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標題: Titlebook: Computational Logistics; 14th International C Joachim R. Daduna,Gernot Liedtke,Stefan Vo? Conference proceedings 2023 The Editor(s) (if app [打印本頁]

作者: 退縮    時間: 2025-3-21 16:41
書目名稱Computational Logistics影響因子(影響力)




書目名稱Computational Logistics影響因子(影響力)學科排名




書目名稱Computational Logistics網(wǎng)絡公開度




書目名稱Computational Logistics網(wǎng)絡公開度學科排名




書目名稱Computational Logistics被引頻次




書目名稱Computational Logistics被引頻次學科排名




書目名稱Computational Logistics年度引用




書目名稱Computational Logistics年度引用學科排名




書目名稱Computational Logistics讀者反饋




書目名稱Computational Logistics讀者反饋學科排名





作者: engrave    時間: 2025-3-21 20:42

作者: ACE-inhibitor    時間: 2025-3-22 02:43
https://doi.org/10.1007/978-3-031-43612-3computational logistics; maritime shipping; container terminal; vehicle routing; combinatorial optimizat
作者: CYT    時間: 2025-3-22 06:14

作者: Immunoglobulin    時間: 2025-3-22 11:36

作者: 形上升才刺激    時間: 2025-3-22 15:12
https://doi.org/10.1007/978-3-658-33729-2drivers). Thus, the efficiency of such operating model lies in the successful matching of demand and supply, i.e., how to match the delivery tasks with suitable drivers that will result in successful assignment and completion of the tasks. We consider a Same-Day Delivery Problem (SDDP) involving a P
作者: 形上升才刺激    時間: 2025-3-22 17:15
Vorbereitung der empirischen Erhebungollecting and delivering these items within a hospital can be modeled as a Pickup and Delivery Problem with Time Windows (PDPTW). This paper proposes a hybrid dynamic optimization to address the IHL problem based on a two-step heuristic. This algorithm combines reactive and periodic optimizations to
作者: 悅耳    時間: 2025-3-22 21:51

作者: Isometric    時間: 2025-3-23 02:38

作者: 愚笨    時間: 2025-3-23 06:24
Angelika Schmidt-Koddenberg,Annette Mülleryage. Due to a large variety of combinatorial aspects, a scalable algorithm to solve a representative problem is yet to be found. This paper will show that deep reinforcement learning can optimize a non-trivial master bay planning problem. Our experiments show that proximal policy optimization effic
作者: 奴才    時間: 2025-3-23 09:55

作者: 拍下盜公款    時間: 2025-3-23 16:14

作者: Atrium    時間: 2025-3-23 20:21

作者: sebaceous-gland    時間: 2025-3-24 01:40

作者: 使成整體    時間: 2025-3-24 04:10
Beginn des Studiums im Winter-Semester,ling of the vessels in the given fleet, decisions about how much to bunker (refuel) in which ports. Furthermore, the cargo quantities to be transported are given in an interval, which means that determining the optimal transport quantities also becomes a decision. We propose an arc flow model and a
作者: 離開就切除    時間: 2025-3-24 08:31
https://doi.org/10.1007/978-3-662-32679-4 data from infrastructure and superstructure. Digital twins are seen as key enabler of Industry 4.0 applications and digital transformation in seaports. This paper presents case studies of digital twins in global seaports and investigates implementation layers and decision support. Based on a litera
作者: Nonthreatening    時間: 2025-3-24 13:54

作者: Critical    時間: 2025-3-24 16:50
Die Zukunft der Universit?tsausbildungver a day and which has been the considered problem in the .. The problem requires two types of decisions: Dispatching orders and planning the respective vehicle routes. The objective is to minimize the travel time while dispatching all orders over the day and adhering to the respective time windows
作者: 動機    時間: 2025-3-24 21:03

