Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/21082
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dc.contributor.authorHairul Rizad Md Sapry-
dc.contributor.authorLorio L’ wiey Anak Tawi-
dc.contributor.authorAbd Rahman Ahmad-
dc.contributor.authorShathees Baskaran-
dc.contributor.author(UniKL MITEC)-
dc.date.accessioned2019-01-17T01:45:26Z-
dc.date.available2019-01-17T01:45:26Z-
dc.date.issued2019-01-17-
dc.identifier.urihttp://ir.unikl.edu.my/jspui/handle/123456789/21082-
dc.description.abstractThe implementation of MRP systems play a crucial role in today's manufacturing process in providing valuable information not only to both marketing and manufacturing team, but the organization as a whole. Yet, MRP system does not possess the capability of doing everything. There are few limitations within MRP system in relation to flexibility and adaptability to the changes of the external environment. The objec-tive of the study is to investigate the capability of MRP system in providing an accurate forecast for the inventory requirement. The study was conducted through a qualitative case study approach by analyzing historical data of a single multinational organization which is current-ly implementing MRP system in managing their inventory. Few supply chain performance indicators were applied to measure the effective-ness of MRP system in managing the inventory process. The result revealed that MRP system under investigation is the central engine for managing inventory and ensuring customer service. However, MRP system require valid and reliable data optimized by a set of pre-defined parameters to run effectively with possible interface with other supporting software. This study suggests other supporting software such as Stock Model to be interfaced with the MRP system for greater flexibility and adaptability in respond to foreseeable or unforeseeable external changes.en_US
dc.subjectSupply Chain Managementen_US
dc.subjectInventory Managementen_US
dc.subjectMaterial Resource Planningen_US
dc.subjectStock Modelen_US
dc.titleThe effectiveness of MRP system to forecast the accuracy inven-tory requirementen_US
Appears in Collections:Conference Paper



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