Optimizing planned lead times for enhancing performance of MRP systems

NCUIR > School of Management at National Central University > Graduate Institute of Industrial Management > journal & Dissertation > Item 987654321/99948

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/99948

Title:	Optimizing planned lead times for enhancing performance of MRP systems
Authors:	王啟泰;Milne, R. John;Mahapatra, Santosh;Wang, Chi-Tai
Contributors:	管理學院工業管理研究所
Keywords:	Electronics industry;Integer programming;Manufacturing;Material requirements planning;Material Requirements Planning (MRP);Mathematical models;Mixed integer program (MIP);Optimization techniques;Planned lead time (PLT);Studies
Date:	2015-01-01
Issue Date:	2026-04-21 13:42:42 (UTC+8)
Publisher:	Elsevier;Amsterdam: Elsevier B.V
Abstract:	摘要： Material Requirements Planning (MRP) systems are frequently used in discrete parts manufacturing to determine planned order releases. This paper proposes a mixed integer program (MIP) model to determine the optimal values of planned lead times to be used by an MRP system. The MIP contains a set of integrated constraints that determine planned orders similar to how an MRP system would while executing these planned orders under capacity and component availability constraints. The model includes an optional fixed-periods lot sizing policy and minimizes the costs of excess finished and in-process inventories, setups, backorders, exceeding capacity (e.g. outsourcing), and changes in planned lead times. Experimental results—using data from a DRAM manufacturer—indicate that the proposed method of determining planned lead times is superior to a commonly used ad hoc method for determining the planned lead times used by an MRP system. 出版者： Amsterdam: Elsevier B.V 出版日期： 2015-09 出處： International journal of production economics, 2015-09, Vol.167, p.220-231 資源來源： Elsevier ScienceDirect Journals Complete 版權： 2015 Elsevier B.V. 版權： Copyright Elsevier Sequoia S.A. Sep 2015 識別號： ISSN: 0925-5273 識別號： EISSN: 1873-7579 識別號： DOI: 10.1016/j.ijpe.2015.05.013 識別號： CODEN: IJPCEY
Appears in Collections:	[Graduate Institute of Industrial Management] journal & Dissertation

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