A Queuing Network Model for Solving Facility Layout Problem in Multifloor Flow Shop

Liu, Xiaopeng; Zhang, Hui-Yu; Lin, Jun; Chen, Xuanrui; Chen, Qingxin; Mao, Ning

doi:10.1109/access.2022.3179711

Cited by 5 publications

(3 citation statements)

References 40 publications

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“…In relation to manufacturing systems, the solution of problems of facilities multi-floor layout is aimed at optimizing the placement of technological equipment and freight elevators in buildings to achieve efficient production logistics. As a result of this optimization, the highest performance of multi-floor manufacturing is ensured while reducing the lead times and work in progress (Drira et al, 2007;Khaksar-Haghani et al, 2011;Ahmadi et al, 2017;Karateke et al, 2022;Liu et al, 2022;Koumboulis et al, 2023). Optimizing energy consumption is also important.…”

Section: Facilities Multi-floor Layout Problem In the Smart Sustainab...mentioning

confidence: 99%

“…For this purpose, it would be possible to adapt Home energy-management system solutions (HEMS) to reduce the carbon footprint (Gualandri and Kuzior, 2023). The overwhelming number of optimizing problems the facilities multi-floor layout is associated with the consideration of a holistic model of the facilities layout of the entire production building at the stage of its design or business processes reengineering existing structures (Ahmadi et al, 2017;Karateke et al, 2022;Liu et al, 2022;Koumboulis et al, 2023). However, it is quite difficult to implement such an approach to the formation of a facilities multi-floor layout in the production buildings of the CMFMC due to the dominance of SMEs with their own vision of the current market conditions.…”

Section: Facilities Multi-floor Layout Problem In the Smart Sustainab...mentioning

confidence: 99%

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Green technologies in smart city multifloor manufacturing clusters: A framework for additive manufacturing management

Deja,

Ślączka,

Dzhuguryan

et al. 2023

Production Engineering Archives

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The development of smart sustainable megapolises is associated with the formation of city multifloor manufacturing clusters (CMFMCs) in them directly in the residential area in order to reduce the supply chain from the manufacturer to consumers. Additive technologies (ATs) belong to green technologies because they are considered environmentally sustainable due to less production waste and the ability to reuse of product materials within the circular economy concept. Sustainable development of ATs and additive manufacturing management has become a priority sphere for scientific research, and the use of ATs in the city manufacturing has become any daily reality. Nevertheless, the issues of additive manufacturing management within the CMFMCs have not yet been sufficiently studied. The primary goal of this study was to examine the possibilities of additive manufacturing management in the CMFMCs of the megapolis due to the rational facilities multi-floor layout in production buildings, considering the structure of city manufacturing and business process reengineering related to the needs of the production services market. This paper presents a novel model of facilities multi-floor layout in the production buildings of the CMFMCs, considering the structure of city manufacturing, morphological analysis of the additive manufacturing equipment (AME) used, the balance of material and energy flows under infrastructure capacity limitations of megapolis. The model was verified based on a case study for various options of the floor-by-floor grouping of AME in a building of the CMFMCs. Management solutions for maintaining the flow balance of material, energy and water resources in the CMFMCs are discussed. The results may be useful for additive manufacturing management in an urban environment, taking into account the needs of the production services market in the megapolis.

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Section: Facilities Multi-floor Layout Problem In the Smart Sustainab...mentioning

confidence: 99%

Section: Facilities Multi-floor Layout Problem In the Smart Sustainab...mentioning

confidence: 99%

Green technologies in smart city multifloor manufacturing clusters: A framework for additive manufacturing management

Deja,

Ślączka,

Dzhuguryan

et al. 2023

Production Engineering Archives

View full text Add to dashboard Cite

show abstract

“…In the present paper, we are concerned with Stochastic Discrete-Event Systems [4], which are used for modeling, controlling, diagnosing, and analyzing the performance of uncertain systems whose dynamics are driven by the occurrence of random events [1], [24], [16]. Applications include industry and intelligent systems, networked systems, service networks, material handling systems [23], [22], [15] and maintenance [21] .…”

Section: Introductionmentioning

confidence: 99%

Stochastic Timed Discrete-Event Systems: Modular Modeling and Performance Evaluation Through Markovian Jumps

Maia

2022

IEEE Access

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We are interested in a scalable, flexible, and modular methodology, for modeling and performance analysis of stochastic discrete-event systems (SDES). In this sense, we propose a modular approach for timing non-markovian SDES expressed as a parallel composition of modules that interacts with each other through events. We show how general distribution for event lifetimes can be implemented systematically by coupling timing modules to the system model. As a result, this coupling mechanism preserves modularity, leading to a compact markovian model expressed in terms of flexible modules. Therefore the methodology allows us to write the whole SDES model as a composition of the system model and the timing one, giving flexibility and scalability in modeling design, as we can modify the modules individually according to the designer's interests. In addition, from the whole markovian SDES model, we show how to perform the model analysis through the analytic approach, as well as through Monte Carlo computer simulation. As an application, we present a numerical example of computing the abandonment rate for a service network with general service time employing both analytical and computer-simulation models.

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A constrained multi-objective multi-floor facility layout problem

Kalita,

Datta

2024

Int J Interact Des Manuf

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A Queuing Network Model for Solving Facility Layout Problem in Multifloor Flow Shop

Cited by 5 publications

References 40 publications

Green technologies in smart city multifloor manufacturing clusters: A framework for additive manufacturing management

Green technologies in smart city multifloor manufacturing clusters: A framework for additive manufacturing management

Stochastic Timed Discrete-Event Systems: Modular Modeling and Performance Evaluation Through Markovian Jumps

A constrained multi-objective multi-floor facility layout problem

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