Integrated optimization of dynamic cell formation and hierarchical production planning problems

Xue, Guisen; Offodile, O. Felix

doi:10.1016/j.cie.2019.106155

Cited by 21 publications

(10 citation statements)

References 37 publications

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“…Alaei et al, discussed a dynamic cell production system under discrete scenarios with random product demand [9]. Xue and Offodile used a hierarchical production planning model to solve the problem of cell reconfiguration with different needs in different periods [10]. Dehnavi-Arani et al, considered the production of customer orders in which the entry, volume and type of product of customer orders is random and all products enter and exit production systems in a single order [11].…”

Section: Cell Production Systemmentioning

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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Section: Cell Production Systemmentioning

confidence: 99%

Cell Production System Design: A Literature Review

Ghahremani-Nahr

Bathaee

Mazloumzadeh

et al. 2021

IJIMES

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“…Bagheri et al (2019) deal with the multi-period cell formation problem which takes into account grouping efficacy, total costs, and worker factors in a dynamic environment. Xue and Offodile (2020) propose a nonlinear mixed integer programming model integrating dynamic cell formation and hierarchical production planning. Kia (2020) presents a mixed integer nonlinear programming model for designing a cellular manufacturing system under a dynamic condition and making aggregate planning decisions simultaneously.…”

Section: Introductionmentioning

confidence: 99%

A mathematical programming model with present value method for optimum design of flexible cellular manufacturing systems

Yılmaz

2022

JER is an international, peer-reviewed journal that publishes f

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In this article, an integer mathematical programming model for the design problem of flexible cellular manufacturing systems is proposed. The developed mathematical programming model whose objective function is to minimize total design cost including cost of operating parts on machines, cost of using tools on machines, and cost of assigning employees to cells, also contains the present value method. Thus, it is ensured that the operational costs that occur along a certain time period are also taken into account. LINGO 19.0 optimization program software is used for the optimum solution of the integer mathematical programming model with the present value method whose objective function is to minimize the total design cost. In this article, the application of the model and the analysis related to the model are shown using a developed example problem. In addition, by ensuring the optimum design of flexible cellular manufacturing systems, the results of which alternative routes are used for processing parts, which machines are located in which cells, and which employees are assigned to which cells, are obtained. Then, a sensitivity analysis is presented to show the importance of alternative routes of parts.

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“…CM involves manufacturing a group of similar parts on a collection of machines or manufacturing processes [16]. The use of CM results in numerous important benefits, including reductions in material handling cost, set-up time, workin-process inventory, throughput time, and increase in quality and scheduling simplicity [17][18].…”

Section: Introductionmentioning

confidence: 99%

Making an integrated decision in a three-stage supply chain along with cellular manufacturing under uncertain environments: A queueing-based analysis

Esmailnezhad

Saidi‐Mehrabad

2021

RAIRO-Oper. Res.

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Today’s complicated business environment has underscored the importance of integrated decision-making in supply chains. In this paper, a novel mixed-integer nonlinear mathematical model is proposed to integrate cellular manufacturing systems into a three-stage supply chain to deal with customers' changing demands, which has been little explored in the literature. This model determines the types of vehicles to transport raw materials and final parts, the suppliers to procure, the priorities of parts to be processed, and the cell formation to configure work centers. In addition, queueing theory is used to formulate the uncertainties in demands, processing times, and transportation times in the model more realistically. A linearization method is employed to facilitate the tractability of the model. A genetic algorithm is also developed to deal with the NP-hardness of the problem. Numerous instances are used to validate the effectiveness of the modeling and the efficiency of solution procedures. Finally, a sensitivity analysis and a real case study are discussed to provide important management insights and evaluate the applicability of the proposed model.

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Integrated optimization of dynamic cell formation and hierarchical production planning problems

Cited by 21 publications

References 37 publications

Cell Production System Design: A Literature Review

Cell Production System Design: A Literature Review

A mathematical programming model with present value method for optimum design of flexible cellular manufacturing systems

Making an integrated decision in a three-stage supply chain along with cellular manufacturing under uncertain environments: A queueing-based analysis

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