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Due to the fast change of globalization marketing, the shortened product life-cycle, and the uncertainty of marketing demand, enterprises have to become more agile, flexible in order to adapt to the fast change of the marketing. The SCM (Supply Chain Management) is the method to integrate the enterprise partnership of networks efficiently, the products will be produced and delivered with the right quantity to the right place at the right timing, it will help to reduce the cost of total supply chain and fulfill customer requirement with satisfaction. In past decades, the enterprises have introduced the balanced scorecard as the foundation of management system, and the method for alignment to business strategies. In this paper, through the combination of SCM practice and balanced scorecard by the Modified Delphi Method to develop the practical and effective performance indicators. The case study of this paper would take the performance indicators as the review on IDM (Integrated Device Manufacturers) company, in order to verify whether the SCM performance measurement of the company was balanced from each perspectives of the SCM balanced scorecard.

With the development of globalized and liberalized economy, the work allocate becomes more precise and the product life cycle becomes shorter. For many firms, in a changing era and intense global competition environment, effective supply chain management can help organizations to achieve competitive advantage in facing future challenge. This study was according to the Tan¡¦s (2002) research on the supply chain management (SCM) with some measures modified from the viewpoint of actuality. 206 samples were collected. The objective of this study was to derive a set of SCM practices and to identify the major concerns in implementing a successful SCM program. This study also relates the practices and concerns to firm¡¦s performance by means of correlation analysis and multiple linear regression analysis. The major findings are: (1) identified 25 items of practices and 11 items of concerns that are critical for the successful SCM. (2) supply chain integrated, supply management, and strategy planning are significant correlation with performance. (3) different position has significant perception difference in performance; customer service quality has the most significant perception difference in each demographic variables.

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Based the degree of product supplying issue, the original OEM manufacturers can be classified into three different types: original equipment manufacturer (OEM)¡Aoriginal design manufacturer (ODM), and original brand manufacturer (OBM). An OEM is a company that uses product components from one or more other companies to build the product that are sold under the customer¡¦s authorization. For the case that the OEM companies are capable to design the products, will be the ODM. Furthermore, an ODM company, which owns its brand and market channels, then it, is classified as an OBM company. Firms in Taiwan have upgraded from their original role of being OEM makers. Nowadays, lots of the domestic manufacturers have good abilities of being good OEM and ODM suppliers. Besides of OEM and ODM, some of them are shifting to being OBM¡¦s. However, unfortunately, most companies' information process can not run parallel with the changing of the roles they are. Main purpose of this study is, firstly, to provide an integrate model in information process design, and, secondly, to expand more strategic process advices for companies that intend to improve their process more efficiency and more flexibly. A case study, which is based on a selected electronic manufacturer, is used to verify the strategy model proposed in this thesis. And the results show that our model can be used to develop the framework of the information process efficiently.

Original equipment manufacture(OEM) is typically the role played by the high-tech or traditional industries in Taiwan, and is marked by highly efficient vertical supply chains where division of manufacturing function is done very well. Supply chain management could help companies to integrate their business process and information systems. Moreover, what kind of strategies needed to be adopted, and what kind of information needed to be exchanged transaction. The research issues regarding supply chain strategy and information sharing become apparently important. In the study, supply chain type and supply chain uncertainty are the two major constructs that guide our research. Convergent assembly supply network is type of supply chain selected for case study, and the automotive industry is the actual case for research. The research results indicated that information sharing is most intensive between suppliers and manufacturers. The lack of coordination between production and sale in manufacturer was resulted from supply chain uncertainty which can be addresses by the aspects of procurement, manufacturing, and demand respectively. The current supply chain strategy of manufacturer has push more inventory to its suppliers. This is due to the made-to-stock(MTS) method applied by the manufacturer. In addition, continuous flow process has occupied part of the manufacturing process for automobile production, and high uncertainty resulted from this stage often led to problems for delivery of product parts in the subsequent stages. Furthermore, demand uncertainty and mass customization requirement from the manufacturer have push suppliers to get timely sale information in order to have quick response to orders. Based on the case findings, this research suggested propositions regarding supply chain strategies and information sharing for the convergent assembly supply network. Because of relatively high procurement and demand uncertainty, the MTS production strategy should be switched to assembly-to-order(ATO). In addition, it is necessary for the manufacturer to establish stable relationship with suppliers, and incorporate them into product development process. This will help the manufacturer to achieve ATO and shorten product development time due to the notion of design for assembly and concurrent engineering. For information sharing in supply chains, the focus is upon shop floor information transparency between suppliers and the manufacturer, exchange of sale information between suppliers and distributors, and exchange of information regarding quality, management capability, product development between suppliers and the manufacturer.

