Multi-agent-based workload control for make-to-order manufacturing

Weng, Meng-Hsiung; Wu, Zhiqiang; Guo, Qi; Zheng, Li

doi:10.1080/00207540600969758

Cited by 34 publications

(23 citation statements)

References 37 publications

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“…Early releases may incur earliness costs, shop congestions, higher work-in process (WIP), and possible interference with urgent jobs. On the contrary, late releases may incur tardiness costs due to missed due dates and greater lead times [40,41]. In addition, using job release times as variables seem to offer other benefits mainly because other variables depend on those times [41,42].…”

Section: Relevant Literaturementioning

confidence: 99%

Solving the flexible job-shop just-in-time scheduling problem with quadratic earliness and tardiness costs

Rey

Bekrar

Trentesaux

et al. 2015

Int J Adv Manuf Technol

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The flexible job-shop scheduling problem is known to be an (Non-deterministic Polynomial-time hard) combinatorial problem and has become a challenge in optimization and manufacturing control. Although flexibility is important in order to respond effectively to higher product variety, shorter lead times, and smaller batch sizes, industrialists also require just-in-time scheduling strategies to increase customer satisfaction. The aim of this paper is to find adequate job release times to meet production demands in relation to specific due dates. Since large deviations in job completion times are undesirable, the scheduling objective for just-in-time production is translated into the minimization of the mean-square due date deviation (MSD), quadratically penalizing inventory (earliness) costs and backlogging (tardiness) costs. Given the computational complexity of the problem, two meta-heuristics are proposed: a genetic algorithm (GA) and particle swarm optimization (PSO), as well as two different approaches to handle job release times. In the GA, job release times are treated as dependent variables, whereas the PSO enables the integration of job release times as independent variables within the particle encoding. These meta-heuristic approaches were compared using three benchmarks, two adapted from the literature and one inspired from a real manufacturing cell. The simulation results show that the GA and PSO attained similar performances, each one with advantages and disadvantages for constrained and unconstrained MSD problems.

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Section: Relevant Literaturementioning

confidence: 99%

Solving the flexible job-shop just-in-time scheduling problem with quadratic earliness and tardiness costs

Rey

Bekrar

Trentesaux

et al. 2015

Int J Adv Manuf Technol

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show abstract

“…We believe that ORR systems developed for job shops are not those best suited for use in these new systems. In fact, as also noted by Weng et al (2008), we believe that the applicability and the effectiveness of production planning and control approaches depend on shop floor configuration. The aim of this paper is therefore to present an ORR system specifically designed for MTO and ETO companies (i.e.…”

Section: Introductionmentioning

confidence: 99%

A lean-based ORR system for non-repetitive manufacturing

Staudacher

Tantardini

2011

International Journal of Production Research

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“…Job-or product-related performance measures observed in the literature to assess the effectiveness of WLC include delivery, proportion of successful quotations, quality, and cost (see, for example, Cigolini and Portioli-Staudacher 2002;Kingsman and Hendry 2002;Weng 2008;and Hendry, Huang, and Stevenson 2013). Quality and cost improvements have been indirectly attributed to the impact of WLC associated with the reduction of work-in-progress and overwork (Hendry, Huang, and Stevenson 2013); their specific measures are not detailed as a direct performance of WLC.…”

Section: Job/product Relatedmentioning

confidence: 99%

Information architecture for effective Workload Control: an insight from a successful implementation

Huang

2017

Production Planning & Control

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The implementation of Workload Control (WLC), a Production Planning and Control concept uniquely designed for Make-To-Order companies, has been a constant challenge. Scholars argued that WLC is largely developed through simulations of well-defined environments while much more complex circumstances (e.g., information availability) have emerged in field research. A recent trend of WLC research is to improve the practical applicability of the concept, where empirical evidence is essential. However, success in WLC implementation remains impeded. The availability of data has been a significant area that frustrates the implementation process. While there is a tendency to simplify data requirements in recent WLC theory development, it is important to understand and maintain the information that is essential for the concept to be effective. For the first time in the field, this paper details the information architecture for WLC. Key informational entities of relevance to the input/output control functions in WLC as well as performance measurement are discussed based on evidence from a successful implementation. The paper not only sheds light for practitioners on how to construct an information system that facilitates successful WLC implementation but also has implications for future development of WLC mechanisms coping with information uncertainties in practice.

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Multi-agent-based workload control for make-to-order manufacturing

Cited by 34 publications

References 37 publications

Solving the flexible job-shop just-in-time scheduling problem with quadratic earliness and tardiness costs

Solving the flexible job-shop just-in-time scheduling problem with quadratic earliness and tardiness costs

A lean-based ORR system for non-repetitive manufacturing

Information architecture for effective Workload Control: an insight from a successful implementation

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