Due to environmental change in market, delivery satisfaction to customer end redaction of LeadTime are critical In the Make-to-Order manufacturing system. This paper focuses on Order Feasibility Decision System Based on SNS System. We suggest BOP (Bill of Process) in which aggregated information is used When the load p1anning problem is solved while more detailed information is used when the scheduling problem is solved.

To cope with the rapid emergence of competition, communication service providers are assigning marketers for the purpose of relationship marketing. However, the efficiency of relationship marketing has yet to be examined. This paper investigates the service quality determinants In relationship marketing through the telecommunication service marketers. By considering the specificity of the marketer´s role, the quality dimensions in SERVQUAL research have been modified. A survey has been conducted for the hypothesized seven quality dimensions. The results of the factor analysis show that the service quality determinants of relationship marketing are in fact four dimensions : empathy, reliability, image and tangibles. Here, the empathy dimension entails cost factor, and the reliability dimension includes responsiveness and assurance. The results also support the proposition, reported in SIRVPIRF research, that the quality of service should be measured only by the perceived achievement of the customer. This study provides useful insights into developing the strategy for effective relationship marketing.

The well-known back-propagation algorithm for multi-layered neural network has successfully been applied to pattern c1assification problems with remarkable flexibility. Recently. the multi-layered neural network is used as a powerful data mining tool. Nevertheless, in many cases with complex boundary of classification, the successful learning is not guaranteed and the problems of long learning time and local minimum attraction restrict the field application. In this paper, an Improved learning procedure of multi-layered neural network is proposed. The procedure is based on the generalized delta rule but it is particular in the point that the architecture of network is not fixed but enlarged during learning. That is, the number of hidden nodes or hidden layers are increased to help finding the classification boundary and such procedure is controlled by entropy evaluation. The learning speed and the pattern classification performance are analyzed and compared with the back-propagation algorithm.

This Paper deals with a collaborative decision making procedure of web-based DSS for supply chain management (SCM). The seemingly autonomous DSS dedicated to each of mutually exclusive prob1em domains forms a communication network and cooperates each other for better SCM decision making. We a1so propose a hub-spoke information sharing model for the DSS network. In the hub-spoke model, an information hub at the center facilitates information exchange between DSS\\`s and controls the conversations defined by the series of XML messages between agents of DSS. A product ordering scenario where supply decision is triggered upon customer order is used to demonstrate the SCM decision procedure through a collaboration of the web-based DSS.

This paper presents a decision support system (DSS) for selecting the best delivery policy at an internet general shopping mall with its own distribution center and many outside enterprises linked up with the mall. The DSS provides the decision maker with the performance information of three delivery policies (individual delivery, collective delivery, mixed delivery) for the given service level, customer order pattern, direct/indirect delivery ratio, unit costs of various delivery modes, upper level of goods characteristic index for collective delivery poller, etc. Furthermore, the DSS allows the decision maker to perform the sensitivity analyses of three delivery policies for their major parameters and unit costs of delivery modes. The DSS is developed with AweSim simulation 1anguage and Visual Basic programming 1anguage.

Recently increasing amount of efforts has been devoted to the improvement of logistics in the marine products industry. Yet, few studios have been conducted on the development of site selection models of marine products centers. This paper Proposes a systematic assessment model for the decision making, which is composed of a set of evaluation criteria and an appropriate evaluation method. In choosing criteria we consider completeness and comprehensiveness to reach a right solution. For more flexibility of the model in the future, this study proposes two sets of criteria according to the size of planned centers. The Analytic Hierarchy Process (AHP) is adopted in this study, since the criteria incorporate both subjective factors and objective factors and the AHP is known effective in the situation. This study then illustrates the model application with plausible alternatives. Finally, a dependency problem in the decision criteria is discussed and the Analytic Network Process (ANP) is recommended, in the context, as e solution method.

Mobility of service users makes Registration and Paging (R/P) procedures indispensable features in mobile communication networks. Importance of optimizing the configuration of R/P areas has been increased by the growth of R/P related signaling. Given the network topology (cell locations and adjacency between them) and R/P related traffics generated by each cell, we deal with the problem of finding optimal R/P areas minimizing the amount of R/P related signalling while the constraints on paging channel capacity and network configurations are satisfied.

For the airplane manufacturing industry, to decide the sloe of developing airplane is very important because it affect the developing costs, the type of production industry like national independence production or international cooperation production, etc.. And the decision must be made by the base of national aviation industry, status of technology, economic factors and national and international demand, etc. This paper was studied to present a model for the application of AHP to the decision of optimum size of Korean developing airliner. For this study, a questionnaire was developed In respect to the criteria of developing airliner and given to 50 of professors, researchers and experts who participated in this part. The AHP software developed by Korean Advanced Institute of Science Technology (KAIST) was used to analyze the data.

In the ring leading problem with demand splitting, traffic demands are given for each pair of nodes in an undirected ring network and a flow is routed in either of the two directions, clockwise and counter-clockwise. The load of a link is the sum of the flows routed through the link and the objective of the problem is to minimize the maximum link load on the ring. Recently, four different optimal a1gorithms have been developed for solving the problem. In this paper, we compare those algorithms in a single framework and conduct a computational study to evaluate the practical performance of those algorithms.

This paper presents a machining parameter selection approach using an evolutionary computation (EC). In order to perform a successful material cutting process, the engineer is to select suitable machining parameters. Until now, it has been mostly done by the handbook look-up or solving optimization equations which is inconvenient when not in handy. The main thrust of the paper is to provide a handy machining parameter selection approach. The EC is applied to rapidly find optimal machining parameters for the user\\`s specific machining conditions. The EC is basically a combination of genetic a1gorithm and microcanonical stochastic simulated annealing method. The approach is described in detail with an application example. The paper concludes with a discussion on the potential of the proposed approach.

This paper is concerned with the development of a GIS-based distribution system with service consideration. The proposed model could be used for a wide range of logistics applications in planning, engineering and operational purpose for logistics system. This research addresses the formulation of those complex prob1ems of two-echelon logistics system to plan the incorporating supply center locations and distribution problems based on GIS. We propose an integrated logistics model for determining the optimal patterns of supply centers and inventory allocations (customers) with a three-step sequential approach. 1) First step, Developing GIS-distance model and stochastic set-covering program to determine Optimel pattern of supply center location. 2) Second step, Optimal sector-clustering to support customers. 3) Third step, Optimal vehicle rouse scheduling based on GIS, GIS-VRP In this research we developed GUI-tree program, the GIS-VRP provide the vehicle to users and freight information in real time. We applied a set of sample examples to this model and demonstrated samp1e results. It has been found that the proposed model is potentially efficient and useful in solving multi-depot problem through examples. However the proposed model can provide logistics decision makers to get the best supply schedule.