Spare parts expense management system [semiconductor manufacturing]

2003 ◽  
Author(s):  
D. Yao ◽  
C. Blouin ◽  
M. Cavanaugh ◽  
G. Boldman ◽  
B. Alvarez ◽  
...  
Keyword(s):  
Management System ◽  
Semiconductor Manufacturing ◽  
Spare Parts

Smart spare parts management systems in semiconductor manufacturing

2017 ◽  
Vol 117 (4) ◽  
pp. 754-763 ◽  
Author(s):  
Meimei Zheng ◽  
Kan Wu
Keyword(s):  
Inventory Management ◽  
Management System ◽  
Semiconductor Manufacturing ◽  
Big Data Analytics ◽  
Spare Parts ◽  
Content Type ◽  
Inventory Management System ◽  
Spare Parts Management ◽  
New Business ◽  
Real Time Information

Purpose The purpose of this paper is to propose a smart spare parts inventory management system for a semiconductor manufacturing company. Design/methodology/approach With the development of the Internet of Things and big data analytics, more information can be obtained and shared between fabs and suppliers. Findings On the basis of the characteristics of spare parts, the authors classify the spare parts into two types, the consumable and contingent parts, and manage them through a cyber-physical inventory management system. Originality/value In this new business model, the real time information from machines, shop floors, spare parts database and suppliers are used to make better decisions and establish transparency and flexibility between fabs and suppliers.

Customer asset management at DHL in Asia

2011 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Jochen Wirtz ◽  
Indranil Sen ◽  
Sanjay Singh
Keyword(s):  
Asset Management ◽  
Management System ◽  
High Volume ◽  
Spare Parts ◽  
Customer Segmentation ◽  
Total System ◽  
Content Type ◽  
Customer Churn ◽  
Logistics Company ◽  
Wide Range

Subject area Marketing; customer segmentation; operations and logistics. Study level/applicability Undergraduate business and management students, MBA/MA level application for international marketing modules incorporating customer segmentation and customer asset management. Case overview DHL, the international air express and logistics company, serves a wide range of customers, from global enterprises with sophisticated and high volume supply-chain solutions shipping anything from spare parts to documents, to the occasional customer who ships the odd one or two documents a year. To be able to effectively manage such a diverse customer base, DHL implemented a sophisticated customer segmentation cum loyalty management system. The focus of this system is to assess the profitability from its customers, reduce customer churn, and increase DHL's share of shipments. Expected learning outcomes Case teaching objectives: to demonstrate the concept of customer segmentation with loyalty management as a total system in a logistics company setting, and to evaluate appropriateness of the classification; to utilize the concept of service tier model within the company's current operations, and to evaluate the effectiveness of the model; to analyze the implementation of the customer segmentation cum loyalty management system and development of the necessary rules required to classify the various accounts into categories; to highlight the possible challenges arising from the implementation of customer segmentation cum loyalty management system, and to discuss possible methods of resolution. Supplementary materials Teaching note.

scholarly journals NEW SURVEYING TASKS IN AUTOMATED INDUSTRIAL ENTERPRISE MANAGEMENT SYSTEM

2021 ◽  
Vol 1 ◽  
pp. 35-39
Author(s):  
Nurgan T. Kemerbaev ◽  
Andrej A. Sholomickij
Keyword(s):  
Management System ◽  
Three Dimensional ◽  
Spare Parts ◽  
Industrial Enterprise ◽  
Data Management System ◽  
Petrochemical Plant ◽  
Plant Model ◽  
Industrial Enterprises ◽  
Maintenance System ◽  
Engineering Data

In 2018, the Pavlodar petrochemical plant introduced a modern system of maintenance and repair, designed to modernize and improve the production process. A maintenance system consisting of subsystems allows: - organizing a system for managing the condition of the company fixed assets taking into account the current condition of the equipment; - receiving information about the performed maintenance, repair or replacement works, about reducing the risks of unplanned production downtime; - determining the feasibility of repairing or replacing equipment based on the total cost of maintenance; - establishing the validity of planning for the procurement of spare parts and materials for scheduled repairs; - reducing the risk of missing spare parts in case of emergency shutdown of equipment. The process of implementation and expansion of maintenance subsystems is ongoing. The Engineering Data Creation and Management (EDCM) system is being introducing using AVEVA solutions. The introducing and integration of EDCM is carried out with the IBM Maximo subsystem of the maintenance system based on a three-dimensional digital plant model, created in the AVEVA Everything 3D software. A brief description of the process of creating a three-dimensional model of an industrial enterprise, its connection with a maintenance system, as well as the transformation of surveying information through the lens of the development of digital transformation of surveying information when creating digital twins of industrial enterprises, using the example of creating a 3D model of PNHZ for an engineering data management system is given. As a result of the 3D modeling development in the framework of the widespread introduction of digitalization in manufacture, surveying works received a new launch for development. It should be noted that surveying measurements are the key to the success of a complex and multi-stage technological process for creating and operating a digital spatial twin or 3D plant model in a TOPO system.

