Research and Design of Lead-Acid Battery Manufacturing Execution System Based on Barcode Scanning

2014 ◽  
Vol 513-517 ◽  
pp. 2560-2564
Author(s):  
Xi Teng Lin ◽  
Hu Zhou ◽  
Min Na Ni ◽  
Yue Li ◽  
Sen Chen
Keyword(s):  
Production Management ◽  
Control Flow ◽  
Raw Material ◽  
Management Decision ◽  
Equipment Management ◽  
Manufacturing Execution System ◽  
Complete Control ◽  
Management Decision Making ◽  
And Control ◽  
Manufacturing Execution

This article provides a whole solution to the battery manufacturing execution system (MES) which realizes the complete control of data in battery manufacturing ． MES can improve the manufacturing efficiency. Along with many other functions like quality trace, production planning, quality management, production status monitoring, production tracking, profit forecast predicting profit, recording of exceptional production, raw material management, equipment management, report printing etc ．To remain competitive, manufacturers need MES solutions that meet their industry-specific needs. All the functions turn the battery manufacturing execution system into a production, management, decision-making supporting system which combines work flow, data flow and control flow．

Research on MES Domain Analysis Driven by Ontology

2010 ◽  
Vol 20-23 ◽  
pp. 1084-1090 ◽  
Author(s):  
Wen Long
Keyword(s):  
Control System ◽  
Software Development ◽  
Method Development ◽  
Domain Analysis ◽  
Manufacturing Execution System ◽  
Development Method ◽  
And Performance ◽  
And Control ◽  
Plan Management ◽  
Manufacturing Execution

Manufacturing Execution System (MES) links plan management and workshop control in an enterprise, which is an integrative management and control system of workshop production oriented to manufacturing process. To overcome the difficulties of traditional software development method, development of MES based on component is adopted to prompt development efficiency and performance of MES, which can be more reconstructing, reuse, expansion and integration, and MES domain analysis driven by ontology is investigated in detail. MES domain analysis driven by ontology is feasible and efficient through developing a pharmaceutics MES which applied in a pharmaceutics manufacturing factory.

Economics of Farm Management

2018 ◽  
pp. 56-72
Keyword(s):  
Production Management ◽  
Farm Management ◽  
Management Decision ◽  
Entrepreneurial Spirit ◽  
Investment Opportunities ◽  
Management Decision Making ◽  
Working Together ◽  
Factors Of Production ◽  
Profit Maximisation

The concept of farm management can be defined as the organization of land, labour, capital, and management (decision-making and risk-taking) in operating a farm enterprise to meet the stated objectives including profit maximisation. Of the four fundamental factors of production, management stands out in its onerous role in organizing all the others in meeting the defined objectives of the enterprise. Onerous as the role of management as a factor of production is, it cannot work in isolation of the others. There is therefore a need to discuss farm management as a concept with due focus on the notion of entrepreneurial spirit and at the same time bring out the peculiar features of the factors of production in working together to maintain a going concern. It is against this background that this chapter discusses the concept of farm management. The specific objectives of the chapter include defining the meaning and scope of farm management, highlighting the resources available to the farm enterprise, highlighting the relevance of entrepreneurship behaviour and entrepreneurship spirit in growing an enterprise, and highlighting the importance of farm management. The methodology adopted is descriptive. It is argued in this chapter that present and prospective farm managers should essentially have entrepreneurial spirit with which to start, grow, and expand their enterprise in line with the objective of the enterprise in question. Searching out investment opportunities and effectively ploughing back profits on existing or new investments for expansion enterprise is one of the decisions of management.

