Production Logistics Research Articles

Influence of product quality and digital marketing on the performance of SMEs

This research explores the intricate dynamics between product quality, digital marketing strategies, and Small and Medium Enterprises (SMEs) performance. The study focuses on the entire population of 43 SMEs affiliated with the Representative Office of Bank Indonesia in South Sumatra Province in 2022. These SMEs benefit from comprehensive guidance provided by Bank Indonesia consultants and actively participate in mentoring programs spanning both conventional and Sharia SME schemes, reflecting a census-based sample selection. The findings derived from multiple linear regression analysis underscore a noteworthy positive and significant impact of product quality and digital marketing on SME performance. In a marketplace saturated with similar products in South Sumatra Province, SMEs must cultivate distinctive attributes that resonate with the local community, thus enhancing their competitive edge. Additionally, the geographical remoteness of SMEs from the city center emerges as a pivotal factor influencing their performance. This remoteness not only affects production logistics but also poses challenges to sales, thereby shaping the overall performance landscape of these enterprises. In essence, this research contributes valuable insights into the multifaceted relationship between product quality, digital marketing strategies, and the performance of SMEs, particularly those aligned with Bank Indonesia in South Sumatra Province.

Exploring the Digital Healthcare Product’s Logistics and Mental Healthcare in the Metaverse: Role of Technology Anxiety and Metaverse Bandwidth Fluctuations

This study is undertaken to investigate the effect of digital healthcare products’ logistics on mental healthcare in the metaverse along with taking into account the role of technology anxiety and metaverse bandwidth fluctuations. Due to the pressure brought on by serious diseases, growing healthcare costs, a rapidly ageing global population, insufficient labour elevated healthcare services, and scarce resources, it does not appear that the health system will be viable in the future. There is a need to be able to deliver health care from hospitals to our houses using cutting-edge technology rather than providing traditional health services using cutting-edge technology. The quantitative survey-based methodology has been used which indicates the targeted population as the staff in the healthcare sector. For this purpose, questionnaires were distributed among the targeted population and their response to 330 questionnaires out of 350 was evaluated using SPSS and AMOS. The results indicated a strong and significant relationship between digital healthcare products logistics and mental healthcare in the metaverse along with the significant moderation for both technology anxiety and metaverse bandwidth fluctuation. The management in various healthcare sectors is using digitalized approaches for carrying out the logistics. This has helped in reducing inefficiencies as well as improving accessibility. Senior managers in various healthcare sectors can keep track of the operations that are being carried out in the organization by using effective digital technologies. Such practices have revolutionized the healthcare system drastically. Other essential stakeholders, such as the patients, are also found to enjoy the benefits of the digital healthcare system as they have easy access to healthcare professionals as well as the required treatment and medicines contrary to the conventional healthcare system. For future studies, intrinsic factors such as motivation, as well as self-efficacy, could be taken as the mediating variables in the context of the current study for obtaining efficient results.

INOVAÇÃO E TENDÊNCIAS DE SUSTENTABILIDADE AMBIENTAL NA INDÚSTRIA DE FITAS ADESIVAS

The last few years have presented an optimistic scenario for the adhesive tape industry on international scale. However, producers are being challenged to keep their operational structure competitive. Market demands and regulatory requirements also add increasing pressure for more sustainable products and more efficient production logistics processes. In this context, the present work evaluates the state of the art in innovation and environmental sustainability trends in the adhesive tapesindustry. Such environmental sustainability evaluation comprehended water usage in production processes, use of renewable electricity, CO2 emissions, use of organic solvents, waste recycling from the production process and circular economy initiatives by the main producers in this industrial field. These indicators are those that have been worked on by companies in the market and are in line with studies being carried out in the academic field.

