Logistics, Volume 5, Issue 2 (June 2021) – 23 articles

This paper provides an overview of the container shipping supply chain (CSSC) by taking a logistics perspective, covering all major value-adding segments in CSSC including freight logistics, container logistics, vessel logistics, port/terminal logistics, and inland transport logistics. The main planning problems and research opportunities in each logistics segment are reviewed and discussed to promote further research. Moreover, the two most important challenges in CSSC, digitalization and decarbonization, are explained and discussed in detail. We raise awareness of the extreme fragmentation of CSSC that causes inefficient operations. A pathway to digitalize container shipping is proposed that requires the applications of digital technologies in various business processes across five logistics segments, and change in behaviors and relationships of stakeholders in the supply chain. We recognize that shipping decarbonization is likely to take diverse pathways with different fuel/energy systems for ships and ports. This gives rise to more research and application opportunities in the highly uncertain and complex CSSC environment. Full article

This paper presents a generalization of a previously defined lexicographical dynamic flow model based on multi-objective optimization for solving the multi-commodity aid distribution problem in the aftermath of a catastrophe. The model considers distribution of the two major commodities of food and medicine, and seven different objectives, and the model can easily be changed to include more commodities in addition to other and different priorities between the objectives. The first level in the model is to maximize the amount of aid distributed under the given constraints. Keeping the optimal result from the first level, the second level can be solved considering objectives such as the cost of the operation, the time of the operation, the equity of distribution for each type of humanitarian aid, the priority of the designated nodes, the minimum arc reliability, and the global reliability of the route. The model is tested on a recent case study based on the Hagibis typhoon disaster in Japan in 2019. The paper presents a solution for the distribution problem and provides a driving schedule for vehicles for delivering the commodities from depots to the regional centers in need for humanitarian aid. Full article

Catering to Halal in the industry requires the explicit adoption of Halal Logistics (HL) to avoid the risk of cross-contamination and ensure that Halal products are safe, hygienic, nutritious, pure, unadulterated, and consistent with their labelling. We identify the need for meaningful research constructs relating to the appropriate adoption of Halal logistics through an extensive literature review. This paper identifies Critical Success Factors (CSF) and develops corresponding constructs that are fundamental for understanding the adoption of Halal logistics. This research also identifies the stakeholders involved and their objectives to facilitate the system design. As a starting point, from the existing literature, we adopt a structural model of CSFs to implement Halal Logistics. After that, this paper identifies and validates these CSFs with the support of extensive literature-based reviews, senior managers of Halal exporting organisations, Halal accrediting bodies, and professionals working in logistics and the cold chain. The research findings indicate that logistics service providers need to successfully upgrade their facilities to adopt Halal practices in their operations. Moreover, the role of governments is to reduce bureaucratic complexity so as to improve the ease with which businesses can implement HL. It becomes clear, from the analysis, that logistics service providers have the most prominent role in the effective adoption of the Halal supply chain. Consumers have a more prominent role than government support in the growing market of Halal products. This paper contributes to the identification of stakeholders’ objectives, which will facilitate the efficient adoption of Halal logistics and provide a direction for undertaking associated future work. Full article

In the global trucking industry, vertical collaboration between shippers and carriers is attained by intermediaries, called brokers. Brokers organize carriers for a shipper in accordance with its quality and price requirements, and support carriers to collaborate horizontally by sharing a large distribution order from a shipper. Brokers also act as trustees, preventing the passing of private information of any party to the others. Despite these benefits, intermediaries in the trucking industry are involved in several sustainability problems, including high costs, high levels of carbon emissions, high percentages of empty miles, low-capacity utilizations, and driver shortages. Several studies have acknowledged the importance of improving collaboration to address these problems. Obviously, the major concern of brokers is not collaboration, but rather to optimize their own gains. This paper investigates the potential of blockchain technology to improve collaboration in the trucking industry, by eliminating brokers while preserving their responsibilities as organizers and trustees. This paper extends the transportation control tower concept from the logistics literature, and presents a system architecture for its implementation through smart contracts on a blockchain network. In the proposed system, the scalability and privacy of trucking operations are ensured through integration with privacy-preserving off-chain computation and storage solutions (running outside of the blockchain). The potential of this design artifact for fostering collaboration in the trucking industry was evaluated by both blockchain technology experts and trucking industry professionals. Full article

