{"title":"Express shipments with autonomous robots and public transportation","authors":"Umut Ermağan , Barış Yıldız , F. Sibel Salman","doi":"10.1016/j.tre.2024.103782","DOIUrl":"10.1016/j.tre.2024.103782","url":null,"abstract":"<div><div>Growing urbanization, exploding e-commerce, heightened customer expectations, and the need to reduce the environmental impact of transportation ask for innovative last-mile delivery solutions. This paper explores a new express shipment model that combines public transportation with Autonomous Robots (ARs) and studies its real-time management. Under dynamic demand arrivals with short delivery time promises, we propose a rolling horizon framework and devise a machine learning-enhanced Column Generation (CG) methodology to solve the real-time AR dispatching problem. The results of our numerical experiments with real-world delivery demand data show the significant potential of the proposed system to reduce travel time, vehicle traffic, emissions, and noise. Our results also reveal the efficacy of the learning-based CG methodology, which provides almost the same quality solutions as the classical CG approach with much less computational effort.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A time-driven simulation–optimization framework for the dynamic heterogeneous order-courier assignment problem for instant deliveries","authors":"Diana Jorge, Tomás Rocha, Tânia Rodrigues Pereira Ramos","doi":"10.1016/j.tre.2024.103783","DOIUrl":"10.1016/j.tre.2024.103783","url":null,"abstract":"<div><div>In recent years, instant delivery services have become very popular for transporting meals to urban areas, with an extensive range of products now available to order. The platforms that offer these services rely on crowdsourced couriers who utilize their personal vehicles, resulting in heterogeneous fleets. Furthermore, the competition among companies to retain both customers and couriers is very intense, which underscores the importance of developing superior decision support systems. These systems must generate real-time assignments that meet the expectations of service providers, customers, and couriers. In this study, we designed a time-driven simulation–optimization framework that addresses the dynamic heterogeneous order-courier assignment problem and incorporates order-vehicle restrictions. The framework efficiently manages real-time order arrivals, courier movements, and positional updates while considering dynamic factors such as traffic congestion and regional speed limits for various vehicle types. Extensive testing using literature instances demonstrated the framework’s ability to satisfactorily address the defined problem. Additionally, the time-driven simulation–optimization framework was applied to a realistic case study, resulting in an approximately 4.5% reduction in the total delivery times (from the submission of the order until the delivery to the client) for all orders when compared to the original assignment.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lindsay K. Graff , Katherine A. Flanigan , Sean Qian
{"title":"Constructing a routable multimodal, multi-cost, time-dependent network model with all emerging mobility options: Methodology and case studies","authors":"Lindsay K. Graff , Katherine A. Flanigan , Sean Qian","doi":"10.1016/j.tre.2024.103757","DOIUrl":"10.1016/j.tre.2024.103757","url":null,"abstract":"<div><div>Cities aiming to improve their transportation networks are integrating emerging mobility options at a rapid pace. These modes provide commuters with greater flexibility to construct more convenient trips and reach a larger set of essential service destinations. A few open-source tools allow planners to conduct multimodal routing analysis in time-dependent networks, but they do not sufficiently capture the full set of travel mode combinations and disutility factors perceived by individual travelers. To this end, we introduce NOMAD: Network Optimization for Multimodal Accessibility Decision-making. NOMAD integrates the personal vehicle, transportation network company, carshare, public transit, personal bike, bikeshare, scooter, walking, and feeder micro-transit modes into a unified routable network model. A generalized travel cost function incorporates the following disutility factors: monetary cost, day-to-day mean travel time, (un)reliability as represented by day-to-day 95th percentile travel time, crash risk, and physical discomfort. The proposed open-source tool can be used to create multimodal travel cost matrices, which may immediately serve as an input for accessibility analysis and other policy decisions related to emerging mobility options. This paper develops the network model that forms the basis of NOMAD and demonstrates four use cases in Pittsburgh, PA.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Blockchain technology adoption in a supply chain: Channel leaderships and environmental implications","authors":"Guowei Dou , Kun Wei , Tingting Sun , Lijun Ma","doi":"10.1016/j.tre.2024.103788","DOIUrl":"10.1016/j.tre.2024.103788","url":null,"abstract":"<div><div>Blockchain technology (BT) is widely implemented in businesses, yet its adoption within distinct channel leaderships in a supply chain has not been well studied. Following real-world practices, we build analytical models to study two strategies in which the manufacturer leads BT adoption (MLB) and the retailer leads BT adoption (RLB). Our results show that BT adoption does not necessarily create extra supply chain profits. Higher profits can be obtained when consumers show a strong preference for traceability or when the leader shares sufficient costs otherwise. Raising leaders’ cost-sharing proportions does not necessarily benefit followers, and the cost burden may motivate leaders to reduce the traceability level, thereby decreasing overall benefits. Interestingly, cost-sharing is not a “zero-sum” game for supply chain members, and sharing more costs as followers may help create mutual benefits. A comparison of the strategies of MLB and RLB reveals that the product price, traceability level, and carbon emissions in MLB can either be higher or lower than those in RLB. From an environmental perspective, we show that the carbon tax has a nonmonotonic effect on product retail prices. For the supply chain, it is possible to increase profits but simultaneously reduce emissions in each strategy, and a superior strategy that improves both economic and environmental performance exists. By modelling the regulator’s participation in BT adoption, we further show that emission taxes and BT subsidies are not concomitant, and surprisingly, we find that the emission tax may either increase or decrease with product emission intensity. Moreover, our extension shows that regular operational costs for BT may impact the economic performance of BT adoption but other key findings remain robust.