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Academic literature on the topic 'Equipment Decisions'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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Journal articles on the topic "Equipment Decisions"

Tanchoco, J. M. A. "Equipment replacement decisions." Engineering Costs and Production Economics 11, no. 2 (1987): 67. http://dx.doi.org/10.1016/0167-188x(87)90012-7.

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Tanchoco, J. M. A. "Equipment replacement decisions." Engineering Costs and Production Economics 11, no. 1 (1987): 67. http://dx.doi.org/10.1016/0167-188x(87)90029-2.

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McConnell, Charles R. "The Manager and Equipment Decisions." Health Care Manager 30, no. 4 (2011): 361–71. http://dx.doi.org/10.1097/hcm.0b013e31823518fa.

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Sullivan, William G., Thomas N. McDonald, and Eileen M. Van Aken. "Equipment replacement decisions and lean manufacturing." Robotics and Computer-Integrated Manufacturing 18, no. 3-4 (2002): 255–65. http://dx.doi.org/10.1016/s0736-5845(02)00016-9.

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Cao, Xiangang, Pengfei Li, and Song Ming. "Remaining Useful Life Prediction-Based Maintenance Decision Model for Stochastic Deterioration Equipment under Data-Driven." Sustainability 13, no. 15 (2021): 8548. http://dx.doi.org/10.3390/su13158548.

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Currently, the Remaining Useful Life (RUL) prediction accuracy of stochastic deterioration equipment is low. Existing researches did not consider the impact of imperfect maintenance on equipment degradation and maintenance decisions. Therefore, this paper proposed a remaining useful life prediction-based maintenance decision model under data-driven to extend equipment life, promoting sustainable development. The stochastic degradation model was established based on the nonlinear Wiener process. A combination of real-time update and offline estimation estimated the degradation model’s parameter

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Taghipour, S., D. Banjevic, and A. K. S. Jardine. "Prioritization of medical equipment for maintenance decisions." Journal of the Operational Research Society 62, no. 9 (2011): 1666–87. http://dx.doi.org/10.1057/jors.2010.106.

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Khan, Zeenath Reza. "The Dubai tennis ball machine." Emerald Emerging Markets Case Studies 1, no. 1 (2011): 1–3. http://dx.doi.org/10.1108/20450621111110366.

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Subject area Ethics in IT, community informatics, management. Study level/applicability Undergraduate and postgraduate information technology and citizens' rights, strategic decision making. Case overview This case spotlights Athlete Sports in Dubai, United Arab Emirates (UAE). It focuses on the malfunction of the company's equipment that is rented from ABC Sports Equipment. Athlete Sports has been in the UAE over a decade and has positioned itself fairly at the top due to its qualified coaches and quality of facilities it provides. The case highlights the company's transition from owning equi

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Shi, Lu, and Xin Ma. "Strategy Analysis of Closed Loop Supply Chain for Scrapped Medical Equipment Based on Hybrid Recycling Model." Advanced Materials Research 219-220 (March 2011): 722–26. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.722.

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The decision models of closed loop supply chain for scrapped medical equipment that is composed of one medical equipment manufacturer and one medical equipment retailer with product remanufacturing under hybrid recycle strategy was built. The whole-sale price and transfer recycling price were considered as the decision-making variables of the medical equipment manufacturer, and the recycling price as the decision-making variable of the party undertaking the recycling effort. The optimal pricing and the optimal profit were obtained and the optimal decisions of the manufacturer were analyzed on

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Salam, Riyan Ikhbal, and Sarjon Defit. "Penentuan Tingkat Kerusakan Peralatan Labor Komputer Menggunakan Data Mining Rough Set." Jurnal Sistim Informasi dan Teknologi 1, no. 4 (2019): 37–42. http://dx.doi.org/10.35134/jsisfotek.v1i4.13.

