An inventory model for deteriorating items with partial backlogging using linear demand in fuzzy environment

This model presents the invention scheduling difficulty in industry with different operational constraints, as well as strategic plan of the business, revenue purpose, and limit on finishing. In this article, we have studied an inventory model for deteriorating items with shortages under partially b...

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Autores principales:	Neeraj Kumar, Sanjey Kumar
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2017
Materias:	inventory linear demand rate partial backlogging triangular fuzzy number graded mean representation method signed distance method centroid method Business HF5001-6182 Management. Industrial management HD28-70
Acceso en línea:	https://doaj.org/article/2c4ccc540f3245b0bc01db8d65e106cf
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spelling	oai:doaj.org-article:2c4ccc540f3245b0bc01db8d65e106cf2021-12-02T10:44:30ZAn inventory model for deteriorating items with partial backlogging using linear demand in fuzzy environment2331-197510.1080/23311975.2017.1307687https://doaj.org/article/2c4ccc540f3245b0bc01db8d65e106cf2017-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2017.1307687https://doaj.org/toc/2331-1975This model presents the invention scheduling difficulty in industry with different operational constraints, as well as strategic plan of the business, revenue purpose, and limit on finishing. In this article, we have studied an inventory model for deteriorating items with shortages under partially backlogging. The aim of present study is to minimize the total cost function in fuzzy environment. Graded mean representation, signed distance, and centroid methods are used to defuzzify the total cost function over the planning horizon. Further, all costs are defuzzified with the help of triangular fuzzy numbers. Finally, sensitivity analysis is also given to show the effect of the costs.Neeraj KumarSanjey KumarTaylor & Francis Grouparticleinventorylinear demand ratepartial backloggingtriangular fuzzy numbergraded mean representation methodsigned distance methodcentroid methodBusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 4, Iss 1 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	inventory linear demand rate partial backlogging triangular fuzzy number graded mean representation method signed distance method centroid method Business HF5001-6182 Management. Industrial management HD28-70
spellingShingle	inventory linear demand rate partial backlogging triangular fuzzy number graded mean representation method signed distance method centroid method Business HF5001-6182 Management. Industrial management HD28-70 Neeraj Kumar Sanjey Kumar An inventory model for deteriorating items with partial backlogging using linear demand in fuzzy environment
description	This model presents the invention scheduling difficulty in industry with different operational constraints, as well as strategic plan of the business, revenue purpose, and limit on finishing. In this article, we have studied an inventory model for deteriorating items with shortages under partially backlogging. The aim of present study is to minimize the total cost function in fuzzy environment. Graded mean representation, signed distance, and centroid methods are used to defuzzify the total cost function over the planning horizon. Further, all costs are defuzzified with the help of triangular fuzzy numbers. Finally, sensitivity analysis is also given to show the effect of the costs.
format	article
author	Neeraj Kumar Sanjey Kumar
author_facet	Neeraj Kumar Sanjey Kumar
author_sort	Neeraj Kumar
title	An inventory model for deteriorating items with partial backlogging using linear demand in fuzzy environment
title_short	An inventory model for deteriorating items with partial backlogging using linear demand in fuzzy environment
title_full	An inventory model for deteriorating items with partial backlogging using linear demand in fuzzy environment
title_fullStr	An inventory model for deteriorating items with partial backlogging using linear demand in fuzzy environment
title_full_unstemmed	An inventory model for deteriorating items with partial backlogging using linear demand in fuzzy environment
title_sort	inventory model for deteriorating items with partial backlogging using linear demand in fuzzy environment
publisher	Taylor & Francis Group
publishDate	2017
url	https://doaj.org/article/2c4ccc540f3245b0bc01db8d65e106cf
work_keys_str_mv	AT neerajkumar aninventorymodelfordeterioratingitemswithpartialbackloggingusinglineardemandinfuzzyenvironment AT sanjeykumar aninventorymodelfordeterioratingitemswithpartialbackloggingusinglineardemandinfuzzyenvironment AT neerajkumar inventorymodelfordeterioratingitemswithpartialbackloggingusinglineardemandinfuzzyenvironment AT sanjeykumar inventorymodelfordeterioratingitemswithpartialbackloggingusinglineardemandinfuzzyenvironment
_version_	1718396755488276480

An inventory model for deteriorating items with partial backlogging using linear demand in fuzzy environment

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