• Journal of the Korean Society of Safety
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• v.38 no.2
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• pp.52-59
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• 2023

Due to the routine nature of social distancing in accordance with the COVID-19 pandemic, the logistics industry is under rapid development, given that offline demand is focused on online platforms. The number of warehouse workplaces and workers are steadily increasing per annum, and the industrial accident rate of transportation, warehouse, and telecommunication industries to which warehouse employees belong is higher than the total industrial accident rate in Korea. In previous studies, warehouse workers reported exposure to health hazards such as musculoskeletal disorders due to the handling of heavy objects and improper working postures. Accordingly, in this study, a survey was conducted to investigate symptoms of musculoskeletal disorders with focus on parcel delivery workers nationwide. The questionnaire included a musculoskeletal disorder symptom survey table to identify information such as worker occupational history, work type, and signs or symptoms of musculoskeletal disorders. Survey response data from 453 people were obtained to determine the influence of delivery business characteristics on occupational musculoskeletal disorders, and the influencing factors were analyzed. Based on the results, in the analysis of pain with respect to body part, the duration, degree, and frequency of pain were highest in the leg part, and as a result, the average value for the leg part exhibited a significant difference from those of other body parts. In addition, 52.32% of workers exhibited symptoms of musculoskeletal disorders, and a high number of patients with musculoskeletal disorders was observed in the work group with less than three years of service and with ages ranging from 30-39. The results of this study can serve as basic data for the derivation of a management plan that meets the characteristics of musculoskeletal disorders that impact logistics workers overburdened with work due to the rapid increase in parcel delivery volume in accordance with an increase in online consumption.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.155-161
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• 2021

The purpose of this study is to understand the causal relationship between the safety behavior of delivery man and safety awareness, work environment, and occupational stress, to derive factors for enhancing safety behavior, and to manage them with priority. It seeks to provide basic data on the factors. In this study, with the help of a community site for delivery man, we conducted a questionnaire survey of a total of 119 delivery man working at distribution centers. Questionnaires were created using safety behavior, safety awareness, work environment, and occupational stress measurement tools created using survey questions from other studies. As a result of the analysis, there was a significant difference between safety education and the experience of accidents associated with working period. In addition, there was a significant correlation between safety behavior due to conflicts related to occupational stress, safety awareness and safety behavior, and safety behavior due to the safety system in the work environment. As a result, we investigated whether it was an accident and the factors that influence safety behavior, and concluded that appropriate improvements were needed.

• East Asian Journal of Business Economics (EAJBE)
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• v.6 no.2
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• pp.14-27
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• 2018

Purpose - The purpose of this study is to analyze the effect of 'delivery service quality' of online fresh food shopping malls on 'e-satisfaction' and 'repurchase intention' of online customers. Research design, data, and methodology - To demonstrate the relationship between the delivery service quality of online fresh food shopping mall and the e-customer satisfaction and repurchase intention, the research model was designed with 5 sub-factors (promptness, accuracy, economy, safety, information) based on the contents of previous studies. The data collection is conducted with sampling survey. The participants are customers who have visited, purchased and received their orders within the last 6 months in online fresh food shopping malls. This study analyzed collected data, then confirmed and finalized the hypothesis by using IBM SPSS Statistics 21.0 statistical program. Results - Hypothesis 1: The service quality of online fresh food shopping mall will have a statistically significant effect on online customers' e-customer satisfaction. Hypothesis 2: The service quality of online fresh food shopping mall will affect the repurchase intention of online customers. Hypothesis 3: The e-customer satisfaction of online fresh food shopping mall will have a statistically significant effect on repurchase intention. Among the 5 sub-factors (promptness, accuracy, economy, safety, information) of delivery service quality, three factors such as promptness, accuracy, and safety have stronger influence on e-satisfaction and repurchase intention of online customers. Conclusions - This study has proven the feasibility and viability of the hypotheses that 1) The excellent delivery service quality of an online fresh food shopping mall primarily affects e-customer satisfaction; and that 2) Ecustomer satisfaction will secondarily serve to improve repurchase intention.

• Journal of the Korea Safety Management & Science
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• v.24 no.1
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• pp.1-9
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• 2022

The growth of the online market is accelerating due to the development of technology and the pandemic era. The delivery service through the courier must be used to deliver the ordered goods to the customer through the online market. With the growth of the online market, the logistics market for delivery is also growing. The traffic and environmental problems are emerging as social issues. Urban logistics technology using underground space based on the urban railway developed to improve logistics efficiency in a metropolitan area and a new alternative to environmental problems. This study proposed a plan to secure system safety through safety analysis based on operational concept definition and scenario analysis by applying model-based perspective analysis to the system under development.

• Journal of the Korea Safety Management & Science
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• v.15 no.2
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• pp.193-204
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• 2013

The growing logistics strategy of a company is to optimize their vehicle route scheduling in their supply chain system. It is very important to analyze for continuous pickups and delivery vehicle scheduling. This paper is a computational study to investigate the effectiveness of continuous pickups and delivery vehicle routing problems. These scheduling problems have 3 subproblems; Inbound Vehicle Routing Problem with Makespan and Pickup, Line-haul Network Problem, and Outbound Vehicle Routing Problem with Delivery. In this paper, we propose 5 heuristic Algorithms; Selecting Routing Node, Routing Scheduling, Determining Vehicle Type with Number and Quantity, and Modification Selecting Routing Node. We apply these Algorithms to S vehicle company. The results of computational experiments demonstrate that proposed methods perform well and have better solutions than other methods considering the basic time and due-date.

