Hierarchical Spare Parts Inventory Systems
Author: R. Petrović
Publisher:
Published: 1986
Total Pages: 296
ISBN-13: 9780444419637
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Hierarchical Spare Parts Inventory Systems
Author: R. Petrović
Publisher:
Published: 1986
Total Pages: 296
ISBN-13: 9780444419637
DOWNLOAD EBOOK →Spare Parts Inventory Control under System Availability Constraints
Author: Geert-Jan van Houtum
Publisher: Springer
Published: 2015-05-18
Total Pages: 227
ISBN-13: 1489976094
DOWNLOAD EBOOK →This book focuses on the tactical planning level for spare parts management. It describes a series of multi-item inventory models and presents exact and heuristic optimization methods, including greedy heuristics that work well for real, life-sized problems. The intended audience consists of graduate students, starting scholars in the field of spare parts inventory control, and spare parts planning specialists in the industry. In individual chapters the authors consider topics including: a basic single-location model; single-location models with multiple machine types and/or machine groups; the multi-location model with lateral transshipments; the classical METRIC model and its generalization to multi-indenture systems; and a single-location model with an explicit modeling of the repair capacity for failed parts and the priorities that one can set there. Various chapters of the book are used in a master course at Eindhoven University of Technology and in a PhD course of the Graduate Program Operations Management and Logistics (a Dutch network that organizes PhD courses in the field of OM&L). The required pre-knowledge consists of probability theory and basic knowledge of Markov processes and queuing theory. End-of-chapter problems appear for all chapters, with some answers appearing in an appendix.
Digitizing Production Systems
Author: Numan M. Durakbasa
Publisher: Springer Nature
Published: 2021-11-10
Total Pages: 893
ISBN-13: 3030904210
DOWNLOAD EBOOK →This book contains selected papers from International Symposium for Production Research 2021, held on October 7–9, 2021, online, Turkey. The book reports recent advances in production engineering and operations. It explores topics including production research; production management; operations management; industry 4.0; industrial engineering; mechanical engineering; engineering management; and operational research. Presenting real-life applications, case studies, and mathematical models, this book is of interest to researchers, academics, and practitioners in the field of production and operation engineering. It provides both the results of recent research and practical solutions to real-world problems.
Maintenance, Modeling and Optimization
Author: Mohamed Ben-Daya
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 481
ISBN-13: 1461543290
DOWNLOAD EBOOK →Production costs are being reduced by automation, robotics, computer-integrated manufacturing, cost reduction studies and more. These new technologies are expensive to buy, repair, and maintain. Hence, the demand on maintenance is growing and its costs are escalating. This new environment is compelling industrial maintenance organizations to make the transition from fixing broken machines to higher-level business units for securing production capacity. On the academic front, research in the area of maintenance management and engineering is receiving tremendous interest from researchers. Many papers have appeared in the literature dealing with the modeling and solution of maintenance problems using operations research (OR) and management science (MS) techniques. This area represents an opportunity for making significant contributions by the OR and MS communities. Maintenance, Modeling, and Optimization provides in one volume the latest developments in the area of maintenance modeling. Prominent scholars have contributed chapters covering a wide range of topics. We hope that this initial contribution will serve as a useful informative introduction to this field that may permit additional developments and useful directions for more research in this fast-growing area. The book is divided into six parts and contains seventeen chapters. Each chapter has been subject to review by at least two experts in the area of maintenance modeling and optimization. The first chapter provides an introduction to major maintenance modeling areas illustrated with some basic models. Part II contains five chapters dealing with maintenance planning and scheduling. Part III deals with preventive maintenance in six chapters. Part IV focuses on condition-based maintenance and contains two chapters. Part V deals with integrated production and maintenance models and contains two chapters. Part VI addresses issues related to maintenance and new technologies, and also deals with Just-in-Time (JIT) and Maintenance.
