船舶维修供应链中船舶备件配送中心选址决策模型

H. Sirisena, N. A. Samarasekera
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引用次数: 1

摘要

设施选址决策(FLD)建模是一种战略层面的评估技术,可以被认为是供应链设计中最关键的方面之一。在航运业中,高效的船舶零部件供应链对于维持航运公司不间断的运营活动至关重要。因此,船舶备件的战略性存储和分配是船舶维修供应链(SMSC)的一个重要特征。由于船舶备件需求的间歇性和船上存储的限制,需要在合适的岸上位置设置配送中心(DC)。寻找船舶备件DC的战略位置已成为参与物流过程的决策者的首要任务。作为一项及时的研究,本研究试图建立一个船舶备件DC的定位模型,同时进行可行性分析,寻找斯里兰卡最适合的船舶备件DC的位置。目的:通过对备选地点的评估,确定影响SMSC中FLD的主要因素,以找到斯里兰卡最合适的船舶备件DC位置,并为斯里兰卡的SMSC开发FLD模型。方法:本研究采用了混合方法,收集了定量和定性数据。最初的文献综述、对行业专业人士的访谈、调查问卷和从官方行业记录中收集的二手数据是主要的数据来源。采用层次分析法(AHP)和因子评定法作为数据分析工具,确定最佳选址。综上所述,利用已识别的因子和已开发的指数建立了FLD模型。
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Vessel Spare Parts Distribution Center Location Decision Model for Ship Maintenance Supply Chain
Facility Location Decision (FLD) modelling is a strategic level assessment technique which can be considered as one of the most critical aspects when designing a supply chain. In the maritime industry, an efficient supply chain of vessel spare-parts is vital to maintain uninterrupted operational activities of a shipping line. Thus, storing vessel spare parts in a strategic location and distribution of spares is considered as an important feature in a Ship Maintenance Supply Chain (SMSC). The intermittent nature of demand for vessel spare parts and restrictions to store them on board create the need of locating a Distribution Centre (DC) at a suitable on shore location. Finding a strategic location for a vessel spare parts DC has been given top priority by the decision makers involved in the logistics process. As a timely research, this study has attempted to develop a model to locate a vessel spare parts DC, while carrying out a feasibility analysis to find the most suitable location for a vessel spare-parts DC in Sri Lanka.Purpose: Identify the major factors affecting a FLD in SMSC through evaluation of site alternatives to find the most suitable vessel spare parts DC location in Sri Lanka and to develop a FLD model for SMSC in Sri Lankan context.Methodology: A mixed approach was used for this study where both quantitative and qualitative data was collected. The initial literature review, interviews carried out with industry professionals, survey questionnaires and collection of secondary data from official industry records were the main data sources. Analytical Hierarchy Process (AHP) and Factor Rating Method were used as data analytic tools to derive the best location. In conclusion, the proposed FLD model was developed using the identified factors and the developed indices for each location alternative.
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