EVALUATION OF THE PRODUCTION PLANNING POLICY ALTERNATIVES IN A PET RESIN PRODUCTION PLANT: A CASE STUDY FROM TURKEY

Detalhes bibliográficos
Autor(a) principal: Demirkan, Abdullah Akman
Data de Publicação: 2020
Outros Autores: Unutmaz Durmuşoğlu, Zeynep Didem
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Operations & Production Management (Online)
Texto Completo: https://bjopm.org.br/bjopm/article/view/884
Resumo: Goal: The main purpose of this work is to develop several production planning models for one of bottle grade PET production plants (in Turkey) under different scenarios by considering different levels of inventory (no stock and different levels of safety stocks), different energy sourcing alternatives (natural gas/coal or both) and production throughput (different lot sizes). Design/Methodology/Approach: Deterministic multi-product multi-period single level mixed integer linear programming model is presented. The model is implemented for the above defined scenarios. We have also considered the total emission produced for different energy alternatives. Results: The models for the different scenarios have shown that significant performance improvements can be achieved by changing the parameters/policies of the production. The best model obtained has yielded 6.6% of profit improvement and 6.9% of cost reduction. Limitations of the investigation: Planning horizon of this work could cover the data of years 2014 to 2018. However, the actual data employed for this study is limited with one year due to unavailability of further data. In addition to this, improvement of current production planning approach of the plant by implementation of proposed model is one of the objectives of this study to see success rate of model. Though, this couldn’t be realized. We hypothetically tested the improvement provided by the proposed model, therefore we can’t analyze the actual improvement. Practical implications: Interactions among optimal results obtained by running model with different scenarios and their effect on selected performance variables are the main contribution of this work. Similar methodology could be used at other PET resin manufacturing plants or alternatively the production facilities having similar type of continuous manufacturing processes to find their optimal levels of inventory, production throughput and proper choice for energy sourcing alternative. Originality/Value:  The research on the production planning for PET resin industry by considering the different scenarios (levels of inventory / energy sourcing alternatives/ production throughput) is novel as far as we know, and therefore the approach used in this study is expected to be useful for other similar plants.
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spelling EVALUATION OF THE PRODUCTION PLANNING POLICY ALTERNATIVES IN A PET RESIN PRODUCTION PLANT: A CASE STUDY FROM TURKEYPET resinContinuous multi-grade productionProduction PlanningMILPCapacitated lot sizingGoal: The main purpose of this work is to develop several production planning models for one of bottle grade PET production plants (in Turkey) under different scenarios by considering different levels of inventory (no stock and different levels of safety stocks), different energy sourcing alternatives (natural gas/coal or both) and production throughput (different lot sizes). Design/Methodology/Approach: Deterministic multi-product multi-period single level mixed integer linear programming model is presented. The model is implemented for the above defined scenarios. We have also considered the total emission produced for different energy alternatives. Results: The models for the different scenarios have shown that significant performance improvements can be achieved by changing the parameters/policies of the production. The best model obtained has yielded 6.6% of profit improvement and 6.9% of cost reduction. Limitations of the investigation: Planning horizon of this work could cover the data of years 2014 to 2018. However, the actual data employed for this study is limited with one year due to unavailability of further data. In addition to this, improvement of current production planning approach of the plant by implementation of proposed model is one of the objectives of this study to see success rate of model. Though, this couldn’t be realized. We hypothetically tested the improvement provided by the proposed model, therefore we can’t analyze the actual improvement. Practical implications: Interactions among optimal results obtained by running model with different scenarios and their effect on selected performance variables are the main contribution of this work. Similar methodology could be used at other PET resin manufacturing plants or alternatively the production facilities having similar type of continuous manufacturing processes to find their optimal levels of inventory, production throughput and proper choice for energy sourcing alternative. Originality/Value:  The research on the production planning for PET resin industry by considering the different scenarios (levels of inventory / energy sourcing alternatives/ production throughput) is novel as far as we know, and therefore the approach used in this study is expected to be useful for other similar plants.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2020-06-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionCase studyapplication/pdfhttps://bjopm.org.br/bjopm/article/view/88410.14488/BJOPM.2020.024Brazilian Journal of Operations & Production Management; Vol. 17 No. 2 (2020): June, 2020; 1-242237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/884/930Copyright (c) 2020 Abdullah Akman Demirkan, Zeynep Didem Unutmaz Durmuşoğluinfo:eu-repo/semantics/openAccessDemirkan, Abdullah AkmanUnutmaz Durmuşoğlu, Zeynep Didem2020-06-04T11:33:11Zoai:ojs.bjopm.org.br:article/884Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:23.652866Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv EVALUATION OF THE PRODUCTION PLANNING POLICY ALTERNATIVES IN A PET RESIN PRODUCTION PLANT: A CASE STUDY FROM TURKEY
