An optimisation model for the dynamic management of cellular reconfigurable manufacturing systems under auxiliary module availability constraints

Bortolini, Marco; Ferrari, Emilio; Galizia, Francesco Gabriele; Regattieri, Alberto

doi:10.1016/j.jmsy.2021.01.001

Cited by 32 publications

(20 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The model by Bortolini et al [35,36] was made in two iterations with the purpose to evaluate the performance of reconfigurable systems. The scope covers a system of cells with machines wherein modules can be reconfigured to execute production tasks of imposed batches of parts.…”

Section: Models With a System Scopementioning

confidence: 99%

“…The scope covers a system of cells with machines wherein modules can be reconfigured to execute production tasks of imposed batches of parts. The latter model considers scarcity of system modules [36] as opposed to being available in an infinite amount [35]. LP is used to minimize (i) the (dis-)assembly time of machines and (ii) the inter-cellular travel time of modules and parts.…”

Section: Models With a System Scopementioning

confidence: 99%

See 1 more Smart Citation

Enabling adaptability and resilience of a global production network: A model to evaluate capital and operational expenses of reconfigurable production systems

Kjeldgaard

Andersen

Brunoe

2023

Journal of Manufacturing Systems

View full text Add to dashboard Cite

Section: Models With a System Scopementioning

confidence: 99%

Section: Models With a System Scopementioning

confidence: 99%

Enabling adaptability and resilience of a global production network: A model to evaluate capital and operational expenses of reconfigurable production systems

Kjeldgaard

Andersen

Brunoe

2023

Journal of Manufacturing Systems

View full text Add to dashboard Cite

“…The most important attribute in incorporating changeability in any manufacturing system in the context of Industry 4.0 is reconfigurability (Pansare et al 2022b ). Furthermore, product complexities are constantly increasing, necessitating the use of modern manufacturing systems such as RMS to manufacture them in this scenario (Bortolini et al 2021 ). RMS practices and technologies such as Holonic manufacturing, Agent-based design, Cyber-Physical System (CPS), Digital Twins (DT), Industrial Internet of Things (IIoT), and many more are strengthening manufacturing systems in the Industry 4.0 era (Morgan et al 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Repurposing production operations during COVID-19 pandemic by integrating Industry 4.0 and reconfigurable manufacturing practices: an emerging economy perspective

Pansare

Yadav²

2022

Oper Manag Res

View full text Add to dashboard Cite

The Covid-19 pandemic has had a significant impact on manufacturing industries and supply chains. Manufacturing industries are struggling to repurpose their production activities and ramp up the supply chain to bridge the demand–supply gap. A framework that can cover Industry 4.0 technologies and reconfigurable manufacturing system (RMS) practices is desperately needed. The current study focuses primarily on the framework that could assist managers in decision-making and the stepwise adoption of RMS during repurposing. The extensive literature review was conducted to identify the prominent Industry 4.0 technologies and RMS practices. To compute the weights of selected practices, the novel Pythagorean fuzzy analytical hierarchy process (AHP) was used; while the Pythagorean fuzzy combined compromise solution (CoCoSo) method was used to prioritize the selected performance metrics. To test the robustness of the developed framework, a sensitivity analysis was carried out. According to the findings, smart factory adoption (SFA) practices were the most significant among the major criteria, followed by reconfiguration practices (RCP), soft computing practices (SCP), sustainable & circular economy practices (SCE), and quality practices (QPS). SFA's advanced technologies and SCP's computer algorithms certainly assist in the repurposing of production activities (RPO). The results of the sensitivity analysis demonstrated the robustness of the developed framework. The developed framework will be useful during RPO, and the identified practices can make a significant contribution. Advanced technologies and sustainable practices can help to improve the organization's work culture. Managers will be able to evaluate the organization's performance with the help of identified performance metrics. The work presented here may be the first attempt to develop a framework for RPO in a pandemic situation.

show abstract

“…Introduction. Cellular manufacturing has received lots of attention in the past few decades [2], [11], [12]. It organizes production equipment into machine cells, where each cell specializes in the production of a part family [12].…”

mentioning

confidence: 99%

“…The proposed framework ensures the feasibility of formation and reconfiguration plans. (2) We formulate a new two-phase DVCF model for a single planning cycle, and consider the objective of reconfiguration stability for this model. (3) We propose a hybrid metaheuristic to solve the proposed model, and verify the proposed method has a greater improvement than multi-objective cuckoo search (MOCS) and NSGA-II in solution quality and optimal solution size.…”

mentioning

confidence: 99%

Dynamic virtual cellular reconfiguration for capacity planning of market-oriented production systems

Zhang¹,

Guan²,

Fang³

et al. 2023

JIMO

View full text Add to dashboard Cite

<p style='text-indent:20px;'>Market-oriented production systems generally have the characteristics of multi-product and small-batch production. Dynamic virtual cellular manufacturing systems create virtual manufacturing cells periodically in a planning horizon to respond to changing demands flexibly and quickly, and thus are suitable for production planning problems of market-oriented production systems. In the current research, we propose a dynamic virtual cell reconfiguration framework under a dynamic environment with unstable demands and multiple planning cycles. In this framework, we formulate a two-phase dynamic virtual cell formation (DVCF) model. In the first phase, the proposed model aims to maximize processing similarity and balance the workload in the system. In the second phase, we consider the objective of reconfiguration stability based on the first phase model. To address the proposed model, we design a hybrid metaheuristic named Lévy-NSGA-Ⅱ, and perform various computational experiments to examine the performance of the proposed algorithm. Results of experiments indicate that the proposed Lévy-NSGA-Ⅱ based algorithm outperforms multi-objective cuckoo search (MOCS) and NSGA-Ⅱ in solution quality and optimal solution size.</p>

show abstract

An optimisation model for the dynamic management of cellular reconfigurable manufacturing systems under auxiliary module availability constraints

Cited by 32 publications

References 37 publications

Enabling adaptability and resilience of a global production network: A model to evaluate capital and operational expenses of reconfigurable production systems

Enabling adaptability and resilience of a global production network: A model to evaluate capital and operational expenses of reconfigurable production systems

Repurposing production operations during COVID-19 pandemic by integrating Industry 4.0 and reconfigurable manufacturing practices: an emerging economy perspective

Dynamic virtual cellular reconfiguration for capacity planning of market-oriented production systems

Contact Info

Product

Resources

About