Modelling the dynamics of inventory and backlog management in servitized supply chains: The case of custom industrial manufacturing girms

An important challenge for managers in a servitized supply chain is to integrate the delivery of the products and services such that resources and knowledge are used effectively and efficiently. In the absence of a study that simultaneously considered the various services rendered at different stage...

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Main Authors: Dizon, Liezel Bianca, Mutuc, Jose Edgar
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Published: Animo Repository 2019
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2096
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3095/type/native/viewcontent
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-30952021-08-16T03:31:04Z Modelling the dynamics of inventory and backlog management in servitized supply chains: The case of custom industrial manufacturing girms Dizon, Liezel Bianca Mutuc, Jose Edgar An important challenge for managers in a servitized supply chain is to integrate the delivery of the products and services such that resources and knowledge are used effectively and efficiently. In the absence of a study that simultaneously considered the various services rendered at different stages of the product life of a servitized manufacturing firm, this study developed a system dynamics simulation model that incorporates the product and service operations of a custom industrial manufacturing firm and the response of the customers in the firm's service level to analyze the effectiveness of various service capacity and inventory strategies. From the insights generated in the results and analysis, alternative policies that target the major feedback loops were generated. The policies include incorporating manufacturing and service capacity utilization decisions, and a dynamic safety stock decision. These policies were proven to improve the overall system behavior by significantly attenuating the amplifications, phase lags, and oscillations in all subsystems of the servitized supply chain, while maintaining desirable service levels. The theoretical findings were then translated tomanagerial implications. © 2019 IEEE. 2019-05-14T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/2096 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3095/type/native/viewcontent Faculty Research Work Animo Repository Business logistics Manufacturing industries—Inventory control Industrial Engineering Operations Research, Systems Engineering and Industrial Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Business logistics
Manufacturing industries—Inventory control
Industrial Engineering
Operations Research, Systems Engineering and Industrial Engineering
spellingShingle Business logistics
Manufacturing industries—Inventory control
Industrial Engineering
Operations Research, Systems Engineering and Industrial Engineering
Dizon, Liezel Bianca
Mutuc, Jose Edgar
Modelling the dynamics of inventory and backlog management in servitized supply chains: The case of custom industrial manufacturing girms
description An important challenge for managers in a servitized supply chain is to integrate the delivery of the products and services such that resources and knowledge are used effectively and efficiently. In the absence of a study that simultaneously considered the various services rendered at different stages of the product life of a servitized manufacturing firm, this study developed a system dynamics simulation model that incorporates the product and service operations of a custom industrial manufacturing firm and the response of the customers in the firm's service level to analyze the effectiveness of various service capacity and inventory strategies. From the insights generated in the results and analysis, alternative policies that target the major feedback loops were generated. The policies include incorporating manufacturing and service capacity utilization decisions, and a dynamic safety stock decision. These policies were proven to improve the overall system behavior by significantly attenuating the amplifications, phase lags, and oscillations in all subsystems of the servitized supply chain, while maintaining desirable service levels. The theoretical findings were then translated tomanagerial implications. © 2019 IEEE.
format text
author Dizon, Liezel Bianca
Mutuc, Jose Edgar
author_facet Dizon, Liezel Bianca
Mutuc, Jose Edgar
author_sort Dizon, Liezel Bianca
title Modelling the dynamics of inventory and backlog management in servitized supply chains: The case of custom industrial manufacturing girms
title_short Modelling the dynamics of inventory and backlog management in servitized supply chains: The case of custom industrial manufacturing girms
title_full Modelling the dynamics of inventory and backlog management in servitized supply chains: The case of custom industrial manufacturing girms
title_fullStr Modelling the dynamics of inventory and backlog management in servitized supply chains: The case of custom industrial manufacturing girms
title_full_unstemmed Modelling the dynamics of inventory and backlog management in servitized supply chains: The case of custom industrial manufacturing girms
title_sort modelling the dynamics of inventory and backlog management in servitized supply chains: the case of custom industrial manufacturing girms
publisher Animo Repository
publishDate 2019
url https://animorepository.dlsu.edu.ph/faculty_research/2096
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3095/type/native/viewcontent
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