• Journal of the Korea Safety Management & Science
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• v.19 no.3
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• pp.129-135
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• 2017

The respective delivering vehicle loaded with the own cargo moves into the respective delivery area. At the base, the delivery points D1 and D2, for example, have the same starting point but the destination is different. The average delivering time of the delivery vehicle is mostly more than 8 hours a day. Therefore, the efficiency of delivery is generally low. In this study, the deliveries will be forwarded from a base station to a delivery point where cross docking will be applied to a single vehicle, and will be distributed from the cross docking point through cross docking. If the distribution is implemented, one vehicle will not have to be operated from the base to the cross docking point. In that case, logistics cost will be reasonably saved by the reduction of transportation cost and labor time. If one vehicle only runs from the base to the cross docking point, each vehicle will be operated in two shifts, and the vehicle operation can be efficiently implemented. This research model is based on the assumption that the 3 types of ratios between the traffic volume of the vehicles starting at the base and the vehicles waiting at the cross docking point are set to the first ratio of 30% to 70%, the second ratio of 50% to 50% and the final ratio of 70% to 30%. As a result of the study, The delivery time in the cross docking point is much higher than that in present on the condition that the cargo volume in the D2 area is more than 50%. Likewise, the delivery time is slightly higher on the condition that the cargo volume is less than 50%. Time is reduced in terms of 50% model like AS-IS model.

• Safety and Health at Work
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• v.11 no.4
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• pp.533-536
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• 2020

Strengthening of the health system is a safety imperative, especially in a crisis as caused by the ongoing COVID-19 pandemic. While there is a need for enhancing the number and skill sets of the public health professionals, especially the frontline workers, it will be prudent to use the digital health technologies, including artificial intelligence, in enhancing the capacity of the healthcare professional education and delivery. However, it has to be ensured that an ethical and safe approach is adopted to develop and use digital health technology and, ethically appropriate training is imparted, to enhance the capacity of the human resources for health, leading to an overall health system strengthening.

• Journal of Information Technology Services
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• v.16 no.2
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• pp.129-138
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• 2017

This paper is concerned with an Internet of Things (IoT)-based unmanned home-delivery box system, in which the system is developed with a prototype using a weight sensor, shock sensor, the Arduino and Raspberry-Pi of open-source hardware platforms. The developed system provides several functions such as a safe storage means, prevention of delivery-theft, and remote control of the home-delivery box, etc. Specifically, the system recognizes the arrival of goods by detecting the weight of deliveries and sends the arrived message of deliveries to the recipient' smartphone, and also controls (i.e., open and close) the locker of the unmanned home-delivery box system remotely with the smartphone. Furthermore, the developed system provides automatically a warning alarm around the unmanned home-delivery box when an external shock is applied to the home-delivery box, and sends a message on the shock to the recipient' smartphone. The major functions of the developed home-delivery box system have been verified in a realistic environment, and confirmed to work well. With the application of the developed home-delivery box system to the homes and offices where recipients are always not to stay, it is expected to significantly improve the safety of delivered goods as well as to effectively prevent the delivery operatives posing as a crime.

• Journal of the Korea Safety Management & Science
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• v.12 no.1
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• pp.113-118
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• 2010

"Domestic delivery service" is defined the service to deliver goods or packages from point of senders to point of receiver. With the characteristics of door to door, it is must a service provider should know the exact location of destination assuring best utilization of moving path. Generally, location information consist of postal code and address only, which result in difficulties to identify the precise location of destination. It is relatively less correlated between the information that address refers and practical location in Korea address system. For example, the next door to house number 100 is not always house number 101. Therefore, a delivery man additionally uses a paper map or a GPS navigation which carry extra job to input every code of location to the device in order to know precise location. It is also very inconvenient that every delivery man identify the location that address information refers and make a personal decision of the optimum moving path dropping each destination without calculating provisioning process of whole delivery path. As explained above, it is inefficient to find information delivery service required and to generate the optimum path. In results, these difficulties bring in delay of service and increase of cost. In this point, the contents of the thesis suggest a GPS navigation system easy to obtain accuracy of delivery information which enables to automate optimum moving path based on RFID which contains location information.

• Journal of Pharmaceutical Investigation
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• v.40 no.spc
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• pp.33-43
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• 2010

Hyaluronic acid (HA) is a biodegradable, biocompatible, non-toxic, non-immunogenic and non-inflammatory linear polysaccharide, which has been used for various medical applications including arthritis treatment, wound healing, ocular surgery, and tissue augmentation. Because of its mucoadhesive property and safety, HA has received much attention as a tool for drug delivery system development. It has been used as a drug delivery carrier in both nonparenteral and parenteral routes. The nonparenteral application includes the ocular and nasal delivery systems. On the other hand, its use in parenteral systems has been considered important as in the case of sustained release formulation of protein drugs through subcutaneous injection. Particles and hydrogels by various methods using HA and HA derivatives as well as by conjugation with other polymer have been the focus of many studies. Furthermore, the affinity of HA to the CD44 receptor which is overexpressed in various tumor cells makes HA an important means of cancer targeted drug delivery. Current trends and development of HA as a tool for drug delivery will be outlined in this review.