A hierarchic approach to production planning and scheduling of a flexible manufacturing system

Abstract In a highly competitive environment, effective production is one of the key issues which can be addressed by efficient production planning and scheduling in the manufacturing system. This paper develops an agent-based architecture which enables integration of production planning and scheduling. In addition, this architecture will facilitate real time production scheduling as well as provide a multi-agent system (MAS) platform on which multiple agents will interact to each other. A case study of job-shop manufacturing system (JMS) has been considered in this paper for implementing the concept of MAS. The modeling of JMS has been created in SimEvents which integrates an agent-based architecture developed by Stateflow to transform into dynamic JMS. Finally, the agent-based architecture is evaluated using utilization of each machine in the shop floor with respect to time.

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116 Optimization modelling and simulation for production planning in flexible manufacturing system

Control Engineering Practice ◽

10.1016/0967-0661(94)90698-x ◽

1994 ◽

Vol 2 (1) ◽

pp. 168

Keyword(s):

Production Planning ◽

Flexible Manufacturing ◽

Manufacturing System ◽

Flexible Manufacturing System ◽

Modelling And Simulation

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A Production Planning and Scheduling Architecture for Networked-Manufacturing System Based on Available-to-Promise

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.268-270.292 ◽

2011 ◽

Vol 268-270 ◽

pp. 292-296 ◽

Cited By ~ 1

Author(s):

Wen Hao Wang ◽

Qiong Zhu ◽

Jie Zhang

Keyword(s):

Production Planning ◽

Production Scheduling ◽

Manufacturing System ◽

Resource Planning ◽

Networked Manufacturing ◽

Planning And Scheduling ◽

Production Planning And Scheduling ◽

Order Management ◽

Production Activity ◽

Decision Making System

In the practical application of push-pull based production planning and scheduling architecture, the manufacturing system was found lacking of collaborative mechanism, especially for a networked-manufacturing environment, which requires each individual manufacturer interact and cooperate with each other for a collaborative manufacturing. This paper presents a production planning and scheduling architecture for networked-manufacturing system based on available-to-promise, which can effectively merge forecast-driven production activity with order-driven production activity, thus ensures the steady and prompt supply of material, and also cooperation and mutual benefit of individual manufacturer. This architecture consists of 1) an ATP-based order management and decision-making system, 2) a push-pull based multi-plant master production schedule collaboration model, 3) a pre-reactive collaborative replenishment model, 4) a production scheduling model of unrelated parallel machine and 5) the corresponding production planning and scheduling methods for each model. By combining the concept of ATP, this architecture can not only provide resource planning for networked-manufacturing system, but also offer quick response and promise to customer requests.

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

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture ◽

10.1177/0954405415616785 ◽

2016 ◽

Vol 231 (11) ◽

pp. 2040-2055 ◽

Cited By ~ 6

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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