A product-driven system approach for multilevel decisions in manufacturing planning and control

Herrera, Carlos; Thomas, André; Parada, Víctor

doi:10.1080/21693277.2014.949895

Cited by 6 publications

(2 citation statements)

References 14 publications

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“…A control part may contain routing control, process control, decision making and production information. This architecture is similar to tactical and operational decisions level proposed in [17].…”

Section: Related Workmentioning

confidence: 91%

Holonic Control of Poultry House Travelling Hopper Feeders and Comparative Cost Analysis

Sani

Shehu²,

Maijama’a

et al. 2020

Int. J. Eng. Tech. Mgmt. Res.

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This work is aimed at applying holonic control system to poultry house travelling hopper feeders with the comparative cost analysis. It adopts HCBA which is suitable for controlling the reconfigurable automated processes. The feeder consists of parts for different types of poultry feeds dispensable from the feed reservoirs and carried around by travelling hoppers along the feed carts. The simulations were carried out using MATLAB and SIMATIC software. The responses of the speed of each traveling hopper were determined to be 1.04 sec, 1.91 sec and 0.0841% for rise time, settling time and percentage overshoot respectively. The parameters of the embedded controller in STEP 7 CONT_C FB41 data block translate to a constant gain of 10, integral time constant of 100 ms and derivative time constant of 280 ms. Visual results from the HMI show the system’s ability for customization, cooperation and autonomy for implementation of any poultry feeding program. The cost analysis shows that it is profitable for farm capacity of 10,000 birds and above with low labour cost and average annual energy cost of about N708,000. The feed wastage loss is reduced by 66% while depreciation is 10% as compared to cage system with belted conveyor feeder.

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Section: Related Workmentioning

confidence: 91%

Holonic Control of Poultry House Travelling Hopper Feeders and Comparative Cost Analysis

Sani

Shehu²,

Maijama’a

et al. 2020

Int. J. Eng. Tech. Mgmt. Res.

View full text Add to dashboard Cite

show abstract

“…Agent-based models have autonomous roles, originating actions without direct human intervention. Herrera et al [50] conducted a simulation to coordinate different decision levels in a production system with intelligent product characteristics. They observed that coordination among active batches was more effective at distributed levels than traditional approaches.…”

Section: Related Workmentioning

confidence: 99%

Reducing Nervousness in Master Production Planning: A Systematic Approach Incorporating Product-Driven Strategies

2023

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Manufacturing companies face a significant challenge when developing their master production schedule, navigating unforeseen disruptions during daily operations. Moreover, fluctuations in demand pose a substantial risk to scheduling and are the main cause of instability and uncertainty in the system. To address these challenges, employing flexible systems to mitigate uncertainty without incurring additional costs and generate sustainable responses in industrial applications is crucial. This paper proposes a product-driven system to complement the master production plan generated by a mathematical model. This system incorporates intelligent agents that make production decisions with a function capable of reducing uncertainty without significantly increasing production costs. The agents modify or determine the forecasted production quantities for each cycle or period. In the case study conducted, a master production plan was established for 12 products over a one-year time horizon. The proposed solution achieved an 11.42% reduction in uncertainty, albeit with a 2.39% cost increase.

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Coupling predictive scheduling and reactive control in manufacturing hybrid control architectures: state of the art and future challenges

et al. 2015

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International audienceNowadays, industrials are seeking for models and methods that are not only able to provide efficient overall production performance, but also for reactive systems facing a growing set of unpredicted events. One important research activity in that field focuses on holonic/multi-agent control systems that couple predictive/proactive and reactive mechanisms into agents/holons. Meanwhile, not enough attention is paid to the optimization of this coupling. The aim of this paper is to depict the main research challenges that are to be addressed before expecting a large industrial dissemination. Relying on an extensive review of the state of the art, three main challenges are highlighted: the estimation of the future performances of the system in reactive mode, the design of efficient switching strategies between predictive and reactive modes and the design of efficient synchronization mechanisms to switch back to predictive mode. indicator of the production system, discrete-event observer, flexible manufacturing system

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A product-driven system approach for multilevel decisions in manufacturing planning and control

Cited by 6 publications

References 14 publications

Holonic Control of Poultry House Travelling Hopper Feeders and Comparative Cost Analysis

Holonic Control of Poultry House Travelling Hopper Feeders and Comparative Cost Analysis

Reducing Nervousness in Master Production Planning: A Systematic Approach Incorporating Product-Driven Strategies

Coupling predictive scheduling and reactive control in manufacturing hybrid control architectures: state of the art and future challenges

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