A methodical approach to the flexible-manufacturing-system batching, loading and tool configuration problems

Co, Henry C.; Biermann, Jeanette S.; Chen, S. K.

doi:10.1080/00207549008942860

Cited by 60 publications

(55 citation statements)

References 6 publications

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“…Various optimization models, which take into account the tool allocation problem and other tool specific constraints, can be found in the literature (Stecke 1983(Stecke , 1986Berrada and Stecke 1986;Stecke and Talbot 1985;Kim 1988 andSarin and Chen 1987;Carrie and Perera 1986;Chakravarty and Shtub 1984;Chung and Doong 1989;Moreno and Ding 1989;Shanker and Rajamarthandan 1989;Chung and Lee 1989;Na, Han, and Hogg 1987;Rajagopalan 1986;Ventura, Chen, and Leonard 1988;Ventura 1990;Denardo 1988a andRam, Sarin, and Chen 1990;Co, Biermann, and Chen 1990;Han, Na, and Hogg 1989;Shanker and Srinivasulu 1989;Bard 1988;Lashkari, Dutta, and Padhye 1987). Tool allocation is an inherent and critical element of the dynamic production planning problem and has a significant impact on the performance of the manufacturing system.…”

Section: Tool Location and Allocationmentioning

confidence: 99%

Cutting-tool management in computer-integrated manufacturing

Veeramani

Upton

Barash

1992

Int J Flex Manuf Syst

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Abstract. The problem of cutting tool management has been brought to the forefront with the emergence of computerintegrated manufacturing (CIM) and, in particular, flexible manufacturing systems (FMSs). The financial and operational ramifications of effective tool management has spurred considerable research in this area during the past decade and many researchers are proposing sound solutions to various facets of this broad-ranging and difficult problem. This paper identifies critical areas of research for the development of tool management systems in CIM. To develop a framework for this, the paper examines and categorizes work in academia and in industry on the management of cutting-tools in CIM and describes some key implementations, particularly in the metalcutting industry. The solution of manufacturing problems generally demands an eclectic approach, and for this reason, we have tried to taxonomize, describe, and critique the various research thrusts in an attempt to provide a synthesis of use in more unified approaches.

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Section: Tool Location and Allocationmentioning

confidence: 99%

Cutting-tool management in computer-integrated manufacturing

Veeramani

Upton

Barash

1992

Int J Flex Manuf Syst

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“…Stecke (1983Stecke ( , 1985 identified five major planning issues for FMSs: 1) Part type selection, addressing the particular product mix that will be produced; 2) machine grouping, which concerns the partitioning of machines into effective machine groups; 3) production ratios, which addresses the relative ratios in which selected part types will be produced; 4) resource allocation, which addresses the allocation of fixtures to parts; and 5) loading, which concerns the allocation of operations and tools of the selected part types among the machine groups. These issues have received attention by several authors, such as Stecke and Morin (1985), Stecke (1986), Solot (1990), Sawik (1988 and, Co et al (1990), Bastos (1988), and several others (Buzacott and Yao 1986).…”

Section: Introductionmentioning

confidence: 99%

Batch sizes and lead-time performance in flexible manufacturing systems

Millar

Yang

1996

Int J Flex Manuf Syst

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Production lead-time performance in flerd'ble manufacturing systems is influenced by several factors which include: machine groupings, demand rates, machine processing rates, product batching, material handling system capacity, and so on. Hence, control of lead-time performance can be affected through the manipulation of one or more of these variables. In this article, we investigate the potential of batch sizing as a control variable for lead-time performance through the use of a queueing network model. We establish a functional relationship between the two variables, and incorporate the relationship in an optimization model to determine the optimal batch size(s) which minimizes the sum of annual work-in-process inventory and final inventory costs. The nonlinear batch sizing problem which results is solved by discrete optimization via marginal analysis. Results show that batch sizing can be a cheap and effective variable for controlling flexible manufacturing system throughput.

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“…In other words, they signi cantly shape the system capacity. 9 As it is observed in 23 , de ning, measuring and respecting capacity are important at all levels of the system hierarchy. No system can produce outside its capacity, and it is futile at best, and damaging, at worst, to try .…”

Section: Additional Issues and Future Directions In Fms Structural Comentioning

confidence: 99%

Structural Control of Large-Scale Flexibly Automated Manufacturing Systems

Reveliotis¹,

Lawley²,

Ferreira³

2000

Computer-Aided Design, Engineering, and Manufacturing

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Current strategic and technological trends in discrete-part manufacturing require extensive and exible automation of the underlying production systems. However, even though a great deal of work has been done to facilitate manufacturing automation at the hardware component level, currently there is no adequately developed control methodology for these environments. In particular, it has recently been realized by the manufacturing community that any successful attempt towards the extensive automation of these environments requires the establishment o f logically correct and robust behavior from the underlying system. The resulting line of research is complementary to the most traditional performance-oriented control, and it has come to be known as the structural control of the contemporary exibly automated production environment. In this chapter, we initially discuss the role of structural control in the broader context of realtime control of exible manufacturing systems FMS, and in continuation, we present the major results of our research program on manufacturing system deadlock, currently the predominant structural control problem in the manufacturing research literature. In the concluding section, we also indicate how these results should be integrated in contemporary FMS controllers, and highlight directions for future research in the FMS structural control area.

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A methodical approach to the flexible-manufacturing-system batching, loading and tool configuration problems

Cited by 60 publications

References 6 publications

Cutting-tool management in computer-integrated manufacturing

Cutting-tool management in computer-integrated manufacturing

Batch sizes and lead-time performance in flexible manufacturing systems

Structural Control of Large-Scale Flexibly Automated Manufacturing Systems

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