An Integrated Approach for the Selection and Design of
Assembly Systems

Boubekri, Nourredine; Nagaraj, Srinivasan

doi:10.1108/09576069310023810

Cited by 9 publications

(4 citation statements)

References 3 publications

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“…Feasible solutions, consisting of a matched element from each set, can be obtained accordingly. Boubekri and Nagaraj [4] considered the selection of feasible assembly methods along with the selection of technologies needed to assemble a given product. They developed an integrated methodology that accounts for the following factors: annual volume of the product, number of variants of the product, product life, and number of components in the product.…”

Section: Introductionmentioning

confidence: 99%

Assembly system synthesis using association rule discovery

ElMaraghy

Kashkoush

2015

Int J Adv Manuf Technol

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Assembly is the final process for product realization in which various parts, modules, and sub-assemblies are put together to build a product. Designing an assembly system typically involves many issues such as assembly equipment selection, assembly sequence planning, system layout, task assignments, and line balancing. Assembly system synthesis, specifically the choice of assembly resources/equipment, is examined in this paper. An association rule discovery model is employed to extract association relationships between existing and/or previous products and the systems used to assemble them. The extracted knowledge is used to synthesize assembly systems for new products that fall within the scope of their predecessors. The developed method is demonstrated using two examples from the automotive industry. System synthesis results that are consistent with the used assembly data instances are obtained in both examples. The presented systematic system synthesis method supports the utilization of existing legacy data in developing assembly systems for new product generations. This will lead to a significant reduction of time and effort needed to design assembly systems, particularly in applications that feature frequent design changes and updates, as in the automotive industry.

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Section: Introductionmentioning

confidence: 99%

Assembly system synthesis using association rule discovery

ElMaraghy

Kashkoush

2015

Int J Adv Manuf Technol

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“…In the literature, this problem is most often treated as a single objective problem and only the capacity constraints of the assembly shop are considered. For example, Boubekri and Nagaraj (1993) developed an integrated approach for the selection and design of assembly systems. A model for evolutionary implementation of efficient assembly systems was proposed by Rampersad (1994Rampersad ( , 1995.…”

Section: Introductionmentioning

confidence: 99%

Optimal Layout Selection Using Petri Net in an Automated Assembling Shop

Mahdavi

Paydar

Shirazi

et al. 2008

Proceedings of the Tenth International Conference on Enterprise Information Systems

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In today's competitive manufacturing systems, it is crucial to respond quickly to the demand of customers and to decrease total cost of production. To achieve higher performance of automated assembling shop, it is needed to utilize methods to minimize production cycle time (makespan) and work-in-process (WIP) in buffers. This paper intends to focus on the selection of optimal layout based on allocation of machines to different locations as they can perform similar operations with different processing times. The time Petri net (TPN) has been used to illustrate the applications of proposed model in case study.

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“…Methods focus on more specific tasks. The one described below (Boubkri and Nagaraj, 1993) This selection method might be useful to give an indication, but it lacks some important aspects. It is not dynamic, and does not consider the changes of technique and cost.…”

Section: Methodsmentioning

confidence: 99%

“…Selection schema(Boubkri and Nagaraj, 1993) The sum of key indicators; annual number of end products, number of models of the product, life cycle of the product, and number of parts in the product are essential when deciding on what attributes that are important in this selection schema.…”

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confidence: 99%

Decision Support When Configuring Automatic Systems

Sjöberg

Emerging Solutions for Future Manufacturing Systems

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, SWEDEN Automatic systems are used to varying extent within the manufacturing industvy. The challenge is to find the most advantageous applications of automation to the manufacturing system over time. Enquiries concerning automation appear when conSiguring or re-conjguring the manufacturing system. The objective of this paper is to describe and to evaluate existing methods that can be used as decision support when deciding on automation. A participating stua) was conducted within an automation project. The work procedures within the industry are often based on experience and not on systematic methods. Outgoingfiom these methods and industrial experience a frame work for a new method is suggested. Issues that are critical to a useful and applicable decision method are pinpointed and discussed.

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An Integrated Approach for the Selection and Design of Assembly Systems

Cited by 9 publications

References 3 publications

Assembly system synthesis using association rule discovery

Assembly system synthesis using association rule discovery

Optimal Layout Selection Using Petri Net in an Automated Assembling Shop

Decision Support When Configuring Automatic Systems

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