NB-IoT Powered Last-Mile Delivery Framework for Cold Supply Chain

Author(s):  
Leena Wanganoo ◽  
Vinod Kumar Shukla ◽  
Biranchi Prasad Panda
Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1833 ◽  
Author(s):  
Tamás Bányai

Energy efficiency and environmental issues have been largely neglected in logistics. In a traditional supply chain, the objective of improving energy efficiency is targeted at the level of single parts of the value making chain. Industry 4.0 technologies make it possible to build hyperconnected logistic solutions, where the objective of decreasing energy consumption and economic footprint is targeted at the global level. The problems of energy efficiency are especially relevant in first mile and last mile delivery logistics, where deliveries are composed of individual orders and each order must be picked up and delivered at different locations. Within the frame of this paper, the author describes a real-time scheduling optimization model focusing on energy efficiency of the operation. After a systematic literature review, this paper introduces a mathematical model of last mile delivery problems including scheduling and assignment problems. The objective of the model is to determine the optimal assignment and scheduling for each order so as to minimize energy consumption, which allows to improve energy efficiency. Next, a black hole optimization-based heuristic is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to increase energy efficiency in last mile logistics.


Author(s):  
Sameh M. Saad ◽  
Ramin Bahadori

"The Last mile delivery is known as one of the most costly and highest polluting stages within the food supply chain where food companies deliver the food products to the final consumers. As a new approach in this area, currently, a few food retailers offering pick up point service delivery using lockers. This paper provides a comprehensive comparison of the sustainability performance between home service delivery and picks up point service delivery using lockers. Hypothetical last mile food models for both approaches are developed. A Vehicle Route Problem with Time Window (VRPTW) is developed to minimise the CO2 emission and implemented using the simulated annealing algorithm which is programmed in MATLAB software. Supply Chain GURU Software is adapted to implement the Greenfield analysis to identify the optimal number and the location of the locker facilities through a Greenfield service constraint."


2020 ◽  
Vol 6 (159) ◽  
pp. 153-160
Author(s):  
A. Rossolov ◽  
O. Lobashov ◽  
A. Botsman

The paper presents the theoretical and experimental study results on construction sustainable urban supply chain, namely last mile delivery. Within the theoretical part we proposed to estimate the necessary number of local depots within the supply chain taking into account the direct and indirect impacts from a delivery system functioning. The indirect effect is presented with CO2 emissions. The conducted experiment has covered the pes-simistic and optimistic scenarios for delivery system states. Within the experiment along with demand attributes we assessed the range of vehicle carrying capacity from 0.5 to 2 tons. The obtained experimental results revealed the shift in necessary local depots number to guarantee the sustainable effect for delivery system and promote liveable state for the urban area.


2020 ◽  
Vol 46 (8) ◽  
pp. 1330-1341 ◽  
Author(s):  
David J. Ketchen ◽  
Christopher W. Craighead

Since the early 2000s, research at the intersection of entrepreneurship and strategic management has flourished, as has work at the intersection of strategic management and supply chain management. In contrast, little inquiry has occurred at the intersection of entrepreneurship and supply chain management. This presents a tremendous opportunity, as does the relative lack of work bringing together all three fields. We seek to set the stage for exploiting these opportunities by first describing how incorporating a series of key supply chain concepts—omni-channel, last-mile delivery, supply chain agility, supply chain resiliency, and service recovery—could enrich entrepreneurship research. We then explain how the boundaries of key entrepreneurship concepts—opportunity, entrepreneurial orientation, optimal distinctiveness, bricolage, and fear of failure—could be extended to the supply chain context. Both of these moves bring strategic management concepts into play, as well. In accomplishing our tasks, we draw on examples from how firms attempted to navigate the COVID-19 pandemic via moves spanning entrepreneurship, supply chain management, and strategic management.


Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4132
Author(s):  
Vitalii Naumov ◽  
Michał Pawluś

Efficient vehicle routing is a major concern for any supply chain, especially when dealing with last-mile deliveries in highly urbanized areas. In this paper problems considering last-mile delivery in areas with the restrictions of motorized traffic are described and different types of cargo bikes are reviewed. The paper describes methods developed in order to solve a combination of problems for cargo bicycle logistics, including efficient packing, routing and load-dependent speed constraints. Proposed models apply mathematical descriptions of problems, including the Knapsack Problem, Traveling Salesman Problem and Traveling Thief Problem. Based on synthetically generated data, we study the efficiency of the proposed algorithms. Models described in this paper are implemented in Python programming language and will be further developed and used for solving the problems of electric cargo bikes’ routing under real-world conditions.


Author(s):  
K. H. Leung ◽  
Stephen W. Y. Cheng ◽  
K. L. Choy ◽  
David W. C. Wong ◽  
H. Y. Lam ◽  
...  

