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Titlebook: Emerging Frontiers in Operations and Supply Chain Management; Theory and Applicati B. Vipin,C. Rajendran,Deepu Philip Book 2021 The Editor(

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書(shū)目名稱Emerging Frontiers in Operations and Supply Chain Management
副標(biāo)題Theory and Applicati
編輯B. Vipin,C. Rajendran,Deepu Philip
視頻videohttp://file.papertrans.cn/309/308257/308257.mp4
概述Includes chapters dealing with quantitative models, analytics and heuristics, qualitative models based on primary data and a simulation model to address operations and supply chain management problems
叢書(shū)名稱Asset Analytics
圖書(shū)封面Titlebook: Emerging Frontiers in Operations and Supply Chain Management; Theory and Applicati B. Vipin,C. Rajendran,Deepu Philip Book 2021 The Editor(
描述This edited book addresses the challenges in managing the operations and supply chain of organizations in the era of internet of things and Industry 4.0. It presents cutting edge research on real world operations related problems, in-depth analyses, and relevant managerial implications. Wide variety of solution approaches such as quantitative, quantitative, and simulations are presented in the context of managing the operations and supply chains. Consisting of selected papers from the XXIII Annual International Conference of Society of Operations Management, this volume is part of a two volume series with the other book consisting of chapters on quantitative decision making.?.This edited book covers various quantitative models on operations and supply chain management such as inventory optimization, machine learning-operations research integrated model for healthcare systems, game-theoretic analysis of review strategies in truthful information sharing, design of contracts insupply chains, supply chain optimization, inventory routing, and shop floor scheduling. In addition to the quantitative models, several innovative heuristics are proposed for different problems. This book explor
出版日期Book 2021
關(guān)鍵詞Operations Management; Supply Chain Management; Analytics in Operations; Sustainable Operations; Reverse
版次1
doihttps://doi.org/10.1007/978-981-16-2774-3
isbn_softcover978-981-16-2776-7
isbn_ebook978-981-16-2774-3Series ISSN 2522-5162 Series E-ISSN 2522-5170
issn_series 2522-5162
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Mathematical Models and Heuristics for an Inventory Routing Problem Without Split Deliveriesor them. A single vendor manages several retailers who face deterministic but dynamic demands. The vendor decides the delivery schedule, delivery quantities, and vehicle routes that minimize the total supply chain cost. For practical purposes, we assume that split deliveries to a retailer are not al
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A Deterministic Heuristic Algorithm to Minimize the Length of a Manufacturing Line in Transformationwith the aim of minimizing a manufacturing line length. The considered problem is a variant of the familiar stringology problem of the shortest common supersequence (SCS) which finds the shortest string length. The proposed deterministic heuristic algorithm generates seed solutions from the concaten
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A Classification Algorithm Based on Linear Regression and Linear Programming for Predicting the Breaary classification: malignant/benign) based on the number of different features with respect to tumor characteristics. We propose an algorithm to solve this classification problem. The proposed algorithm first eliminates the linear dependency between the input features and then focuses on enriching
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Green Supply Chain Management in the Indian Petroleum Industry Using AHP-VIKOR Approachesnomies, and ecosystems. Therefore, the petroleum industry has redefined its business development strategy for achieving the green sustainable goal. This study aims to identify green supply chain management practices and prioritize these to know their level of importance in petroleum industries. The
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