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Journal ArticleDOI: 10.1080/00207543.2020.1841315

Integrating Internet of Things and multi-temperature delivery planning for perishable food E-commerce logistics: a model and application

04 Mar 2021-International Journal of Production Research (Taylor & Francis)-Vol. 59, Iss: 5, pp 1534-1556
Abstract: With the rapid growth of perishable food e-commerce businesses, there is a definite need for logistics services providers to manage parcel shipments with multi-temperature requirements. E-commerce ...

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Topics: E-commerce (53%)
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12 results found


Journal ArticleDOI: 10.1016/J.IJPE.2021.108157
Abstract: When studying the vehicle routing problem, especially for on-time arrivals, the determination of travel time plays a decisive role in the optimization of logistics companies. Traffic Internet of Things (IoT) connects ubiquitous devices and collects data from various channels like traffic cameras, vehicle detectors, GPS, sensors, etc. that can be used to analyze real-time traffic status and eventually increase the efficiency of logistics management for Logistics 4.0. However, big IoT data contain joint features that interact non-linearly and complicatedly, thus increasing the stochastic nature and difficulty of determining travel time on real-time basis. This research proposes a novel method (named the gradient boosting partitioned regression tree model) to forecast travel time based on big data collected from the industrial IoT infrastructure. The proposed method separates the global regression tree model based on the gradient boosting decision tree into several partitions to capture the time-varying features simultaneously – that is, to subdivide the non-linearity into fragments and to characterize the feature interactions in a manageable way with recursive partitions. We illustrate several analytical properties with manageable advantages in terms of big data analytics of the proposed method and apply it to real traffic IoT data. Findings of this research show that the proposed method performs successfully at enhancing the predictive accuracy of travel time after empirically comparing it with other computational methods.

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Topics: Big data (56%), Predictive analytics (55%), Gradient boosting (52%) ... read more

6 Citations


Journal ArticleDOI: 10.1108/BIJ-07-2020-0371
Abstract: Purpose: The food supply chain (FSC) challenges coupled with global disruptions, such as the recent coronavirus disease 2019 (COVID-19) pandemic outbreak, exacerbate its vulnerability The Internet of things (IoT) is one of the disruptive technologies being adopted in food supply chain management (FSCM) This study aims to address the challenges of IoT adoption in the FSC by systematically analyzing the prior pertinent literature Design/methodology/approach: A structured literature review was used to collate a list of peer-reviewed and relevant publications A total of 72 out of 210 articles were selected for the final evaluation Findings: The literature review findings suggest five themes: technical, financial, social, operational, educational and governmental related challenges A total of 15 challenges were devised from the review related literature of IoT adoption The study concludes with future research recommendations for scholars and practical implications for practitioners Research limitations/implications: While this study focuses on the overall FSC, further research should address other domains in the FSC such as cold supply chain, agriculture and perishable food to gain a better contextual understanding of the specific case Originality/value: The topic of IoT adoption in the FSCM is still considered emerging Therefore, the present work contributes to the limited studies and documentation on the level of IoT implementation in the FSCM This study should help organizations to assimilate how to adopt and manage the IoT application by addressing the factors and challenges presented in this research © 2021, Emerald Publishing Limited

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Topics: Supply chain (53%), Supply chain management (51%)

3 Citations


Open accessJournal ArticleDOI: 10.3390/S21113838
Muhammad Umair1, Muhammad Aamir Cheema2, Omer Cheema, Huan Li3  +1 moreInstitutions (4)
01 Jun 2021-Sensors
Abstract: COVID-19 has disrupted normal life and has enforced a substantial change in the policies, priorities and activities of individuals, organisations and governments. These changes are proving to be a catalyst for technology and innovation. In this paper, we discuss the pandemic’s potential impact on the adoption of the Internet of Things (IoT) in various broad sectors, namely healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT. Our perspective and forecast of this impact on IoT adoption is based on a thorough research literature review, a careful examination of reports from leading consulting firms and interactions with several industry experts. For each of these sectors, we also provide the details of notable IoT initiatives taken in the wake of COVID-19. We also highlight the challenges that need to be addressed and important research directions that will facilitate accelerated IoT adoption.

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3 Citations


Open accessJournal ArticleDOI: 10.22237/JOTM/1530446760
Abstract: The discoverability and admissibility of post-accident “preventability” determinations by trucking companies is often much disputed in truck accident cases. It is well known that Plaintiff’s attorneys will try to construe a trucking company’s classification of an accident as “preventable” as an admission of fault during the course of a lawsuit. However, statements made by the FMCSA provide significant support to a trucking company’s efforts to preclude discovery or admission of preventability determinations in a lawsuit. This articles explores these issues.

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1 Citations


Open accessJournal ArticleDOI: 10.1177/18479790211019526
HC Wan1, Kwai-Sang Chin1Institutions (1)
Abstract: With the ageing population all over the world, long-term care services, such as nursing care, are essential to provide care and treatments to elderly patients in the community. During the nursing c...

