A New Approach for Planning and Scheduling Problems in Hybrid Distributed Manufacturing Execution System

Author(s):  
Xiaobing Liu ◽  
Hongguang Bo ◽  
Yue Ma ◽  
Qiunan Meng
2021 ◽  
Vol 2136 (1) ◽  
pp. 012052
Author(s):  
Fangyu Pan ◽  
Yuewei Bai ◽  
Shupiao Liu ◽  
Li Nie

Abstract Compaired with mart manufacturing and digital manufacturing, virtual manufacturing is a more advanced mode, which is more flexible, more inexpensive and more suitable for modern competitive society. No matter what type of manufacturing, Manufacturing Execution System (MES) is necessary and plays a key role. So this paper focuses on the MES in virtual manufacturing. MES serves as a bridge to connect the upper planning layer and the control layer of the factory. It has at least 8 functions, including data collection, production process management, human resource management, workpieces tracking, production planning and scheduling, quality control, documentation system and maintenance management. As a typical virtual manufacturing enterprise, the company A is chosen to be introduced, including the background, composition of MES and implementation of MES.


2014 ◽  
Vol 519-520 ◽  
pp. 1585-1588
Author(s):  
Ju Fang Hu ◽  
Chun Ru Xiong

Manufacturing Execution System (MES) is widely used in enterprise production scene. But most manufacturing execution systems are expensive and mostly for the continuous production-oriented enterprises. Thus, they are hardly applied to a large number of existing discrete manufacturing enterprises. For discrete manufacturing companies, on-site processing is complex such as the planning and scheduling. This paper proposes a concept that is the use of advanced enterprise information management and designs a CIMS technology for discrete industry. The system is capable of real-time monitoring of discrete manufacturing companies in the products of the process of production and production data collection. The completion of the automatic production scheduling is achieved, providing a variety of enterprise project management module upper and greatly optimizing various production resources of the enterprise configuration. In practical applications, it has received very good results.


Author(s):  
Jim Ricker

Today’s e-Commerce systems are applying pressure on the manufacturing industry. Shorter lead times, smaller production runs, just-in-time inventory and build-to-order are all manufacturing operations’ nightmares. Worse, with ERP, CRM, APS and SCM, each application provides significant content but it is very difficult to make them all work together. The Manufacturing Execution System is the glue that turns all the pieces of the puzzle into one solid solution. Manufacturing Execution System accomplishes this by becoming the source of real-time production/fulfillment data and the central data source. Manufacturing Execution System applications effectively fall into the following areas: _ Enterprise system integration _ Production tracking w/genealogy _ Real-time Inventory Management _ Manufacturing operations management * (ERP - enterprise resource management, CRM - customer relationship management, APS - advanced planning and scheduling, SCM - supply chain management). Paper published with permission.


2014 ◽  
Vol 65 (4) ◽  
pp. 646-656 ◽  
Author(s):  
Petri Helo ◽  
Mikko Suorsa ◽  
Yuqiuge Hao ◽  
Pornthep Anussornnitisarn

2010 ◽  
Vol 20-23 ◽  
pp. 1084-1090 ◽  
Author(s):  
Wen Long

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.


2010 ◽  
Vol 25 (3) ◽  
pp. 319-336 ◽  
Author(s):  
Gérard Verfaillie ◽  
Cédric Pralet ◽  
Michel Lemaître

AbstractThe CNT framework (Constraint Network on Timelines) has been designed to model discrete event dynamic systems and the properties one knows, one wants to verify, or one wants to enforce on them. In this article, after a reminder about the CNT framework, we show its modeling power and its ability to support various modeling styles, coming from the planning, scheduling, and constraint programming communities. We do that by producing and comparing various models of two mission management problems in the aerospace domain: management of a team of unmanned air vehicles and of an Earth observing satellite.


Sign in / Sign up

Export Citation Format

Share Document