优先考虑斯里兰卡第三方物流行业的仓库绩效措施

M. Gunathilaka, C. Kavirathna, A. Wijayanayake, Jinadari Prabodhika
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摘要

公司不断调整其全球业务流程,以提高当今商业环境中的整体绩效。为了专注于核心业务流程,许多制造和零售组织将物流服务外包给第三方物流公司。仓储是物流服务外包最多的服务之一。在这种环境中,仓库操作在通过大量升级实现良好性能方面发挥着关键作用。仓库性能度量现在被看作是一种度量由仓库提供的活动性能、程序或服务的技术。虽然与全球第三方物流行业相比,斯里兰卡的第三方物流行业的物流表现不佳,但斯里兰卡具有发展成为南亚重要物流枢纽所需的地理优势,因为它靠近印度,位于东西贸易路线上。因此,本研究通过文献综述的方式对仓库绩效指标进行调查,并通过行业专家的意见对斯里兰卡第三方物流仓库的绩效指标进行验证。使用层次分析过程(AHP)作为加权方法对确定的仓库性能度量进行优先级排序,以关注主要类别和主要仓库性能度量。由于测量仓库性能必须考虑许多标准和指标,因此利用层次分析过程(AHP)作为线性聚合方法构建了复合仓库性能指数(CWPI)。建议的模型在一个从三个第三方物流组织接受仓储服务的客户身上进行了测试。
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Prioritizing Warehouse Performance Measures in Sri Lankan 3PL Industry
Companies constantly adapt their global business procedures to increase overall performance in today’s business environment. To focus on core business processes, many manufacturing and retailing organizations are outsourcing logistic services to 3PL companies. Warehousing is one of the most outsourced services from logistic services. In this environment, warehouse operations play a key and critical role in achieving good performance through numerous upgrades. Warehouse performance measures are taken now as a technique of measuring activity performance, programs, or services supplied by a warehouse. Although the Sri Lankan 3PL industry has poor logistic performance compared to the global 3PL industry, Sri Lanka has the geographic advantage required to develop into an important logistical hub in South Asia because it is located close to India and on the East-West trade route. Therefore, this research investigates the Warehouse performance measures through a literature review and validated those for the Sri Lankan third-party logistic warehouses through industry experts’ opinions. Identified warehouse performance measures were prioritized using the Analytical Hierarchy Process (AHP) as a weighting method to focus on major categories and major warehouse performance measures. Because numerous criteria and indicators must be considered for measuring warehouse performance, a Composite Warehouse Performance Index (CWPI) is built utilizing the Analytical Hierarchy Process (AHP) as a linear aggregation approach. The proposed model was tested with a customer who receives warehousing services from three third-party logistic organizations.
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