Analysis of Factors Affecting the Benefits of Demand Information Sharing
dc.contributor.author | Jin, Hyun-Woong | |
dc.contributor.other | Ekonomická fakulta | cs |
dc.date.accessioned | 2019-09-16T08:54:22Z | |
dc.date.available | 2019-09-16T08:54:22Z | |
dc.description.abstract | Sharing customer demand information across the supply chain is known to be an effective approach to improve the performance of the whole supply chain. However, demand information sharing between companies requires a large amount of budget and leads to a change in the work process within the organization. Therefore, it is necessary to verify whether the sharing of customer demand information is beneficial to the company or not by considering their business environment. This paper aims to analyze the benefits of demand information sharing between companies in various business environments in order to provide managerial implications for the companies considering the adoption of a collaborative inventory management policy with external companies. This research uses a simulation approach based on system dynamics to model the considered supply chain and to explore its performance. For the simulation test, two types of simulation models were developed which represent a supply chain without information sharing and a supply chain with information sharing. Test results were analyzed in terms of the bullwhip effect, the inventory level and the stockout rate of the retailer. The results of this research may help practitioners to understand the dynamics of supply chain when the customer demand is shared. These understandings could help them to make a decision on adopting a collaborative inventory management policy based on the demand information sharing. The originality of this paper is that it deals with various business environments which are rarely considered in the previous researches. These include the length of ordering cycle, the maximum size of ordering quantity, backlog versus lost sales and the type of information shared. | en |
dc.format | text | |
dc.identifier.doi | 10.15240/tul/001/2019-3-013 | |
dc.identifier.eissn | 2336-5604 | |
dc.identifier.issn | 1212-3609 | |
dc.identifier.orcid | 0000-0001-8787-8454 Jin, Hyun-Woong | |
dc.identifier.uri | https://dspace.tul.cz/handle/15240/153582 | |
dc.language.iso | en | |
dc.publisher | Technická Univerzita v Liberci | cs |
dc.publisher | Technical university of Liberec, Czech Republic | en |
dc.publisher.abbreviation | TUL | |
dc.relation.isbasedon | Bischak, D. P., Robb, D. J., Silver, E. A., & Blackburn, J. D. (2014). Analysis and management of periodic review, Order-Up-To level inventory systems with order crossover. Production and Operations Management, 23(5), 762-772. https://doi.org/10.1111/poms.12072. | |
dc.relation.isbasedon | Chen, F., Drezner, Z., Ryan, J. K., & Simchi-Levi, D. (2000). Quantifying the bullwhip effect in a simple supply chain: the impact of forecasting, lead times and information. Management Science, 46(3), 436-443. https://doi.org/10.1287/mnsc.46.3.436.12069. | |
dc.relation.isbasedon | Cho, M. (2011). Impact of smoothed replenishment ordering policy on the performance measures in supply chain. Journal of Korean Society of Simulation, 20(2), 19-27. https://doi.org/10.9709/JKSS.2011.20.2.019. | |
dc.relation.isbasedon | Christina, T. S. (2004). System dynamics model as a decision support tool for inventory management improvement (Doctoral dissertation). Delft University of Technology, Netherlands. | |
dc.relation.isbasedon | Costantino, F., Gravio, G. D., Shaban, A., & Tronci, M. (2014). The impact of information sharing and inventory control coordination on supply chain performances. Computers & Industrial Engineering, 76, 292-306. https://doi.org/10.1016/j.cie.2014.08.006. | |
dc.relation.isbasedon | Costantino, F., Gravio, G. D., Shaban, A., & Tronci, M. (2015). The impact of information sharing on ordering policies to improve supply chain performances. Computers & Industrial Engineering, 82, 127-142. https://doi.org/10.1016/j.cie.2015.01.024. | |
dc.relation.isbasedon | Dejonckheere, J., Disney, S. M., Lambrecht, M. R., & Towill, D. R. (2004). The impact of information enrichment on the bullwhip effect in supply chains: A control engineering perspective. European Journal of Operational Research, 153(3), 727-750. https://doi.org/10.1016/S0377-2217(02)00808-1. | |
dc.relation.isbasedon | Eruguz, A. S., Jemai, Z., Sahin, E., & Dallery, Y. (2014). Optimising reorder intervals and order-up-to levels in guaranteed service supply chains. International Journal of Production Research, 52(1), 149-164. https://doi.org/10.1080/00207543.2013.831188. | |