Smart service systems have been dealing with various wicked social and cultural problems by providing diverse solutions for society. Cargo transportation is one of the most challenging issues in logistics; in this paper, we explore multiple stakeholders’ information environments surrounding containerized cargo transportation by a design thinking approach. Throughout the analysis, the latent problems are summarized in the following two manners: (1) miscommunication with inefficient information flow among multiple stakeholders; and (2) a lack of resource management coordination among service providers. With these two identified problems, the objective of this work is to develop a prototype information and communication technology-based service application for both trucking companies and customers. This work makes two contributions. First, it methodologically proposes a customer-centered design approach for logistics management by adopting a design thinking approach. Second, it suggests a practical ICT-based solution for the mentioned problems. Full article

The study aims to analyze the impact of China–Pakistan Economic Corridor (CPEC) logistics-related developments on economic growth in Pakistan. The study defined a Cobb–Douglas type of research framework in which the country’s real income level relates to four factor inputs, e.g., employed labor force, logistics development, financial development, and energy consumption in an economy. The study utilized the time series data set for the period 1972–2018. To estimate the long run relationship and short run adjustment mechanism, the study used Johansen’s method of co-integration and error correction model. Estimated results showed that the country’s logistics developments have a significant positive impact on economic growth in both the long run and the short run. It implies that China–Pakistan collaborative efforts for logistics developments will have a strong positive impact on economic growth in Pakistan. Full article

Trucking companies play a critical role in the U.S. economy but face many challenges. The trucking industry’s greatest challenge may be the persistent driver turnover problem. Trucking companies regularly report turnover rates exceeding 100%. Each driver costs between $2200–$21,000 to replace and new drivers often impact carrier customer service and safety performance. The purpose of this article is to qualitatively explore the challenges drivers face with hopes of uncovering unique methods to improve job satisfaction and ameliorate turnover and retention issues. Results indicate that driver job satisfaction is related to compensation, management quality, equipment quality, home time, and wait time. Proactive managerial actions in the form of pre-planning loads are proposed as a method for carriers to resolve many driver concerns and possibly provide carriers with a competitive advantage in driver retention. Full article

Market conditions have become increasingly dynamic and demanding, resulting in a challenging competitive environment. To adapt to this dynamic environment, supply chains have become increasingly reliant on collaboration, integration, flexibility, and trust between stakeholders. Therefore, the importance of new technological applications in supply chains has grown even more. To improve supply chain flow control, modern specialized applications must be implemented. Blockchain technology has established itself as a necessary component of today’s competitive environment. Companies should invest in blockchain technology to respond quickly to changing market conditions and demands in today’s dynamic business environment. In this regard, this study investigates the effect of blockchain technology utilization on supply chain transparency, supply chain flexibility, and trust in suppliers. For this purpose, first, data were collected from the first 1000 exporting firms declared in 2019 by the Turkey Exporters Assembly using a survey method. Secondly, factor analyses and regression analyses were performed with the dataset obtained from 84 companies. As a result of the analysis, it was determined that blockchain technology utilization increases transparency, flexibility, and trust in supply chains. According to these results, it is suggested that companies should invest in blockchain technology to make their supply chain more transparent, flexible, and secure. Moreover, blockchain plays a crucial role in building mutual trust with supply chain stakeholders. Finally, the research includes some considerations on the positive implications and potential of blockchain in collaboration and integration. Full article

