Collaborative Logistics Research Articles

Study protocol paper for the multi-site feasibility evaluation of mobile and technology-assisted aftercare services for crisis stabilization units

BackgroundLaw enforcement frequently responds to substance abuse and mental health crises. Crisis stabilization units (CSUs) operate as a public-receiving facility to provide short-term stabilization services for individuals experiencing these crises and offer law enforcement an important alternative to arrest. However, there is limited understanding about how and when law enforcement decides to use CSUs. There is also the challenge of retaining individuals in treatment after CSU stabilization to prevent future crises and persistent engagement with police. This study will respond to these gaps by exploring CSU procedures and examining the feasibility and acceptability of a technology-assisted mobile aftercare intervention designed for individuals brought to a CSU by law enforcement.MethodsThis study will consist of three aims. Aim 1 will include qualitative interviews with law enforcement and CSU-affiliated mental health staff (n=80) regarding CSU utilization and collaboration logistics between the groups. Findings from Aim 1 will be synthesized for the development of an implementation guide of our intervention, mobile, and technology-assisted aftercare, designed for individuals brought to a CSU by law enforcement, during Aim 2. During Aim 2, intervention services will be pilot-tested for 6 months through a small sample (n=24), randomized control trial (RCT). Control participants will receive standard services available for individuals discharging from a CSU. Treatment participants will receive the mobile aftercare intervention. Qualitative and quantitative data will be collected at 2 weeks, 3 months, and 6 months post-recruitment for all study participants. Aims 1 and 2 will inform the design of a multi-site RCT to compare CSUs with and without mobile and technology-assisted aftercare (Aim 3).DiscussionThe study will offer decision making and procedural insight into law enforcement use of CSUs as an alternative to jail and provide opportunities to inform that process. This research will provide outcome trends for those who go through standard CSU services compared to those who receive mobile and technology-assisted aftercare services. The current study will inform a larger RCT efficacy study of CSUs with and without technology-assisted aftercare services.Trial registrationThis study was registered on ClinicalTrials.gov (reference #NCT04899934) on May 25, 2021.

Properties of bundle valuations in carrier collaboration

Combinatorial auctions are an important part of many frameworks for carrier collaboration in logistics. In the last years, many innovative auction mechanisms have been developed in the economic literature that could potentially be applied in this context and that could significantly simplify the process of determining efficient allocations of requests. These mechanisms rely on certain assumptions about the valuations of bidders. In this paper, we perform computational experiments to analyze to which extent these requirements are fulfilled for valuations derived from a simple logistics problem, the Traveling Salesman Problem. We find that bidders’ valuations typically violate even very elementary requirements, but that these violations affect only a limited number of request bundles. We further analyze whether these violations exhibit a consistent pattern across multiple carriers and check consistency if route lengths are calculated exactly or approximated.

Retracted: Cross-Border E-Commerce Logistics Collaboration Model Based on Supply Chain Theory

Retracted: Cross-Border E-Commerce Logistics Collaboration Model Based on Supply Chain Theory

Logistic collaboration and improvement of the quality of care: Case of "Hôpital du Mali" (the Hospital of Mali)

Logistic collaboration and improvement of the quality of care: Case of "Hôpital du Mali" (the Hospital of Mali)

Horizontal logistics collaboration success factors: expectations versus reality

PurposeThis study aims to compare the expectations of non-collaborating professionals and the actual opinions of collaborating professionals regarding success factors of horizontal logistics collaboration (HLC) and investigates the reasons behind the observed differences.Design/methodology/approachThis study employs a mixed-method approach. First, a survey is conducted to collect data from two samples representing collaborating and non-collaborating industry professionals. Second, confirmatory factor analysis (CFA) is used to compare the measurement models from the two samples and identify their similarities and differences. Third, a Delphi study is conducted to identify factors limiting collaborative behavior.FindingsThe results show that collaborating professionals exhibit lower levels of joint relationship efforts and trust than expected. This is primarily due to inadequate information sharing, poor collaboration formalization and the absence of a clear costs and benefits allocation mechanism.Practical implicationsThe findings indicate that, in HLC, managers should give high importance to facilitating timely and complete information exchange, putting in place an acceptable costs/benefits allocation mechanism, formalizing the collaboration and prioritizing integrity over competency when selecting partners.Originality/valueTo the best of the authors’ knowledge, this is the first study that shows the existence of differences between industry professionals' pre-collaboration expectations and the actual experiences in HLC. This is also the first study that points to the exact HLC enablers that fail in practice and the barriers responsible for it.

