Introducing the EPP house (topological space) method to solve MRP problems.

The problem of product and process planning analysed so far is how we can take advantage of our strategy in planning. Among the principles of manufacturing and service management concepts is that after planning demand, planning transformation is one of the key steps of integrated efficiency; it make...

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Autores principales:	Balázs Gyenge, László Kasza, László Vasa
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e40ac232dfa84c6ca7606f2a5ad75389
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spelling	oai:doaj.org-article:e40ac232dfa84c6ca7606f2a5ad753892021-12-02T20:10:16ZIntroducing the EPP house (topological space) method to solve MRP problems.1932-620310.1371/journal.pone.0253330https://doaj.org/article/e40ac232dfa84c6ca7606f2a5ad753892021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253330https://doaj.org/toc/1932-6203The problem of product and process planning analysed so far is how we can take advantage of our strategy in planning. Among the principles of manufacturing and service management concepts is that after planning demand, planning transformation is one of the key steps of integrated efficiency; it makes it possible to save costs that are not value adding and are not necessary from the customer's point of view. Currently, the methods of material requirements and capacity planning can be seen as classic solutions that are based on dependency relations between different resources, which can be dynamic in space and time. Measuring and recording capacities raise several problems in addition to the fact that our planning methods are not always satisfying. In the literature, the methods of material requirements planning or manufacturing resource planning (MRP) are not typically optimization methods, so they do not guarantee the best solution, and even if our planning methods were satisfying, several manufacturing restrictions (the time allowed, the complexity of the planning process, the lack of testing opportunities, etc.) could prevent us from reaching satisfying application. It is necessary to create a simple planning algorithm that can give the planner a greater degree of freedom and that would be simple and algorithmic in order to maintain continuous conscious control, putting an end to planning uncertainty and leading us to the best solution under the given conditions. The aim of our research is to introduce a novel, simple planning algorithm, similar to heuristic methods that eliminates the problem of defining the order quantity when applying traditional methods, which prevents us from determining in advance which method is desirable (causing unnecessary planning steps); computer-based solutions hide the causal relations of the methodology from the planner (causing unreliability uncertainty).Balázs GyengeLászló KaszaLászló VasaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0253330 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Balázs Gyenge László Kasza László Vasa Introducing the EPP house (topological space) method to solve MRP problems.
description	The problem of product and process planning analysed so far is how we can take advantage of our strategy in planning. Among the principles of manufacturing and service management concepts is that after planning demand, planning transformation is one of the key steps of integrated efficiency; it makes it possible to save costs that are not value adding and are not necessary from the customer's point of view. Currently, the methods of material requirements and capacity planning can be seen as classic solutions that are based on dependency relations between different resources, which can be dynamic in space and time. Measuring and recording capacities raise several problems in addition to the fact that our planning methods are not always satisfying. In the literature, the methods of material requirements planning or manufacturing resource planning (MRP) are not typically optimization methods, so they do not guarantee the best solution, and even if our planning methods were satisfying, several manufacturing restrictions (the time allowed, the complexity of the planning process, the lack of testing opportunities, etc.) could prevent us from reaching satisfying application. It is necessary to create a simple planning algorithm that can give the planner a greater degree of freedom and that would be simple and algorithmic in order to maintain continuous conscious control, putting an end to planning uncertainty and leading us to the best solution under the given conditions. The aim of our research is to introduce a novel, simple planning algorithm, similar to heuristic methods that eliminates the problem of defining the order quantity when applying traditional methods, which prevents us from determining in advance which method is desirable (causing unnecessary planning steps); computer-based solutions hide the causal relations of the methodology from the planner (causing unreliability uncertainty).
format	article
author	Balázs Gyenge László Kasza László Vasa
author_facet	Balázs Gyenge László Kasza László Vasa
author_sort	Balázs Gyenge
title	Introducing the EPP house (topological space) method to solve MRP problems.
title_short	Introducing the EPP house (topological space) method to solve MRP problems.
title_full	Introducing the EPP house (topological space) method to solve MRP problems.
title_fullStr	Introducing the EPP house (topological space) method to solve MRP problems.
title_full_unstemmed	Introducing the EPP house (topological space) method to solve MRP problems.
title_sort	introducing the epp house (topological space) method to solve mrp problems.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/e40ac232dfa84c6ca7606f2a5ad75389
work_keys_str_mv	AT balazsgyenge introducingtheepphousetopologicalspacemethodtosolvemrpproblems AT laszlokasza introducingtheepphousetopologicalspacemethodtosolvemrpproblems AT laszlovasa introducingtheepphousetopologicalspacemethodtosolvemrpproblems
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Introducing the EPP house (topological space) method to solve MRP problems.

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