many methods which were developed to solve this problem fail to cope with either the large size or specific characteristics of real-life instances. In this paper, an efficient heuristic is proposed which is able to handle large and supposedly difficult problem instances. Test scenarios considering real-life aspects...
This paper deals with a framework that combines the complementary features of Activity-Based Costing (ABC) and Time-Driven Activity-Based Costing (TDABC). The framework or Standard Activity Measurement Plan is anchored on computing unit cost given the required minimum resources for a particular activity. The activity unit cost is standard and fixed for a certain period until such time significant...
A behavioral strategy designed for a humanoid robot for the purpose of obstacle avoidance based on four ultrasonic sensors for the learning behavior and performance is proposed and implemented with an autonomous humanoid robot. A mechanical structure with 4 degrees of freedom is designed so that a small-size humanoid robot named ARSR is able to accomplish three types of walking motion. One experiment...
The aim of this paper is to present a new robust feature extraction method. Our method is an extension of the classical Partial Least Squares (PLS) algorithm. However, a robust approach and new weighted separation criterion is applied. This algorithm based on Minimum Covariance Determinant (MCD) approach and new separation criterion called Weighted Criterion of Difference Scatter Matrices (WCDSM)...
The modern, particularly competitive and demanding operational environment has led many companies to a continuous effort for implementing techniques and evaluating alternative production scenarios, which will allow them to optimize their production processes and reduce their cost. In this study, a consumer goods manufacturing company was selected to implement modern optimization techniques in its...
The continuous operation mode of high equilibrium in the flow construction yields great benefits in lowering the cost and reducing the construction period as well as risks. The change of the construction period of any sub-construction will definitely exert a relatively great impact on the balanced construction of the project. Through the analysis of Monte Carlo simulation method (MC), the assurance...
Numerous studies conducted on the information technology (IT) acceptance specifically in developing and less-developed countries indicates the importance of acceptance as a substantial stage in the process of IT implementation. Perceiving problems, opportunities, threats and fundamentals makes this process more convenient. Considering numerous researches in the field of IT acceptance, this study provides...
In order to investigate the graded properties of convex fuzzy sets, from the viewpoint of fuzzy logic, in this paper, we introduce the notions of (λ,T)-convex fuzzy set, (λ,T)-strong convex fuzzy set, (λ,T)-strictly convex fuzzy set based on t-norm based fuzzy logic. The relations among these convex fuzzy sets is characterized.
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