scholarly journals Identifying the Optimal Packing and Routing to Improve Last-Mile Delivery Using Cargo Bicycles

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4132
Author(s):  
Vitalii Naumov ◽  
Michał Pawluś
Keyword(s):  
Supply Chain ◽  
Traveling Salesman ◽  
Optimal Packing ◽  
Python Programming Language ◽  
Last Mile ◽  
Different Types ◽  
Urbanized Areas ◽  
Efficient Packing ◽  
Last Mile Delivery ◽  
Python Programming

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.

scholarly journals Real-Time Decision Making in First Mile and Last Mile Logistics: How Smart Scheduling Affects Energy Efficiency of Hyperconnected Supply Chain Solutions

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1833 ◽  
Author(s):  
Tamás Bányai
Keyword(s):  
Energy Efficiency ◽  
Supply Chain ◽  
Energy Consumption ◽  
Real Time ◽  
Real Time Scheduling ◽  
Improve Energy Efficiency ◽  
Increase Energy Efficiency ◽  
Last Mile ◽  
Time Scheduling ◽  
Last Mile Delivery

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.

scholarly journals "Sustainability evaluation of last mile food delivery: pick up point using lockers versus home delivery"

2018 ◽  
Author(s):  
Sameh M. Saad ◽  
Ramin Bahadori
Keyword(s):  
Supply Chain ◽  
Service Delivery ◽  
Simulated Annealing Algorithm ◽  
Time Window ◽  
Home Delivery ◽  
Food Delivery ◽  
Optimal Number ◽  
Home Service ◽  
Last Mile ◽  
Last Mile Delivery

"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."

scholarly journals LOCAL DEPOT-BASED URBAN SUPPLY CHAIN FOR LIVEABLE CITIES

2020 ◽  
Vol 6 (159) ◽  
pp. 153-160
Author(s):  
A. Rossolov ◽  
O. Lobashov ◽  
A. Botsman
Keyword(s):  
Supply Chain ◽  
Delivery System ◽  
Carrying Capacity ◽  
Last Mile ◽  
Study Results ◽  
System Functioning ◽  
System States ◽  
Direct And Indirect Impacts ◽  
Indirect Impacts ◽  
Last Mile Delivery

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.

scholarly journals Research at the Intersection of Entrepreneurship, Supply Chain Management, and Strategic Management: Opportunities Highlighted by COVID-19

2020 ◽  
Vol 46 (8) ◽  
pp. 1330-1341 ◽  
Author(s):  
David J. Ketchen ◽  
Christopher W. Craighead
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Strategic Management ◽  
Entrepreneurial Orientation ◽  
Chain Management ◽  
Supply Chain Agility ◽  
Last Mile ◽  
Management Concepts ◽  
Optimal Distinctiveness ◽  
Last Mile Delivery

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.

A traveling salesman problem with time windows for the last mile delivery in online shopping

2019 ◽  
Vol 58 (16) ◽  
pp. 5077-5088 ◽  
Author(s):  
Li Jiang ◽  
Mohamed Dhiaf ◽  
Junfeng Dong ◽  
Changyong Liang ◽  
Shuping Zhao
Keyword(s):  
Traveling Salesman Problem ◽  
Online Shopping ◽  
Time Windows ◽  
Traveling Salesman ◽  
Last Mile ◽  
Last Mile Delivery

scholarly journals New model of flying sidekick traveling salesman problem with a charge-station

2017 ◽  
Author(s):  
◽  
Pengkun Zhou
Keyword(s):  
Transportation Cost ◽  
Traveling Salesman ◽  
Delivery Problem ◽  
Time Consumption ◽  
Consumption Data ◽  
Last Mile ◽  
A Charge ◽  
Last Mile Delivery ◽  
Future Work ◽  
First Time

Cooperation between a truck and a drone for last-mile delivery has been viewed as a way to help make more efficient ways of delivery of packages because of the great advantage of drones delivery. This problem was described and formulated a as FSTSP by Maurry and Chu. Because of the weakness concerning drones' batteries lifespan, this paper proposed a new delivery scenario in which a charge-station will be applied in the truck-drone delivery network to increase the performance of the last-mile delivery. This new delivery problem is formulated for the first time in this thesis as a multi-objective problem. The purpose of this is to address both transportation cost and total time consumption. Data analysis is conducted to explore the relation between factors and the overall objective. The analysis shows that a charge-station will significantly increase the performance of the last-mile delivery. Lastly, future work is discussed that will enhance the model even more and possibly lead to better ways to use drones for delivery.

Identification of Reptile Species Using Convolutional Neural Networks (CNN)

2020 ◽  
Vol 4 (5) ◽  
pp. 899-906
Author(s):  
Olvy Diaz Annesa ◽  
Condro Kartiko ◽  
Agi Prasetiadi
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Data Augmentation ◽  
High Accuracy ◽  
Knowledge Based ◽  
Python Programming Language ◽  
Reptile Species ◽  
Different Types ◽  
The Right ◽  
Python Programming

Reptiles are one of the most common fauna in the territory of Indonesia. quite a lot of people who have an interest in knowing more about this fauna in order to increase knowledge. Based on previous research, Deep Learning is needed in particular the CNN method for computer programs to identify reptile species through images. This reseacrh aims to determine the right model in producing high accuracy in the identification of reptile species. Thousands of images are generated through data augmentation processes for manually captured images. Using the Python programming language and Dropout technique, an accuracy of 93% was obtained by this research in identifying 14 different types of reptiles.  

A Process-Oriented Warehouse Postponement Strategy for E-Commerce Order Fulfillment in Warehouses and Distribution Centers in Asia

2017 ◽  
pp. 21-34 ◽  
Author(s):  
K. H. Leung ◽  
Stephen W. Y. Cheng ◽  
K. L. Choy ◽  
David W. C. Wong ◽  
H. Y. Lam ◽  
...  
Keyword(s):  
Supply Chain ◽  
Order Fulfillment ◽  
Logistics Industry ◽  
Knowledge Based ◽  
Logistics Service Providers ◽  
Last Mile ◽  
Postponement Strategy ◽  
Process Oriented ◽  
Logistics Process ◽  
Last Mile Delivery

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.

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