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Responsible Manufacturing: Issues Pertaining to Sustainability by Ammar Y. Alqah
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Oggetto che si trova a: Fairfield, Ohio, Stati Uniti
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Numero oggetto eBay:388739756543
Specifiche dell'oggetto
- Condizione
- ISBN-13
- 9780815375074
- Book Title
- Responsible Manufacturing
- ISBN
- 9780815375074
Informazioni su questo prodotto
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
0815375077
ISBN-13
9780815375074
eBay Product ID (ePID)
13038540991
Product Key Features
Number of Pages
376 Pages
Publication Name
Responsible Manufacturing
Language
English
Publication Year
2019
Subject
Environmental Science (See Also Chemistry / Environmental), Purchasing & Buying, Industrial Management, Operations Research, Manufacturing
Type
Textbook
Subject Area
Technology & Engineering, Science, Business & Economics
Format
Hardcover
Dimensions
Item Height
1.2 in
Item Length
9.3 in
Item Width
6.4 in
Additional Product Features
Intended Audience
College Audience
LCCN
2018-042683
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
670.4
Table Of Content
Responsible Textile Design and Manufacturing: Environmentally Conscious Material Selection. An Integrated Design for Remanufacturing Approach. Effects of Product Designs on End-of-Life Product Recovery under Uncertainty. Integrated Forward-Reverse Logistics Network Design: An Application on the Electrolytic Copper Conductor Reel Distribution. A Holistic Grey-MCDM Approach for Green Supplier Elicitation in Responsible Manufacturing. Categorical and Mathematical Comparisons of Assembly and Disassembly Lines. Environmentally Friendly and Economical Disassembly Parts Selection for Material Recycling by Goal Programming. Modelling Uncertainty in Remanufacturing. Impact of Buffer Size and Remanufacturing Uncertainties on the Hybrid System Performance Measures. A Manufacturing-Remanufacturing System with Cannibalization and Market Expansion Effects. Warranty Fraud in a Remanufacturing Environment. Price Models for New and Remanufactured High Technology Products across Generations. Applicability of using the Internet of Things in Warranty Analysis for Product Recovery. A Supplier Selection Model for End-of-Life Product Recovery: An Industry 4.0 Perspective. Contribution of Sensors to Closed-Loop Supply Chains: A Simulation Study of Sensor-Embedded Washing Machines. Prediction of the Efficiency of a Collection Center in a Reverse Supply Chain, using Logistic Regression.
Synopsis
Responsible Manufacturing has become an obligation to the environment and to society itself, enforced primarily by customer perspective and governmental regulations on environmental issues. This is mainly driven by the escalating deterioration of the environment, such as diminishing raw material resources, overflowing waste sites, and increasing levels of pollution. Responsible Manufacturing related issues have found a large following in industry and academia, which aim to find solutions to the problems that arise in this newly emerged research area. Problems are widespread, including the ones related to the lifecycle of products, disassembly, material recovery, remanufacturing, and pollution prevention. Organized into sixteen chapters, this book provides a foundation for academicians and practitioners, and addresses several important issues faced by strategic, tactical, and operation planners of Responsible Manufacturing. Using efficient models in a variety of decision-making situations, it provides easy-to-use mathematical and/or simulation modeling-based solution methodologies for the majority of the issues. Features Addresses a variety of state-of-the-art issues in Responsible Manufacturing Highlights how popular industrial engineering and operations research techniques can be effectively exploited to find the most effective solutions to problems Presents how a specific issue can be approached or modeled in a given decision-making situation Covers strategic, tactical, and operational systems issues Provides a foundation for academicians and practitioners interested in building bodies of knowledge in this new and fast-growing area
LC Classification Number
TS155.7.R47 2019
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