Maintenance Resource Management
Author: B. Bhadbury
Publisher: CRC Press
Published: 2003-09-02
Total Pages: 176
ISBN-13: 0203212517
DOWNLOAD EBOOK →This book is written for current and prospective users of maintenance management systems within industrial manufacturing facilities. Whilst dealing with common resource management techniques, it focuses on material requirements management, including
Taking the LEAP
Author: Dimitris Kiritsis
Publisher: Academic Press
Published: 2016-06-20
Total Pages: 214
ISBN-13: 0444637540
DOWNLOAD EBOOK →Taking the LEAP: The Methods and Tools of the Linked Engineering and Manufacturing Platform (LEAP) shows how to use the LEAP methodology to organize all product lifecycle information needed to drive engineering and manufacturing processes, and also provides knowledge exploitation solutions to support design decisions. This book not only explains in detail what LEAP is and how to use it, but also provides LEAP case studies from sectors such as auto manufacturing and offshore engineering. The intensity of competition in the global manufacturing industry has increased dramatically in the past decade, presenting challenges and opportunities to new operators and traditional centers alike. Using the latest ICT developments effectively is increasingly important in order to meet demands for mass customization, sustainability, and improved productivity. To achieve these goals, the Linked Engineering and manufacturing Platform (LEAP) was developed as an integrated information system for manufacturing design. Discusses how LEAP creates a new data environment for all stakeholders in the manufacturing industry, which will improve customization, sustainability, and productivity Devises an interoperability system to gather and coordinate digital data from machines and systems across the manufacturing supply chain Provides standards for the Internet of Things Includes case study data from companies at the cutting edge of ICT in manufacturing such as SAP, Volkswagen, and UBITECH
Advances in Production Management Systems
Author: Jan Olhager
Publisher: Springer
Published: 2007-12-24
Total Pages: 423
ISBN-13: 0387741577
DOWNLOAD EBOOK →This book brings together some of the latest thinking by leading experts from around the world on integrating systems and strategies in production management and related issues that are relevant for making production into a competitive resource for the firm. This book is composed of five parts, each focused on a specific theme: Linking systems and strategies; Strategic operations management; IS/IT applications in the value chain; Modelling and simulation; Improving operations.
Service Parts Management
Author: Nezih Altay
Publisher: Springer Science & Business Media
Published: 2011-03-24
Total Pages: 315
ISBN-13: 0857290398
DOWNLOAD EBOOK →With the pressure of time-based competition increasing, and customers demanding faster service, availability of service parts becomes a critical component of manufacturing and servicing operations. Service Parts Management first focuses on intermittent demand forecasting and then on the management of service parts inventories. It guides researchers and practitioners in finding better management solutions to their problems and is both an excellent reference for key concepts and a leading resource for further research. Demand forecasting techniques are presented for parametric and nonparametric approaches, and multi echelon cases and inventory pooling are also considered. Inventory control is examined in the continuous and periodic review cases, while the following are all examined in the context of forecasting: • error measures, • distributional assumptions, and • decision trees. Service Parts Management provides the reader with an overview and a detailed treatment of the current state of the research available on the forecasting and inventory management of items with intermittent demand. It is a comprehensive review of service parts management and provides a starting point for researchers, postgraduate students, and anyone interested in forecasting or managing inventory.
Decision Making in Service Industries
Author: Javier Faulin
Publisher: CRC Press
Published: 2012-08-08
Total Pages: 469
ISBN-13: 1439867348
DOWNLOAD EBOOK →In real-life scenarios, service management involves complex decision-making processes usually affected by random or stochastic variables. Under such uncertain conditions, the development and use of robust and flexible strategies, algorithms, and methods can provide the quantitative information necessary to make better business decisions. Decision Making in Service Industries: A Practical Approach explores the challenges that must be faced to provide intelligent strategies for efficient management and decision making that will increase your organization’s competitiveness and profitability. The book provides insight and understanding into practical and methodological issues related to decision-making processes under uncertainty in service industries. It examines current and future trends regarding how these decision-making processes can be efficiently performed for better design of service systems by using probabilistic algorithms as well as hybrid and simulation-based approaches. Traditionally, many quantitative tools have been developed to make decisions in production companies. This book explores how to use these tools for making decisions inside service industries. Thus, the authors tackle strategic, tactical, and operational problems in service companies with the help of suitable quantitative models such as heuristic and metaheuristic algorithms, simulation, or queuing theory. Generally speaking, decision making is a hard task in business fields. Making the issue more complex, most service companies’ problems are related to the uncertainty of the service demand. This book sheds light on these types of decision problems. It provides studies that demonstrate the suitability of quantitative methods to make the right decisions. Consequently, this book presents the business analytics needed to make strategic decisions in service industries.
