Flexible process plans: their value in flexible automation systems

Hutchinson, George K.; Pflughoeft, Kurt

doi:10.1080/00207549408956962

Cited by 59 publications

(19 citation statements)

References 17 publications

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“…Other references of interest include Bobrowski and Mabert (1988), Nasr and Elsayed (1990), Ro and Kim (1990), Karsiti, Cruz, and Mulligan (1992), Hutchinson and Pflughoeft (1994), Saygin, Chen, and Singh (2001), Chandra, Lin, and Talavage (2002), Sabuncuoglu and Kizilisik (2003), and Ozmutlu and Harmonosky (2004).…”

Section: Review Of the Literaturementioning

confidence: 98%

Scheduling of FMSs with information delays: A simulation study

Caprihan

Wadhwa

2005

Int J Flex Manuf Syst

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Practitioners and academicians throughout the world recognize the crucial role played by flexibility within manufacturing organizations, especially those engaged in small batch manufacture. However, although the concept of flexibility has begun to attract increased attention, its interaction with information integration and automation has not captured due attention. For example, it almost always has been assumed that a real-time control mechanism is available for exploiting routing flexibility on the shop floor. While this may be true for FMSs, it generally is not so for the vast majority of conventional manufacturing systems with varying levels of information integration and automation. The lack of a fully integrated and automated control mechanism within such semi-automated flexible manufacturing systems (SAFMSs) would eventually cause delays in the availability of shop status information. In this paper, we study the impact that defined modes of information delay have on the performance of a hypothetical SAFMS through detailed simulation experiments. Given that the level of routing flexibility is a controllable design parameter, our interest is in determining the impact that information delays have on decisions pertaining to the selection of appropriate levels of routing flexibility. To highlight the impact of information delays within the SAFMS, the Taguchi experimental design procedure is adopted as a performance evaluation and analysis vehicle, using makespan as a measure of performance. Simulation results indicate the presence of a system specific tolerance limit, operation below which minimizes performance loss. Springer 40 Int J Flex Manuf Syst (2005) 17: 39-65

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Section: Review Of the Literaturementioning

confidence: 98%

Scheduling of FMSs with information delays: A simulation study

Caprihan

Wadhwa

2005

Int J Flex Manuf Syst

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“…Parallelism can be measured by the number of parallel paths between the beginning and ending nodes of a manufacturing system [5]. Since operation flexibility is an assumed experimental factor, the parallelism is varied from 1 to 6.…”

Section: The Fms Modelmentioning

confidence: 99%

“…Hutchinson and Pflughoeft [5] employ a modified job-shop problem to test the benefits of operation flexibility (sequence flexibility). Operation flexibility occurs when an operation has more than one predecessor or successor.…”

Section: Introductionmentioning

confidence: 99%

Impact of operation flexibility and dispatching rules on the performance of a flexible manufacturing system

Chan

2004

Int J Adv Manuf Technol

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Operation flexibility is one of the eight common types of flexibility that exist in flexible manufacturing systems. Dispatching rules are commonly used in loading the machines. This paper studies the effects of different levels of operation flexibility and various dispatching rules on the performance of a flexible manufacturing system. The system performance considered is mean flow time. Simulation results indicate that the mean flow time cannot be always improved by increasing the level of operation flexibility. Altering the dispatching rules seems to have a more significant effect on the mean flow time performance than changing the level of operation flexibility.

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“…Although NLPP has also been used for flow shops and mass production, its advantages are greatest for job shops with small batch production [5]. The reported work in this area includes Hutchinson and Pflughoeft [6], Detand [7], ElMaraghy and ElMaraghy [8], Kruth and Detand [9], and Tonshoff et al [10].…”

Section: Review Of Related Workmentioning

confidence: 99%

A Dynamic Programming Based Process Planning Selection Strategy Considering Utilisation of Machines

Chang¹,

Chen

2002

The International Journal of Advanced Manufacturing Technology

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Computer-aided process planning (CAPP) has been recognised as a key element in computer-integrated manufacturing (CIM). Despite the fact that tremendous efforts have been made to develop CAPP systems, the benefits of CAPP in real-life manufacturing environments are not obvious. One of the main difficulties in applying CAPP in real manufacturing settings is the missing link between generated process plans and shopfloor activities. The assumptions that the shop floor remains static and there are unlimited resources available have caused a typical CAPP system to make a repetitive selection of the same most desirable machines for manufacturing different parts. When process plans for various parts are finally sent to the shop floor, process bottlenecks normally arise, making the generated plans ineffective.Some efforts have been made in the integration of process planning and shop floor activities; however, the problems associated with the lengthy time and impractical attempts at the generation of process plans, remain unsolved. Since in most cases, it is possible that several alternatives exist for machining a part by using different equipment, a stage-type network structure can be constructed. This paper introduces a dynamic programming based process plan selection strategy, enabling the efficient solution of this stage-type network problem. In this proposed strategy, the use of workstations is also taken into consideration so that the resulting plan is valid for the conditions that exist on the shop floor at the time an order is released. A case study has been provided to substantiate the effectiveness of this proposed strategy.

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Flexible process plans: their value in flexible automation systems

Cited by 59 publications

References 17 publications

Scheduling of FMSs with information delays: A simulation study

Scheduling of FMSs with information delays: A simulation study

Impact of operation flexibility and dispatching rules on the performance of a flexible manufacturing system

A Dynamic Programming Based Process Planning Selection Strategy Considering Utilisation of Machines

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