Evaluating the basic load consolidation strategies for a transportation company through logistics process modelling and simulation
Adil Baykasoglu and
Vahit Kaplanoglu
International Journal of Data Analysis Techniques and Strategies, 2011, vol. 3, issue 3, 241-260
Abstract:
Land transportation managers face some difficulties especially for operating decisions which are about load/capacity/route planning. Load consolidation is a widely used practice in transportation. Load consolidation is grouping of several small shipments into one container while satisfying logistics system constraints. In this paper, two simple load consolidation approaches, which are known as 'quantity-based consolidation' and 'time and quantity-based consolidation' are evaluated. These approaches are 'non-recurrent', in which the logistics system has a 'target time' or 'target weight' before the accumulation of the orders. Some performance measures for these methods are investigated through a case study. The study is performed in a 3P-logistics company operating from Gaziantep. Due to the complexity of the logistics processes, effects of the load consolidation methods are evaluated via process modelling and simulation. The performance results of load consolidation methods are compared in order to support decisions made by the management of company.
Keywords: load consolidation; land transport; logistics; business process modelling; simulation; Turkey; transportation management; load planning; route planning; capacity planning. (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=41333 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:injdan:v:3:y:2011:i:3:p:241-260
Access Statistics for this article
More articles in International Journal of Data Analysis Techniques and Strategies from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().