Dynamic dispatching priority setting in customer-oriented manufacturing environments

Güçdemir, Hülya; Selim, Hasan

doi:10.1007/s00170-017-0258-5

Cited by 5 publications

(1 citation statement)

References 39 publications

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“…The priorities denote the comparative importance of jobs, set by decision-makers depending on the types of customers. Certain customers would be considered e-ISSN: 2682-8383 58 more valuable than others; the significance of customers to the company would be subject to several aspects, for instance, the duration of business relationships, the frequency of their orders, the size of their orders with respect to the company's capacity and the potential for future sales [12]. The importance levels differ significantly between every customer and their orders, and the job priorities are manifested in the weights.…”

Section: Objective Functionsmentioning

confidence: 99%

Investigation of Flexible Job Shop with Machine Availability Constraints

Anuar,

Md Fauadi,

Saptari

2024

JETAP

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In real-world scheduling applications, machines may be unavailable during certain time periods for deterministic and stochastic reasons. This situation does not pose any problems if the jobs always have more than one machine available for processing. However, it becomes an issue if the only available machine is the one which more than one job needs for processing. Thus, the investigation of limited machine availability, along with the practical requirement to handle this feature of scheduling problems, are of huge significance. This paper examined a flexible job shop environment of a manufacturing firm to optimize different performance criteria related to makespan, due dates, priorities and penalties by using a metaheuristic approach, taking into account the precedence constraints. The work investigated the case in which all machines are available for processing and another case in which some of the machines are known in advance to be unavailable. From the results, the best schedules are analysed and the perspectives of the findings to decision-makers are discussed with the purpose of achieving high machine utilization, cost reduction and customer satisfaction.

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Section: Objective Functionsmentioning

confidence: 99%