PERT Simülasyon Yöntemiyle Denizyolu Lojistiği İhracat Süreç Analizi

Bayar, Sibel; Akan, Ercan

doi:10.33206/mjss.819453

Cited by 1 publication

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References 28 publications

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“…Bruzzone et al (2012) used a simulation model of a real container terminal's process, together with genetic algorithms, to perform a range allocation optimization on the assignment of berths to incoming ships and the number of tractors to serve each dock crane. Bayar and Akan (2020) used Monte Carlo Simulation methods to analyze the business process of ocean freight pricing while Bayar and Akan (2021) used fuzzy program evaluation and review technique (PERT) to analyze the business process of export-import inland haulage in maritime logistics. Borch and Batalden (2015) showed that organizations may need to introduce entrepreneurial BPMJ 29,4 business models with strong links to external actors to tackle the logistics challenges of turbulent environments.…”

Section: Literature Reviewmentioning

confidence: 99%

A holistic analysis of maritime logistics process in fuzzy environment in terms of business process management

Akan

2023

BPMJ

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PurposeThe aim of this study is to provide a holistic analysis of all possible maritime business logistics processes related to import and export shipments in a fuzzy environment through a case study of a maritime logistics company based on the as-is and to-be models within business process management (BPM).Design/methodology/approachThe analyses considered the following perspectives: (i) in the stage of the process identification, the definition of the problem was carried out; (ii) in the stage of the process discovery, ocean department was divided into ocean export/import operation departments; ocean export/import operation were divided into freight collect/prepaid operation processes; ocean export/import logistics activity groups were broken down into sub-activities for freight collect/prepaid operation; the logistics activity groups and their sub-activities were defined; each sub-activity as either operation or documentation process group was classified; the durations of sub-activities were evaluated by decision-makers (DMs) as fuzzy sets (FSs); the monthly total jobs activities were estimated by DMs as FSs; the applied to monthly jobs activities of total shipments were estimated by DMs as FSs; the durations of each sub-activities were aggregated; the duration of the logistics activity groups and the sub-activities for per job were calculated; the cumulative workload of logistics activity groups and sub-activities were calculated; the duration of sub-activities for per job as operation or documentation departments were calculated, (iii) in the stage of the process analysis, cumulative ocean export/import workload as operation or documentation for freight collect/prepaid were calculated; duration of activity groups and sub-activities for per job as operation or documentation were calculated; cumulative workload activity groups and sub-activities as operation or documentation were calculated, (iv) in the stage of the process redesign, cumulative workload, process cycle time as operation and documentation group and required labor force were calculated; the process cycle time of the theoretical, the as-is model and the to-be model were calculated: (i) the theoretical minimum process cycle time without resource were calculated by the critical path method (CPM), (ii) the process cycle time of the as-is model perspective with the 1 person resource constraint and (iii) the process cycle time of the to-be model perspective with the 2-person resource constraint were calculated by the resource constrained project scheduling problem (RCPSP) method.FindingsThe methodology for analyzing the ocean department operation process was successfully implemented in a real-life case study. It is observed that the results of the to-be model can be applicable for the company. The BPM-proposed methodology is applicable for the maritime logistics industry in the present study; however, it can be applied to other companies in maritime logistics as well as other industries.Originality/valueThis study contributes to research using BPM methodology in maritime logistics. This is the first study the logistics process analyses were carried out in terms of including all operation processes for a company. All processes were analyzed by using BPM methodology in maritime logistics. This study demonstrated the application of the BPM as-is and to-be models to maritime logistics. The as-is and the to-be models of the BPM methodology were applied in maritime logistics.Research implicationsThis methodology applied in this study can enable organizations operating in the time-urgent maritime logistics sector to manage their logistics processes more efficiently, increase customer satisfaction, reduce the risks of customer loss due to poor operational performance and increase profits in the long term. Through the use of these methodologies utilizing FSs, the CPM and the RCPSP methods, this study is expected to make contributions to the BPM literature and provide original insights into the field. Furthermore, this study will undertake a comprehensive analysis of maritime logistics with respect to BPM to deliver noteworthy contributions to the maritime logistics literature and provide original perspectives into the field.

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Section: Literature Reviewmentioning

confidence: 99%

A holistic analysis of maritime logistics process in fuzzy environment in terms of business process management

Akan

2023

BPMJ

View full text Add to dashboard Cite

show abstract

PERT Simülasyon Yöntemiyle Denizyolu Lojistiği İhracat Süreç Analizi

Cited by 1 publication

References 28 publications

A holistic analysis of maritime logistics process in fuzzy environment in terms of business process management

A holistic analysis of maritime logistics process in fuzzy environment in terms of business process management

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