Group-based production scheduling for make-to-order production

Yu, Chunyang; Ji, Yangjian; Guo, Qi; Gu, Xiaolei; Li-yan, Tao

doi:10.1007/s10845-013-0817-z

Cited by 7 publications

(3 citation statements)

References 28 publications

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“…However, the scheduling of the production processes is relatively simple compared to the group-based scheduling introduced by Yu et al (2015), and jumping into the next activity is not allowed until the current is finished, which is set by work flow of the platform program. Further research focusing on manufacturing control flow (Al-Tahat et al 2012) and business flow (Cheng and Prabhu 2012) of this networkbased manufacturing model will able to solve the problem when there are a number of random activities taking place in carrying out the predefined activities and requiring to be implemented collaboratively.…”

Section: Application Experiments Of Hypoid Gearsmentioning

confidence: 99%

A network-based manufacturing model for spiral bevel gears

Deng

2015

J Intell Manuf

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Aimed at satisfying the development demands of modern manufacturing for high quality spiral bevel gears, it is thought to be urgent and crucial to improve their machining efficiency and quality. The continuous maturing and fusion of information and network technologies open a new route for the manufacture of spiral bevel gears. With the consideration of requirements for the fast growth of such industry, this paper proposes a network-based manufacturing model for spiral bevel gears by combining the technologies of gear manufacturing with network, information and management. Firstly, the application integration framework and network communication architecture for spiral bevel gears network-based manufacture is built. On that basis, the business model of integrated platform for spiral bevel gears network-based manufacture is established. Subsequently, the information integration framework of network-based manufacturing processes is set up. Finally, through the network-based manufacturing application experiment and effect analysis, the feasibility of the proposed model, as well as the effectiveness on improving the processing efficiency and quality of such gears is verified.

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Section: Application Experiments Of Hypoid Gearsmentioning

confidence: 99%

A network-based manufacturing model for spiral bevel gears

Deng

2015

J Intell Manuf

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“…For manufacturing firms adopting an MTO production mode, rescheduling management is an effective method to decide on market strategy and production, from the perspective of both the internal and external environments. It is similarly effective when aiming to integrate warehousing logistics, production and management, and to deliver personalized products to customers on schedule and in the right quantity [3]. Current research on job shop scheduling is associated with the proposition that the circumstances are never changed, and that the rescheduling plan, once made, will be carried out until the end.…”

Section: Introductionmentioning

confidence: 99%

Rescheduling Methods for Manufacturing Firms Applying Make-to-Order Strategy

Song¹,

Gu²,

Jin³

et al. 2015

Int. j. simul. model.

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To combat the problem of frequent production plan change in an environment where manufacturing systems are constantly varying, an improved hybrid rescheduling strategy is proposed. Disturbance factors are classified according to their origin and influence, and their disturbance degree is determined using a fuzzy-neural network. On the basis of this, an adaptive rescheduling process for manufacturing systems has been constructed and an improved hybrid rescheduling strategy is proposed. Finally, the effectiveness of this improved strategy is illustrated by a case study of practical manufacturing. The results show that this strategy can effectively reduce rescheduling times and maintain the stability of manufacturing systems.

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“…They defined similarity coefficient for each job, and grouped jobs based on similarity coefficients to reduce setup time. Among the existing studies on group scheduling, most of them use group technology to reduce the setup time, makespan, earliness and tardiness and so on [27][28][29][30][31][32][33][34][35][36][37]. However, setup time minimization is not the same as setup energy consumption minimization.…”

mentioning

confidence: 99%

Energy-Aware Scheduling of Two-Stage Flexible Flow Shop Based on Group Technology: Consideration of the Inconsistency of Process Differences

Zeng

Gao

Hong

2022

Int J Comput Intell Syst

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The diversity of consumer demand makes the manufacturing industry shift from the production mode of small variety and large batch to the production mode of multi-variety and small batch, which leads to the increase of production cost and the decrease of production efficiency, especially the increase of energy consumption. In this paper, the energy-aware scheduling problem of two-stage flexible flow shop based on group technology is studied, in which the process differences of jobs in the two stages are inconsistent. To solve the problem of unbalanced load of machines caused by group technology, this paper uses a dynamic splitting strategy to balance the load of machines on the basis of increasing the setup energy consumption as little as possible. Considering that the research problem is a multi-objective optimization problem, this study develops an improved multi-objective scatter search algorithm. According to the characteristics of the problem, the coding scheme, decoding scheme, diversity generation method and combination method are designed. The experimental results show that the group technology can effectively reduce energy consumption, and the dynamic split strategy can balance the load of machines effectively. Moreover, the results show the proposed method is better than the existing methods in terms of obtaining better solutions.

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Group-based production scheduling for make-to-order production

Cited by 7 publications

References 28 publications

A network-based manufacturing model for spiral bevel gears

A network-based manufacturing model for spiral bevel gears

Rescheduling Methods for Manufacturing Firms Applying Make-to-Order Strategy

Energy-Aware Scheduling of Two-Stage Flexible Flow Shop Based on Group Technology: Consideration of the Inconsistency of Process Differences

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