الصفحة 1
الصفحة 1
Warranty chain management : Digitalization and sustainability
Aims to provide a systemic viewpoint for enterprise to establish the warranty chain management system. This book includes warranty management practice, reverse logistics, product reliability engineering, data statistics and analysis, industry 4.0 and artificial intelligence, circular supply chain and sustainable design, and other basic theories and case descriptions.
Strategic Closed-Loop Supply Chain Management
Closed loops depict supply chains for which Original Equipement Manufacturer reintegrate their returned products into their own production network. While the reverse logistics research has extensively addressed the technical aspects of product reintegration, very few insights are available on whether OEMs should commit themselves to a closed-loop. The structure of the monograph is aligned to the decision-making process of Original Equipment Manufacturers willing to investigate the potential of closed-loops. This decision-making process is structured around fundamental questions managers are expected to answer prior to running a circular supply chain: Does a closed-loop fit with the corporate objectives? Is it profitable to run a closed-loop? How should OEMs deal with free-riders’ competition? Which product/technology/location setup leads to a profit-maximizing supply chain? The planning framework is finally applied to two case studies from the tire and the computer industry.
Dynamic Inventory Management in Reverse Logistics
The integration of product recovery into regular production processes enables new opportunities for cost savings. In case of a dynamic planning situation, for instance when dealing with seasonality or the product life cycle, new motives for keeping stock arise.
Markov Chains : Models, Algorithms and Applications
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order multivariate models, and higher-order hidden models. In each case, the focus is on the important kinds of applications that can be made with the class of models being considered in the current chapter. Special attention is given to numerical algorithms that can efficiently solve the models. Therefore, Markov Chains: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining, and many other practical systems.