作者: 凝結劑    時間: 2025-3-25 02:57
Studientechnik für Betriebswirteogress has also led to a shorter life cycle for these devices due to rapid advancements in hardware and software technology. As a result, e-waste collection and recycling have become vital for protecting the environment and people’s health. From the operations research perspective, the e-waste colle
作者: 不愿    時間: 2025-3-25 06:24
Computational Logistics978-3-031-43612-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: Lignans    時間: 2025-3-25 09:51

作者: Modify    時間: 2025-3-25 13:06

作者: 金哥占卜者    時間: 2025-3-25 18:05

作者: misanthrope    時間: 2025-3-25 22:29

作者: CHAR    時間: 2025-3-26 04:08

作者: SENT    時間: 2025-3-26 07:18
Successfully Using ChatGPT in?Logistics: Are We There Yet?areful. That is, answers cannot always be granted as being correct. Beyond diving into related literature, we explore the use of ChatGPT regarding an as yet underexplored (even without consulting generative AI tools) logistics problem, that is, the stochastic vehicle routing problem with uncertainty in the number of available vehicles.
作者: 最低點    時間: 2025-3-26 11:40

作者: 使混合    時間: 2025-3-26 15:57

作者: LURE    時間: 2025-3-26 20:11
https://doi.org/10.1007/978-3-662-32679-4solutions with less than 1% optimality gaps within one hour for instances with a planning horizon of up to 180 days. This indicates that the model can efficiently be embedded within a rolling horizon heuristic to solve instances with longer planning horizons.
作者: Analogy    時間: 2025-3-27 00:13
Beginn des Studiums im Winter-Semester, from our case company. The computational results show that the path flow solution method outperforms the arc flow model solved by a commercial solver. We also present how chartering managers may use this as decision support in the negotiation of freight contracts and bunker prices.
作者: 尋找    時間: 2025-3-27 02:06

作者: 期滿    時間: 2025-3-27 07:02
Studientechnik für Betriebswirtetrates that the proposed algorithm can efficiently handle HVRP-MTW instances, even of large-scale. Moreover, the comparison with CPLEX indicates that our approach can achieve optimal solutions for small instances and outperform the commercial solver in large-scale instances.
作者: 商議    時間: 2025-3-27 09:51
Allocation of?Shore Side Electricity: The Case of?the?Port of?Hamburgased on historical port call data of one month for a container terminal group in the Port of Hamburg, Germany. The results show that the best found allocation plan in this study, enabling 2.54?GWh of SSE consumption, is slightly better than the allocation plan published by the Port of Hamburg.
作者: 手工藝品    時間: 2025-3-27 14:46
Planning LNG Annual Delivery Programs with?Speed Optimization and?Multiple Loading Portssolutions with less than 1% optimality gaps within one hour for instances with a planning horizon of up to 180 days. This indicates that the model can efficiently be embedded within a rolling horizon heuristic to solve instances with longer planning horizons.
作者: Little    時間: 2025-3-27 18:37
Tramp Ship Routing with?Bunker Optimization and?Flexible Cargo Quantities: Case from?Dry Bulk Shippi from our case company. The computational results show that the path flow solution method outperforms the arc flow model solved by a commercial solver. We also present how chartering managers may use this as decision support in the negotiation of freight contracts and bunker prices.
作者: 負擔    時間: 2025-3-27 23:43

作者: 加劇    時間: 2025-3-28 06:01

作者: Flawless    時間: 2025-3-28 08:27

作者: 惡意    時間: 2025-3-28 11:43
https://doi.org/10.1007/978-3-662-32679-4 twins in seaports. Moreover, we present results and insights from a major project building a digital twin for the EUROGATE container terminal in Hamburg, Germany. As such, the paper provides an overview on the maturity of digital twin applications in the port sector and discusses important aspects to be considered during implementation.
作者: Nebulizer    時間: 2025-3-28 18:25
The Dynamic RORO Stowage Planning Probleme heuristic can find stowage plans for the dynamic arrival of cargo. A sensitivity analysis is conducted to investigate algorithm sensitivity in relation to revenue, fuel costs, and cargo handling time. The results indicate a high sensitivity in the number of units of cargo stowed when these parameters fluctuate.
作者: 安慰    時間: 2025-3-28 22:28
Digital Twins in?Seaports: Current and?Future Applications twins in seaports. Moreover, we present results and insights from a major project building a digital twin for the EUROGATE container terminal in Hamburg, Germany. As such, the paper provides an overview on the maturity of digital twin applications in the port sector and discusses important aspects to be considered during implementation.
作者: 金桌活畫面    時間: 2025-3-29 02:52

