کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1133989 1489096 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Berth and quay-crane allocation problem considering fuel consumption and emissions from vessels
ترجمه فارسی عنوان
مسئله تخصیص بار و جرثقیل با توجه به مصرف سوخت و انتشار آن از کشتی ها
کلمات کلیدی
مشکل تخصیص جرثقیل سوار و اسکله، مصرف سوخت، انتشار، برنامه نویسی مخروط درجه دوم بهینه سازی غیرخطی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی


• Vessels’ fuel consumption and emissions are considered by optimizing sailing speed.
• Effects of quay cranes on operating cost and fuel consumption are considered.
• Vessels’ emissions when moored are quantified and formulated.
• Cooperative strategies between ports and shipping companies are discussed.

Resolving the berth and quay-crane allocation problem improves the efficiency of seaside operations by optimally allocating berthing spaces and quay cranes to vessels, typically by considering a vessel’s sailing speed and arrival time at a port as constant parameters, while ignoring the impact of arrival times on fuel consumption and emissions when sailing. This work applied a novel nonlinear multi-objective mixed-integer programming model that considered a vessel’s fuel consumption and emissions, and then transformed this model into a second-order mixed-integer cone programming model to solve the problem’s computational intractability. Furthermore, the impact of number of allocated quay cranes on port operational cost, and a vessel’s fuel consumption and emissions was analyzed. Additionally, a vessel’s emissions while moored are also calculated based on wait time. Experimental results demonstrate that the new berth and quay-crane allocation strategy with a vessel’s arrival time as a decision variable can significantly improve vessels’ fuel consumption and emissions, the air quality around ports and utilization of berths and quay cranes without reducing service quality.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 70, April 2014, Pages 1–10
نویسندگان
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