A possibilistic approach for designing hybrid cellular manufacturing systems

Torabi, S. Ali; Amiri, Alireza Shamekhi

doi:10.1080/00207543.2011.590827

Cited by 9 publications

(3 citation statements)

References 24 publications

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“…The coefficients of objective functions include TFNs, and their expected value (EV) is to be computed. Suppose ∼ C (c l , c m ,c u ) is a TFN and the expected value of this TFN is calculated by using Equation (A9) [65].…”

Section: Data Availability Statementmentioning

confidence: 99%

A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers

Ulutaş,

Kiridena,

Shukla

et al. 2023

Axioms

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In light of the rapid rate of change and unforeseen occurrences seen in the realms of technology, market dynamics, and the wider business landscape, there is a growing need for the inclusion of uncertainty and risk factors in the realm of supply chain planning. Supplier evaluation and selection (SES) is a major strategic decision area where the impact of uncertainty and risk can be more proactively dealt with. A review of extant literature reveals that there is a strong need for developing practitioner-oriented and more comprehensive frameworks and models to mitigate both the capability- and performance-related risks, in the context of SES decisions. This paper presents an integrated model to support SES decisions involving quantity discounts and multiple planning periods under stochastic conditions. The proposed model employs the Fuzzy Analytical Hierarchy Process (FAHP), Fuzzy Evaluation Based on Distance from Average Solution EDAS (EDAS-F), and fuzzy stochastic goal programming (FSGP) to effectively address the above requirements. A case study from a garment manufacturing industry is used to demonstrate the efficacy of the proposed model. The findings of the study provide confirmation that the suggested FSIM has the ability to provide substantial advantages in the context of making choices related to quantity discounts in SES. The proposed FSIM model incorporates the use of FAHP and EDAS-F techniques to effectively reduce the number of suppliers to a manageable level, taking into consideration capability-based risks. Additionally, fuzzy stochastic goal programming (FSGP) is employed to mitigate performance-based risks, enabling the selection of suppliers and the allocation of orders among them. The paper contributes to the literature by proposing a comprehensive framework to solve the SES problem, considering certain practical situations faced by organizations.

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Section: Data Availability Statementmentioning

confidence: 99%

A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers

Ulutaş,

Kiridena,

Shukla

et al. 2023

Axioms

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“…They proposed an adaptive fuzzy ranking method to identify low-demand, non-repetitive components assigned to a functional cell. Then, they use an interactive programming model for the Cell arrangement problem to allocate the remaining components [144]. Arikan et al, presented a new satisfactory multi-objective fuzzy model for designing a cell production system.…”

Section: Mathematical Programmingmentioning

confidence: 99%

Cell Production System Design: A Literature Review

Ghahremani-Nahr

Bathaee

Mazloumzadeh

et al. 2021

IJIMES

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In a cell production system, a number of machines that differ in function are housed in the same cell. The task of these cells is to complete operations on similar parts that are in the same group. Determining the family of machine parts and cells is one of the major design problems of production cells. Cell production system design methods include clustering, graph theory, artificial intelligence, meta-heuristic, simulation, mathematical programming. This article discusses the operation of methods and research in the field of cell production system design. Methodology:To examine these methods, from 187 articles published in this field by authoritative scientific sources, based on the year of publication and the number of restrictions considered and close to reality, which are searched using the keywords of these restrictions and among them articles Various aspects of production and design problems, such as considering machine costs and cell size and process routing, have been selected simultaneously.Findings: Finally, the distribution diagram of the use of these methods and the limitations considered by their researchers, shows the use and efficiency of each of these methods. By examining them, more efficient and efficient design fields of this type of production system can be identified.Originality/Value: In this article, the literature on cell production system from 1972 to 2021 has been reviewed.

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“…The proposed algorithm is compared with benchmarked algorithm from the literature. Torabi and Amiri 10 present a two-phase approach for the design of the hybrid cellular manufacturing system. Products are classified into stable and special groups by using a newly proposed adaptive fuzzy ranking method.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-agent-based scheduling methods for hybrid cellular production lines in semiconductor industry

Kim

Chung

Yoon

2014

Proceedings of the Institution of Mechanical Engineers, Part B:

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This article addresses scheduling problems for the hybrid cellular production lines in the semiconductor industry, in which the hybrid cellular production line is defined as the production system composed of both single-functional and multi-functional cellular layouts. Detailed system configuration and material flow of a hybrid cellular production line are presented, and then, the scheduling problems in the hybrid cellular production line are separated into an inter-cell scheduling problem and intra-cell scheduling problems. A multi-agent-based scheduling method is proposed for the inter-cell scheduling problem, and a real-time heuristic scheduling method is proposed for the intra-cell scheduling problem. In the simulation experiments, various scenarios have been compared under the proposed inter-cell and intra-cell scheduling methods with the hybrid cellular production line composed of six cells.

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A possibilistic approach for designing hybrid cellular manufacturing systems

Cited by 9 publications

References 24 publications

A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers

A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers

Cell Production System Design: A Literature Review

Multi-agent-based scheduling methods for hybrid cellular production lines in semiconductor industry

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