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Topics: Nursing care (79%), Integrated care (75%), Health care (63%) ... read more

1 Citations


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49 results found


Journal ArticleDOI: 10.1007/S00158-009-0460-7
R. Timothy Marler1, Jasbir S. Arora1Institutions (1)
Abstract: As a common concept in multi-objective optimization, minimizing a weighted sum constitutes an independent method as well as a component of other methods. Consequently, insight into characteristics of the weighted sum method has far reaching implications. However, despite the many published applications for this method and the literature addressing its pitfalls with respect to depicting the Pareto optimal set, there is little comprehensive discussion concerning the conceptual significance of the weights and techniques for maximizing the effectiveness of the method with respect to a priori articulation of preferences. Thus, in this paper, we investigate the fundamental significance of the weights in terms of preferences, the Pareto optimal set, and objective-function values. We determine the factors that dictate which solution point results from a particular set of weights. Fundamental deficiencies are identified in terms of a priori articulation of preferences, and guidelines are provided to help avoid blind use of the method.

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965 Citations


Journal ArticleDOI: 10.1016/J.IJPE.2013.12.028
Abstract: Increasing environmental, legislative, and social concerns are forcing companies to take a fresh view of the impact of supply chain operations on environment and society when designing a sustainable supply chain. A challenging task in today's food industry is distributing high quality perishable foods throughout the food supply chain. This paper proposes a multi-objective optimization model by integrating sustainability in decision-making, on distribution in a perishable food supply chain network (SCN). It introduces a two-echelon location–routing problem with time-windows (2E-LRPTW) for sustainable SCN design and optimizing economical and environmental objectives in a perishable food SCN. The goal of 2E-LRPTW is to determine the number and location facilities and to optimize the amount of products delivered to lower stages and routes at each level. It also aims to reduce costs caused by carbon footprint and greenhouse gas emissions throughout the network. The proposed method includes a novel multi-objective hybrid approach called MHPV, a hybrid of two known multi-objective algorithms: namely, multi-objective particle swarm optimization (MOPSO) and adapted multi-objective variable neighborhood search (AMOVNS). MHPV features two strategies for leader selection procedures (LSP), (i.e. Grids) and crowding distance is compared to common genetic algorithms based on metaheuristics (i.e. MOGA, NRGA and NSGA-II). Results indicate that the hybrid approach achieves better solutions compared to others, and that crowding distance method for LSP outperforms the former Grids method.

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Topics: Supply chain network (64%), Supply chain (59%), Metaheuristic (54%) ... read more

416 Citations


Journal ArticleDOI: 10.1080/00207543.2017.1402140
Abstract: This paper explores the role of Internet of Things (IoT) and its impact on supply chain management (SCM) through an extensive literature review. Important aspects of IoT in SCM are covered including IoT definition, main IoT technology enablers and various SCM processes and applications. We offer several categorisation of the extant literature, such as based on methodology, industry sector and focus on a classification based on major supply chain processes. In addition, a bibliometric analysis of the literature is also presented. We find that most studies have focused on conceptualising the impact of IoT with limited analytical models and empirical studies. In addition, most studies have focused on the delivery supply chain process and the food and manufacturing supply chains. Areas of future SCM research that can support IoT implementation are also identified.

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Topics: Supply chain (57%), Supply chain management (56%), Industry 4.0 (51%)

405 Citations


Journal ArticleDOI: 10.1016/J.INS.2016.03.026
Abstract: This paper presents a comparative study of type-2 fuzzy logic systems with respect to interval type-2 and type-1 fuzzy logic systems to show the efficiency and performance of a generalized type-2 fuzzy logic controller (GT2FLC). We used different types of fuzzy logic systems for designing the fuzzy controllers of complex non-linear plants. The theory of alpha planes is used for approximating generalized type-2 fuzzy logic in fuzzy controllers. In the defuzzification process, the Karnik and Mendel Algorithm is used. Simulation results with a type-1 fuzzy logic controller (T1FLC), an interval type-2 fuzzy logic controller (IT2FLC) and with a generalized type-2 fuzzy logic controller (GT2FLC) for benchmark plants are presented. The advantage of using generalized type-2 fuzzy logic in fuzzy controllers is verified with four benchmark problems. We considered different levels of noise, number of alpha planes and four types of membership functions in the simulations for comparison and to analyze the approach of generalized type-2 fuzzy logic systems when applied in fuzzy control.

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Topics: Fuzzy logic (81%), Fuzzy number (79%), Fuzzy electronics (79%) ... read more

264 Citations


Open accessJournal ArticleDOI: 10.1080/00207543.2015.1043403
Abstract: Research on dynamic and stochastic vehicle routing problems received increasing interest in the last decade It considers a novel problem class, aiming at an appropriate handling of dynamic events combined with the incorporation of stochastic information about possible future events This survey summarises the recent literature in this area Besides, the classification according to the available stochastic information, a new classification based on the point in time where substantial computational effort for determining decisions or decision policies arises, is introduced Furthermore, the difference in solution quality is analysed between approaches which consider either purely dynamic or stochastic problems compared to those which consider both, stochastic and dynamic aspects A graphical representation demonstrates the strength of the reviewed approaches incorporating dynamic and stochastic information The survey also gives an overview on the intensity of research for the different problem classes and

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260 Citations


Performance
Metrics
No. of citations received by the Paper in previous years
YearCitations
202111
20181