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Equitments of computer laboratory have a function as an important tools in supporting pratical lecturing. These facilitiesshould always be on a condition like ready are proper to use both computers and others. To avoid equipment detriment, it is necessary to do early identification in which prevent the worse condition of equitments. The method use in this study is roughset method wich consists several stages such as Decision System, Equivalence Class, Discernibility Matrix, DiscernibilityMatrix Modulo D, Reduction, and Generate Rules. From this study, it was found that 14 rules in making decis

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Lau, Lisa, Brian Vargo, and Izabella Gieras. "Improving Equipment Purchasing Decisions Through Human Factors Engineering." Biomedical Instrumentation & Technology 42, no. 2 (2008): 115–17. http://dx.doi.org/10.2345/0899-8205(2008)42[115:iepdrh]2.0.co;2.

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Dissertations / Theses on the topic "Equipment Decisions"

Pekin, Nilufer. "Multi Criteria Assembly Line Balancing Problem With Equipment Decisions." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607084/index.pdf.

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In this thesis, we develop an exact algorithm for an assembly line balancing problem with equipment selection decisions. Two objectives are considered: minimizing the total equipment costs and the number of workstations. Our aim is to choose the type of the equipment(s) in every workstation and determine the assignment of the tasks to each workstation and equipment type. We aim to propose a set of efficient solutions for each problem and leave the choice of the best solution to the decision maker&rsquo s preferences. A branch and bound algorithm is developed whose efficiency is increased wi

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Mak, Sek-man Leo. "Replacement decisions of production assets : an optimization approach /." [Hong Kong] : University of Hong Kong, 1986. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12324000.

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麥錫民 and Sek-man Leo Mak. "Replacement decisions of production assets: an optimization approach." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1986. http://hub.hku.hk/bib/B31263860.

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Al-Abiyad, Shala Abulgacem. "Managing property, plant and equipment factors affecting decisions about their replacement in Libyan manufacturing companies." Thesis, Edinburgh Napier University, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.506347.

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Hjerm, Oscar, and Felix Drangel. "Underlying motives affecting an original equipment manufacturer’s make-or-buy decisions in the reverse-flow of electric vehicle batteries." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21967.

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Background: Electric vehicles have been getting increasing attention due to their possibility to deliver multiple environmental, social, and health benefits. This has started a technological shift from the traditional combustion engine towards electric vehicle batteries. Because the inherited value in reverse- flow batteries is high, aftermarket activities such as remanufacturing, repurposing, and recycling become increasingly important to take part in value-added margins. However, these activities battery manufacturing have not historically been a core business of the automotive industry. In

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Garrard, David L. "An analysis of the General Services Administration Board of Contract Appeals bid protest decisions and the effect of automated data processing equipment/federal information." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/27960.

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Farrar, Jonathan P., and John P. Lloyd. "Fully Burdened Cost Of Retrograde, redeployment, reconstitution, and reset and analysis of alternatives (FBCR4 & AoA) new model to formulate strategic Decisions For Deployed Ground Vehicle Equipment." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/27828.

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Outstanding Thesis Approved for public release; distribution is unlimited The retrograde cost for Afghanistan is complex and involves many uncertainties, yet is a part of military operations when nations go to war. This thesis introduces the fully burdened cost of retrograde, redeployment, reconstitution, and reset and analysis of alternatives (FBCR4 & AoA) as an estimating tool that can be used to analyze many of the different variables included in bringing equipment home. The tool can be tailored for future major retrogrades. The distinctive characteristic of this tool, in comparison t

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Cohen, Gavin. "Equipment replacement decision making in the mining industry." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52260.

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Thesis (MBA)--Stellenbosch University, 2001. Some digitised pages may appear illegible due to the condition of the original hard copy ENGLISH ABSTRACT: The decision to make equipment replacements has a major influence on the competitiveness of any business. A company like Iscor recently spent approximately one billion Rand to modernise its fleet of equipment at various centres. This report presents a holistic approach to the issue of equipment replacement decision-making. It contends that equipment replacement decisions are not isolated incidents that occur by chance. In fact, the

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Reasor, Roderick. "A decision support system for integrated design analysis of a repairable item and it's logistic support system." Diss., This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-07102007-142510/.

