Optimal production-inventory model for forest products industry supply chain under demand and supply uncertainty: Case study of a pulp mill in Ontario

The production planning models used in the forest products industry do not recognize the demand and supply uncertainty, and as such do not work in unison with the inventory management models. An integrated production planning and inventory management model of a forest products industry is developed...

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Autores principales: Shashi Shahi, Reino Pulkki, Mathew Leitch, Christopher Gaston
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Lenguaje:EN
Publicado: Taylor & Francis Group 2017
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Acceso en línea:https://doaj.org/article/1f24b8abf5e845c38a800bb0d0f46bc7
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spelling oai:doaj.org-article:1f24b8abf5e845c38a800bb0d0f46bc72021-12-02T14:07:31ZOptimal production-inventory model for forest products industry supply chain under demand and supply uncertainty: Case study of a pulp mill in Ontario2331-197510.1080/23311975.2017.1370765https://doaj.org/article/1f24b8abf5e845c38a800bb0d0f46bc72017-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2017.1370765https://doaj.org/toc/2331-1975The production planning models used in the forest products industry do not recognize the demand and supply uncertainty, and as such do not work in unison with the inventory management models. An integrated production planning and inventory management model of a forest products industry is developed in this paper. The objective is to maximize the net annual profit of the forest industry under demand and supply uncertainty. The model is formulated as a simulation-based optimization model. A case study of a pulp mill in Northwestern Ontario shows that supply and demand uncertainty causes a net annual loss of $59.9 million to the pulp mill, whereas the introduction of a merchandizing yard in the supply chain not only absorbs shocks caused due to uncertainty, but also increases the net annual profit of the pulp mill to $26.7 million. However, the merchandizing yard is viable only if the sales price of pulp is above a threshold level. The integrated supply chain model can be applied to any forest products industry as it considers the entire supply chain structure and manages all business decisions both upstream and downstream in the supply chain.Shashi ShahiReino PulkkiMathew LeitchChristopher GastonTaylor & Francis Grouparticleforest products industrysimulation-based optimizationsupply uncertaintydemand uncertaintysupply chain managementBusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 4, Iss 1 (2017)
institution DOAJ
collection DOAJ
language EN
topic forest products industry
simulation-based optimization
supply uncertainty
demand uncertainty
supply chain management
Business
HF5001-6182
Management. Industrial management
HD28-70
spellingShingle forest products industry
simulation-based optimization
supply uncertainty
demand uncertainty
supply chain management
Business
HF5001-6182
Management. Industrial management
HD28-70
Shashi Shahi
Reino Pulkki
Mathew Leitch
Christopher Gaston
Optimal production-inventory model for forest products industry supply chain under demand and supply uncertainty: Case study of a pulp mill in Ontario
description The production planning models used in the forest products industry do not recognize the demand and supply uncertainty, and as such do not work in unison with the inventory management models. An integrated production planning and inventory management model of a forest products industry is developed in this paper. The objective is to maximize the net annual profit of the forest industry under demand and supply uncertainty. The model is formulated as a simulation-based optimization model. A case study of a pulp mill in Northwestern Ontario shows that supply and demand uncertainty causes a net annual loss of $59.9 million to the pulp mill, whereas the introduction of a merchandizing yard in the supply chain not only absorbs shocks caused due to uncertainty, but also increases the net annual profit of the pulp mill to $26.7 million. However, the merchandizing yard is viable only if the sales price of pulp is above a threshold level. The integrated supply chain model can be applied to any forest products industry as it considers the entire supply chain structure and manages all business decisions both upstream and downstream in the supply chain.
format article
author Shashi Shahi
Reino Pulkki
Mathew Leitch
Christopher Gaston
author_facet Shashi Shahi
Reino Pulkki
Mathew Leitch
Christopher Gaston
author_sort Shashi Shahi
title Optimal production-inventory model for forest products industry supply chain under demand and supply uncertainty: Case study of a pulp mill in Ontario
title_short Optimal production-inventory model for forest products industry supply chain under demand and supply uncertainty: Case study of a pulp mill in Ontario
title_full Optimal production-inventory model for forest products industry supply chain under demand and supply uncertainty: Case study of a pulp mill in Ontario
title_fullStr Optimal production-inventory model for forest products industry supply chain under demand and supply uncertainty: Case study of a pulp mill in Ontario
title_full_unstemmed Optimal production-inventory model for forest products industry supply chain under demand and supply uncertainty: Case study of a pulp mill in Ontario
title_sort optimal production-inventory model for forest products industry supply chain under demand and supply uncertainty: case study of a pulp mill in ontario
publisher Taylor & Francis Group
publishDate 2017
url https://doaj.org/article/1f24b8abf5e845c38a800bb0d0f46bc7
work_keys_str_mv AT shashishahi optimalproductioninventorymodelforforestproductsindustrysupplychainunderdemandandsupplyuncertaintycasestudyofapulpmillinontario
AT reinopulkki optimalproductioninventorymodelforforestproductsindustrysupplychainunderdemandandsupplyuncertaintycasestudyofapulpmillinontario
AT mathewleitch optimalproductioninventorymodelforforestproductsindustrysupplychainunderdemandandsupplyuncertaintycasestudyofapulpmillinontario
AT christophergaston optimalproductioninventorymodelforforestproductsindustrysupplychainunderdemandandsupplyuncertaintycasestudyofapulpmillinontario
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