Allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systems

Renna, Paolo

doi:10.5267/j.ijiec.2016.12.001

Cited by 9 publications

(7 citation statements)

References 22 publications

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“…There are some works that, similarly, address investment to improve performance in maintenance activities. Those works offer simulations to test different parameters and scenarios to improve the performance of manufacturing systems, providing better decision-making strategies (Renna, 2017;Renna & Ambrico, 2019). One of them, provides the "worst-case strategy" (regarding setup-time and time between failures), suggesting that the goal is to remove extreme events and implement solutions with ease while avoiding high costs (Utiyama et al, 2021).…”

Section: Discussion and Limitationsmentioning

confidence: 99%

Digital transformation in maintenance: interoperability-based adequacy aiming smart legacy systems

Venâncio

Brezinski

Leal³

et al. 2023

Prod.

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Paper aims: The Industry 4.0 movement highlights the importance of information and communication technologies and the two main reasons for this are advances in digitalization and automation. However, organizations trying to implement technologies face several barriers in their systems. These barriers are intensified in legacy systems, tightly coupled to organizational processes. Thus, to overcome these barriers, an adequacy strategy was structured, and detailed in the context of interoperability.Originality: This article proposes a digital transformation framework focused on interoperability in maintenance systems.Research method: Aiming to make legacy systems work together with cyber-physical systems, the proposed framework suggests its suitability based on strategic decisions, using Multicriteria Decision Making (MCDM) methods. Main findings:The framework outputs demonstrate that people are the main drivers of digital transformation and that the strategies proposed by it are coherent with the actual development of both cases, proven in a new interview one year apart from its application.Implications for theory and practice: Real industrial cases demonstrate that the framework can guarantee interoperability while facilitating strategic decisions to implement technologies in legacy maintenance systems. In the end, the legacy system, which will interoperate with the new technologies, is called Smart Legacy System.

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Section: Discussion and Limitationsmentioning

confidence: 99%

Digital transformation in maintenance: interoperability-based adequacy aiming smart legacy systems

Venâncio

Brezinski

Leal³

et al. 2023

Prod.

View full text Add to dashboard Cite

show abstract

“…The results obtained show relevant improvements with the modified production schedule. Three policies of improvement allocation (centralized, distributed, and proportional) are proposed to focus the processing time reduction using the information derived from the workload control [26]. The simulation results can support the choice among the policies in determining manufacturing conditions.…”

Section: Literature Overviewmentioning

confidence: 98%

Workload Control Order Release With Controllable Processing Time Policies: An Assessment by Simulation

Renna¹

2022

Int J Ind Eng Manag

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“…Dependability Lateness 54 Percentage of tardy jobs 15 Service level 25 Tardiness 32 3. Shop load-related Number of jobs in queue 55 Utilization rate 56 WIP level 8 Workload balance 57 4. Market-related Percentage of accepted orders or ‘strike rate’ 58 Volume of accepted orders 59 5.…”

Section: Performance Assessment Of a Wlc Systemmentioning

confidence: 99%

A new perspective on Workload Control by measuring operating performances through an economic valorization

Mezzogori

Romagnoli

Zammori

2022

Sci Rep

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Workload Control (WLC) is a production planning and control system conceived to reduce queuing times of job-shop systems, and to offer a solution to the lead time syndrome; a critical issue that often bewilders make-to-order manufacturers. Nowadays, advantages of WLC are unanimously acknowledged, but real successful stories are still limited. This paper starts from the lack of a consistent way to assess performance of WLC, an important burden for its acceptance in the industry. As researchers often put more focus on the performance measures that better confirm their hypotheses, many measures, related to different WLC features, have emerged over years. However, this excess of measures may even mislead practitioners, in the evaluation of alternative production planning and control systems. To close this gap, we propose quantifying the main benefit of WLC in economic terms, as this is the easiest, and probably only way, to compare different and even conflicting performance measures. Costs and incomes are identified and used to develop an overall economic measure that can be used to evaluate, or even to fine tune, the operating features of WLC. The quality of our approach is finally demonstrated via simulation, considering the 6-machines job-shop scenario typically adopted as benchmark in technical literature.

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Allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systems

Cited by 9 publications

References 22 publications

Digital transformation in maintenance: interoperability-based adequacy aiming smart legacy systems

Digital transformation in maintenance: interoperability-based adequacy aiming smart legacy systems

Workload Control Order Release With Controllable Processing Time Policies: An Assessment by Simulation

A new perspective on Workload Control by measuring operating performances through an economic valorization

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