Visualization Service Model for Job Scheduling

2011 ◽  
Vol 282-283 ◽  
pp. 683-686
Author(s):  
Yong Ling Yu ◽  
Tao Guan ◽  
Jin Fa Shi

With the expansion of manufacturing information services, visualization service in enterprise resource planning has recently become a hot topic. In this paper, we propose a new approach for job scheduling visualization service and a model of visualization service constructed from the share of production data and job scheduling information. Moreover, the optimization model of visualization service is given. At last, we discuss the optimization algorithm for this model.

2019 ◽  
Vol 25 (4) ◽  
pp. 738-756
Author(s):  
Tingting Huang ◽  
Akinori Yokota

Purpose The purpose of this paper is to present a new approach for assessing the status of alignment between organizations and enterprise resource planning (ERP) systems—more friendly and quantitatively. Design/methodology/approach An issue-based ERP assessment model is invented based on thorough literature review and empirical data from three Japanese companies. A modified Cartesian coordinate system is adopted to link the alignment criteria and the system maintenance activities. Findings The findings prove the feasibility of the model and reveal the variation of ERP alignment in a visualized way. It is also indicated that the utilization of the issue-based ERP assessment model is a more convenient method to help the organizations to pinpoint the status of the ERP alignment. Originality/value This is the first approach to measuring the business–information technology alignment visually. One major implication of this research is to provide an easy assessment method which may encourage organizations to do evaluations regularly. The information accumulated by regular assessment can further pinpoint the perfect time to make decisions and provide essential evidence for decision makings, such as when to expand or retire the current system. From the academic perspective, this model provides a new approach to evaluating the assimilation of organizations and ERP systems.


2013 ◽  
pp. 215-218
Author(s):  
Bao Chang ◽  
Ju-Chun Cheng ◽  
Chi-Ming Chen ◽  
Chien-Feng Huang ◽  
Hsiu-Fen Tsai

Metals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1848
Author(s):  
Ning Li ◽  
Shuzhao Feng ◽  
Haiwang Ye ◽  
Qizhou Wang ◽  
Mingtao Jia ◽  
...  

The working environment of underground mines is complicated, making it difficult to construct an underground mine production plan. In response to the requirements for the preparation of a short-term production plan for underground mines, an optimization model for short-term resource planning was constructed, with the goal of maximizing the total revenue during the planning period. The artificial bee colony optimization algorithm is used to solve the model using MATLAB. According to the basic requirements of underground mine ore haulage and ore hoisting, a haulage equipment inter-stopes dispatch plan model was constructed, with the primary goal of minimizing the haulage equipment wait time. A non-dominated sorting genetic algorithm is used to solve the optimization model. An underground mine is examined using the two models, and the optimization results are compared and verified with the scheme obtained by using traditional optimization algorithms. Results show that based on the improved optimization algorithm, the use of short-term production planning schemes to guide mine production operations can increase the haulage equipment utilization rate, thereby increasing mine production revenue.


Author(s):  
Shruti Makarand Kanade

 Cloud computing is the buzz word in today’s Information Technology. It can be used in various fields like banking, health care and education. Some of its major advantages that is pay-per-use and scaling, can be profitably implemented in development of Enterprise Resource Planning or ERP. There are various challenges in implementing an ERP on the cloud. In this paper, we discuss some of them like ERP software architecture by considering a case study of a manufacturing company.


2017 ◽  
Vol 2 (2) ◽  
pp. 147-154
Author(s):  
Julian Aristo

Enterprise Resource Planning (ERP) systems have become vital strategic tools in today’s competitive business environment. Implementation of ERP systems is a highly complex process which is influenced not only by technical, but also by other factors. The purpose of this research to find out factors influencing the success of ERP implementations in companies in Jabodetabek. In this research three factors of success implementation ERP were selected on the bases of previous research that includes top management support, project management and user involvement. The results indicate that top management support and project management are key factors affecting the success of ERP implementations, while user involvement does not affect the success of ERP implementations. Top management support, project management and user involvement affect the success rate of 72.7% of ERP implementations. While the rest equal to 27.3% influenced by other variables not included in this research model. Keywords: Enterprise Resource Planning, Top management support, project management, user involvement


2019 ◽  
Vol 10 (2) ◽  
pp. 81-86
Author(s):  
Tiago Bittencourt Nazaré ◽  
Larissa Máximo Gonçalves ◽  
Lucas da Silva Vieira ◽  
Quéren Hapuque de Souza Eugênio ◽  
Vitória Durães Fialho Andrade

Diante do desafio que as empresas possuem atualmente de produzir a necessidade que os clientes desejam com qualidade, custo e tempo desejado, e com a complexidade e variedade crescente de produtos, muitas organizações estão adotando sistemas Enterprise Resource Planning (ERP) para gerenciar de forma eficaz seus processos e departamentos. Os ERP’s são sistemas de gestão que permitem controlar toda a empresa, desde às finanças até a produção, unificando e sincronizando todos os setores. O trabalho teve como principal objetivo a realização de uma revisão bibliográfica sobre ERP destacando os seus tipos e benefícios, assim como, exemplificando o funcionamento de um desses sistemas de gerenciamento em uma empresa do setor metalúrgico


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