Design of virtual manufacturing cells: a mathematical programming approach

Slomp, Jannes; Chowdary, Boppana V.; Suresh, Nallan C.

doi:10.1016/j.rcim.2004.11.001

Cited by 80 publications

(44 citation statements)

References 20 publications

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“…High usability and exciting philosophy of Goal Programing (GP) for practitioners and researchers in handling decision-making problems with multi-objective structures made it very applicable [24,25]. In [26], an interactive GP model was created for virtual manufacturing cells procedure, while Mahdavi et al (2011) developed a fuzzy GP method for solving a multi-objective model of production planning in a virtual manufacturing system [27]. Wong developed a Decision Support System (DSS) using fuzzy logic based on expert judgments to select 3PL [28].…”

Section: Mathematical Modelsmentioning

confidence: 99%

A multi objective SCOR-Based Decision Alignment for Supply Chain Performance Management

2017

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Abstract. A dynamic integrated solution to three main problems through integrating all metrics using SCOR is proposed in this research. This dynamic solution comprises strategic decisions in high level, operational decisions in low level, and alignment of these two decision levels. In this regard, a human intelligence-based process for high-level decisions and machine-intelligence based Decision Support Systems (DSSs) for low-level decisions are proposed using a novel approach. The presented operational model considers important supply chain features thoroughly, such as di erent echelons, several suppliers, several manufacturers, and several products, during multiple periods. A multi-objective mathematical programming model is then developed to yield the operational decisions with Pareto e cient performance values and solved using a well-known meta-heuristic algorithm, i.e., NSGAII, the parameters of which are tuned using Taguchi method. Afterwards, an intermediate machine-intelligence module is used to determine the best operational solution based on the strategic idea of the decision maker. The e ciency of the proposed framework is shown through numerical example and then, a sensitivity analysis is conducted for the obtained results so as to show the impact of the strategic scenario planning on the performance of the considered supply chain.

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Section: Mathematical Modelsmentioning

confidence: 99%

A multi objective SCOR-Based Decision Alignment for Supply Chain Performance Management

2017

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“…Whereas the research on VCMSs is still in a preliminary stage, it has gained momentum during the last decade and a wide and diverse variety of solution techniques have been applied mostly for solving part-machine cell formation problems and making schedule for VCMSs, including (Babu, et al, 2000;Drolet, 1989;Fung, et al, 2008;Khilwani, et al, 2009;Ko & Egbelu, 2003;Mak, et al, 2005;Mak, et al, 2007;Rezazadeh, et al, 2009;Saad, et al, 2002;Slomp, et al, 2005;Xambre & Vilarinho, 2007).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Virtual cells are generally generated over a functional layout (Drolet, 1989;Kannan, 1997;Kannan and Ghosh, 1996b;Ko and Egbelu, 2003;Slomp, et al, 2005). Kannan et al(1998;1996a, 1996b studied the performance of virtual cells formed over a functional layout and concluded that these cells could enhance productions performance in volatile manufacturing environments.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Therefore, rearrangement costs may be occurred to systems, and long times must be taken. In addition, doing reconfiguration very frequently may become impractical or even infeasible (Slomp, et al, 2005). Although a cellular layout simplifies workflow and reduces material handling efforts, in dynamic environments with fluctuating demands and unpredictable parts-mix compositions, implementation of CMSs is difficult.…”

Section: Introductionmentioning

confidence: 99%

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Virtual cellular manufacturing system based on resource element approach and analyzing its performance over different basic layouts

Hamedi¹,

Esmaeilian²,

Ariffin³

2012

ijiec

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This research aims to present how choosing a suitable layout can improve the performance of virtual cellular manufacturing systems (VCMSs), especially minimizing the material flow between machines required by each family group. To present the efficacy of basic layouts on performances of VCMSs, a multi-objective mathematical model with a goal programming (GP) approach is developed to generate VCMSs based on resource-elements (REs). The formulated model is coded in Lingo software and is run over functional and distributed arrangements of the same machines. The performance and the validity of the developed model are checked by a numerical example taken from the literature. The objective function of the mathematical model is measured for that example over two mentioned layout to compare the performance of the generated systems. Moreover, because of the material handling costs importance, material flows are measured to find the best option as a basic layout for VCMSs. To compare the performance of the generated system with the classical cellular manufacturing system (CMS), cell capacity utilization (CCU) is employed as an independent criterion to evaluate each system. The result illustrates the priority of distributed layouts for generating RE-based VCMSs because of its flexibility, minimizing the objective function for the mathematical model, and smaller material flow by the components. In addition, the generated VCMSs outperforms the classical CMS from the CCU point of view.

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“…Multi-species batch production enterprises take the cellular manufacturing have become a development trend. In recent years, foreign studies more focused on physical and technical factors of equipment layout and production processes [1][2][3][4], as well as the production organizational forms and technical support based on multi-enterprise co-production [5,6]. China's theoretical according to the status and existing problems in Chinese manufacturing, had done many researches on the construction of production cells and network production systems, production scheduling in the cases of single enterprise and multi-enterprise cooperation [7,8].…”

Section: Introductionmentioning

confidence: 99%

Research on Model and Mechanism of Autonomous Management for Cellular Manufacturing

Zhang¹,

Li²

2011

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International Engineering Consortium predicted that cellular manufacturing would become the main production model of manufacturing enterprises in the future. Based on elaborating the basic concepts, this paper proposes organizational forms, autonomous management models and coordination mechanism of cellular manufacturing, and takes expected return of two production cells as a coordination example, then gives coordination process and coordination strategy of cellular manufacturing, so as to expand production management theory and provide reference to cellular manufacturing enterprises.

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Design of virtual manufacturing cells: a mathematical programming approach

Cited by 80 publications

References 20 publications

A multi objective SCOR-Based Decision Alignment for Supply Chain Performance Management

A multi objective SCOR-Based Decision Alignment for Supply Chain Performance Management

Virtual cellular manufacturing system based on resource element approach and analyzing its performance over different basic layouts

Research on Model and Mechanism of Autonomous Management for Cellular Manufacturing

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