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Titlebook: Supply Chain Planning; Quantitative Decisio Herbert Meyr,Hans-Otto Günther Book 2009 Springer-Verlag Berlin Heidelberg 2009 Advanced Planni

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書目名稱Supply Chain Planning
副標(biāo)題Quantitative Decisio
編輯Herbert Meyr,Hans-Otto Günther
視頻videohttp://file.papertrans.cn/883/882088/882088.mp4
概述Includes supplementary material:
圖書封面Titlebook: Supply Chain Planning; Quantitative Decisio Herbert Meyr,Hans-Otto Günther Book 2009 Springer-Verlag Berlin Heidelberg 2009 Advanced Planni
描述In recent years, supply chain planning has emerged as one of the most challenging problems in the industry. As a consequence, the planning focus is shifting from the management of plant-speci?c operations to a holistic view of the various logistics and productionstages, that is an approach in which suppliers, productionplants and customers are considered as constituents of an integrated network. A major dr- ing force behind this development lies in the globalization of the world economy, which has facilitated the co-operation between different partners working together in world-wide logistics networks. Hence, considerable cost savings can be gained from optimizing the structure and the operations of complex supply networks li- ing plants, suppliers, distribution centres and customers. Consequently, to improve the performance of the entire logistic chain, more sophisticated planning systems and more effective decision support are needed. Clearly, successful applications of supply chain management have driven the development of advanced planning systems (APS), which are concerned with s- porting decision-making activities at the strategic, tactical and operational decision level. The
出版日期Book 2009
關(guān)鍵詞Advanced Planning Systems; Automotive Industry; Chemical Industry; Decision Support; Logistics; SCM; Suppl
版次1
doihttps://doi.org/10.1007/978-3-540-93775-3
isbn_softcover978-3-642-10098-7
isbn_ebook978-3-540-93775-3
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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Active demand management for substitute products through price optimisationilibrium in prices for the competing companies. The proposed algorithm is extended in order to accommodate the case of multi-product companies, each one selling a set of substitute products at different prices. The applicability of the proposed methodology is demonstrated by a number of illustrative examples.
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A framework for collaborative planning and state-of-the-artroduct or service offered to customers. In general, a supply chain faces the “problem” of information asymmetry, members having their own objectives and constraints which may be in conflict with those of the other members. Still, activities have to be aligned in such a way that the supply chain as a
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Active demand management for substitute products through price optimisationo determine optimal pricing policies as well as output levels for substitute products, while taking into consideration manufacturing costs, resource availability, customer demand elasticity, outsourcing and market competition. First, profit maximisation analytical formulae are derived for determinin
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