Production Control to Reduce Starvation in a Partially Flexible Production-Inventory System

Zhao, Cong; Kang, Ningxuan; Li, Jingshan; Horst, John A.

doi:10.1109/tac.2017.2717940

Cited by 25 publications

(6 citation statements)

References 48 publications

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“…Such works are extended to lines with setups and assembly systems in [35] and [36], respectively. Optimal production control has been investigated in [37] and [38] for partially flexible systems, where dedicated downstream lines are supplied by a flexible upstream line with batch operation and setups, using Bernoulli and geometric models, respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Such models are suitable for assembly type of machines whose average downtime is comparable to its cycle time. Bernoulli models have been successfully applied in automotive and many other industries (see case studies in and representative papers [34]-[37], [39]-[47]). In case of machines having different cycle times, a transformation can be introduced to make an equivalence of the original system into a Bernoulli line.…”

Section: Assumptions and Problem Formulationmentioning

confidence: 99%

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Scheduling policies in flexible Bernoulli lines with dedicated finite buffers

Park

Feng

2018

Journal of Manufacturing Systems

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This paper is devoted to studying scheduling policies in flexible serial lines with two Bernoulli machines and dedicated finite buffers. Priority, cyclic and work-in-process (WIP)-based scheduling policies are investigated. For small scale systems, exact solutions are derived using Markov chain models. For larger ones, a flexible line is decomposed into multiple interacting dedicated serial lines, and iteration procedures are introduced to approximate system production rate. Through extensive numerical experiments, it is shown that the approximation methods result in acceptable accuracy in throughput estimation. In addition, system-theoretic properties such as asymptotic behavior, reversibility, and monotonicity, as well as impact of buffer capacities are discussed, and comparisons of the scheduling policies are carried out.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Assumptions and Problem Formulationmentioning

confidence: 99%

Scheduling policies in flexible Bernoulli lines with dedicated finite buffers

Park

Feng

2018

Journal of Manufacturing Systems

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“…Secondly, minimizing the workload of the operator on each workstation when cycle time and workstation 2 cannot be altered. And thirdly, to improve man and machine resource utilization by reducing the idle time [1].…”

Section: Introductionmentioning

confidence: 99%

Assessment and Enhancementofthe Manufacturing Productivity through Discrete Event Simulation

Alsaadi

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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A balanced and resource-efficient assembly line plays a pivotal role in deciding the profit or loss of an industry. In automotive industries, the productivity of the specific materials is highly dependent on several explanatory variables and the processing operations. Moreover, in this 21st century, simulation is considered a powerful and cost-efficient tool for the designing and analysis of manufacturing operations. Therefore, in this research work, a case-study-based assessment of the assembly line in an automotive component vendor company has been proposed through the study of discrete events. Different processing operations are analyzed in terms of the productivity and effective utilization of available resources. The proposed model is set up by taking actual data using time study techniques from each workstation and process along the production line. All the processes, starting from the arrival of raw materials, forging, to the packing of final products are studied and their data is used to set up a model in software. A detailed statistical distribution of the data urged us to simulate the working area in the virtual environment under the different scenarios to define the bottlenecks. The simulation results have elaborated the realistic sense and meaningful contribution towards the performance enhancement of all the processes involved in the production line. Interestingly, Discrete event simulation has helped us to increase productivity as well as reduce the cost by eradicating the less used resources of the assembly line. Based on the results obtained, it is highly recommended to utilize the proposed methodology in the production system for acquiring better-quality and cost-effective products.

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“…The defining trend of production and sales is the delivery of various products in multiple small batches within a short cycle. To meet to this trend, it is necessary to carry out flexible production centring on machines or job shops [1][2][3][4][5][6]. Flexible logistics provides a new logistics model that adapts to the personalized demand for production, sales, and consumption in the society today.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Flexible Production Logistics under Low Carbon Constraint

Wang¹,

Suo²

2022

Int. j. simul. model.

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Flexible production centring on machines or job-shops is necessary to meet the current trend of production and sales. By studying the energy consumption of production logistics, it is possible to minimize energy consumption and carbon emissions of the production process, without sacrificing production efficiency. The existing studies all try to optimize the logistics distribution. None of them attempt to optimize both production and logistics distribution parameters, and low carbon emission indices. Therefore, this paper explores the multi-objective optimization and carbon efficiency evaluation of flexible production logistics under low carbon constraint. Specifically, the constraint order between production logistics time, logistics quality, logistics cost, and low-carbon degree was determined, and the expressions of four linear programming models were given. Moreover, the carbon efficiency optimization of flexible production logistics was redefined, and a mathematical model was developed for the carbon efficiency optimization problem, which simultaneously optimizes carbon emissions and production indices. The proposed model was proved scientific through experiments.

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Production Control to Reduce Starvation in a Partially Flexible Production-Inventory System

Cited by 25 publications

References 48 publications

Scheduling policies in flexible Bernoulli lines with dedicated finite buffers

Scheduling policies in flexible Bernoulli lines with dedicated finite buffers

Assessment and Enhancementofthe Manufacturing Productivity through Discrete Event Simulation

Optimization of Flexible Production Logistics under Low Carbon Constraint

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