Order picking is a logistics component of warehouse operations where substantial productivity gains are possible. In this study, we investigate implementation processes of collaborative order picking robots (cobots) and focus on the influence of human factors on their implementation in high volume distribution centres. These human factors are: resistance to change; organisational culture; communication on change; and leadership. Four case companies were selected that have experience with testing and introducing several types of cobot and have successfully implemented (at least) one type of cobot over an extended period. In-depth interviews with operational decision-makers led to the identification of 66 critical incidents related to human factors. The results demonstrate the importance of planning the implementation process in phases. Employees are hesitant or resistant to the change due to a lack of information, experience, and communication. The decisive role of the team leader is crucial to implement cobots successfully, and here the individual character traits (e.g., the variance in commitment, character, and motivation) influence the process as well. Although the introduction of cobots is not yet widespread, and the negative impact on the workforce (i.e., concerning job loss) is currently low, one should be aware of the possible future implications when robotisation becomes structurally embedded. Therefore, this article calls for a stronger link between human factors and the future of work, with a specific focus on reskilling and upskilling of logistics professionals in light of robotisation, rather than binary approaches in which robots are primarily seen as a threat to the current workforce. Full article

In this volatile post-COVID environment where customers look for ways to order products online using personal computers and mobile devices, a traditional sale/delivery of products via single distribution channel needs to be reassessed. As a revolutionary alternative to a conventional distribution channel, this paper proposes an omni-channel strategy. The omni-channel aims to maximize the customer shopping experience by diversifying and integrating the product purchase and delivery media through customer engagement. The omni-channel also facilitates the sales of products by allowing customers to seamlessly interact with retailers across the multiple channels such as websites, social media, brick-and-mortar stores, kiosks, call centers, and the like. Since the transformation of product sale, purchase, and delivery processes requires a new business mindset and innovative strategic initiatives, this paper sheds light on potential challenges and opportunities of implementing the omni-channel strategy, while identifying key success factors for the application of the omni-channel concept to e-tailing. Full article

The organic street markets are considered a short food supply chain, and their importance gained new proportions since COVID-19 brought difficulties to the traditional supply chain. The organic street markets represent a place to sell the product for organic family farmers and an opportunity to obtain better quality and variety of organic products at a lower price. This work aimed to analyze the geographical distance from producers and consumers of organic street markets in Belo Horizonte, Brazil, identifying the organic street market characteristics that influence the organic consumers. The research methods used descriptive statistics, a chi-squared test, and the measurement of the geographical distance. Results allowed us to conclude the organic street markets with more producers attract more consumers and consumers willing to travel long distances. Additionally, the factors related to a street market location, product, and consumer behavior are associated. Finally, results indicated the location of organic street markets contributes to displacements by non-motorized modes. The results indicated that the organic street market characteristics can contribute to a sustainable, short, organic food supply chain in Belo Horizonte. Full article

The rapid growth in online shopping and associated parcel deliveries prompts investigation of the factors that contribute to parcel delivery demand. In this study, we evaluated the influence of locational and household characteristics on e-commerce home delivery demand. While past research has largely focused on the impacts of the adoption of online shopping using individual/household survey data, we made use of data from an e-commerce carrier. A linear regression model was estimated considering factors such as degree of urbanization, transit and shopping accessibility, and household attributes. The results both confirm and contradict prior research findings, highlighting the potential for a non-negligible influence of the local context on demand for parcel deliveries. Full article

This study focuses on solving the vehicle routing problem (VRP) of E-logistics service providers. In our problem, each vehicle must visit some pick up nodes first, for instance, warehouses to pick up the orders then makes deliveries for customers in the list. Each pickup node has its own list of more than one customers requiring delivery. The objective is to minimize the total travelling cost while real-world application constraints, such as heterogeneous vehicles, capacity limits, time window, driver working duration, etc. are still considered. This research firstly proposes a mathematical model for this multiple pickup and multiple delivery vehicle routing problem with time window and heterogeneous fleets (MPMDVRPTWHF). In the next step, the ant colony optimization algorithm is studied to solve the problem in the large-scale. Full article