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Yang, Qi. "Remanufacturing Versus New Acquisition of Production Equipment: Definitions and Decision-making Checklist." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-27276.

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With technology changing at a dramatic pace, entrepreneurs may assume that acquiring the newest production equipment available is the best option. But that is not always the case. It is important to first assess the needs in order to decide whether new or remanufactured production equipment is the best alternative. Investment on production equipment can be initiated due to existing equipment cannot handle capacity; products evolve and changes needed to meet market requirement; to continuously improve production system; or the general requirements for quality, environment, economy and safety. H

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Books on the topic "Equipment Decisions"

Campbell, John D. Asset management excellence: Optimizing equipment life-cycle decisions. 2nd ed. CRC Press, 2010.

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Bruce, Newsome, and Lewis Matthew W, eds. Commonality in military equipment: A framework to improve acquisition decisions. RAND Corp., 2008.

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Handbook of equipment leasing: A deal maker's guide. AMACOM, 1989.

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Handbook of equipment leasing: A deal maker's guide. 2nd ed. American Management Association, 1996.

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Klier, Thomas H. Comparing location decisions of domestic and foreign auto supplier plants. Federal Reserve Bank of Chicago, 2004.

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Schallheim, James S. Lease or buy?: Principles for sound decision making. Harvard Business School Press, 1994.

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1949-, Camm Frank A., Hanks Christopher H, Rand Corporation, Project Air Force (U.S.), and United States Air Force, eds. Sourcing decisions for Air Force support services: Current and historical patterns. Rand, 1997.

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McMenamin, J. S. Models of commercial sector equipment and fuel decisions for the COMMEND code: Framework design and data development plan. The Institute, 1987.

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Drew, John G. Enabling early sustainment decisions: Application to F-35 depot-level maintenance. RAND Corporation, 2013.

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Grant, Richard. Asset finance and leasing handbook. Woodhead-Faulkner, 1992.

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Book chapters on the topic "Equipment Decisions"

Hastings, Nicholas Anthony John. "Equipment Replacement Decisions." In Physical Asset Management. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14777-2_26.

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Hastings, Nicholas Anthony John. "Equipment Replacement Decisions." In Physical Asset Management. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62836-9_26.

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Jardine, Andrew K. S., and Albert H. C. Tsang. "Capital Equipment Replacement Decisions." In Maintenance, Replacement, and Reliability, 3rd ed. CRC Press, 2021. http://dx.doi.org/10.1201/9780429021565-4.

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Ruegg, Rosalie T., and Harold E. Marshall. "Decisions on Timing of Equipment Replacements." In Building Economics: Theory and Practice. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4757-4688-4_25.

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Amaral, Deborah A. L., Dean W. Boyd, David Cohan, Michael S. Hohnson, and Donald S. Wilson. "Managing Economic Risks Due to Electrical Equipment Containing PCBs: Analytical Tools to Support Utility Decisions." In Risk Assessment and Management. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4757-6443-7_5.

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Stark, John. "Facilities and Equipment." In Decision Engineering. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-546-0_13.

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Iordache, Octavian. "Equipments." In Studies in Systems, Decision and Control. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75630-7_4.

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Burt, Christina N., Louis Caccetta, Palitha Welgama, and Leon Fouché. "Single Location Equipment Selection." In Studies in Systems, Decision and Control. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76255-5_6.

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Burt, Christina N., Louis Caccetta, Leon Fouché, and Palitha Welgama. "Multiple Locations Equipment Selection." In Studies in Systems, Decision and Control. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76255-5_7.

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Burt, Christina N., Louis Caccetta, and Yao-ban Chan. "Utilisation-Based Equipment Selection." In Studies in Systems, Decision and Control. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76255-5_8.

