A Loading and Balancing Methodology for Job Shop Control

Irastorza, Joseph C.; Deane, Richard H.

doi:10.1080/05695557408974968

Cited by 100 publications

(23 citation statements)

References 22 publications

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“…The atemporal approach has been developed since the early 1970s Moodie 1972, Irastorza andDeane 1974) even though the majority of studies in this area have been carried out more recently (Onur and Fabrycky 1987, Glassey and Resende 1988, Philipoom et al 1993.…”

Section: Atemporal Approachmentioning

confidence: 99%

Comparison of Order Review and Release techniques in a dynamic and uncertain job shop environment

Cigolini¹,

Perona²,

Portioli³

1998

International Journal of Production Research

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This paper proposes a new methodological pattern to assess the e ectiveness of Order Review and Release (ORR) techniques in a job shop environment. The standpoint for this new method lies in the following remarks: (i) comparisons among ORR models should be performed in dynamic and uncertain environments; (ii) ORR techniques robustness toward the shop uncertainty and perturbations should be considered; and (iii) ORR models should be compared by changing their features one at a time, instead of comparing completely di erent ORR techniques.Consistently, we present a comparison among three ORR models, previously developed in literature, aimed at investigating: (i) the impact of a dynamic and uncertain environment on the performances achieved; (ii) the robustness of these ORR models when facing some environmental perturbations, like the system workload, the mix imbalance, the machine unavailability and the processing time variability, that usually take place in real life job shops; and (iii) the overall e ectiveness of the way workload is accounted for over time, since the models di erentiate only by this item, while any other feature of the release mechanism is the same.Simulation results highlight that the performances of the ORR techniques tested depend on how perturbed the environment where they are implemented is. Moreover, the ORR techniques tested greatly di er in their robustness against environment perturbations.

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Section: Atemporal Approachmentioning

confidence: 99%

Comparison of Order Review and Release techniques in a dynamic and uncertain job shop environment

Cigolini¹,

Perona²,

Portioli³

1998

International Journal of Production Research

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“…In order to guarantee high productivity, operations must be assigned with the goal of obtaining a good balance among machines. Irastorza and Deane [6] studied the loading problem for job shops with the objective of load balancing. They were only concerned with selecting new jobs to be released to the shop.…”

Section: Literature Reviewmentioning

confidence: 99%

Workflow balancing strategies in parallel machine scheduling

Rajakumar

Arunachalam²,

Selladurai³

2004

The International Journal of Advanced Manufacturing Technology

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Workflow balancing on a shop floor helps to remove bottlenecks present in the manufacturing system. Workflow refers to the total time during which the work centres are busy. Idle time is not taken into account when calculating workflow. Earlier researchers have not specified the method for jobs to be executed in parallel in order to balance the workflow to each machine. In many manufacturing environments, multiple processing stations are used in parallel to obtain adequate capacity. In parallel machine scheduling there are m machines to which n jobs are to be assigned based on different priority strategies. The procedure is based on the idea of workload balancing and on balancing the workload among machines. In this paper, workflow and workload are assumed to have the same meaning. A machine with the lowest workflow is selected for assignment of a new job from the list of unfinished jobs. Different priority strategies are followed for the selection of jobs. Three different strategies are considered, namely random (RANDOM), shortest processing time (SPT) and longest processing time (LPT) for the selection of jobs for workflow balancing. The relative percentage of imbalance (RPI) is adopted among the parallel machines to evaluate the performance of these strategies in a standard manufacturing environment. The LPT rule shows better performance for the combination of larger job sizes and higher number of work centres or machines. A computer program was coded for validation in a standard manufacturing environment on an IBM/PC compatible system in the C++ language.

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“…However, little direct work on the dynamic FFL part flow releasing and dispatching problem under uncertainty has been published. Research on inputting jobs and balancing the job shop (Irastorza and Deane, 1974) and the general FMS (Berrada and Stecke, 1986) are not directly applicable except for an understanding of general techniques.…”

Section: Part Flow Control Alternativesmentioning

confidence: 99%

Work flow control in the flexible flow line

Deane

Moon

1992

Int J Flex Manuf Syst

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Abstract. This research involves the development and evaluation of a part flow control model for a type of flexible manufacturing system (FMS) called a dedicated flexible flow line (FFL). In the FFL, all part types flow along the same path between successive machine groups. The specific objective of the part flow control model for the FFL is to minimize makespan for a given set of parts produced in a FFL near-term schedule, given fixed available buffer constraints. The control model developed in this research involved the repeated, real-time execution of a mathematical programming algorithm. The algorithm attempts to release the right mix of parts at the tight time to keep the FFL operating smoothly. The focus of the approach is directed toward managing WIP buffers for each machine group queue. The algorithm specifically incorporates stochastic disturbance factors such as machine Pailures. Through a limited number of simulation experiments, performance of the control model is shown to be superior to other parts releasing and control methods reported in the literature.

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A Loading and Balancing Methodology for Job Shop Control

Cited by 100 publications

References 22 publications

Comparison of Order Review and Release techniques in a dynamic and uncertain job shop environment

Comparison of Order Review and Release techniques in a dynamic and uncertain job shop environment

Workflow balancing strategies in parallel machine scheduling

Work flow control in the flexible flow line

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