An optimization model for collaborative logistics among carriers in vehicle routing problems with cross-docking

PurposeCollaborative Logistics (CL) and merging operations are crucial strategies for reducing costs and improving service in transportation companies. This study proposes a model for optimizing efficiency in supply chain networks through inbound and outbound Collaborative Logistics implementation among the carriers in centralized, coordinated networks with cross-docking.Design/methodology/approachA mixed-integer non-linear programming model is developed to determine the optimal truck-goods assignment while gaining economies of scale through mixing multiple less-than-truckload (LTL) products with different weight-to-volume ratios. Unlike the previous studies that have considered Collaborative Logistics from the cost and profit-sharing perspective, the proposed model seeks to determine an appropriate form of Collaborative Logistics in the VRP.FindingsThis article shows that in a three-echelon supply chain consisting of a set of suppliers, a set of customers and a cross-docking terminal, partial collaboration among the inbound carriers and outbound carriers outperforms no/complete collaboration. This approach enhances the supply chain efficiency by minimizing the total transportation costs, the total transportation miles and the total number of trucks and maximizing fleet utilization. While addressing the four points, the role of collaborative logistics among the carriers was discussed. In a three-echelon SC consisting of a set of suppliers, a set of customers and a cross-docking terminal, partial collaboration among the inbound carriers and outbound carriers outperforms no/complete collaboration. Using a combination of experimental analysis and optimization process, it was recommended that managers be cautious that too much (full or complete) or no collaboration can result in SC performance deterioration.Originality/valueThe suggested approach enhances the supply chain efficiency by minimizing the total transportation costs, the total transportation miles and the total number of trucks and maximizing fleet utilization. While addressing the four points, the role of Collaborative Logistics among the carriers was discussed.

5G and Logistics Data Collection: the 5G-LOGINNOV Approach

Collaboration in logistics fosters the development and testing of new use cases, especially those involving new technologies such as Internet of Things (IoT) or 5G. In this regard, 5G-LOGINNOV, a 3-year Horizon 2020 project aims at demonstrating the added values of 5G in port logistic operations. 5G-LOGINNOV will deploy and trial 11 use cases in 3 Living Labs (LLs): Athens, Hamburg, and Koper ports. This paper presents 5G-LOGINNOV evaluation data collection approach. Indeed, the data produced by the trials will serve in the evaluation of the impact of 5G technologies on the port operations as well as the socio-economic and environmental effects. Moreover, collaboration relies on efficient data sharing between the stakeholders. This paper describes some key principles and solutions for an efficient data sharing in the context of 5G-LOGINNOV's evaluation.

Optimised Use of Fixed-Scheduled Container Trains in Collaborative Logistics

Within this work, we present a novel optimisation approach trying to increase the throughput of the container transport network by focusing on smartly bundling container transportation on the railways. The proposed method is not only capable of providing optimal solutions to the container transportation problem but also supports in (re-)planning the service network in order to foster the decarbonisation of the freight forwarding sector.

Modelling shared logistics resources in loosely coupled software architectures

This research is part of the City Line project, a collaborative initiative within Belgium aiming to promote collaboration between various logistics operators, from cargo bikes to trucks, while ensuring low emissions for last-mile deliveries in cities. The objective is to integrate all relevant information regarding shared assets into a digital collaborative logistics platform managed by a third-party logistics provider acting as a central decision-maker coordinating transportation activities. First, we describe how the digital platform receives the services offered by the logistics operators and the delivery requests. Then, we propose an incremental method to assign the transport demand to the best route according to environmental and economic factors.

Build A Multi-Dimensional Collaborative Logistics Talent Training Model -Taking Chengdu University of Information Technology as an example

The “Opinions of the Ministry of Education on Accelerating the Construction of High-level Undergraduate Education to Comprehensively Improve the Ability of Talent Training (Jiao Gao [2018] No. 2)” clearly requires that the formation of a high-level undergraduate talent training system should be accelerated around the overall improvement of talent training capabilities. After 18 years of development, the logistics major of our school has made certain achievements in professional construction, teacher team construction, teacher teaching ability construction and experimental teaching guarantee construction, forming a relatively complete talent training system, but the social adaptation of talent training Sex still needs to be improved. This paper adheres to the problem orientation, based on the concept of collaborative education, and builds a multi-dimensional collaborative education talent training model from multiple perspectives, such as promoting the integration of production and education, condensing professional characteristics, implementing segmented training and building a capacity improvement system, and comprehensively improving the ability of logistics personnel training.

