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Scheduling
Published in Susmita Bandyopadhyay, Production and Operations Analysis, 2019
Flow shop scheduling problem involves a group shop. There can be multiple jobs as well as multiple machines. Each job has a sequence of operations to be performed. The due date and setup time are dependent on the sequence of jobs. The most kind of flow shop problem is permutation flow shop problem in which the capacity of the buffers between the machines is assumed to be unlimited. This means that blocking does not happen and any number of jobs can wait in the buffer for processing. The existing literature shows that the flow shop scheduling problems can be solved by various methods like Dynamic Programming, Branch and Bound method, heuristics algorithm, or meta-heuristics algorithms. However in this section, the Sequencing problems are explained in order to sequence the jobs for flow shop scheduling problem.
Understanding plan’s priorities: Short term scheduling optimization
Published in Christoph Mueller, Winfred Assibey-Bonsu, Ernest Baafi, Christoph Dauber, Chris Doran, Marek Jerzy Jaszczuk, Oleg Nagovitsyn, Mining Goes Digital, 2019
A flow shop scheduling problem is defined (Pinedo, 2016) by the scheduling of n tasks in m machines given that each task has to undergo each machine in the same order, i.e., all tasks has to follow the same process route. The following figure gives an example of a flow shop problem. Here, each task has to be processed by each machine in the same order (green → blue → pink → yellow → red). Each machine can process only one task at time.
Production Scheduling
Published in Katsundo Hitomi, Manufacturing Systems Engineering, 2017
(2) Flow-shop scheduling—scheduling for a flow shop, where the sequence of machines according to multiple-stage manufacturing is completely identical for all jobs to be produced. This type of flow pattern is typical for mass production.
A user-induced proactive-reactive scheduling tool for dynamic flow-shop environments
Published in International Journal of Systems Science: Operations & Logistics, 2023
Zied Bahroun, Abdulrahim Shamayleh, Rami As’ad, Rim Zakaria
Activities scheduling is an essential business process that plays a crucial role in manufacturing and service industries alike, and it is considered one of the most potent tools for proper planning. In most real-world situations, the flow-shop environment is ubiquitous in nature with a wide spectrum of applications spanning manufacturing systems, assembly lines, information service facilities and healthcare industry among others. In the manufacturing context, a typical flow-shop scheduling problem involves determining the order of processing jobs with different processing times on machines where all jobs follow the same routing through the machines. The prime objective is to determine the processing sequence that optimises different performance measures such as the completion time of the last job (makespan), number of tardy jobs, total tardiness, total flow time, etc. In essence, properly planned schedules greatly help manufacturers and service firms enhance their service level via meeting promised deadlines, decrease costs, ensure material availability as needed and improve resource utilisation.
Scheduling algorithms for multi-stage flow shops with reworks under overlapped queue time limits
Published in International Journal of Production Research, 2023
Flow shop scheduling is a well-known optimisation problem of determining the sequence or start times of the jobs to be processed on each serial stage. Due to theoretical challenges and practical importance, various types of the problem have been studied during the last decades. In the theoretical aspect, except for some special cases, it is an NP-hard problem that cannot be solved easily. Also, in the practical aspect, it has many industrial applications, especially high-volume and low-variety type manufacturing systems such as electronics assembly, semiconductor fabrication, steel-making, and so on.