Multicriteria dynamic scheduling methodology for controlling a flexible manufacturing system

Shnits, Boris; Rubinovitz, Jacob; Sinreich, David

doi:10.1080/00207540410001699444

Cited by 52 publications

(18 citation statements)

References 33 publications

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“…Research on the performance of FMSs with delays has been rather scant (Caprihan, 1995;Wadhwa and Bhagwat, 1999;Wadhwa and Rao (2004); Caprihan, Kumar, and Stecke, 1999;2005a,b). While Hutchison (1991) has asserted that knowledge regarding the effects of delays on real-time and off-line scheduling schemes is lacking, Shnits, Rubinovitz, and Sinreich (2004) recently observed that delays on the shop floor affect part routing and other control decisions and therefore need to be appropriately accounted for while devising dispatching rules. This paper focuses on one such system operating under information delays.…”

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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“…An example of a bar chart is shown in Figure 4, for the CR (Critical Ratio) rule. (The CR is the ratio of the remaining process time and the time to the due date; see Schnits et al [1]. )…”

Section: Table 1: Structure Of Recorded Operation Informationmentioning

confidence: 99%

“…Several classic scheduling dispatching rules and performance measures were incorporated into the scheduler. Dispatching rules include First-in-First-out (FIFO), Earliest Due Date (EDD), Longest Processing Time (LPT), Shortest Processing Time (SPT), Smallest Slack (SS), and Critical Ratio (CR) (also see Shnits et al [1] and Montazeri & Van Wassenhove [2]). Performance measures included are Makespan, Total Completion Time, Earliness, Lateness, Average Flow Time, and Machine Usage (Shnits et al [1], Leung [3]).…”

Section: Introductionmentioning

confidence: 99%

Simulation-Based Online Scheduling in a Make-to-Order Job Shop

Krige

Bekker

Schutte

2009

The South African Journal of Industrial Engineering

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Scheduling is a core activity in the manufacturing business. It assists with the efficient and effective utilisation of capital-intensive resources and increased throughput, thus increasing profitability. Simulation is appealing in manufacturing, as it can realistically imitate dynamic, stochastic processes while being descriptive in predicting the future process. We combined simulation and scheduling and developed an online simulation-based scheduler for manufacturing orders in a South African make-to-order job shop enterprise. There are frequent changes in this type of environment, including random arrivals of orders with stochastic processing times. A simulation-based scheduler is applicable in this myopic, stochastic environment, and we demonstrate its use under these conditions. OPSOMMINGSkedulering is 'n kern-aktiwiteit in 'n vervaardigingsonderneming. Dit ondersteun doeltreffende en effektiewe benutting van kapitaal-intensiewe hulpbronne asook verhoogde produksiedeurset, wat weer wins verhoog. Simulasie is van nut in vervaardiging omdat dit dinamiese, stogastiese prosesse realisties kan naboots terwyl dit die prosestoekoms op beskrywende wyse toon. Simulasie en skedulering is gekombineer in hierdie projek om 'n simulasiegebaseerde skeduleerder te ontwikkel vir bestellings in 'n maak-op-aanvraag werkwinkel. Veranderings vind gereeld in hierdie tipe omgewing plaas, en sluit toevallige aankomste van bestellings met stogastiese prosestye in. 'n Simulasiegebaseerde skeduleerder is toepaslik in hierdie stogastiese, korttermyn-omgewing, en die werking van die skeduleerder word in hierdie omstandighede gedemonstreer.

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“…The consideration of a particular type of flexibility to be considered in the design of an FMS depends upon the system objectives. The increase in flexibility provides the alternative resources/machines to do the same processing (Shnits et al, 2004). However, the flexibility and effectiveness of an FMS is restricted by the availability of equipment.…”

Section: Introductionmentioning

confidence: 99%

Towards improving the performance of flexible manufacturing system: a case study

2016

IJLTET

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Increasing global competition has evolved a manufacturing environment which gleans vast product variety, reduced manufacturing lead times, increased quality standards and competitive costs. Simultaneously, with a rising trend toward globalization, these manufacturing environments must be designed to cater new challenges to survive and grow in the marketplace. To deal with such multifaceted problems, new technologies support increased flexibility and automation. These objectives intended for the improvement of the manufacturing environment have been the key rationales for the introduction of flexible manufacturing systems (FMSs). In this paper a case study of a firm is presented with a contribution to suggest some methods of performance improvement for a flexible system of manufacturing. The study is based on the mathematical models illustrated in literature to estimate possible performance parameters like maximum production rate, make span time and overall utilization. Through this study, an effort is also made to present the improved design for existing flexible manufacturing system employed in the company. Various design and performance parameters are then evaluated and compared for the existing and improved FMS.

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Multicriteria dynamic scheduling methodology for controlling a flexible manufacturing system

Cited by 52 publications

References 33 publications

Scheduling of FMSs with information delays: A simulation study

Scheduling of FMSs with information delays: A simulation study

Simulation-Based Online Scheduling in a Make-to-Order Job Shop

Towards improving the performance of flexible manufacturing system: a case study

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