A Study on Collaborative Logistics Network Design with Truck Sharing under Demand Uncertainty

The sharing economy is a new innovative business model for more flexible and sustainable logistics. This paper proposes a stochastic programming model for supply chain network design with truck sharing. The model considers demand uncertainty and optimizes allocation and operation of trucks. A case study with realistic data is presented by applying the model to a supply chain with different collaboration level. A sensitivity analysis on cost parameter for sharing service is also conducted to evaluate the impact on business sustainability. The results show that higher collaboration level successfully copes with demand uncertainty, and improves revenues in the entire supply chain.

What drives horizontal logistics collaboration? A grounded theory analysis of Chinese logistics service providers.

Horizontal logistics collaboration is characterized by the highly professional cooperation of logistics service providers at the same level of the supply chain, which is an effective way to optimize the development and sustainability of modern logistics. Conducting a coding analysis of data from 41 in-depth interviews, this study constructs a theoretical framework of the driving force of horizontal logistics collaboration among Chinese logistics service providers to synchronously improve service, market, efficiency, and emergency competitiveness through cooperation with peer competitors to enhance sustainable comprehensive competitiveness. The four driving forces encourage logistics service providers to adjust their thoughts in the planning stage, change their behavior in the implementation stage, and transform their strategy in the evaluation stage. The results also indicate differences between China and other countries in the driving force, effective utilization of logistics workers, cross-institutional collaboration of state-owned enterprises, and integration of artificial intelligence technology. Finally, we propose relevant recommendations for managers.

IoT-Enabled Sustainable and Cost-Efficient Returnable Transport Management Strategies in Multimodal Transport Systems

Returnable transport items (RTIs) are widely used in multimodal transport systems. However, due to the lack of effective tracking methods, RTIs management efficiency is low and RTIs are easily lost, which directly and indirectly causes economic losses to enterprises. Internet of Things (IoT) technology is proved to be effective in realizing real-time tracking and tracing of various objects in diverse fields. However, an IoT-enabled RTIs management system in a multimodal transport system has not been widely accepted due to a lack of an effective cost decision model. To address these problems, this research first presents three typical schemes of RTIs management. through extensive field studies on collaborative logistics service providers in multimodal transport systems. Then, the cost–benefit analyses of these three schemes are conducted while the decision models on whether to adopt IoT technologies are built. Finally, based on the decision models, the main factors affecting the application of IoT-RTIs management systems are studied by numerical analysis, based on which several managerial implications are presented. These results can serve as a theoretical basis for enterprises interested in finding out whether IoT technology should be used in RTIs management.

The impact of the cost of road transport on the price of Brazilian soybean: the case of Mato Grosso do Sul and the practice of collaborative logistics

Of vital importance to the economy of Mato Grosso do Sul, soybean held the second position in the overview of the products exported in 2020, however, the state is distant from the main export terminals and with high dependence on the road modal. In view of this, the present study sought to evaluate the impact of the average cost of transportation on the price of Mato Grosso do Sul state soybean and the adoption of the practice of collaborative logistics as an alternative to reduce transportation costs. In order to calculate the average cost of road transport, the criteria established in the National Policy of Minimum Costs of Road Cargo Transport (PNPM – TRC) were followed as a guide. Analyzes were made for the vehicle compositions with 7 axles and 9 axles, originating in the municipalities of Maracaju, Ponta Porã and São Gabriel do Oeste and as destinations the port of Santos, Paranaguá and São Francisco do Sul. The results indicate that the vehicle compositions with 9 axles presented the lowest cost per ton transported for all routes analyzed and that, in the comparison between the current scenario and the ideal scenario that considers the adoption of the practice of collaborative logistics with the aggregate of routes Santos (route 1a), Paranaguá (route 1b) and São Francisco do Sul (route 1d) the reduction in the total financial cost for 7-axle compositions was R$ 49,936,261.64, representing a reduction of 5.24% and for 9-axle compositions the reduction in the total financial cost between the current scenario and the ideal scenario of the same aggregate route was R$ 43,462,818.45, representing also a reduction of 5.24%.

A csQCA study of value creation in logistics collaboration by big data: A perspective from companies in China

This study aims to explore the logistics service value creation using big data in the collaboration between logistics service companies and stakeholders. Based on the dynamic capability theory (DCT), this paper constructs a theoretical framework of value creation in logistics collaboration with six big data-driven factors, namely connection, interaction, integration, synergy, reconfiguration, and innovation. The clear set qualitative comparative analysis (csQCA) method examines the value creation paths of logistics service companies in China through combinations of big data-driven elements in collaboration with stakeholders (e.g., suppliers, manufacturers, retailers, and customers). The results show that combinations of six factors driven by big data form three paths to create value for logistics service companies and these factors play unequal roles in improving the value of logistics services. This study provides considerable insight for logistics service managers, practitioners, and scholars that organizations should attach importance to the role of big data for value creation in logistics collaboration.