title EVALUATION OF THE PRODUCTION PLANNING POLICY ALTERNATIVES IN A PET RESIN PRODUCTION PLANT: A CASE STUDY FROM TURKEY
spellingShingle EVALUATION OF THE PRODUCTION PLANNING POLICY ALTERNATIVES IN A PET RESIN PRODUCTION PLANT: A CASE STUDY FROM TURKEY
Demirkan, Abdullah Akman
PET resin
Continuous multi-grade production
Production Planning
MILP
Capacitated lot sizing
title_short EVALUATION OF THE PRODUCTION PLANNING POLICY ALTERNATIVES IN A PET RESIN PRODUCTION PLANT: A CASE STUDY FROM TURKEY
title_full EVALUATION OF THE PRODUCTION PLANNING POLICY ALTERNATIVES IN A PET RESIN PRODUCTION PLANT: A CASE STUDY FROM TURKEY
title_fullStr EVALUATION OF THE PRODUCTION PLANNING POLICY ALTERNATIVES IN A PET RESIN PRODUCTION PLANT: A CASE STUDY FROM TURKEY
title_full_unstemmed EVALUATION OF THE PRODUCTION PLANNING POLICY ALTERNATIVES IN A PET RESIN PRODUCTION PLANT: A CASE STUDY FROM TURKEY
title_sort EVALUATION OF THE PRODUCTION PLANNING POLICY ALTERNATIVES IN A PET RESIN PRODUCTION PLANT: A CASE STUDY FROM TURKEY
author Demirkan, Abdullah Akman
author_facet Demirkan, Abdullah Akman
Unutmaz Durmuşoğlu, Zeynep Didem
author_role author
author2 Unutmaz Durmuşoğlu, Zeynep Didem
author2_role author
dc.contributor.author.fl_str_mv Demirkan, Abdullah Akman
Unutmaz Durmuşoğlu, Zeynep Didem
dc.subject.por.fl_str_mv PET resin
Continuous multi-grade production
Production Planning
MILP
Capacitated lot sizing
topic PET resin
Continuous multi-grade production
Production Planning
MILP
Capacitated lot sizing
description Goal: The main purpose of this work is to develop several production planning models for one of bottle grade PET production plants (in Turkey) under different scenarios by considering different levels of inventory (no stock and different levels of safety stocks), different energy sourcing alternatives (natural gas/coal or both) and production throughput (different lot sizes). Design/Methodology/Approach: Deterministic multi-product multi-period single level mixed integer linear programming model is presented. The model is implemented for the above defined scenarios. We have also considered the total emission produced for different energy alternatives. Results: The models for the different scenarios have shown that significant performance improvements can be achieved by changing the parameters/policies of the production. The best model obtained has yielded 6.6% of profit improvement and 6.9% of cost reduction. Limitations of the investigation: Planning horizon of this work could cover the data of years 2014 to 2018. However, the actual data employed for this study is limited with one year due to unavailability of further data. In addition to this, improvement of current production planning approach of the plant by implementation of proposed model is one of the objectives of this study to see success rate of model. Though, this couldn’t be realized. We hypothetically tested the improvement provided by the proposed model, therefore we can’t analyze the actual improvement. Practical implications: Interactions among optimal results obtained by running model with different scenarios and their effect on selected performance variables are the main contribution of this work. Similar methodology could be used at other PET resin manufacturing plants or alternatively the production facilities having similar type of continuous manufacturing processes to find their optimal levels of inventory, production throughput and proper choice for energy sourcing alternative. Originality/Value:  The research on the production planning for PET resin industry by considering the different scenarios (levels of inventory / energy sourcing alternatives/ production throughput) is novel as far as we know, and therefore the approach used in this study is expected to be useful for other similar plants.
publishDate 2020
dc.date.none.fl_str_mv 2020-06-03
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Case study
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://bjopm.org.br/bjopm/article/view/884
10.14488/BJOPM.2020.024
url https://bjopm.org.br/bjopm/article/view/884
identifier_str_mv 10.14488/BJOPM.2020.024
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://bjopm.org.br/bjopm/article/view/884/930
dc.rights.driver.fl_str_mv Copyright (c) 2020 Abdullah Akman Demirkan, Zeynep Didem Unutmaz Durmuşoğlu
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Abdullah Akman Demirkan, Zeynep Didem Unutmaz Durmuşoğlu
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
dc.source.none.fl_str_mv Brazilian Journal of Operations & Production Management; Vol. 17 No. 2 (2020): June, 2020; 1-24
2237-8960
reponame:Brazilian Journal of Operations & Production Management (Online)
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Brazilian Journal of Operations & Production Management (Online)
collection Brazilian Journal of Operations & Production Management (Online)
repository.name.fl_str_mv Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv bjopm.journal@gmail.com
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