Developing a Multi-Stage Production Planning and Scheduling Model for a Small-Size Food and Beverage Company

dc.authorscopusid 36020622300
dc.authorscopusid 35607841600
dc.authorscopusid 6507609699
dc.contributor.author Tirkeş,G.
dc.contributor.author Çelebi,N.
dc.contributor.author Güray,C.
dc.contributor.other Industrial Engineering
dc.contributor.other Department of Metallurgical and Materials Engineering
dc.date.accessioned 2024-07-05T15:46:15Z
dc.date.available 2024-07-05T15:46:15Z
dc.date.issued 2021
dc.department Atılım University en_US
dc.department-temp Tirkeş G., Department of Computer Engineering, Atilim University, Kizilcaşar Mahallesi, Incek, Gölbaşi/Ankara, 06830, Turkey; Çelebi N., Department of Mining Engineering, METU - Üniversiteler, Dumlupinar Bulvari 1/6-133, Çankaya/Ankara, 06800, Turkey; Güray C., Department of Music Theory, Hacettepe University Ankara State Conservatory, Üniversiteler Mahallesi, Beytepe Kampüsü 35 C, Çankaya/Ankara, 06800, Turkey en_US
dc.description.abstract A great deal of research has been undertaken in recent years related to facility capacity expansion and production planning problems under deterministic and stochastic constraints in the literature. However, only a small portion of this work directly addresses the issues faced by the food and beverage industry, especially in small-sized enterprises. In this study, a Mixed-Integer Linear Programming model (MILP) is developed for production planning and scheduling decisions for a small-size company producing syrup and jam products. The main constraint is that the multiple syrup and jam production lines in the model share the same limited-capacity module designed for inventory planning. To this end, the present model offers an efficient solution for executing a multi-product, multi-period production line by finding the most satisfactory strategy to match the right product with the useable capacity leading to profit maximization. The present approach is capable of coping with varying demands by offering a detailed costing procedure and implementing an effective inventory model. © 2021 Lavoisier. All rights reserved. en_US
dc.identifier.citationcount 3
dc.identifier.doi 10.18280/JESA.540209
dc.identifier.endpage 281 en_US
dc.identifier.issn 1269-6935
dc.identifier.issue 2 en_US
dc.identifier.scopus 2-s2.0-85105565601
dc.identifier.scopusquality Q3
dc.identifier.startpage 273 en_US
dc.identifier.uri https://doi.org/10.18280/JESA.540209
dc.identifier.uri https://hdl.handle.net/20.500.14411/4036
dc.identifier.volume 54 en_US
dc.institutionauthor Çelebi, Neşe
dc.institutionauthor Güray, Cenk
dc.language.iso en en_US
dc.publisher International Information and Engineering Technology Association en_US
dc.relation.ispartof Journal Europeen des Systemes Automatises en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 5
dc.subject Mathematical modeling en_US
dc.subject MILP en_US
dc.subject Multi-period en_US
dc.subject Multi-product en_US
dc.subject Optimization in food and beverage production en_US
dc.subject Production planning en_US
dc.subject Production scheduling en_US
dc.title Developing a Multi-Stage Production Planning and Scheduling Model for a Small-Size Food and Beverage Company en_US
dc.type Article en_US
dspace.entity.type Publication
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