A model-driven decision support system for reallocation of supply to orders under uncertainty in ceramic companies

In ceramic companies, uncertainty in the tone and gage obtained in first quality units of the same finished good (FG) entails frequent discrepancies between planned homogeneous quantities and real ones. This fact can lead to a shortage situation in which certain previously committed customer orders...

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Main Authors: M. M. E. Alemany, A. Ortiz, Andrés Boza, Vicente S. Fuertes-Miquel
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2015-07-01
Series:Technological and Economic Development of Economy
Subjects:
Online Access:https://journals.vgtu.lt/index.php/TEDE/article/view/1120
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author M. M. E. Alemany
A. Ortiz
Andrés Boza
Vicente S. Fuertes-Miquel
author_facet M. M. E. Alemany
A. Ortiz
Andrés Boza
Vicente S. Fuertes-Miquel
author_sort M. M. E. Alemany
collection DOAJ
description In ceramic companies, uncertainty in the tone and gage obtained in first quality units of the same finished good (FG) entails frequent discrepancies between planned homogeneous quantities and real ones. This fact can lead to a shortage situation in which certain previously committed customer orders cannot be served because there are not enough homogeneous units of a specific FG (i.e., with the same tone and gage). In this paper, a Model-Driven Decision Support System (DSS) is proposed to reassign the actual homogeneous stock and the planned homogeneous sublots to already committed orders under uncertainty by means of a mathematical programming model (SP-Model). The DSS functionalities enable ceramic decision makers to generate different solutions by changing model options. Uncertainty in the planned homogeneous quantities, and any other type of uncertainty, is managed via scenarios. The robustness of each solution is tested in planned and real situations with another DSS functionality based on another mathematical programming model (ASP-Model). With these DSS features, the ceramic decision maker can choose in a friendly fashion the orders to be served with the current homogeneous stock and the future uncertainty homogeneous supply to better achieve a balance between the maximisation of multiple objectives and robustness.
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spelling doaj.art-d46299adca7646a382f6da251e8a37292022-12-21T20:19:45ZengVilnius Gediminas Technical UniversityTechnological and Economic Development of Economy2029-49132029-49212015-07-0121410.3846/20294913.2015.1055613A model-driven decision support system for reallocation of supply to orders under uncertainty in ceramic companiesM. M. E. Alemany0A. Ortiz1Andrés Boza2Vicente S. Fuertes-Miquel3Research Centre on Production Management and Engineering (CIGIP), Polytechnic University of Valencia, Camino de Vera S/N, 46023 Valencia, SpainResearch Centre on Production Management and Engineering (CIGIP), Polytechnic University of Valencia, Camino de Vera S/N, 46023 Valencia, SpainResearch Centre on Production Management and Engineering (CIGIP), Polytechnic University of Valencia, Camino de Vera S/N, 46023 Valencia, SpainDepartamento de Ingeniería Hidráulica y Medio Ambiente, Polytechnic University of Valencia, Camino de Vera S/N, 46023 Valencia, SpainIn ceramic companies, uncertainty in the tone and gage obtained in first quality units of the same finished good (FG) entails frequent discrepancies between planned homogeneous quantities and real ones. This fact can lead to a shortage situation in which certain previously committed customer orders cannot be served because there are not enough homogeneous units of a specific FG (i.e., with the same tone and gage). In this paper, a Model-Driven Decision Support System (DSS) is proposed to reassign the actual homogeneous stock and the planned homogeneous sublots to already committed orders under uncertainty by means of a mathematical programming model (SP-Model). The DSS functionalities enable ceramic decision makers to generate different solutions by changing model options. Uncertainty in the planned homogeneous quantities, and any other type of uncertainty, is managed via scenarios. The robustness of each solution is tested in planned and real situations with another DSS functionality based on another mathematical programming model (ASP-Model). With these DSS features, the ceramic decision maker can choose in a friendly fashion the orders to be served with the current homogeneous stock and the future uncertainty homogeneous supply to better achieve a balance between the maximisation of multiple objectives and robustness.https://journals.vgtu.lt/index.php/TEDE/article/view/1120decision support systemmathematical programming modelslack of homogeneity in the productshortage planninguncertaintyceramic companies
spellingShingle M. M. E. Alemany
A. Ortiz
Andrés Boza
Vicente S. Fuertes-Miquel
A model-driven decision support system for reallocation of supply to orders under uncertainty in ceramic companies
Technological and Economic Development of Economy
decision support system
mathematical programming models
lack of homogeneity in the product
shortage planning
uncertainty
ceramic companies
title A model-driven decision support system for reallocation of supply to orders under uncertainty in ceramic companies
title_full A model-driven decision support system for reallocation of supply to orders under uncertainty in ceramic companies
title_fullStr A model-driven decision support system for reallocation of supply to orders under uncertainty in ceramic companies
title_full_unstemmed A model-driven decision support system for reallocation of supply to orders under uncertainty in ceramic companies
title_short A model-driven decision support system for reallocation of supply to orders under uncertainty in ceramic companies
title_sort model driven decision support system for reallocation of supply to orders under uncertainty in ceramic companies
topic decision support system
mathematical programming models
lack of homogeneity in the product
shortage planning
uncertainty
ceramic companies
url https://journals.vgtu.lt/index.php/TEDE/article/view/1120
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