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

Song, L. J.; Gu, H. P.; Jin, S. Y.; Zhao, H.

doi:10.2507/ijsimm14(4)co18

Cited by 4 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Firstly, the breakdown problem is considered [12], and the original plan is reprogrammed. Secondly, the existing rescheduling model is employed to construct a new rescheduling model [13], or corresponding rescheduling strategies [14]- [18] and frameworks [19] are proposed according to different breakdown problems. When proposing the rescheduling strategy, some researchers proposed that a method can be used to determine whether the rescheduling is required [20].…”

Section: Introductionmentioning

confidence: 99%

Rescheduling Plan Optimization of Underground Mine Haulage Equipment Based on Random Breakdown Simulation

Li¹,

Feng²,

Tao³

et al. 2022

Preprint

View full text Add to dashboard Cite

Due to production space and operating environment requirements, mine production equipment often breaks down, which seriously affects the mine’s production schedule. To ensure the smooth completion of the haulage operation plan under abnormal conditions, a model of the haulage equipment rescheduling plan based on the random simulation of equipment breakdowns is established in this paper. The model aims to accomplish both the maximum completion rate of the original mining plan and the minimum fluctuation of the ore grade during the rescheduling period. This model is optimized by improving the wolf colony algorithm and changing the location update formula of the individuals in the wolf colony. Then, the optimal model solution can be used to optimize the rescheduling of the haulage plan by considering equipment breakdowns. The application of the proposed method in an underground mine revealed that the completion rate of the mine’s daily mining plan reached 83.40% without increasing the number of the equipment, while and the ore quality was stable. Moreover, the improved optimization algorithm converged fast and was characterized by high robustness.

show abstract

Section: Introductionmentioning

confidence: 99%

Rescheduling Plan Optimization of Underground Mine Haulage Equipment Based on Random Breakdown Simulation

Li¹,

Feng²,

Tao³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…First, the breakdown problem is considered [12][13][14], and the original plan is reprogrammed [15]. Second, the existing rescheduling model is employed to construct a new rescheduling model [16], or corresponding rescheduling strategies [17][18][19][20][21] and frameworks [22] are proposed according to different breakdown problems. When proposing the rescheduling strategy, some researchers proposed that a method can be used to determine whether rescheduling is required [23].…”

Section: Introductionmentioning

confidence: 99%

Rescheduling Plan Optimization of Underground Mine Haulage Equipment Based on Random Breakdown Simulation

Feng

Lei

et al. 2022

Sustainability

View full text Add to dashboard Cite

Due to production space and operating environment requirements, mine production equipment often breaks down, seriously affecting the mine’s production schedule. To ensure the smooth completion of the haulage operation plan under abnormal conditions, a model of the haulage equipment rescheduling plan based on the random simulation of equipment breakdowns is established in this paper. The model aims to accomplish both the maximum completion rate of the original mining plan and the minimum fluctuation of the ore grade during the rescheduling period. This model is optimized by improving the wolf colony algorithm and changing the location update formula of the individuals in the wolf colony. Then, the optimal model solution can be used to optimize the rescheduling of the haulage plan by considering equipment breakdowns. The application of the proposed method in an underground mine revealed that the completion rate of the mine’s daily mining plan reached 83.40% without increasing the amount of equipment, while the ore quality remained stable. Moreover, the improved optimization algorithm converged quickly and was characterized by high robustness.

show abstract

“…In predictive-reactive scheduling, predictive schedules are created for current production environment and schedules can be changed after the occurrence of some certain events such as machine breakdowns, new job arrivals, rush orders, customer demands change, etc. [6][7][8][9] or after the performance measures reach their threshold values. Proactive schedules try to generate initial schedules considering the possible future disruptions and apply it for scheduling period without rescheduling.…”

Section: Introductionmentioning

confidence: 99%

A Reactive Scheduling Approach Based on Fuzzy Inference for Hybrid Flowshop Systems

Araz¹,

Eski²,

Araz³

2019

Int. j. simul. model.

View full text Add to dashboard Cite

Hybrid flowshops consist of multiple production stages each of which has multiple parallel machines. Scheduling of hybrid flowshops is a NP-hard even in its simplest form. The presence of uncertainty in real-world problems forces the decision makers to reconsider their scheduling decisions in reactive manner. In this study, we proposed a proactive-reactive scheduling approach which allows to be changed dispatching rule set applied in time. The methodology consists of three parts: Shop Floor Management system with a triggering mechanism based on fuzzy inference system, performance prediction of the alternative dispatching rule sets based on Taguchi design, simulation, artificial neural networks, and a multi-criteria decision making methodology for determining new scheduling dispatching rule set. The proposed approach is applied on a real world problem from literature and the results are compared with static approach.

show abstract

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

Cited by 4 publications

References 19 publications

Rescheduling Plan Optimization of Underground Mine Haulage Equipment Based on Random Breakdown Simulation

Rescheduling Plan Optimization of Underground Mine Haulage Equipment Based on Random Breakdown Simulation

Rescheduling Plan Optimization of Underground Mine Haulage Equipment Based on Random Breakdown Simulation

A Reactive Scheduling Approach Based on Fuzzy Inference for Hybrid Flowshop Systems

Contact Info

Product

Resources

About