Minimizing Makespan Using Node Based Coincidence Algorithm in the Permutation Flowshop Scheduling Problem

Srimongkolkul, Ornrumpha; Chongstitvatana, Prabhas

doi:10.1007/978-3-662-47200-2_33

Cited by 1 publication

(1 citation statement)

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“…Another approach to optimize CM design is based on using appropriate scheduling techniques that aim to determine the actual assignment of products or jobs to available operations in order to complete manufacturing orders on time [8]. These techniques are mostly developed using the minimum makespan criterion for CM design optimization [9]. Moreover, makespan minimization positively influences work-in-process inventories [10,11].…”

Section: Introduction and Problem Descriptionmentioning

confidence: 99%

A Multi-Criteria Assessment of Manufacturing Cell Performance Using the AHP Method

Šoltysová¹,

Modrák²,

Nazarejova³

2022

Applied Sciences

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Research of manufacturing cell design problems is still pertinent today, because new manufacturing strategies, such as mass customization, call for further improvement of the fundamental performance of cellular manufacturing systems. The main scope of this article is to find the optimal cell design(s) from alternative design(s) by multi-criteria evaluation. For this purpose, alternative design solutions are mutually compared by using the selected performance criteria, namely operational complexity, production line balancing rate, and makespan. Then, multi-criteria decision analysis based on the analytic hierarchy process method is used to show that two more-cell solutions better satisfy the determined criteria of manufacturing cell design performance than three less-cell solutions. The novelty of this research approach refers to the use of the modification of Saaty’s scale for the comparison of alternatives in pairs based on the objective assessment of the designs. Its benefit lies in the exactly enumerated values of the selected criteria, according to which the points from the mentioned scale are assigned to the alternatives.

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Section: Introduction and Problem Descriptionmentioning

confidence: 99%