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142312121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Supply chain planning with free trade zone and uncertain demand","authors":"Haoying Sun , Manoj Vanajakumari , Chelliah Sriskandarajah , Subodha Kumar","doi":"10.1016/j.tre.2024.103771","DOIUrl":"10.1016/j.tre.2024.103771","url":null,"abstract":"<div><div>Our research is inspired by the subcontracting problem at a major oil field services company in North America. The company’s supply chain consists of suppliers bringing raw materials to a Free Trade Zone (FTZ). The FTZ receives raw materials in full containers from various suppliers, and then the company ships them to various plants (e.g. oil excavation sites) frequently via subcontractors. This allows the company to focus on managing only the inbound transportation and inventory at the FTZ. The demand for each raw material is stochastic. We derive an algorithm running at polynomial time for the stochastic programming formulation and perform <span><math><mrow><mi>μ</mi><mo>−</mo></mrow></math></span> regret Robust Optimization to handle the demand uncertainty. We also use a Sample Average Approximation method to alleviate the high computational requirement of the robust optimization model. The modeling approach demonstrated by this paper not only meets the needs of this specific company and industry but also can be applied to other industries with similar supply chain structures.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yu Han , Xiaolei Ma , Bin Yu , Qianwen Li , Ronghui Zhang , Xiaopeng Li
{"title":"Planning two-dimensional trajectories for modular bus enroute docking","authors":"Yu Han , Xiaolei Ma , Bin Yu , Qianwen Li , Ronghui Zhang , Xiaopeng Li","doi":"10.1016/j.tre.2024.103769","DOIUrl":"10.1016/j.tre.2024.103769","url":null,"abstract":"<div><p>Modular buses (MBs), which can physically dock and separate, offer enhanced flexibility and potential cost savings in urban transportation. Despite advances in scheduling, trajectory planning for the docking process of MBs is less developed. This paper addresses the two-dimensional trajectory planning for MB docking. We introduce a hierarchical docking planning model based on Nonlinear Model Predictive Control (NMPC). The upper-level model optimizes docking time and speed, while the lower-level dynamically updates trajectories. Our models integrate Frenet and Cartesian coordinates with a precise obstacle avoidance model to ensure safety and smoothness under diverse traffic conditions. We employ segmented Lagrange interpolation for discretizing the continuous NMPC model, enhancing planning accuracy with fewer points and improving solving efficiency. Additionally, a multi-task network adaptively adjusts discretization orders based on environmental data. Extensive testing demonstrates our method’s superior accuracy and efficiency in real-time performance, offering marked improvements in safety and operational smoothness compared to existing approaches.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Huanhuan Li , Wenbin Xing , Hang Jiao , Kum Fai Yuen , Ruobin Gao , Yan Li , Christian Matthews , Zaili Yang
{"title":"Bi-directional information fusion-driven deep network for ship trajectory prediction in intelligent transportation systems","authors":"Huanhuan Li , Wenbin Xing , Hang Jiao , Kum Fai Yuen , Ruobin Gao , Yan Li , Christian Matthews , Zaili Yang","doi":"10.1016/j.tre.2024.103770","DOIUrl":"10.1016/j.tre.2024.103770","url":null,"abstract":"<div><p>Accurate ship trajectory prediction (STP) is crucial to realise the early warning of ship collision and ensure maritime safety. Driven by advancements in artificial intelligence technology, deep learning-based STP has become a predominant approach in the research field of ship collision avoidance. This paper, based on a state-of-the-art survey of the existing STP research progress, aims to develop a new bi-directional information fusion-driven prediction model that enables the achievement of more accurate STP results by addressing the drawbacks of the classical methods in the field. In this context, a cascading network model is developed by combining two bi-directional networks in a specific order. It incorporates the Bi-directional Long Short-Term Memory (BiLSTM) and the Bi-directional Gated Recurrent Unit (BiGRU) neural network into a single three-layer, information-enhanced network. It takes advantage of both networks to realise more accurate prediction of ship trajectories. Furthermore, the performance of the proposed model is comprehensively evaluated using Automatic Identification System (AIS) data from three water areas representing traffic scenarios of different safety concerns. The superiority of the proposed model is verified through comparative analysis with twenty other methods, including the state-of-the-art STP in the literature. The finding reveals that the new model is better than all the benchmarked ones, and thus, the new STP solution in this paper makes new contributions to improving autonomous navigation and maritime safety.