Multi-trip heterogeneous vehicle routing problem coordinated with production scheduling: Memetic algorithm and simulated annealing approaches

Yağmur, Ece; Kesen, Saadettin Erhan

doi:10.1016/j.cie.2021.107649

Cited by 35 publications

(6 citation statements)

References 34 publications

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“…e rapid development of the intelligence level of the community public sports makes the intelligence level higher and higher (Tubishat [16]), and the data volume and complexity show characteristics (Twahirwa and Wang [17,18]), which makes traditional analytical methods unable to meet the analytical requirements of relevant data institutions. e studies of Yagmur and Kesen [19] have resulted in a significant decline in the accuracy of forecast results. A method of analysis based on a simulation annealing algorithm is proposed in this document [20].…”

Section: Discussionmentioning

confidence: 99%

An Annealing Model Analysis and Research on the In of Community Public Sports on Economic Development

Zhen

2022

Computational Intelligence and Neuroscience

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The state vigorously develops the application of community sports and takes it as an important unit of social and economic development. With the development of the economy, residents’ living standards are getting better, which also greatly promotes the development of community public sports. Community public sports have made great progress in terms of scale, hardware, and services, and their impact on society is getting worse. Come bigger. However, there are still some deficiencies in the development of community sports. How to accurately evaluate and predict its facilities, construction, and service levels and put forward corresponding development strategies is an urgent problem to be solved in the field of community public sports. In this paper, an iterative simulated annealing algorithm is proposed to evaluate the level of public sports services and help community public sports institutions identify their own development deficiencies. Through the simulation analysis of the community sports organizations, community members, venue facilities and funds, venue facilities and funds, administrators, and the community sports activities, it is found that the identification accuracy of the evaluation results of the five indicators is above 95%, while the initial threshold of community public sports and social and economic development and the prediction accuracy required by the standard of development status are both 10%. At the same time, the recognition time of the evaluation results in the five indicators is less than 7 seconds. In community public sports development trend prediction and service level judgment, the identification time of the evaluation result is less than 4 seconds, and the overall judgment result is better.

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Section: Discussionmentioning

confidence: 99%

An Annealing Model Analysis and Research on the In of Community Public Sports on Economic Development

Zhen

2022

Computational Intelligence and Neuroscience

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“…17) numaralı kısıtta; bir değişken 0-1 tamsayılı karar değişkeni, diğer değişken ise sürekli karar değişkeni olduğu için, bu karar değişkenlerin çarpımından dolayı kısıt doğrusal olmayan bir hale dönüşmektedir. Ancak doğrusallaştırma şartları kapsamında aşağıda ifade edilen maddenin uygulanması ile doğrusallaştırılabilmektedir [22]. z = x × y ve x 0-1 tamsayı karar değişkeni, y sürekli karar değişkeni ise bu ifade (Eş.…”

Section: 𝒛 𝒙unclassified

Bütünleşik sipariş gruplama ve zaman pencereli araç rotalama problemi

Boz,

Aras

2024

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

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Online alışveriş, Covid-19 pandemi döneminde oldukça yaygınlaşmış ve sonrasında ise kalitesi arttırılarak kalıcı hale getirilmiştir. Online alışveriş süreci, özellikle müşterilerin, siparişlerinin ulaştırılması için zaman penceresi belirttiği hali ile, şirketler için etkin bir hale getirilene kadar yönetilmesi oldukça maliyetli ve zor bir süreçtir. Müşterilerin sipariş etmiş olduğu ürünler müşterilere zamanında ve doğru kalitede ulaştırılmadığı takdirde hem müşteri kaybı hem de maliyete neden olmaktadır. Bu yüzden, bu zorlu sürecin verimli bir şekilde yönetilmesi oldukça önemlidir ve doğru bir yönetim için depo içi ve depo dışı süreçlerin eş zamanlı olarak yürütülmesi gerekmektedir. Bu süreçler depo içinde sipariş toplama sürecinin bir alt dalı olan sipariş gruplama, depo dışında ise bir dağıtım problemi olan araç rotalama süreci olmaktadır. Bu iki süreç entegre olarak düşünülürse, bütünleşik Sipariş Gruplama ve Araç Rotalama Problemi oluşmaktadır. İlgili probleme zaman faktörü eklenmesi ile problem bütünleşik Sipariş Gruplama ve Zaman Pencereli Araç Rotalama Problemi (SG_ZP_ARP)’ ne dönüşmektedir. Bu çalışmada, SG_ZP_ARP için literatürdeki çalışmalar sınıflandırılarak incelenmiş ve yeni bir karma tamsayılı doğrusal olmayan programlama modeli geliştirilmiştir. Geliştirilen bu model, belirli koşullar altında doğrusallaştırılmış ve paket çözücü programlar ile yalnızca küçük boyutlu veri setinin bir kısmı çözülebildiğinden dolayı, problemin çözümü için bir metasezgisel arama algoritması olan Genetik Algoritma yaklaşımı önerilmiştir. İlgili alanda mevcut problem için test verileri olmadığından dolayı alt problemlerin test verileri araştırılmış ve bulunan literatürdeki test verileri ile problemleri problemin uygulaması yapılan bir firmanın bazı verileri entegre edilerek problem için test verileri literatüre eklenmiştir.

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“…The GSC multiobjective integrated scheduling problem for production and distribution is modeled as a mixed-integer non-learning programming formula, considering heterogeneous fleet and batch delivery (Ganji et al [16]). Yagmur et al [17] studied a new variant of the integrated production and distribution scheduling problem and emphasized that combining orders in a trip is necessary to reduce the total travel time required by the vehicle.…”

Section: Research On Logistics Vehicle Scheduling Problemmentioning

confidence: 99%

Optimization of Truck–Cargo Online Matching for the Less-Than-Truck-Load Logistics Hub under Real-Time Demand

Tang,

Chen,

Lang

et al. 2024

Mathematics

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Reasonable matching of capacity resources and transported cargoes is the key to realizing intelligent scheduling of less-than-truck-load (LTL) logistics. In practice, there are many types and numbers of participating objects involved in LTL logistics, such as customers, orders, trucks, unitized implements, etc. This results in a complex and large number of matching schemes where truck assignments interact with customer order service sequencing. For the truck–cargo online matching problem under real-time demand, it is necessary to comprehensively consider the online matching process of multi-node orders and the scheduling of multi-types of trucks. Combined with the actual operation scenario, a mixed-integer nonlinear programming model is introduced, and an online matching algorithm with a double-layer nested time window is designed to solve it. By solving the model in a small numerical case using Gurobi and the online matching algorithm, the validity of the model and the effectiveness of the algorithm are verified. The results indicate that the online matching algorithm can obtain optimization results with a lower gap while outperforming in terms of computation time. Relying on the realistic large-scale case for empirical analysis, the optimization results in a significant reduction in the number of trips for smaller types of trucks, and the average truck loading efficiency has reached close to 95%. The experimental results demonstrate the general applicability and effectiveness of the algorithm. Thus, it helps to realize the on-demand allocation of capacity resources and the timely response of transportation scheduling of LTL logistics hubs.

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Multi-trip heterogeneous vehicle routing problem coordinated with production scheduling: Memetic algorithm and simulated annealing approaches

Cited by 35 publications

References 34 publications

An Annealing Model Analysis and Research on the In of Community Public Sports on Economic Development

An Annealing Model Analysis and Research on the In of Community Public Sports on Economic Development

Bütünleşik sipariş gruplama ve zaman pencereli araç rotalama problemi

Optimization of Truck–Cargo Online Matching for the Less-Than-Truck-Load Logistics Hub under Real-Time Demand

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