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EN
The article deals with the problem of the appropriate transport mode choice in establishing efficient export overseas container groupage lines. The focus is on understanding the present transport network setup in the region of the Eastern Adriatic, which should enable cost- and time-efficient operation of LCL (Less than Container Load) services. The survey among LCL operators, NVOCC (Non-Vessel Operating Common Carriers) operators and forwarding companies provides a comprehensive overview of the possibility of introducing new LCL lines through the ports of the Eastern Adriatic coast. The study exposes the barriers LCL operators face in maintaining efficient overseas LCL export services, especially in the initial stage when starting with new lines. Initial low volume of small consignments should be transported by LTL (Less than Truck Load) in precarriage transport; thus, the research analyses actual modal split choices and eventual limitations from price and time perspectives. The study brings novelty in the understanding of the actual organisation of transport chains regionally and the bases for transport community decisions for future efficient establishment of new LCL lines.
EN
We consider a logistic planning problem for simultaneous optimization of the storage and the delivery. This problem arises in the consolidate shipment using an intermediate storage in a supply chain, which is typically found in the automobile industry. The vehicles deliver the items from the origin to the destination, while the items can be stored at some warehousing facilities as the intermediate storage during the delivery. The delivery plan is made for each day separately, but the storage at a warehouse may last for more than one day. Therefore, the entire logistic plan should be considered over a certain period for the total optimization. We formulate the storage and delivery problem as a mixed integer programming. Then, we propose a relax-and-fix type heuristic method, which incrementally fixes decision variables until all the variables are fixed to obtain a complete solution. Moreover, a semiapproximate model is introduced to effectively fix the variables. Based on the formulation, the delivery plan can be solved for each day separately. This has the advantage especially in the dynamic situation, where the delivery request is modified from the original request before the actual delivery day. Numerical experiments show that the simultaneous optimization gives the effective storage plan to reduce the total logistic cost, and the proposed heuristics efficiently reduce the computational time and are robust against the dynamic situation.
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