Economic issue of material reserves management taking into account probabilistic model

ObjectivesRunning a business effectively requires ensuring continuity and regularity of the activity. For this purpose, it is important to effectively and rationally manage inventories and maintain them at various levels of optimality.Material and methodsIn the paper a design of the probabilistic model of reserves is discussed. The objective was an elaboration of the optimal strategy of materials reserves management in the series manufacturing.ResultsThe model has been verified at an attainable scale using the numerical data concerning different assortment of materials in the serial production of furniture. The proposed probabilistic model makes it possible to elaborate the optimal strategy of type R, Z in the management of reserves of based materials of the manufacturing company with large-lot production. The strategy is based on minimal expenses connected with a supply of materials.ConclusionsFor each company to provide good quality services, it is necessary for individual, cooperating enterprises to function efficiently. The so-called "supply chain" is a specific sequence of activities enabling the satisfaction of market demand for a given product. The supply chain consists of companies and plants that are involved in supplying raw materials, processing them into semi-finished products and, ultimately, creating a finished product. The simplest supply chain consists of a company, suppliers and customers. However, it is good to know that many more companies are involved in most production processes, including transport, logistics, finance and IT.

Kazakhstani agricultural products: prospects for entering the Chinese market

China, being one of the world's largest food importers, has significant market opportunities for the Kazakhstani agro-industrial complex. In order to use this potential, the Republic of Kazakhstan is actively implementing measures and programs to stimulate and support the export of agricultural products. The goal is to study the features and prospects for the export of agricultural raw materials and food products to the PRC. As part of this study, the International Trade Center provided information to analyze the volumes and range of exported and imported food products and goods that were categorized in accordance with the Commodity Nomenclature of Foreign Economic Activity. Methods - descriptive statistics and index approach, allowing toidentify the main trends, quantitative changes and structural shifts in trade in food products of Kazakhstan with China and other countries. To determine the efficiency of production of various food products in the Republic of Kazakhstan relative to other countries, the Balassa index was used, measuring comparative advantage (RCA) in this area. Results - the authors note the positive impact of development of logistics, economic growth, market size and geographic proximity of Central Asian countries, including Kazakhstan, on formation of supply chains at different levels. However, to further modernize agri-food sector, a number of obstacles and risks need to be addressed: problems in production processes, processing and logistics, as well as technical and institutional constraints. Conclusions - improving the export strategy is crucial in shaping the national policy in the field of agriculture of the Republic of Kazakhstan in conditions of a mobilization economy: mitigating threats and risks, identifying internal resources to strengthen trade relations with the People's Republic of China.

Comprehensive evaluation for the sustainable development of fresh agricultural products logistics enterprises based on combination empowerment-TOPSIS method.

To solve the problems of environmental pollution and resource waste caused by the rapid development of cold chain logistics of fresh agricultural products and improve the competitiveness of logistics enterprises in the market, a performance evaluation method of cold chain logistics enterprises based on the combined empowerment-TOPSIS was proposed. Firstly, from the five dimensions of cold supply chain capacity, service quality, economic efficiency, informatization degree and development ability, a comprehensive evaluation system of logistics enterprises' sustainable development is constructed, which consists of 16 indicators, such as storage and preservation capacity, distribution accuracy, and equipment input rate. Then, G1 method and entropy weight method are used to calculate the subjective and objective weights of the evaluation indicators, and the combined weights are calculated with the objective of minimizing the deviation of the subjective and objective weighted attributes. Finally, the TOPSIS method is used to calculate the comprehensive evaluation indicators. The results show that the established performance evaluation model can effectively evaluate the performance of fresh agricultural products logistics enterprises and provide theoretical basis for enterprise logistics management.

Production logistics digital twins: Research profiling, application, challenges and opportunities

In the era of Industry 4.0, Production Logistic Digital Twins (PLDTs) have garnered remarkable attention from both academic and industrial communities. This is evident from the growing number of research publications on PLDTs in international scientific journals and conferences. However, given the diversity and complexity of production logistics activities, there is a pressing need for systematic literature review to chart past research and identify potential directions for future endeavors. Therefore, this study primarily focuses on the application of Digital Twins (DTs) in Production Logistics (PL). Firstly, an analysis of PLDTs research profiling is carried out based on general trends, keywords, application scenarios, and basic functions. Secondly, the functional characteristics of PLDTs are examined while summarizing their advantages and limitations across various application scenarios such as transportation, packaging, warehousing, material distribution, and information processing. And the roles played by smart technologies such as Internet of Things (IoT) in PLDTs system are discussed. Finally, possible challenges and future directions of PLDTs in industrial application are presented, accompanied by appropriate classification and extensive recommendations.

