Hasil untuk "Regulation of industry, trade, and commerce. Occupational law"

Ioana Iorga, Cicerone Laurentiu Popa, Constantin-Adrian Popescu et al.

<i>Background</i>: Integrating Radio Frequency Identification (RFID) technology into storage areas within the wiring harness manufacturing industry enables real-time component traceability and supports the implementation of fully automated inventory processes. While RFID systems provide continuous data regarding component type, quantity, and location, periodic inventory validation is still required to verify and correct records in the warehouse management system. <i>Methods</i>: This study examines the feasibility of passive ultra-high-frequency (UHF) RFID technology for automatic inventory management in a components warehouse. It also reviews relevant scientific literature on autonomous RFID signal measurement and Synthetic Aperture Radar (SAR)-based localization methods, which are subsequently adapted for inventory applications. An experimental setup is developed to characterize the reading field, hysteresis effects, and the influence of distance and tag orientation on detection performance. <i>Results</i>: The findings indicate that RFID-based automatic inventory is achievable with high accuracy and stability, especially when tag trajectories correspond to areas of high detection probability and antenna polarization is optimally configured. <i>Conclusions</i>: The proposed RFID-based system can be implemented with minimal hardware changes and low investment, thereby improving stock accuracy, traceability, and operational efficiency in automotive component logistics.

Ali Görener

<i>Background:</i> In today’s business world, where competition lies between supply chains, customer expectations are changing dynamically. Effective order picking in warehouses has become a top concern given expectations for rapid delivery, a larger product range, and continuous support. <i>Methods:</i> In this study, it is aimed to find a simultaneous solution to the problems of picker routing and order batching, which have an important place in order picking. A genetic algorithm-based solution with group-based coding is proposed to minimize the travel time of pickers. <i>Results:</i> A new set of equations for rectangular warehousing systems with three or more blocks (multi-blocks) is presented to directly determine the shortest distances between order points. It is found that the proposed solution methodology gives better results than traditional approaches. <i>Conclusions:</i> The study is expected to contribute to the improvement of order picking, which is the most costly and repetitive activity in warehouses, within the scope of practical and academic applications.

Hareer Fatima Ahmed, Amin Hosseinian-Far, Dilshad Sarwar et al.

<i>Background</i>: The dynamics of supply chain networks have changed due to increasing complexities. Global expansions and knowledge transfer in supply chain networks bring efficiency and effectiveness to companies. However, the probability of supply chain complexity has also been seen increasing. The barriers to sustainable supply chain networks need to be tackled in an effective manner as they impact business operations. Therefore, it is essential to eliminate and reduce the supply chain complexities, as it will facilitate the process of knowledge transfer and increase the implementation of sustainable practises in supply chain networks. In the previous research, four supply chain complexity drivers were identified. Previous research identified four supply chain complexity drivers by conducting a systematic review. This study investigates which of the four complexity drivers impacts knowledge transfer in the context of the food supply chain sector. <i>Methods</i>: In this research, knowledge transfer is therefore examined from the perspective of sustainable food supply chains. Thirty exploratory qualitative interviews were conducted in this study and analysed using Nvivo (v12) software. This study utilised thematic analysis techniques for the evaluation of the interviews to gather results. <i>Results</i>: The results illustrated six main factors classified under broad categories: integration of Knowledge Transfer, incorporation of technological advancements in supply chain networks, supply chain complexity solutions, supply chain complexity drivers, sustainable supply chain networks, and capability to reduce supply chain complexity. The findings of this study highlight that process complexity significantly influences the process of knowledge transfer in food supply chain networks. The research findings contribute to both academic and practical domains. This study contributes to the aggregation of supply chain complexity and its impact on Knowledge Transfer. Additionally, the findings support supply chain networks, which strive to achieve efficient Knowledge Transfer to attain sustainable value in business operations. <i>Conclusion</i>: This study has proven that robust knowledge transfer reduces supply chain complexity as it makes supply chain systems more resilient and well-coordinated in many potential ways.