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Conference papers on the topic "Equipment Decisions"

Celen, Merve, and Dragan Djurdjanovic. "Joint Maintenance and Production Operations Decision Making in Flexible Manufacturing Systems." In ASME 2012 International Manufacturing Science and Engineering Conference collocated with the 40th North American Manufacturing Research Conference and in participation with the International Conference on Tribology Materials and Processing. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/msec2012-7258.

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In highly flexible and integrated manufacturing systems such as those in semiconductor manufacturing, there exist strong dynamic interactions between the equipment condition, operations executed on the equipment and the resulting product quality. These interactions necessitate a methodology that integrates the decisions of maintenance scheduling and production operations. Currently, maintenance and production operations decision-making are two decoupled processes. In this paper we aim to devise an integrated decision making policy for maintenance scheduling and production sequencing with the o

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Shu, Shao-gan, and Xiao-song LI. "Multi-Attribute Three-Stage Procurement Model for Equipment Vendor Selection Decisions." In 2015 International Conference on Automation, Mechanical Control and Computational Engineering. Atlantis Press, 2015. http://dx.doi.org/10.2991/amcce-15.2015.269.

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Zavadskas, E. K., and E. R. Vaidogas. "Managerial decisions about alternative automatic equipment for disaster management in construction." In The 25th International Symposium on Automation and Robotics in Construction. Vilnius Gediminas Technical University Publishing House Technika, 2008. http://dx.doi.org/10.3846/isarc.20080626.737.

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Zavadskas, Edmundas K., and Egidijus R. Vaidogas. "Managerial Decisions about Alternative Automatic Equipment for Disaster Management in Construction." In 25th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2008. http://dx.doi.org/10.22260/isarc2008/0107.

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Van Hardeveld, Thomas. "Risk-Based Management of Rotating Equipment." In 2000 3rd International Pipeline Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/ipc2000-271.

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There is increasing emphasis on improving the effectiveness of all physical assets, particularly major assets such as rotating equipment where the financial and business consequences of failure are significant. A number of approaches to asset (or maintenance) management have been proposed and attempted with varying degrees of success. Maintenance philosophies such as Total Productive Maintenance, Condition-Based Maintenance and Reliability Centered Maintenance are being heavily promoted by users and consultants alike. However, a consistent and comprehensive solution to business needs has not a

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Poulassichidis, Tony. "Risk-Based Inspection as a Reliability-Engineering Tool for Fixed Equipment Decisions." In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-3019.

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Risk Based Inspection (RBI) results in calculating a risk value for each piece of plant fixed-equipment. Usually RBI implementation results in fixed-equipment inspection program modification. Inspection is specified for equipment items that exceed Owner acceptable risk criteria while it is waived for equipment that is below acceptable risk levels. In RBI analysis, equipment risk value consists of a Likelihood-of-Failure (LOF) and a Consequence-of-Failure (COF) element. Furthermore LOF value is the sum of different equipment damage mechanisms (internal corrosion, external corrosion and cracking

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Safonova, Irina, Elizaveta Dmitrieva, Boris Zhelenkov, and Yakov Goldovsky. "Taking Project Decisions in Computer Aided Design of Electronic Computing Equipment Modules." In 2019 International Seminar on Electron Devices Design and Production (SED). IEEE, 2019. http://dx.doi.org/10.1109/sed.2019.8798470.

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Paraschos, Spyridon, Ioannis Mollas, Nick Bassiliades, and Grigorios Tsoumakas. "VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/713.

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The use of machine learning rapidly increases in high-risk scenarios where decisions are required, for example in healthcare or industrial monitoring equipment. In crucial situations, a model that can offer meaningful explanations of its decision-making is essential. In industrial facilities, the equipment's well-timed maintenance is vital to ensure continuous operation to prevent money loss. Using machine learning, predictive and prescriptive maintenance attempt to anticipate and prevent eventual system failures. This paper introduces a visualisation tool incorporating interpretations to disp

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Wurzbach, Richard N. "Developing Predictive Maintenance Expertise to Improve Plant Equipment Reliability." In 10th International Conference on Nuclear Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/icone10-22032.