Truck platooning involves a small convoy of freight vehicles using electronic coupling as an application in automated driving technology, and it is expected to represent a major solution for improving efficiency in truck transportation in the near future. Recently, there have been several trials regarding truck platooning with major truck manufacturers and logistics companies on public roads in the United States, European countries and Japan. There is a need to locate a facility for the formation of truck platooning to realize the unmanned operation of trucks following in a platoon. In this study, we introduce the current status of truck platooning in Japan and present the optimal location model for truck platooning using the continuous approximation model with a numerical experiment, considering the case in Japan. We derived the optimal locational strategy for the combination of the long-haul ratio and the cost factor of platooning. With parameters estimated for several scenarios for the deployment of truck platooning in Japan, the numerical results show that the optimal locational strategy for a platoon of manned vehicles and a platoon with unmanned following vehicles is the edge of the local region, and that for a platoon of fully automated vehicles is the center of the region. Full article

As the modern aviation-oriented business model (aerotropolis), the Airport Economy Zone (AEZ) accumulates capital, technology, workforce, and other production factors. The AEZ always has a large number of infrastructure investments. Still, it has not yet achieved the expected effect in integrating and driving other regional resource endowments in the short term in China. Therefore, governments and AEZ organizations must utilize these investments and create values. This paper demonstrates how the Zhengzhou AEZ (ZAEZ) in China integrates its resources and stakeholders to overcome the remaining issues in its airport stage and gain competitive advantages. We classify three integrations: integrations from contents, including strategic alliance, information sharing, and process coordination; integrations from objectives, including internal integration and external integration; and integrations from objects, including integrating stakeholder, financial resource, and material resource. This paper presents the value creation and competitive advantages of the economy zone from the analysis of different integrations. Full article

Both modern multi- and intermodal supply chains pose a significant challenge to control and maintain while offering numerous optimization potential. Digital Twins have been proposed to improve supply chains. However, as of today, they are only used for certain parts of the entire supply chain. This paper presents an initial framework for a holistic Digital Supply Chain Twin (DSCT) capable of including an entire multimodal supply chain. Such a DSCT promises to enable several improvements all across the supply chain while also be capable of simulating and evaluate several different scenarios for the supply chain. Therefore, the DSCT will not only be able to optimize multi- and intermodal supply chains but also makes them potentially more robust by identifying possible issues early on. This paper discusses the major requirements that such a DSCT must fulfil to be useful and how several information technologies that matured in recent years or are about the mature are the key enablers to fulfil these requirements. Finally, a suggested high-level architecture for such a DSCT is presented as a first step towards the realization of a DSCT, as presented in this work Full article

A data-driven approach in production logistics is adopted as a response to challenges such as low visibility and system rigidity. One important step for such a transition is to identify the enabling technologies from a value-creating perspective. The existing corpus of literature has discussed the benefits and applications of smart technologies in overall manufacturing or logistics. However, there is limited discussion specifically on a production logistics level, from a systematic perspective. This paper addresses two issues in this respect by conducting a systematic literature review and analyzing 142 articles. First, it covers the gap in literature concerning mapping the application of these smart technologies to specific production logistic activities. Ten groups of technologies were identified and production logistics activities divided into three major categories. A quantitative share assessment of the technologies in production logistics activities was carried out. Second, the ultimate goal of implementing these technologies is to create business value. This is addressed in this research by presenting the “production logistics data lifecycle” and the importance of having a balanced holistic perspective in technology development. The result of this paper is beneficial to build a ground to transit towards a data-driven state by knowing the applications and use cases described in the literature for the identified technologies. Full article