Design of Holonic Manufacturing Execution System with Control Mechanism Based Stigmergy

2010 ◽  
Vol 102-104 ◽  
pp. 776-780 ◽  
Author(s):  
Xiu Lin Li ◽  
Jian Sha Lu ◽  
Guo Zhong Chai ◽  
Hong Tao Tang
Keyword(s):  
Production Process ◽  
Process Model ◽  
Raw Material ◽  
System Stability ◽  
System Control ◽  
Manufacturing Execution System ◽  
Dynamic Information ◽  
Production Factors ◽  
Cooperation Mechanism ◽  
Manufacturing Execution

To deal with problem of manufacturing system stability caused by uncertain factors in discrete production process, holon was introduced to manufacturing execution system (MES). A distributed manufacturing control architecture based on holon was established. This architecture using cooperation mechanism based stigmergy to realize agility, autonomy and intelligence of system control. Based on the architecture, holon driven agents to visit production elements, acquiring dynamic information of production process. Model design of production factors as order, resource, raw material, product and management factors as optimize, execution was described amply. Finally, workflow of this system was depicted with an example of uncertain order factor.

scholarly journals PEDAGOGICAL MANAGEMENT OF THE SYSTEM OF FUTURE SPECIALISTS IN SOCIAL WORK TRAINING

2020 ◽  
pp. 50-56
Author(s):  
L. Lebedyk
Keyword(s):  
Social Work ◽  
Social Institutions ◽  
Management Theory ◽  
Management Decision ◽  
Education Student ◽  
Social Work Training ◽  
Work Training ◽  
Problems And Solutions ◽  
Management Decision Making ◽  
And Control

The article highlights the areas of achieving the goal of future specialists in social work training from the standpoint of management theory, defines the principles, functions, and methods of the pedagogical management system of future specialists in social work training, highlights current problems and solutions of future specialists in social work training. The aim of the article is a theoretical analysis of the problems of pedagogical management of future specialists in social work training in the context of the competency approach. The objectives of the study are the following: 1) to identify areas for achieving the goal of future specialists in social work training from the standpoint of management theory; 2) determination of principles, functions, and methods of management of the system of future specialists in social work training; 3) selection on the basis of solving previous tasks of current problems of training this category of specialists. Emphasis is placed on the principles of management of the system of future specialists in social work training: formulation of aim, purposefulness, cooperation, functional approach, complexity, the combination of the target, functional management, and line management, self-improvement. The system of functions of pedagogical management of the system of future specialists in social work training is singled out and characterized: planning, management decision-making, staffing of scientific and pedagogical workers, effective communication, stimulation, guidance, and control. The author proves that the achievement of effective future specialists in social work training is provided by solving a set of tasks of pedagogical management, including implementation of continuity of future specialists in social work training based on updating its content, organizational forms, and methods; raising the level of managerial and professional culture of organizers and executors of professional future specialists in social work training; provision of interpersonal interaction in the process of training; introduction of pedagogical monitoring as a condition for improving the higher education student training for social and socio-pedagogical work in state and non-state social institutions.

scholarly journals Microeconomic Effects Of Reduced Yield Variability Cultivars Of Soybeans And Wheat

1992 ◽  
Vol 24 (1) ◽  
pp. 121-133 ◽  
Author(s):  
Carl R. Dillon
Keyword(s):  
Production Management ◽  
Effective Means ◽  
Yield Variability ◽  
Management Decision ◽  
Wheat Cultivars ◽  
Production Risk ◽  
Management Decision Making ◽  
Programming Techniques ◽  
Decision Making Model ◽  
New Crop

AbstractEconomic analysis was conducted on hypothetical agronomic research on new crop cultivars for Arkansas dryland soybean and wheat producers. In relation to farmers' attitudes toward risk, the microeconomic effects and level of adoption of yield variability reducing cultivars were analyzed utilizing a production management decision-making model formulated with mathematical programming techniques. The study indicated that negative covariance between crops continues to be an effective means of reducing production risk associated with yield variability. However, under varying circumstances, agronomic research on the breeding of new soybean and wheat cultivars with reduced yield variability is worthwhile if there is only slight concurrent reduction in expected yields.

Projects in the Optimal Allocation and Management of Construction Equipment

2011 ◽  
Vol 120 ◽  
pp. 603-608
Author(s):  
Tian Xiong Yang ◽  
Shun Tian Yang ◽  
Mei Wu Peng
Keyword(s):  
Decision Making ◽  
Systematic Study ◽  
Construction Management ◽  
Optimal Allocation ◽  
Optimal Configuration ◽  
Construction Equipment ◽  
Management Decision ◽  
Equipment Management ◽  
Production Factors ◽  
Management Decision Making

Projects, construction equipment management is the process of the project and construction management of production factors is an important component. Construction equipment on the project configuration, use, cost accounting and other comprehensive systematic study, given the optimal configuration and dynamic management decision-making programs, to achieve their project goals.

