Simulated Annealing Based on Linguistic Patterns: Experimental Examination of Properties for Various Types of Logistic Problems

Grobelny, Jerzy; Michalski, Rafał

doi:10.1007/978-3-319-67223-6_32

Cited by 2 publications

(1 citation statement)

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“…The generation and selection of the most convenient layout for an organisation is a complex iterative process that depends on the relations between the elements making up its production system. According to the theory of computational complexity, most FLP formulations are considered non-polynomial hard problems (NPhard) as no solution algorithms provide an optimal solution in a reasonable polynomial time (Grobelny and Michalski, 2018). However, this high degree of difficulty has not stopped different authors from tackling these problems by providing acceptable solutions in realistic computational times.…”

Section: Literature Reviewmentioning

confidence: 99%

A conceptual framework for multi-objective facility layout planning by a bottom-up approach

Pérez-Gosende

Díaz-Madroñero

2023

Int. J. Prod. Manag. Eng.

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The purpose of this paper is to present a conceptual framework to facilitate academics and practitioners’ decision making related to multi-objective facility layout planning (mFLP) by employing a bottom-up approach. Based on a literature survey framed in the mFLP context, this work identified and discussed a set of criteria that have become limitations of the traditional top-down approach. These criteria served as the basis to conceive the proposed conceptual framework. Our conceptual framework formalises FLP as a multi-objective problem by following the two traditional planning phases (block- and detailed phase) in reverse by a bottom-up approach, and by also integrating a third phase, called the refined phase, which has not previously been contemplated in the literature. Apart from identifying the inputs and outputs of each phase, the conceptual framework groups together several objectives related to mFLP that have been recently considered in the literature and formalises and contextualises them according to the planning phase in which they are involved. This is the first time that mFLP is addressed with a bottom-up approach.

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Section: Literature Reviewmentioning

confidence: 99%