Ilias Alexandros Parmaksizoglou, Alessandro Bombelli, Alexei Sharpanskykh

<i>Background:</i> Increased maritime trade has led to a surge in drayage operations, causing congestion and environmental issues in port areas. Truck Appointment Systems (TASs) are commonly used to manage truck arrival rates, yet transparency and equity in slot allocation remain problematic, fostering distrust between Licensed Motor Carriers (LMCs) and Marine Terminal Operators (MTOs). <i>Methods:</i> This study proposes a polycentric approach to improve truck scheduling and ensure that those impacted by decisions are involved in the decision-making process. A single-round auction mechanism focused on optimizing the truck hauling process through a pricing policy that promotes sincere bidding is introduced. The proposed approach employs an optimization strategy to achieve equitable coordination in truck synchronization through means of adaptable capacity management. <i>Results:</i> Numerical experiments assessing scenarios of noncollaborative behavior against partial collaboration between MTOs and LMCs demonstrate the effectiveness of the proposed approach in enhancing user satisfaction and terminal conditions for a case study focused on a medium-sized terminal. Collaboration between trucking companies is shown to increase utility per monetary unit spent on slot acquisition. <i>Conclusions:</i> The polycentric strategy offers a solution to TAS limitations by ensuring stakeholder participation with respect to flexibility and transparency by ensuring that those impacted by decisions are involved in the decision-making process.

Xue-Ming Yuan, Anrong Xue

Industry 4 [...]

Giscard Valonne Mouafo Nebot, Haiyan Wang

The journal <i>Logistics</i> retracts the article “Port Terminal Performance Evaluation and Modeling” [...]

Thiago de Carvalho Verano, Carlos de Melo e Silva Neto, Gabriel da Silva Medina

<i>Background</i>: Family farmers’ access to markets is key for rural development. This study seeks to assess to what extent short and long marketing channels promote or inhibit the commercial inclusion of family farmers. <i>Methods</i>: The research was conducted in the Brazilian state of Goiás through questionnaires and interviews with rural outreach agents and family farmers’ leaders. <i>Results</i>: The results reveal that 31.28% of sampled farmers are not included in any marketing channel. High inclusion rates in long channels (such as commodity markets) are related to high inclusion rates in short channels (such as farmers’ markets), with some regions having greater availability of marketing channels than other regions. <i>Conclusions</i>: The high participation of family farmers in long channels linked to the cattle supply chain and agricultural commodities is related to the low participation of this category in other channels. Such results provide lessons for public policies by demonstrating the need to encourage a greater diversity of both short and long channels to greater marketing opportunities for family farmers.

Raquel Soriano-Gonzalez, Elena Perez-Bernabeu, Yusef Ahsini et al.

<i>Background</i>: This article identifies and examines key performance indicators (KPIs) related to citizen mobility logistics in smart and sustainable urban areas. It begins with a comprehensive literature review to identify essential KPIs, offering valuable insights for both public and private stakeholders, including policymakers and mobility service providers. Drawing from various mobility projects in smart cities, the study extracts common KPIs and best practices. The focus of the paper then turns to Barcelona, Spain, where KPIs that matter most are analyzed. <i>Methods</i>: Using open data from the city council spanning from 2017 onwards, the study provides insights into the evolving mobility logistics landscape. KPIs from other European cities are also considered by utilizing similar open data sources. This comparative analysis provides valuable benchmarks and reveals disparities in mobility logistics. Throughout this investigation, the paper emphasizes the role of data quality in KPI selection. <i>Results</i>: Reliable open data significantly influence indicator choices and present challenges when comparing cities. Remarkably, the findings consistently highlight environmental data as an area requiring attention in sustainable mobility logistics. <i>Conclusions</i>: This paper makes contributions by identifying and examining KPIs relevant to citizen mobility logistics in smart and sustainable urban areas. It offers insights by applying these KPIs to Barcelona and conducting comparative analyses with other European cities. These findings serve as a valuable resource for policymakers, city planners, and mobility experts.

Logistics Editorial Office

High-quality academic publishing is built on rigorous peer review [...]