dc.relation.isbasedon | Feng, Y. (2012). System dynamics modeling for supply chain information sharing. Physics Procedia, 25, 1463-1469. https://doi.org/10.1016/j.phpro.2012.03.263. | |
dc.relation.isbasedon | Gayon, J., Massonnet, G., Rapine, C., & Stauffer, G. (2016). Constant approximation algorithms for the one warehouse multiple retailers problem with backlog or lost-sales. European Journal of Operational Research, 250, 155-163. https://doi.org/10.1016/j.ejor.2015.10.054. | |
dc.relation.isbasedon | Hsu, P., & Teng, H. (2017). Optimal ordering quantities with stochastic demand under deterioration and amelioration. In L. Yongqiang, A. Hunjet, & A. Roncevic (Eds.), Proceeding of the 20th International Scientific Conference on Economic and Social Development (pp.103-110). Prague, Czech Republic. | |
dc.relation.isbasedon | Jin, H. (2017). Analysis of leadtime effects on VMI system: System dynamics approach. International Journal of Applied Management Science, 9(1), 38-54. https://doi.org/10.1504/IJAMS.2017.082415. | |
dc.relation.isbasedon | Lee, H. L., Padmanabhan, V., & Whang, S. (1997). The bullwhip effect in supply chains. Sloan Management Review, 38(3), 93-102. | |
dc.relation.isbasedon | Lee, H. L., So, K. C., & Tang, C. S. (2000). The value of Information sharing in a two-level supply chain. Management Science, 46(5), 626-643. https://doi.org/10.1287/mnsc.46.5.626.12047. | |
dc.relation.isbasedon | Kim, H., Lu, J., Kvam, P. H., & Tsao, Y. (2011). Ordering quantity decisions considering uncertainty in supply-chain logistics operations. International Journal of Production Economics, 134(1), 16-27. https://doi.org/10.1016/j.ijpe.2011.02.017. | |
dc.relation.isbasedon | Sabitha, D., Rajendran, C., Kalpakam, S., & Ziegler, H. (2016). The value of information sharing in a serial supply chain with AR(1) demand and non-zero replenishment lead times. European Journal of Operational Research, 255(3), 758-777. https://doi.org/10.1016/j.ejor.2016.05.016. | |
dc.relation.isbasedon | Sari, K. (2007). Exploring the benefits of vendor managed inventory. International Journal of Physical Distribution & Logistics Management, 37(7), 529-545. https://doi.org/10.1108/09600030710776464. | |
dc.relation.isbasedon | Singha, K., Buddhakulsomsiri, J., & Parthanadee, P. (2017). Mathematical model of (R,Q) inventory policy under limited storage space for continuous and periodic review policies with backlog and lost sales. Mathematical Problems in Engineering, 2017, 1-9. https://doi.org/10.1155/2017/4391970. | |
dc.relation.isbasedon | Sternman, J. D. (2000). Business dynamics: Systems thinking and modeling for a complex world. New York: McGraw-Hill. | |
dc.relation.isbasedon | Thomas, R., & Esper, T. (2010). Exploring relational asymmetry in supply chains: the retailer's perspective. International Journal of Physical Distribution & Logistics Management, 40(6), 475-494. https://doi.org/10.1108/09600031011062209. | |
dc.relation.isbasedon | Yigitbasioglu, O. (2010). Information sharing with key suppliers: a transaction cost theory perspective. International Journal of Physical Distribution & Logistics Management, 40(7), 550-578. https://doi.org/10.1108/09600031011072000. | |
dc.relation.isbasedon | Yu, Z., Yan, H., & Cheng, E. (2001). Benefits of information sharing with supply chain partnerships. Industrial Management & Data Systems, 101(3), 114-119. https://doi.org/10.1108/02635570110386625. | |
dc.relation.isbasedon | Zhang, C., & Zhang, C. (2007). Design and simulation of demand information sharing in a supply chain. Simulation Modelling Practice and Theory, 15(1), 32-46. https://doi.org/10.1016/j.simpat.2006.09.011. | |
dc.relation.ispartof | Ekonomie a Management | cs |
dc.relation.ispartof | Economics and Management | en |
dc.relation.isrefereed | true | |
dc.rights | CC BY-NC | |
dc.subject | information sharing | en |
dc.subject | system dynamics | en |
dc.subject | simulation | en |
dc.subject | bullwhip effect | en |
dc.subject | collaborative inventory management | en |
dc.subject.classification | M10 | |
dc.subject.classification | M11 | |
dc.subject.classification | C63 | |
dc.title | Analysis of Factors Affecting the Benefits of Demand Information Sharing | en |
dc.type | Article | en |
local.access | open | |
local.citation.epage | 219 | |
local.citation.spage | 204 | |
local.faculty | Faculty of Economics | |
local.filename | EM_3_2019_13 | |
local.fulltext | yes | |
local.relation.abbreviation | E+M | cs |
local.relation.abbreviation | E&M | en |
local.relation.issue | 3 | |
local.relation.volume | 22 |
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