An integrated approach to machine selection and operation allocation problem

Guldogan, Evrim Ursavas

doi:10.1007/s00170-010-3063-y

Cited by 8 publications

(4 citation statements)

References 31 publications

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“…Koşucuoğlu and Bilge (2012) solved the FMS loading with consideration of material handling system. Guldogan (2011) proposed an integrated model of expert system based on knowledge engineering and the GA for MCDM in solving the MLP. Jahromi and Tavakkoli-Moghddam (2012) proposed a dynamic model of machine and operation selection problem with consideration of the movement policies of part and cutting tool in FMS.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-objective Production Planning for a Flexible Manufacturing System based on NSBBO Method

Thọ

2019

EIRJ

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The dramatic expansion in the global manufacturing market has created a demand for small and medium enterprise (SME) to apply the advanced manufacturing technology (AMT). The flexible manufacturing system (FMS) is considered as a highly competitive manufacturing strategy to ensure the success of the enterprises in the developing countries. The implementation of FMS, however, is an intractable task that requires complete integration of numerous components from various vendors. This paper presents a multi-objective production planning model for selecting the most suitable combination of machines and operations in machining processes to simultaneously minimize the system unbalance, makespan (MK) and total flow time. The proposed model considered the capacity of machines, tool magazines, batch sizes, processing time and the time taken to transport machining parts. Moreover, it also considered the different allocation of each part of batch into various machines. The principle of biogeography-based optimization (BBO) is adapted to explore the possibilities of attaining feasible solutions for a formulated problem. The most appropriate solutions in selecting the machine and operation allocation were determined based on non-dominated sorting BBO procedure (NSBBO) and validated by FlexSim simulation environment. The obtained results highlighted the practical applicability in the implementation of FMS.

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Section: Literature Reviewmentioning

confidence: 99%

Multi-objective Production Planning for a Flexible Manufacturing System based on NSBBO Method

Thọ

2019

EIRJ

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“…The model minimized the capital investment of RMS configurations to find the optimum number of parallel machines per stage and operation assignments. Guldogan [28] proposed a model integrating a knowledge-based expert system and GA to consider qualitative and quantitative parameters for machine selection and operation selection. Cus and Balic [15] proposed an optimization method based on genetic algorithms (GA) for generating cutting parameters in flexible manufacturing systems (FMS).…”

Section: Introductionmentioning

confidence: 99%

Drilling reconfigurable machine tool selection and process parameters optimization as a function of product demand

Vafadar

Hayward

Tolouei‐Rad

2017

Journal of Manufacturing Systems

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Special purpose machines (SPMs) are customized machine tools that perform specific machining operations in a variety of production contexts, including drilling-related operations. This research investigates the effect of optimal process parameters and SPM configuration on the machine tool selection problem versus product demand changes. A review of previous studies suggests that the application of optimization in the feasibility analysis stage of machine tool selection has received less attention by researchers. In this study, a simulated model using genetic algorithm is proposed to find the optimal process parameters and machine tool configuration. During the decision-making phase of machine tool selection, unit profit is targeted as high as possible and is given by the value of the following variables: SPM configuration selection, machining unit assignment to each operation group, and feed and cutting speed of all operations. The newly developed model generates any random chromosome characterized by feasible values for process parameters. Having shown how the problem is formulated, the research presents a case study which exemplifies the operation of the proposed model. The results show that the optimization results can provide critical information for making logical, accurate, and reliable decisions when selecting SPMs

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“…Some studies applied Decision Support Systems (DSS) which majority of existing DSSs are limited to selecting machine tools and manufacturing systems by applying optimization tools [26]. Several publications reported use of expert systems for machine tool assessment to consider qualitative information [10,27]. From the above it can be concluded that there are some research about machine tools evaluation for decision making of utilizing them by using intelligent systems; yet performing feasibility analysis of utilizing SPMs by using intelligent system based on the expert and experience knowledge has not been adequately addressed.…”

Section: Introductionmentioning

confidence: 99%

Technical feasibility analysis of utilizing special purpose machine tools

Vafadar

Tolouei‐Rad

Hayward

et al. 2016

Journal of Manufacturing Systems

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Special purpose machine tools (SPMs) are primarily used for performing drilling-related operations and are widely used in mass production including automotive component manufacturing. Utilization of SPM is considerably widespread; however, this technology is relatively new and expensive. The important problems facing manufacturing industries wishing to utilize this technology is feasibility analysis to decide whether a SPM can be utilised for production of the given part and if it is feasible which SPM components would be appropriate. Since the cost of utilizing SPM is high, feasibility analysis must be performed before any investment on detailed design. This paper proposes a technical feasibility analysis method which assists in deciding whether SPM is applicable for machining a given part to achieve the highest productivity. The method is based on the framework which consists of relations between the desired part properties to the characteristics of the SPM components. These relations are captured as rules and constraints in an intelligent system which is implemented in Visual Basic. Applying the proposed method to a number of industrial parts shows that it is a very useful tool in deciding when SPMs should be utilized

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An integrated approach to machine selection and operation allocation problem

Cited by 8 publications

References 31 publications

Multi-objective Production Planning for a Flexible Manufacturing System based on NSBBO Method

Multi-objective Production Planning for a Flexible Manufacturing System based on NSBBO Method

Drilling reconfigurable machine tool selection and process parameters optimization as a function of product demand

Technical feasibility analysis of utilizing special purpose machine tools

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