2103 Integration of process planning and scheduling in holonic manufacturing system : Modification of process plans based on scheduling results

2005 ◽  
Vol 2005 (0) ◽  
pp. 21-22
Author(s):  
Nobuhiro SUGIMURA ◽  
Rajesh SHRESH ◽  
Koji ICHINOSE
Keyword(s):  
Process Planning ◽  
Manufacturing System ◽  
Planning And Scheduling ◽  
Process Plans ◽  
Holonic Manufacturing

Study on Models of Planning and Scheduling in IT Manufacturing Processes

2010 ◽  
Vol 20-23 ◽  
pp. 28-33
Author(s):  
Da Wei Liu ◽  
Hong Bin Liu
Keyword(s):  
Process Planning ◽  
Manufacturing Process ◽  
Manufacturing System ◽  
Manufacturing Processes ◽  
Key Factors ◽  
Integration Model ◽  
Planning And Scheduling ◽  
Process Plans ◽  
Manufacturing Process Planning

Traditionally, Models of IT manufacturing process planning and scheduling were carried out in a sequential way, where scheduling was done after process plans had been delivered. Since the two functions are usually complementary, it is necessary to integrate them correctly so that performance of an IT manufacturing system can be improved efficiently. In the thesis, a new integration model focused on key factors has been developed to facilitate the integration and optimization. The practice of the models show that the proposed approaches are promising and very effective methods for the integration of process planning and scheduling in IT manufacturing processes.

scholarly journals A Study on Integrated Process Planning and Scheduling System for Holonic Manufacturing

2006 ◽  
Vol 72 (715) ◽  
pp. 909-915 ◽  
Author(s):  
Rajesh SHRESTHA ◽  
Nobuhiro SUGIMURA ◽  
Koji ICHINOSE ◽  
Yoshitaka TANIMIZU ◽  
Koji IWAMURA
Keyword(s):  
Process Planning ◽  
Integrated Process ◽  
Planning And Scheduling ◽  
Scheduling System ◽  
Holonic Manufacturing

Manufacturing Resource Modeling With Petri Nets

1999 ◽  
Author(s):  
Dimitris Kiritsis ◽  
Paul Xirouchakis
Keyword(s):  
Petri Nets ◽  
Process Planning ◽  
Petri Net ◽  
Cost Estimation ◽  
Modeling Method ◽  
Delivery Time ◽  
Planning And Scheduling ◽  
Process Plans ◽  
Machined Parts ◽  
The Cost

Abstract The problem under consideration is the modeling of manufacturing resources like machine tools, setups and tools which affect the cost and batch delivery time estimation of machined parts. The proposed resource models are built upon Petri net models for process planning and scheduling with three methods: (i) an implicit modeling method where resources are modeled as a data structure which acts on a specific Process Planning Petri net (PP-net), (ii) a first explicit modeling method where resources, are modeled as separated Petri nets whose places are connected to PP-net transitions with adequate arcs and form a Process Planning Cost System (PPC-system) and (iii) a second explicit modeling method where a two-level Petri net model is proposed which allows the modular modeling of process plans and resources. In the later case, integration is achieved through an synchronization mechanism. The first two methods are used for the cost estimation of process plans of unique parts while the third one is used for delivery time and cost estimation of a batch of machined parts.

Energy-aware integration of process planning and scheduling of advanced machining workshop

2016 ◽  
Vol 231 (11) ◽  
pp. 2040-2055 ◽  
Author(s):  
Chaoyang Zhang ◽  
Pingyu Jiang ◽  
Lei Zhang ◽  
Peihua Gu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Process Planning ◽  
System Integration ◽  
Flexible Manufacturing ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Planning And Scheduling ◽  
Asymmetric Traveling Salesman Problem ◽  
Advanced Machining

Increasing energy consumption of manufacturing industry demands novel approaches to achieve energy conservation and emission reduction. Most of the previous research efforts in this area focused more on analyzing manufacturing energy consumption of a process or that of a machine tool with less concern on the system level of advanced machining workshop, especially a flexible manufacturing system. In this article, a new energy-saving approach of flexible manufacturing system is put forward based on energy evaluation model for integration of process planning and scheduling problem in flexible manufacturing system (flexible manufacturing system-integration of process planning and scheduling). First, complying with feature precedence and other technological requirements, flexible manufacturing system -integration of process planning and scheduling is mapped as an asymmetric traveling salesman problem of which operations are provinces and candidate operations are cities belonging to different provinces. To evaluate the performance of each solution of the asymmetric traveling salesman problem, energy consumption evaluation criteria for flexible manufacturing system-integration of process planning and scheduling are established and three energy efficiency indicators are also provided to perform further analysis on manufacturing energy consumption, that is, part energy efficiency, machine tool energy efficiency and feasible solution energy efficiency. Then, a mutation-combined ant colony optimization algorithm is proposed to solve the flexible manufacturing system-integration of process planning and scheduling which combined roulette and mutation selection methods to pick out the next candidate operation. The pheromone trails associated with edges are released by the so-far-best ant or the iteration-best ant probabilistically to both keep the search directed and avoid converging to the local best. Finally, a case study of flexible manufacturing system in advanced machining workshop is employed to demonstrate the feasibility and applicability of this approach in three different scenarios and compared with the “process planning then scheduling” approach; energy consumption obtained by the proposed method drops 10.7%.

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