A two-stage heuristic solution for multi-depot collaborative pickup and delivery network with transfers to reduce carbon emissions

Sharing resources and curbing emissions are critical for promoting the adoption of cleaner logistics technologies and improving environmental sustainability. However, little research has examined reducing the impact of carbon emissions on the environment by considering transfer between depots. Hence, this study investigated the impact of carbon emissions on a multi-depot collaborative pickup and delivery network with time windows and transfers (MDCPDPTW-Ts) and proposed a carbon emissions measurement to describe the relationship between fuel consumption and carbon emissions. Then, a two-stage heuristic framework was proposed to simplify MDCPDPTW-Ts and generate high-quality delivery routes. Finally, a case study from Dalian, China, was used to verify the effectiveness of the research methodology. The results demonstrated the following: (1) The multi-depot transfer network constructed in this paper is significantly better than the traditional no-transfer scheme, reducing the cost by 26.64%. (2) Sharing transfer facilities among different depots is the most attractive mode of realizing clean logistics, reducing the emission cost by 59.2% compared with the traditional depot-based transfer scheme. (3) Reasonable carbon prices and carbon quotas are highly significant to establishing a sustainable carbon trading market. As carbon prices increase, carbon emissions first show a sharp reduction trend and then gradually tend to remain unchanged. Therefore, this work can provide practical and theoretical implications for the sustainable development of multi-depot collaborative logistics.

Construction and Realization Path Analysis of Cross-Border E-Commerce Logistics Collaboration Model

In order to improve the synergy effect of cross-border e-commerce slogistics, this paper combines intelligent logistics communication technology to construct a cross-border e-commerce collaborative logistics model. Moreover, this paper proposes a parallel energy-efficient routing algorithm based on 3D cell space to improve the system operation effect. In addition, this paper deeply analyzes the data fusion function performed by MA when accessing nodes and proposes a data fusion criterion to judge the necessity of data fusion on nodes. Finally, this paper balances the energy consumption of e-commerce logistics data fusion and data transmission so that the sum of the two is minimized. The data simulation analysis shows that the cross-border e-commerce logistics collaboration model proposed in this paper has certain effects, and it can be applied to the actual operation of cross-border e-commerce.

Last-Mile Strategies for Urban Freight Delivery: A Systematic Review

Trends in retail and e-commerce have led to greater demand for urban freight and last-mile deliveries. This is a concern for urban planners, parcel carriers, and citizens as they struggle to cope with the demands that increased freight flows create in an urban context. This topic has also seen a corresponding expansion in the academic literature as researchers propose solutions to the problem of last-mile delivery. We conduct a systematic review of the literature to identify innovative last-mile delivery strategies as well as ways that those strategies are evaluated by researchers. This study will help academics as they consider directing future research as well as practitioners as they assess how delivery patterns may shift. We identify 22 last-mile delivery strategies and group them into four categories: innovative vehicles, urban goods consolidation, technological and routing advances in city logistics, and emerging planning tools and policies. We find that urban consolidation centers, freight bicycles, and collaborative logistics are the strategies that have received the most attention to date. Analyses of these options has focused on operational, environmental, social, and economic impacts with operational efficiency, emissions, and congestion being the three evaluation criteria discussed most in the literature. We propose that safety has not been adequately considered as a means for evaluating last-mile delivery strategies and should be a higher-priority focus for urban freight research going forward.

Impacts of Collaborative Logistics: A Brazilian Brewing Sector Case Studys

Impacts of Collaborative Logistics: A Brazilian Brewing Sector Case Studys

Last mile logistics: Research trends and needs

Abstract Aspiring green agendas in conjunction with tremendous economic pressures are resulting in an increased attention to the environment and technological innovations for improving existing logistics systems. Last mile logistics, in particular, are becoming much more than a consumer convenience necessity and a transportation optimization exercise. Rather, this area presents a true opportunity to foster both financial and environmental sustainability. This paper investigates recent technological advancements and pending needs related to business and social innovations, emphasizing green logistics and city logistics concepts. We discuss various pertinent aspects, including drones, delivery robots, truck platooning, collection and pickup points, collaborative logistics, integrated transportation, decarbonization and advanced transport analytics. From a mathematical perspective, we focus on the basic features of the vehicle routing problem and some of its variants. We provide recommendations around strategies that may facilitate the adoption of new effective technologies and innovations.