History and Topics of the Project Management

2013 ◽  
Vol 405-408 ◽  
pp. 3372-3375
Author(s):  
Hai Xie
Keyword(s):  
Project Management ◽  
Construction Industry ◽  
Time Management ◽  
Management Decision ◽  
Best Value ◽  
Different Types ◽  
Management Decision Making ◽  
And Control ◽  
Coordination And Control ◽  
Bidding Process

Project management is the overall planning, coordination, and control of a project from beginning to completion. Project management is aimed at meeting a clients requirement in order to produce a functionally and financially viable project. Project management is project management that applies to the construction sector. The construction industry is composed of five sectors: residential, commercial, civil, industrial, and environmental. A construction manager holds the same responsibilities and completes the same processes in each sector. All that separates a construction manager in one sector from one in another is the knowledge of the construction site. This may include different types of equipment, materials, subcontractors, and possibly locations. A contractor is assigned to a construction project once the design has been completed by the architect or is still in progress. This is done by going through a bidding process with different contractors. The contractor is selected by using one of the three selection methods: low-bid selection, best-value selection, or qualifications-based selection. A construction manager should have the ability to handle public safety, time management, decision making, mathematics, and human resources.

Study on the Measures of Production Safety Accident Prevention and Control

2013 ◽  
Vol 664 ◽  
pp. 1176-1179
Author(s):  
Zi Jian Zhai
Keyword(s):  
Prevention And Control ◽  
System Analysis ◽  
Accident Prevention ◽  
Control Measures ◽  
Management Decision ◽  
Production Safety ◽  
Management Decision Making ◽  
Depth Study ◽  
Safety Accident ◽  
And Control

In this paper, based on emerging issue and new trends in the production safety work, there is an system analysis of the situation of production safety accidents that is the "Eleventh Five-Year" period, Hebei Province in China. Occur in different sectors of production safety accidents in-depth study. The characteristics of production safety accidents and laws will be revealed. Production safety accident prevention and control measures will be proposed, and as a basis for management decision-making.

scholarly journals Modeling of RFID-Enabled Real-Time Manufacturing Execution System in Mixed-Model Assembly Lines

2015 ◽  
Vol 2015 ◽  
pp. 1-15
Author(s):  
Zhixin Yang ◽  
Wei Xu ◽  
Pak-Kin Wong ◽  
Xianbo Wang
Keyword(s):  
Real Time ◽  
Production Planning ◽  
Production Management ◽  
Mixed Model ◽  
Manufacturing Execution System ◽  
Assembly Lines ◽  
Safety Stock ◽  
Mixed Model Assembly Lines ◽  
Mixed Model Assembly ◽  
Manufacturing Execution

To quickly respond to the diverse product demands, mixed-model assembly lines are well adopted in discrete manufacturing industries. Besides the complexity in material distribution, mixed-model assembly involves a variety of components, different process plans and fast production changes, which greatly increase the difficulty for agile production management. Aiming at breaking through the bottlenecks in existing production management, a novel RFID-enabled manufacturing execution system (MES), which is featured with real-time and wireless information interaction capability, is proposed to identify various manufacturing objects including WIPs, tools, and operators, etc., and to trace their movements throughout the production processes. However, being subject to the constraints in terms of safety stock, machine assignment, setup, and scheduling requirements, the optimization of RFID-enabled MES model for production planning and scheduling issues is a NP-hard problem. A new heuristical generalized Lagrangian decomposition approach has been proposed for model optimization, which decomposes the model into three subproblems: computation of optimal configuration of RFID senor networks, optimization of production planning subjected to machine setup cost and safety stock constraints, and optimization of scheduling for minimized overtime. RFID signal processing methods that could solve unreliable, redundant, and missing tag events are also described in detail. The model validity is discussed through algorithm analysis and verified through numerical simulation. The proposed design scheme has important reference value for the applications of RFID in multiple manufacturing fields, and also lays a vital research foundation to leverage digital and networked manufacturing system towards intelligence.

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