The Impact of Information Sharing on Different Performance Indicators in a Multi-Level Supply Chain

Enterprises can use different methods/principles to obtain competitive advantages. Information sharing (IS) among supply chain (SC) partners is also one of these methods used in enterprises and it has positive effects on overall system performance like reduced inventory level, decreased cost, bullwh...

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Autores principales: Yasemin Altun Türker*, Tuğba Tunacan, Orhan Torkul
Formato: article
Lenguaje:EN
Publicado: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021
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Acceso en línea:https://doaj.org/article/fbed66f63e724165ad0ebf330152a635
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spelling oai:doaj.org-article:fbed66f63e724165ad0ebf330152a6352021-11-07T00:35:43ZThe Impact of Information Sharing on Different Performance Indicators in a Multi-Level Supply Chain1330-36511848-6339https://doaj.org/article/fbed66f63e724165ad0ebf330152a6352021-01-01T00:00:00Zhttps://hrcak.srce.hr/file/383561https://doaj.org/toc/1330-3651https://doaj.org/toc/1848-6339Enterprises can use different methods/principles to obtain competitive advantages. Information sharing (IS) among supply chain (SC) partners is also one of these methods used in enterprises and it has positive effects on overall system performance like reduced inventory level, decreased cost, bullwhip effects and increased profit. In this paper, our aim is to present the impacts of IS on different costs like ordering, holding and penalty costs of each SC member and total system costs in multi SC. We want to show the effects of sharing different types of information simultaneously or separately on SC partners as cost change. Besides, this paper presents the situation of order quantity estimation according to the proximity of actual order quantity in decentralized or centralized demand sharing. A model is developed to determine IS influence on the cost of SC partners. Various IS scenarios are studied in this paper. The customer demand, warehouse order quantity and warehouse-manufacturer lead time are the shared information of scenarios. Results are tested and analysed by using analysis of variance (ANOVA).The findings of this study show that IS especially simultaneously sharing reduces system costs. Lead time sharing provides the lowest cost between other types of sharing. For every system member, holding cost reduces the most during IS. The more accurate demand forecasting is performed in centralized demand sharing compared to decentralized sharing.Yasemin Altun Türker*Tuğba TunacanOrhan TorkulFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek articleinformation sharingmulti-level supply chainsupply chain managementEngineering (General). Civil engineering (General)TA1-2040ENTehnički Vjesnik, Vol 28, Iss 6, Pp 1960-1974 (2021)
institution DOAJ
collection DOAJ
language EN
topic information sharing
multi-level supply chain
supply chain management
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle information sharing
multi-level supply chain
supply chain management
Engineering (General). Civil engineering (General)
TA1-2040
Yasemin Altun Türker*
Tuğba Tunacan
Orhan Torkul
The Impact of Information Sharing on Different Performance Indicators in a Multi-Level Supply Chain
description Enterprises can use different methods/principles to obtain competitive advantages. Information sharing (IS) among supply chain (SC) partners is also one of these methods used in enterprises and it has positive effects on overall system performance like reduced inventory level, decreased cost, bullwhip effects and increased profit. In this paper, our aim is to present the impacts of IS on different costs like ordering, holding and penalty costs of each SC member and total system costs in multi SC. We want to show the effects of sharing different types of information simultaneously or separately on SC partners as cost change. Besides, this paper presents the situation of order quantity estimation according to the proximity of actual order quantity in decentralized or centralized demand sharing. A model is developed to determine IS influence on the cost of SC partners. Various IS scenarios are studied in this paper. The customer demand, warehouse order quantity and warehouse-manufacturer lead time are the shared information of scenarios. Results are tested and analysed by using analysis of variance (ANOVA).The findings of this study show that IS especially simultaneously sharing reduces system costs. Lead time sharing provides the lowest cost between other types of sharing. For every system member, holding cost reduces the most during IS. The more accurate demand forecasting is performed in centralized demand sharing compared to decentralized sharing.
format article
author Yasemin Altun Türker*
Tuğba Tunacan
Orhan Torkul
author_facet Yasemin Altun Türker*
Tuğba Tunacan
Orhan Torkul
author_sort Yasemin Altun Türker*
title The Impact of Information Sharing on Different Performance Indicators in a Multi-Level Supply Chain
title_short The Impact of Information Sharing on Different Performance Indicators in a Multi-Level Supply Chain
title_full The Impact of Information Sharing on Different Performance Indicators in a Multi-Level Supply Chain
title_fullStr The Impact of Information Sharing on Different Performance Indicators in a Multi-Level Supply Chain
title_full_unstemmed The Impact of Information Sharing on Different Performance Indicators in a Multi-Level Supply Chain
title_sort impact of information sharing on different performance indicators in a multi-level supply chain
publisher Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
publishDate 2021
url https://doaj.org/article/fbed66f63e724165ad0ebf330152a635
work_keys_str_mv AT yaseminaltunturker theimpactofinformationsharingondifferentperformanceindicatorsinamultilevelsupplychain
AT tugbatunacan theimpactofinformationsharingondifferentperformanceindicatorsinamultilevelsupplychain
AT orhantorkul theimpactofinformationsharingondifferentperformanceindicatorsinamultilevelsupplychain
AT yaseminaltunturker impactofinformationsharingondifferentperformanceindicatorsinamultilevelsupplychain
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