scholarly journals Construction and optimization of inventory management system via cloud-edge collaborative computing in supply chain environment in the Internet of Things era

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259284
Author(s):  
Hailan Ran
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Inventory Management ◽  
Management System ◽  
Prediction Method ◽  
Spare Parts ◽  
Collaborative Computing ◽  
Demand Prediction ◽  
Industrial Enterprises ◽  
Inventory Management System

The present work aims to strengthen the core competitiveness of industrial enterprises in the supply chain environment, and enhance the efficiency of inventory management and the utilization rate of inventory resources. First, an analysis is performed on the supply and demand relationship between suppliers and manufacturers in the supply chain environment and the production mode of intelligent plant based on cloud manufacturing. It is found that the efficient management of spare parts inventory can effectively reduce costs and improve service levels. On this basis, different prediction methods are proposed for different data types of spare parts demand, which are all verified. Finally, the inventory management system based on cloud-edge collaborative computing is constructed, and the genetic algorithm is selected as a comparison to validate the performance of the system reported here. The experimental results indicate that prediction method based on weighted summation of eigenvalues and fitting proposed here has the smallest error and the best fitting effect in the demand prediction of machine spare parts, and the minimum error after fitting is only 2.2%. Besides, the spare parts demand prediction method can well complete the prediction in the face of three different types of time series of spare parts demand data, and the relative error of prediction is maintained at about 10%. This prediction system can meet the basic requirements of spare parts demand prediction and achieve higher prediction accuracy than the periodic prediction method. Moreover, the inventory management system based on cloud-edge collaborative computing has shorter processing time, higher efficiency, better stability, and better overall performance than genetic algorithm. The research results provide reference and ideas for the application of edge computing in inventory management, which have certain reference significance and application value.

scholarly journals Evaluation of Management System Effectiveness in the Preparation of the Aircraft for Flight in Faulty Conditions

2015 ◽  
Vol 2 (1) ◽  
pp. 13-18 ◽  
Author(s):  
Ruta Bogdane ◽  
Andris Vaivads ◽  
Dejan Dencic
Keyword(s):  
Traffic Management ◽  
Management System ◽  
Air Traffic Management ◽  
Spare Parts ◽  
Air Traffic ◽  
Maintenance Scheduling ◽  
Flight Delays ◽  
System Effectiveness

Abstract Most flight delays in aviation enterprises are related to air traffic management and technical centers. This can happen for various reasons: untimely removal of defects, lack of spare parts, deficiencies in maintenance scheduling, etc. Another reason may be inefficient management in the system of preparing the aircraft for departure. The article suggests a possible option of such an assessment as well as the results obtained from the use of this methodology applied to a specific airline.

A Computer‐based Inventory Management System for Spare Parts

1994 ◽  
Vol 94 (9) ◽  
pp. 22-28 ◽  
Author(s):  
Nagen N. Nagarur ◽  
Tai‐san Hu ◽  
Nirmal K. Baid
Keyword(s):  
Inventory Management ◽  
Management System ◽  
Spare Parts ◽  
Inventory Management System ◽  
Computer Based

Design of Coal Equipment Life Cycle Reliability Management System

2014 ◽  
Vol 571-572 ◽  
pp. 507-510
Author(s):  
Xian Min Ma ◽  
Bao Xu
Keyword(s):  
Life Cycle ◽  
Management System ◽  
Spare Parts ◽  
Production Equipment ◽  
Maintenance Management ◽  
Equipment Management ◽  
Mining Equipment ◽  
Reliability Management ◽  
State Management ◽  
Mine Production

A new coal mine equipment management system based on network is proposed in the paper. The principle of the mine production equipment service life cycle is introduced, the maintenance management information system framework and function modules are designed which combines with the characteristics of the mine production equipment to equipment status. The design of the device information management, spare parts management, state management, maintenance management and ledger management model selection are described in detail, and then the mine production management system based on the equipment life cycle prediction is build. The research result shows the coal mining equipment management system based on network can achieve long-term optimizing maintenance resources, and reduce maintenance costs and improve the efficiency of coal production and enterprise management level.

The Optimized Analysis to Stock Management of Spare Parts Used for Maintenance and Ensurence

2012 ◽  
Vol 532-533 ◽  
pp. 650-653
Author(s):  
Tao Liu ◽  
Lin Zhang ◽  
Yong Ge Chen ◽  
Peng Xu ◽  
Ke Lian
Keyword(s):  
Management System ◽  
Spare Part ◽  
Spare Parts ◽  
Stock Structure ◽  
Structure Model ◽  
Stock Management ◽  
Management Problems

The stock management problems of weapon system’s maintenance and insurance spare part are analyzed, and the advanced experiences about spare part maintenance are summed up. After calculating the compartmentalize, structure and proportion of weapon system’s spare part, analyzing the proportions of spare part concretely, one reasonable stock structure model and the actualized direction are proposed in succession, which can be used as the design-making foundation of consummating the management system about weapon system’s spare part. At last the advice about spare part structure’s optimization is given.

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