作者: COST    時間: 2025-3-29 05:26
When Routing Meets Recommendation: Solving Dynamic Order Recommendations Problem in?Peer-to-Peer Logdrivers). Thus, the efficiency of such operating model lies in the successful matching of demand and supply, i.e., how to match the delivery tasks with suitable drivers that will result in successful assignment and completion of the tasks. We consider a Same-Day Delivery Problem (SDDP) involving a P
作者: Genetics    時間: 2025-3-29 09:33

作者: ACTIN    時間: 2025-3-29 14:02
Cybersecurity Considerations for the Design of an AI-Driven Distributed Optimization of Container Cadal freight transportation system involves the use of different modes of transportation, such as trucks, trains, and ships, to move freight containers. However, this system is loaded with inefficiencies due to the poor availability of real-time coordination and disruptions, causing delays, increased
作者: 大方一點    時間: 2025-3-29 18:59

作者: Phonophobia    時間: 2025-3-29 23:42
Towards a?Deep Reinforcement Learning Model of?Master Bay Stowage Planningyage. Due to a large variety of combinatorial aspects, a scalable algorithm to solve a representative problem is yet to be found. This paper will show that deep reinforcement learning can optimize a non-trivial master bay planning problem. Our experiments show that proximal policy optimization effic
作者: Carcinogenesis    時間: 2025-3-30 01:26
The Dynamic RORO Stowage Planning Problem ports through stowage planning will increase slow-steaming use. Stowage planning assigns cargo to positions on board the vessel. This paper studies how the dynamic arrival of cargo affects stowage planning by considering revenue from shipping cargo vs. fuel costs incurred from time spent waiting an
作者: 漸變    時間: 2025-3-30 05:28
Allocation of?Shore Side Electricity: The Case of?the?Port of?Hamburgironmental benefit is to be maximized. To this end, an optimization model is developed that yields the optimal SSE supply point allocation plan. The proposed model solves the berth allocation problem with port call data. The novelty of this model lies in the distinction of terminals, respecting the
作者: 同義聯(lián)想法    時間: 2025-3-30 12:10

作者: faultfinder    時間: 2025-3-30 13:05

作者: 凌辱    時間: 2025-3-30 18:23

作者: mercenary    時間: 2025-3-30 22:06

作者: Vaginismus    時間: 2025-3-31 04:13
A Neural Network Approach for ETA Prediction in Inland Waterway Transportay. Waterway transportation plays a vital role in freight transportation and has a significant ecological impact. Improving the accuracy of ETA predictions can enhance the reliability of inland waterway shipping, increasing the acceptance of this eco-friendly mode of transportation. This study compa
作者: CURL    時間: 2025-3-31 06:02

作者: 補充    時間: 2025-3-31 12:28
A Tabu Search Algorithm for the Traveling Purchaser Problem with Transportation Time Limitics. The problem is called the traveling purchaser problem with transportation time limit (TPP-TTL). The objective of the TPP-TTL is to find a route and procurement plan for the purchaser to satisfy the demand of a number of product types with minimum cost. To satisfy the product demand, the purchas
作者: 愛社交    時間: 2025-3-31 17:24
GRASP Solution Approach for?the?E-Waste Collection Problemogress has also led to a shorter life cycle for these devices due to rapid advancements in hardware and software technology. As a result, e-waste collection and recycling have become vital for protecting the environment and people’s health. From the operations research perspective, the e-waste colle
作者: 人造    時間: 2025-3-31 18:43





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