Hokey Min

<i>Background</i>: The unprecedented supply chain disruptions caused by the prolonged COVID-19 pandemic forced many firms to change their way of doing business dramatically. These changes include quickly responding to the growing demand for online orders and the corresponding direct shipments to customer locations. These changes have been further accelerated by rapid technological innovations resulting from the fourth industrial revolution (Industry 4.0). One of the most notable technological transformations that we have witnessed is the growing popularity of smart warehousing concepts. Although smart warehousing may represent a wave of the warehousing future, the published literature rarely documents its underlying principles, specific application targets, and potential impacts on supply chain performance. This research aims to identify key drivers of the digital warehousing revolution and describe important value propositions for warehousing automation. <i>Methods</i>: To help companies develop smart warehouses successfully as an integral part of a supply chain link, I conceptualize an ideal smart warehousing system, design its basic architecture, propose specific milestones for monitoring the progress of smart warehouse development, and then, identify critical success factors for its full utilization in today’s volatile warehousing environment. This paper employed qualitative content analysis to conceptualize smart warehousing development and establish a smart warehousing framework. <i>Results</i>: A smart warehouse will bring many managerial benefits, including warehousing cost efficiency, labor productivity, and agility in the era of the knowledge economy. <i>Conclusions</i>: This paper will enable companies to accelerate digital transformation and improve their competitiveness amid the post-pandemic industrial revolution.

Samaneh Shiri, Nathan Huynh, Daniel Smith et al.

<i>Background</i>: An increasing number of container and chassis staging, “dray-off”, drop yard, and depot facilities are being established outside of North American marine container terminals. The increased use of these “second-tier” facilities implies that there must be some capacity, delivery time, service, or reliability benefit that offset the additional cost and complexity. <i>Methods</i>: This paper builds on the previously developed integrated drayage scheduling model to determine the impact of second-tier port facilities on drayage operation. It modifies the previously developed model by incorporating the following features: (1) trucks do not have to wait at customers’ locations during the import unloading and export loading operations; (2) drayage operations can include a drop yard (i.e., second-tier facility) for picking up or/and dropping off loaded containers outside the marine container terminal; and (3) a customer is allowed to request any of the following jobs: pick up an empty container, pick up a loaded container, drop off an empty container, and drop off a loaded container. <i>Results</i>: The results indicated that by moving the location of import pickup and export delivery from inside the marine container terminal to a location outside the terminal, the efficiency of drayage operation could increase. Additionally, when import pickup and export delivery take place inside the marine container terminal, the most efficient location for the chassis yard and empty container depot is inside the terminal. However, when the location of import pickup and/or export delivery are outside the terminal, the most efficient location for the chassis yard and empty container depot is also outside the terminal. <i>Conclusions</i>: The modeling results suggest that in addition to adding reserved capacity for marine terminals or as buffers to reconcile the preferred delivery times of importers, the second-tier facilities could also yield operational savings. However, the potential drayage efficiencies depend heavily on shorter queuing and turn time at these less-complex facilities compared to marine container terminals. Lastly, the modeling results suggest that the observed evolution of North American marine container terminals from self-contained entities into multi-tier systems is likely to continue to add additional capacities to accommodate container trade growth. This finding has important implications for regions and communities concerned over the impact of growing container ports.

Ieva Meidute-Kavaliauskiene, Bülent Yıldız, Şemsettin Çiğdem et al.

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.

Cheng-An Tsai, Tien-Hwa Ho, Jyh-Shyan Lin et al.

The COVID-19 pandemic has severely affected the world’s manufacturing industry, particularly in terms of the continued increase in logistics costs that has led to an increase in business operating costs. This study proposes a two-stage model for evaluating the most appropriate outsourcing logistics companies for a manufacturing factory. In the first stage, a modified Delphi method was used to recruit experienced experts to determine criteria for evaluating outsourcing logistics vendors and establish a hierarchical structure. In the second stage, the analytic hierarchy process (AHP) was used to evaluate suitable logistics companies based on the hierarchical structure. Finally, a case study was conducted to demonstrate the suitability of the two-stage model for evaluating outsourcing logistics companies for reducing logistics costs while maintaining service quality. The proposed model can be used as a basis for evaluating outsourcing logistics companies.

Rodrigo Maciel Cabral, Daniel Castanha de Freitas

The 4th Industrial Revolution led the world to experience technological transformations in a significantly fast pace. As a result of this movement, the Fundamental Right to Education has also undergone modifications: with the emergence of pieces of software for managing educational institutions and school activities and an increasing possibility of access to didactic contents, the proposal to replace the traditional learning model by distance learning has also emerged. However, regulations about the subject in the Brazilian legal system are sparse and inconsistent. Because of that, there is a massification of education due the economic interest of private institutions that choose to invest in this new type of education, also considering that they will benefit from lowering costs. The expansion of distance learning comes up against the lack of universalization of the technology itself, considering that the inequality of positions is evident when it comes to the access to technologies that are required for attending distance learning. Although the objective of distance learning is the universalization of education, the mismatch between regulation agent and technological innovations allows for verifying the non-fulfillment of the purpose, jeopardizing the fundamental right to education with quality, regardless of the economic exploration of the public service.