The retail and logistics industry has been revolutionized by the emerging trend of e- commerce business. End-consumers are able to purchase items from online shops from any corner of the world. However, logistics service providers (LSPs) have been facing fundamental challenges in complying with the ever increasing needs of providing proper supply chain solutions. In view of the increasing concern over the order fulfillment performance of LSPs, this article theoretically and practically extends the conventional supply chain postponement strategy into an order fulfillment strategy, namely Warehouse Postponement Strategy (WPS), which is a process-oriented tactic addressing logistics process postponement. A case example is provided to introduce an intelligent knowledge-based wave put-away decision support system (IKWPS), which practically realizes the concept of warehouse postponement strategy. With IKWPS and the embedded concept of WPS, logistics practitioners are enabled to gain the competitive advantage of “last-mile” delivery through enhancing end customer loyalty.


2019 ◽  
Vol 3 (1) ◽  
pp. 39-51
Author(s):  
Fino Wahyudi Abdul ◽  
Yuli Evitha

In this paper, we provide a form of distribution network design and application in the field of e-commerce in the supply chain, with a distribution network design approach. Thus a good distribution network model can be determined in e-commerce business and provide quality service through the delivery period of equipment and materials to the consumer's location that is fast and low cost which can provide more competitive prices for customers. This is where the role of distribution is very important, because with the distribution of all materials both raw materials and finished products can be distributed to each party in need in the supply chain. In the supply chain itself there are several distribution designs available, namely Manufacturer Storage With Direct Shipping, Manufacturer of Storage with Direct Shipping and In-Transit Merge, Storage With Carrier Delivery Distributor, Storage With Last-Mile Delivery Distributor, Manufacturer Or Distributor Storage With Customer Pickup.


2018 ◽  
Vol 7 (1) ◽  
pp. 72-82 ◽  
Author(s):  
Tomasz Woźniakowski ◽  
Magdalena Nowakowska ◽  
Krzysztof Zmarzłowski

Many different kinds of automation are saving great amount of time and money in e-commerce. This paper gives an overview of the current applications and future of robots in e-commerce and discusses the various factors that that are important to choosing the best approach in ‘last-mile-delivery’. It discusses advantages and disadvantages of autonomous vehicles, questions about safety and reliability and marketing effect. Automation at earlier stages of supply chain, less visible for clients has more impact on delivery process economics.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ehsan Rashidzadeh ◽  
Seyyed Mohammad Hadji Molana ◽  
Roya Soltani ◽  
Ashkan Hafezalkotob

Purpose Delivery management of perishable products such as blood in a supply chain is a considerable issue such that the last-mile delivery, which refers to deliver goods to the end user as fast as possible takes into account as one of the most important, expensive and, polluting segments in the entire supply chain. Regardless of economic challenges, the last-mile delivery faces social and environmental barriers to continuing operations while complying with environmental and social standards, therefore incorporating sustainability into last-mile logistic strategy is no longer an option but rather a necessity. Accordingly, the purpose of this paper is to consider a last-mile delivery in a blood supply chain in terms of using appropriate technologies such as drones to assess sustainability. Design/methodology/approach The authors discuss the impact of drone technology on last-mile delivery and its importance in achieving sustainability. They focus on the effect of using drones on CO2 emission, costs and social benefits by proposing a multi-objective mathematical model to assess sustainability in the last-mile delivery. A preemptive fuzzy goal programming approach to solve the model and measure the achievement degree of sustainability is conducted by using a numerical example to show the capability and usefulness of the suggested model, solution approach and, impact of drone technology in achieving all three aspects of sustainability. Findings The findings illustrate the achievement degree of sustainability in the delivery of blood based on locating distribution centers and allocating drones. Moreover, a comparison between drones and conventional vehicles is carried out to show the preference of using drones in reaching sustainability. A sensitivity analysis on aspects of sustainability and specifications of drone technology is conducted for validating the obtained results and distinguishing the most dominant aspect and parameters in enhancing the achievement degree of sustainability. Originality/value To the best of the authors’ knowledge, no research has considered the assessment of sustainability in the last-mile delivery of blood supply chain with a focus on drone technology.


2021 ◽  
Vol 14 (3) ◽  
pp. 26
Author(s):  
Xuan Feng

In recent years, last-mile delivery has become an increasingly important area in the global supply chain. Practically, there has been an increasing worldwide interest in developing the last-mile delivery robots/vehicles to increase the efficiency of the whole supply chain. Theoretically, several researchers have suggested that using autonomous robots brings more efficiency for delivery. However, almost no current studies consider a specific last-mile delivery activity – transport from supermarkets after loading to pick-up stations before unloading. The goal of this study is to investigate whether and how autonomous vehicles/robots can address the issue of cost and time efficiency. Specifically, this research aims at identifying the time and cost structures of using autonomous vehicles for the delivery along the chosen route – a single way from the Sainsbury’s supermarket to the Amazon pick-up station at Coventry. Furthermore, the research aims to find whether using autonomous vehicles is more efficient in time and/or cost than using vans with drivers for this route.


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