This dissertation considers the problems of coordinating different supply chain inventory systems with private information under deterministic settings. These systems studied are characterized by the following properties: (a) each facility in the system has self decision-making authority, (b) cost parameters of each facility are regarded as private information that no other facilities in the system have access to, and (c) partial information is shared among the facilities. Because of the above properties, the existing approaches for systems with global information may not be applicable. Thus, new approaches for coordinating supply chain inventory systems with private information are needed. This dissertation first studies two two-echelon distribution inventory systems. Heuristics for finding the replenishment policy of each facility are developed under global information environment. In turn, the heuristics are modified to solve the problems with private information. An important characteristic of the heuristics developed for the private information environment is that they provide the same solutions as their global information counterpart. Then, more complex multi-echelon serial and assembly supply chain inventory systems with private information are studied. The solution approach decomposes the problem into separate subproblems such that the private information is divided as required. Global optimality is sought with an iterative procedure in which the subproblems negotiate the material flows between facilities. At the core of the solution procedure is a node-model that represents a facility and its corresponding private information. Using the node-model as a building block, other supply chains can be formed by linking the node-models according to the product and information flows. By computational experiments, the effect of the private information on the performance of the supply chain is tested by comparing the proposed approach against existing heuristics that utilize global information. Experimental results show that the proposed approach provides comparable results as those of the existing heuristics with global information.

<p>The future has always caught the attention of the human being. The thirst of exploring the future and to know the unknown has driven the human being toward innovativeness.</p><p>Companies are expanding their operations worldwide since the past few decades. Profit growth coupled with an effective strategy has become the primary need of global companies. Research in this area has given rise to optimization of the supply chain for higher profitability. Considering the overall strategy the company needs to plan production well in advance. The operational planning comes in picture at this moment. In order to reduce excessive inventory at each stage of the production; one should know the demand of the next stage and preferably the end customer demand. The process of sales forecasting is undertaken to predict demand at different stages. It is a complex managerial function and hence needed to be undertaken by a scientific way. The sales forecasting the function includes process of forecasting, administration, hardware, software, users and developers of forecast.</p><p>Historically sales forecasting has been considered as a side activity by most of the companies. Sales forecasting has not been considered as an important function of marketing and finance. Very few companies have seen sales forecasting by a scientific management point of view. Less research has been reported in sales forecasting in comparison to other managerial functions. Planning based on sales forecasting; may be part of a selected strategy for growth and profitability. These facts have attracted us to study sales forecasting as a managerial function.</p><p>The purpose of this study is to describe and analyze the sales forecasting process, sales forecasting system, sales forecasting methods and techniques. Further proposing possibilities of improvements in existing forecasting process is also purpose of this study.</p><p>We have selected three manufacturing companies for this study based on purposive sampling. Considering research interest in phenomenon study; we have selected a qualitative research strategy for this study. We have selected a case study method for our research as it is the most appropriate tool to study the relation between theory and phenomenon. For this research, we have collected the data by semistructured interviews based on a pre formed questionnaire. The questionnaire has been prepared with respect to our research purpose and open ended questions were used to gather extensive data. The data gathered during interviews, have been analyzed by the use of ‘Flow model’ suggested by Miles and Huberman (1994).</p><p>Results from this study shows that there is a need to see ‘sales forecasting’ as a management function rather than a computer activity. To achieve the best information integration throughout the supply chain, increased information visibility is needed. To achieve accuracy in both forecasting and planning; collaborative forecasting may be used. Forecasting software needs to have a suite of methods towards product specific forecasting. The need of customized softwares has also been indicated by this study. The need to measure performance of forecasting by means of accuracy, cost and customer relationship has been concluded.</p>

Universiẗat, Diss.--St. Gallen, 2005.

Zugl.: Dortmund, Techn. Univ., Diss., 2009