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1366554524003612/pdfft?md5=7123f266937889ccc68a9c35a8910502&pid=1-s2.0-S1366554524003612-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Outsourcing vs. authorization remanufacturing and differential vs. uniform pricing: A supply chain perspective","authors":"Junfei Ding , Xujin Pu , Wen Zhang","doi":"10.1016/j.tre.2024.103777","DOIUrl":"10.1016/j.tre.2024.103777","url":null,"abstract":"<div><p>We study a three-tier closed-loop supply chain in which a supplier sells un-remanufacturable key components to an original equipment manufacturer (OEM) and a third-party remanufacturer (TPR). The supplier has two options to price the key components: the uniform pricing policy and the differential pricing policy. Additionally, the OEM has the choice to either outsource or authorize the remanufacturing business to the TPR. Using a game-theoretic framework, we analyze the equilibria of multiple games that the two pricing policies and the two remanufacturing modes are available. Among other findings, we show that compared with the authorization remanufacturing mode, the outsourcing remanufacturing mode is a win–win solution for the supplier, the OEM, the consumers, and the society, but it may be detrimental to the TPR. Compared with the uniform pricing policy, the differential pricing policy may lead to win–win situation for the supplier, the TPR, and the consumers, but it hurts the OEM and the society. We also show that price discrimination can motivate remanufacturing and improve environmental benefits under certain conditions. The analysis of social welfare and environmental impacts provides timely managerial insights for governments considering relaxing anti-price discrimination laws. To check the robustness of our results, we extend our models to incorporate the production cost of key components, the remanufacturing cost, and a two-period framework. The results indicate that all core insights remain valid and the un-remanufacturability of key components hinders remanufacturing.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Energy harvesting for automated storage and retrieval system with sustainable configuration of storage assignment and input/output point","authors":"Zakka Ugih Rizqi , Shuo-Yan Chou , Adinda Khairunisa","doi":"10.1016/j.tre.2024.103781","DOIUrl":"10.1016/j.tre.2024.103781","url":null,"abstract":"<div><p>The warehouse automation market has experienced significant growth due to the necessity for quick responses to customer needs. The adoption of Automated Storage and Retrieval System (AS/RS) aims to enhance operational efficiency and expedite order fulfillment, although environmental considerations are frequently overlooked. This study introduces the implementation of energy harvesting using Regenerative Braking System (RBS) on AS/RS to minimize the carbon emission impact. The best configuration of storage assignments and Input/Output (I/O) points is examined to improve travel time, response time, and carbon emission as sustainability indicators. This study employs a discrete-event simulation mimicking the AS/RS and warehouse environment under uncertainty. Simulation-based experiment was performed under 96 different scenarios and the result was assessed through statistical tests revealing the main and interaction effects between factors to performance indicators, including the trade-off between them. The result reveals that the implementation of RBS in AS/RS can result in 13% energy saving on average or equal to additional travel range of 28,800 m indicating the suitability adoption towards green operation. However, the lowest carbon emission is followed by higher travel time and response time. Thus, metamodel-based optimization was also performed via desirability function analysis. The optimization result reveals that the sustainable AS/RS configuration is obtained with a single-side for I/O point, non-class for storage classification, closest open location with column-order for slot selection, and closest open location with row-order for retrieval selection.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Shipment policy and its impact on coordination of a fashion supply chain under production uncertainty","authors":"Safiul Alom , Sumanta Basu , Preetam Basu , Raunak Joshi","doi":"10.1016/j.tre.2024.103778","DOIUrl":"10.1016/j.tre.2024.103778","url":null,"abstract":"<div><p>The fashion industry grapples with volatile demand, characterized by two short-selling sessions, creating an avenue for a fashion firm to receive items through single or dual shipment strategies. Single shipment brings economies of scale and reduces stockout risks. Conversely, dual shipment avoids excessive inventory buildup. To exacerbate the problem, a fashion supply chain faces uncertainties in production marked by launching-failure and order fulfillment risks and has to contend with product obsolescence. Additionally, these factors have distinct impacts on the supply chain members, which can cause inefficiencies across the entire chain. Our study aims to propose an appropriate contract for fashion chain members by considering the impact of shipment policies (single vs. dual). By comparing the benchmark cases, we first address the policy-level dilemma of a vertically integrated fashion firm. We offer a decision matrix for the optimal shipment policy. This matrix weighs production uncertainty, product obsolescence, and associated holding costs. Using the findings of the benchmark case, we investigate the effectiveness of traditional wholesale price and quantity discount contracts. We find these contracts fail to address issues pertaining to flexibility and equitable risk-sharing mechanisms. Finally, we propose a novel risk-sharing quantity discount contract to address these shortcomings. We extend our models by understanding the impact of different levels of launching-failure and order fulfillment risks on ordering decisions and analyze the impact of discounting structures and nonlinear design costs.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1366554524003697/pdfft?md5=afcba35a8c6b989062b4563942b81f5c&pid=1-s2.0-S1366554524003697-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}