Browsing by Author "Chase, Nazlican"

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    A mixed method for determination of cut-off dates in liner shipping
    (ROUTLEDGE JOURNALS TAYLOR & FRANCIS LTD, 2024) Aylin Caliskan; Yesim Deniz Ozkan-Ozen; Nazlican Chase; Caliskan, Aylin; Ozkan-Ozen, Yesim Deniz; Chase, Nazlican
    Operating with fixed schedules requires coordinating and cooperating with many actors in liner shipping. Therefore liner operators announce predetermined cut-off dates for each voyage for Sippers to perform cargo-related transactions and send their documents. The shippers complain that the cut-off times are primarily for the operator's benefit and create a very tight time. However the operators have trouble that the shippers cannot fulfill the necessary instructions and documents on time. From this point of view this study aims to offer optimized cut-off determination for liner services and employs a mixed-method approach to evaluate the cut-off process of liner operators. Firstly a qualitative study was conducted to obtain factors affecting cut-off date determination. Second the factors affecting cut-off dates were analyzed with the fuzzy Total Interpretive Structural Modelling (TISM) method. Third a step-by-step shipping process from booking to the vessel's departure was developed. Moreover the simulation method was applied with actual data to offer alternative schedules for a liner operator for its two liner services. The results show that even using only the two strongest driving factors determined in the TISM process (TEU capacity of the vessel and number of port calls) improves the cut-off determination simulation performance results by 20%.
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    Conference Object
    Cut-Off Optimization in Liner Shipping: A Case Study
    (Springer Science and Business Media Deutschland GmbH, 2023) Ayca Bingul; Nazlican Gozacan; Aylin Çalışkan; Caliskan, Aylin; Bingul, Ayca; Chase, Nazlican; N.M. Durakbasa , M.G. Gençyılmaz
    This study aims to optimize the cut-off dates in liner shipping to speed up the shipping process and allow customers to send their goods on time. This study contributes to the literature by assisting in determining the cut-off optimization in the liner shipping problem. Many explanatory variables have a positive effect resulting in the uncertainty of cut-off optimization in shipping. However there are apparent differences in cut-off dates across the shipping regions studied worldwide. The Arena Simulation Software was used to conduct this research. A flowchart was generated in line with the information provided by a liner operator to minimize all process times including the waiting time of the ship in port to estimate the best cut-off date for all processes. Then OptQuest an extension of the Arena software was used to optimize the simulation scenarios. © 2024 Elsevier B.V. All rights reserved.