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On-line equipment condition monitoring is a critical component of the world-class production and safety histories of many successful nuclear plant operators. From addressing availability and operability concerns of nuclear safety-related equipment to increasing profitability through support system reliability and reduced maintenance costs, Predictive Maintenance programs have increasingly become a vital contribution to the maintenance and operation decisions of nuclear facilities. In recent years, significant advancements have been made in the quality and portability of many of the instruments

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Kashiwase, Shoichi, Kenji Osaki, Makoto Hatakeyama, and Tomokazu Kaneko. "Simulation for Predicting Condition of Plant Equipment." In 2020 International Conference on Nuclear Engineering collocated with the ASME 2020 Power Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icone2020-16840.

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Abstract Condition-based maintenance (CBM) is a maintenance program that recommends maintenance decisions based on maintenance information by condition monitoring. To apply CBM to industrial systems, it is important to diagnose condition of equipment appropriately based on the knowledge of abnormal condition of the equipment. In nuclear power plant, however, it is quite difficult to obtain the knowledge of abnormal condition. For this reason, simulation is expected to be an effective approach to estimate conditions of equipment instead of data acquisition. In this study, we focused on and buil

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Reports on the topic "Equipment Decisions"

Author, Not Given. Benzene emissions from coke by-product recovery plants, benzene storage vessels, equipment leaks, and ethylbenzene/styrene process vents: Background information and responses to technical comments for 1989 final decisions. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5603661.

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Smith, Timothy S., and Garry A. Wolfrum. Making The Decision: Pollution Prevention (P2) Equipment Evaluation, Procurement, Implementation and Monitoring. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada350676.

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Ebadian, M. A., and L. E. Lagos. Decision Analysis Science Modeling for Application and Fielding Selection Applied to Equipment Dismantlement Technologies. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/850.

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M.A. Ebadian, Ph D. DECISION ANALYSIS SCIENCE MODELING FOR APPLICATION AND FIELDING SELECTION APPLIED TO EQUIPMENT DISMANTLEMENT TECHNOLOGIES. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/772499.

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Clemens, Richard A., Kristina K. Griffin, James W. Grooms, and III. U.S. Marine Corps Equipment Readiness Information Tool: Usage and Decision-Support for Performance Based Logistics. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada429300.

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BOGER, R. M. Decision document for the Storage and Maintenance activities of Characterization Long Length Contaminated Equipment Removal System. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/797500.

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Ball, Jeanne M. Decision Paper for the Disposition of FS-65 Shipping Containers, Support Equipment, and Mixed Oxide (MOX) Material Contents (Rev. 1.1). Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1054241.

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Ball, Jeanne M. Decision Paper for the Disposition of FS-65 Shippiing Containers, Support Equipment, and Mixed Oxide (MOX) Material Contents (Rev. 1.2). Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1054245.

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Fuerst, Michael J., Donald K. Hicks, and Robert D. Neathammer. Framework for Developing an Expert System-Based Decision Support System for Managing U.S. Army Directorates of Engineering and Housing Equipment Fleets. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada230722.

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Seale, Maria, Natàlia Garcia-Reyero, R. Salter, and Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41282.

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Prognostics and health management (PHM) frameworks are widely used in engineered systems, such as manufacturing equipment, aircraft, and vehicles, to improve reliability, maintainability, and safety. Prognostic information for impending failures and remaining useful life is essential to inform decision-making by enabling cost versus risk estimates of maintenance actions. These estimates are generally provided by physics-based or data-driven models developed on historical information. Although current models provide some predictive capabilities, the ability to represent individualized dynamic f

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