The analysis in hand provides a brief assessment of the United States’ and Canada’s marine transportation system and relevant search and rescue (SAR) support in relation to the Northwest Passage, with the purpose of examining to what extent these countries’ relevant infrastructure resources are able to meet the expected growth of shipping operations and business activities in the Arctic. Through an extensive literature review, this assessment will specifically describe the most important influences upon the maritime transportation system, with the issue of certain geographical details and the capabilities of existing ports standing out. Additionally, vessel activity trends and vessel traffic routing measure initiatives will be examined. Furthermore, the SAR infrastructure details and means to render assistance to people in distress along the Northwest Passage will be discussed. The reality remains that port characteristics are limited and vessel traffic routing measure initiatives and upgrades to SAR assets are commendable but slow-paced. It is true that both the United States and Canada are taking proper measures to build up infrastructure needs, but they both may run out of time to put adequate infrastructure in place to deal effectively with the changing environment. Full article

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers. Full article

The role of sustainability has made it a vital point to measure companies’ financial performances and sustainability practices along the overall supply chain. Logistics service providers (LSPs) are among the supply chain actors that need to consider sustainability practices to present a better sustainable service. Therefore, we studied LSPs in Egypt, as Egypt has set sustainability goals in the logistics sector to be achieved by 2030. This research proposes a new sustainable logistics service quality (SLSQ) scale through reviewing the literature on sustainable service quality (SSQ) and logistics service quality (LSQ). While additional semi-structured interviews were conducted with LSP companies in Egypt to formulate the SLSQ scale for this specific region, the Q-sorting technique was used to confirm SLSQ measurements. Hence, we present a scale to evaluate Egypt’s overall LSPs’ service quality. Our research thereby contributes to the theory by proposing a new framework that measures the SLSQ in LSP companies in emerging countries and to the practice by tying the framework to accompany Egyptian law. The results are discussed against previous literature and concluded by showing limitations and potential future research avenues. Full article

The ever-increasing concerns of the growth in the volume of waste tires and new strict government legislations to reduce the environmental impact of the end-of-life (EOL) tires have increased interest among companies to design a sustainable and efficient closed-loop supply-chain (CLSC) network. In the real world, the CLSC network design is subject to a variety of uncertainties, such as random and fuzzy (epistemic) uncertainties. Designing a reliable and environmentally cautious CLSC with consideration of risks and the uncertainty of the parameters in the network is necessary for a successful supply-chain network. This study proposes a sustainable and environmentally cautious closed-loop supply-chain network for the tire industry, by considering several recovery options, including retreading, recycling, and energy recovery. This study aims to design and develop a robust multi-objective, multi-product, multi-echelon, multi-cycle, multi-capacity, green closed-loop supply-chain network under hybrid uncertainty. There are two types of uncertainties associated with the parameters in the network. There is an uncertainty associated with the demand, which is expressed in some future scenarios according to the probability of their occurrences, as well as fuzzy-based uncertainty associated with return rates, retreading rates, recycling rates, procurement, and production costs, which are expressed with possibilistic distributions. In order to deal with this hybrid uncertainty, a robust fuzzy stochastic programming approach has been proposed, and the proposed mixed integer programming model is applied to a case study in the tire industry to validate the model. The result indicates the applicability of the proposed model and its efficiency to control the hybrid uncertainties and the risk level in the network. Full article

Long and complex supply chains are vulnerable to disruptions. One way to solve this problem is to successfully manage supply chain integration (SCI). A system dynamics simulation is thus applied to study a cheese supply chain with three individual firms: a producer, a logistics service provider (LSP), and a retailer. Our purpose is to study the effects of SCI strategies with different dimensional focuses, i.e., information integration (Scenario 1), relational integration (Scenario 2), and operational integration (Scenario 3), on the recovery of three types of disruptions, i.e., a producer capacity disruption, an LSP capacity disruption, and a demand disruption. Tests of parameter scenarios are further applied to provide solutions for supply chains using different strategies. Our results indicate that Scenario 3 is the best practice, regardless of any type of disruption, while Scenario 1 usually achieves the worst performance. This is consistent with an evolutionary perspective of supply chain integration: information integration gives firms a competitive advantage as the first step. Working as partners to share the most appropriate information leads to greater benefits. We extend this perspective by showing that further elimination of information delay helps the supply chain achieve the best performance. Full article