Hamidreza Behroozizad

One of the crucial reasons for proving a claim, especially in the field of property in Imami jurisprudence and Iranian law, is the Presumption of Possession rule. In this article, we have tried to prove expand the domain of this rule to genealogy and deviations using a library method. The arguments that prove this are both narrated arguments, including narrations and rational arguments, including the construction of reason. Therefore, just as narrations and the construction of reason can prove the rule of presumption of position in the property, we can also transmit the arguments to genealogy and deviations. Expanding the Presumption of Possession rule to the medical new technologies such as surrogacy and the artificial womb is also discussed. Also, in many cases that the Farash Rule cannot apply, the Presumption of Possession rule may apply. We proposed that Article 35 of the Civil Code amended as follows: " Possession by the title of ownership shall be taken as proof of ownership, and also in deviations and genealogy unless the contrary proved. "

Philipp Robert, Prause Gunnar, Meyer Christopher

The Baltic Sea Region (BSR) stands for a flagship maritime region in Europe with dominating SME sector. Nevertheless, compared with other European regions, the cooperation and promotion activities of companies that belong to the Blue Economy in South Baltic Sea Region (SBSR) are not sufficient. As a response to this, the EU-project INTERMARE South Baltic aims to support the maritime economy in the SBSR by the creation of a network of companies and stakeholders.

Carolina Zancaner Zockun, Maurício Zockun

O presente artigo visa a analisar as condições para implantação de uma plataforma digital governamental para compras públicas. O regime jurídico das contratações públicas para compras rotineiras é examinado sob a perspectiva de sua (in)aplicabilidade ao e-Marketplace, destacando as vantagens e desvantagens deste novo instrumento, bem como os atuais obstáculos técnicos e jurídicos para sua concretização.

Wagale Makrand, Singh Ajit Pratap

One of the key elements for rural development is the connectivity using proper roads, which enhances the passage for economic and social utilities with overall socio-economic development. Socio-economic impact assessment (SEIA) forms one of the significant measures to evaluate the outcome received through infrastructure development in rural areas. SEIA modeling under computational intelligence coupled with fuzzy framework provides significant ground to deal with both qualitative and quantitative data. This study proposes a novel methodology by using Adaptive Neuro-Fuzzy Inference System (ANFIS) with Fuzzy Delphi method (FDM) to evaluate socio-economic impacts. The effectiveness of the methodology is presented through a case study for 27 habitations connected with all-weather rural roads constructed under Pradhan Mantri Gram Sadak Yojana (PMGSY) scheme in Jhunjhunu district of Rajasthan State, India. 33 key-parameters under five different criteria are considered for SEIA. For a comprehensive view of the impacts, the results are depicted using ArcGIS tool.

Mehmet Talha Dulman, Surendra M. Gupta

Sensors are commonly employed to monitor products during their life cycles and to remotely and continuously track their usage patterns. Installing sensors into products can help generate useful data related to the conditions of products and their components, and this information can subsequently be used to inform EOL decision-making. As such, embedded sensors can enhance the performance of EOL product processing operations. The information collected by the sensors can also be used to estimate and predict product failures, thereby helping to improve maintenance operations. This paper describes a study in which system maintenance and EOL processes were combined and closed-loop supply chain systems were constructed to analyze the financial contribution that sensors can make to these procedures by using discrete event simulation to model and compare regular systems and sensor-embedded systems. The factors that had an impact on the performance measures, such as disassembly cost, maintenance cost, inspection cost, sales revenues, and profitability, were determined and a design of experiments study was carried out. The experiment results were compared, and pairwise t-tests were executed. The results reveal that sensor-embedded systems are significantly superior to regular systems in terms of the identified performance measures.

Aksenov Alexey Y., Kuleshov Sergey V., Zaytseva Alexandra A.

The paper considers an approach for application of computer vision systems to solve the problem of unmanned aerial vehicle control. The processing of images obtained through onboard camera is required for absolute positioning of aerial platform (automatic landing and take-off, hovering etc.) used image processing on-board camera. The proposed method combines the advantages of existing systems and gives the ability to perform hovering over a given point, the exact take-off and landing. The limitations of implemented methods are determined and the algorithm is proposed to combine them in order to improve the efficiency.