Production Planning for Agroalimentary Laboratories Using Customer Satisfaction Criteria

Agroalimentary laboratories typically process samples that require different types of analysis depending on the substance being analyzed and the requirements of the clients. A key parameter for client satisfaction is the time that it takes since the samples arrive at the laboratory facilities and th...

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Autores principales:	Alvaro Garzon Casado, Pablo Cano Marchal, Juan Gomez Ortega, Javier Gamez Garcia
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Production planning optimization agroalimentary laboratory Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/1825a73632784bbdabb8e07492960bfa
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id	oai:doaj.org-article:1825a73632784bbdabb8e07492960bfa
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spelling	oai:doaj.org-article:1825a73632784bbdabb8e07492960bfa2021-11-25T00:01:01ZProduction Planning for Agroalimentary Laboratories Using Customer Satisfaction Criteria2169-353610.1109/ACCESS.2021.3125857https://doaj.org/article/1825a73632784bbdabb8e07492960bfa2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9605252/https://doaj.org/toc/2169-3536Agroalimentary laboratories typically process samples that require different types of analysis depending on the substance being analyzed and the requirements of the clients. A key parameter for client satisfaction is the time that it takes since the samples arrive at the laboratory facilities and the results are provided to the client. Thus, the order in which the different samples are processed and the analysis are performed can have a significant impact in the overall customer satisfaction. This paper proposes a novel approach for planning the production of agroalimentary laboratories based on maximizing a measure of customer satisfaction derived from this lag between sample reception and analysis finalization. This way, a planning model is defined which, based on the basic version of the Resource-Constrained Project Scheduling Problem, can be used to optimize an objective function that focuses on the client satisfaction, considering the relative relevance of clients and samples. The paper includes a detailed presentation of the parameters, variables and constraints required to define the problem, along with the corresponding modeling assumptions. The applicability of the approach is presented with a discussion of the solutions provided by the optimization problem for a set of scenarios of interest, which show the suitability of the method as a systematic tool for planning the operations of agroalimentary laboratories.Alvaro Garzon CasadoPablo Cano MarchalJuan Gomez OrtegaJavier Gamez GarciaIEEEarticleProduction planningoptimizationagroalimentary laboratoryElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 154845-154856 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Production planning optimization agroalimentary laboratory Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Production planning optimization agroalimentary laboratory Electrical engineering. Electronics. Nuclear engineering TK1-9971 Alvaro Garzon Casado Pablo Cano Marchal Juan Gomez Ortega Javier Gamez Garcia Production Planning for Agroalimentary Laboratories Using Customer Satisfaction Criteria
description	Agroalimentary laboratories typically process samples that require different types of analysis depending on the substance being analyzed and the requirements of the clients. A key parameter for client satisfaction is the time that it takes since the samples arrive at the laboratory facilities and the results are provided to the client. Thus, the order in which the different samples are processed and the analysis are performed can have a significant impact in the overall customer satisfaction. This paper proposes a novel approach for planning the production of agroalimentary laboratories based on maximizing a measure of customer satisfaction derived from this lag between sample reception and analysis finalization. This way, a planning model is defined which, based on the basic version of the Resource-Constrained Project Scheduling Problem, can be used to optimize an objective function that focuses on the client satisfaction, considering the relative relevance of clients and samples. The paper includes a detailed presentation of the parameters, variables and constraints required to define the problem, along with the corresponding modeling assumptions. The applicability of the approach is presented with a discussion of the solutions provided by the optimization problem for a set of scenarios of interest, which show the suitability of the method as a systematic tool for planning the operations of agroalimentary laboratories.
format	article
author	Alvaro Garzon Casado Pablo Cano Marchal Juan Gomez Ortega Javier Gamez Garcia
author_facet	Alvaro Garzon Casado Pablo Cano Marchal Juan Gomez Ortega Javier Gamez Garcia
author_sort	Alvaro Garzon Casado
title	Production Planning for Agroalimentary Laboratories Using Customer Satisfaction Criteria
title_short	Production Planning for Agroalimentary Laboratories Using Customer Satisfaction Criteria
title_full	Production Planning for Agroalimentary Laboratories Using Customer Satisfaction Criteria
title_fullStr	Production Planning for Agroalimentary Laboratories Using Customer Satisfaction Criteria
title_full_unstemmed	Production Planning for Agroalimentary Laboratories Using Customer Satisfaction Criteria
title_sort	production planning for agroalimentary laboratories using customer satisfaction criteria
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/1825a73632784bbdabb8e07492960bfa
work_keys_str_mv	AT alvarogarzoncasado productionplanningforagroalimentarylaboratoriesusingcustomersatisfactioncriteria AT pablocanomarchal productionplanningforagroalimentarylaboratoriesusingcustomersatisfactioncriteria AT juangomezortega productionplanningforagroalimentarylaboratoriesusingcustomersatisfactioncriteria AT javiergamezgarcia productionplanningforagroalimentarylaboratoriesusingcustomersatisfactioncriteria
_version_	1718414681221103616

Production Planning for Agroalimentary Laboratories Using Customer Satisfaction Criteria

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