Simulation Study on the Policy of Coordinated Development of Agriculture and Agricultural Product Logistics in Sichuan Province

This paper utilises the system dynamics theory to develop a simulation model of the agricultural and agricultural product logistics system in Sichuan Province. The coordinated development policy of the agricultural and agricultural product logistics in Sichuan Province is analysed through simulation by adjusting the proportions of investment in the logistics industry, logistics information technology, and agricultural financial input. The study suggests that enhancing investments in logistics industry and logistics information technology leads to an accelerated development in the agricultural product logistics sector, ultimately promoting coordination between the agricultural economy and agricultural product logistics. Moreover, lowering agricultural financial input can lead to more rational allocation and utilization of resources, hence further advancing the coordinated growth of agriculture and agricultural product logistics.

Demand forecasting of cold-chain logistics of aquatic products in China under the background of the Covid-19 post-epidemic era.

In the background of the post-epidemic era, the consumption demand and market scale of cold chain logistics in China are expanding, but there is still an obvious gap with developed countries. To complete the balance between the supply and demand for aquatic products and the rational allocation of logistics resources and promote the rapid development trend of aquatic product cold chain logistics, it is particularly important to forecast and analyze the demand for aquatic product cold chain logistics. This article selects six main factors that affect the demand for aquatic products in cold chain logistics, uses the traditional grey model and the grey-BP neural network model to simulate and predict the demand for aquatic products in cold chain logistics in China from 2012 to 2021, and compares and analyzes the simulation results. Generally speaking, the demand for aquatic products from Chinese residents is on the rise. In the simulation prediction process, the prediction error of the grey-BP neural network is reduced compared to the traditional grey model, and the processing ability of the nonlinear system is ideal. The results show that the grey-BP neural network model is an effective method to predict the demand for cold chain logistics of aquatic products. Finally, suggestions are made on the future development of aquatic cold chain logistics in the post-epidemic era from the economic, social, and environmental aspects, which provide valuable decision-making reference for the development of marine aquaculture enterprises and cold chain logistics industry.

PRODUCTION OF ORGANIC GOODS OF THE RABBIT BREEDING AT DIFFERENT TECHNOLOGIES OF MAINTENANCE OF RABBITS

For the prospects of the rabbit breeding of present time optimal direction of development are individual and farmer economies, with the middle population of doe-rabbit. For the profitable conduct of the rabbit breeding except general principles of maintenance and growing, it is expedient to take into account the pedigree features of rabbits. Most distribution for the rabbit breeders of our country meat and hide of breed got: grey and white giants, butterfly, silvery, less popularity is used by the meat breeds of rabbits: New Zealand white and Californian.
 Main advantage of the rabbit breeding are an economy of areas and absence of capital apartments for growing of population of rabbits, in the modern rabbit breeding the systems of maintenance of rabbits are used in cages – outside, with the partial or complete process of mechanization: feeding and give to drink, moving away of wastes. At cellular maintenance of rabbits the most rational organization of works is provided on a supervision and reproduction. Cellular maintenance of rabbits gives an opportunity to carry out and control all processes and effectively to conduct veterinary and prophylactic measures. The table of contents of rabbits in cages provides a receipt from them of high-quality selfish products and carcass of kind fattened. For growing of different breeds of rabbits optimal economic indicators are the breeding of 30 female rabbits and more, at such population recoupment presents three years.
 The efficiency of management and high profitability of organic rabbit farms is ensured thanks to small capital investments in equipment and cages, early maturity and multi-fertility of rabbits, intensive growth of rabbits and rapid change of generations, obtaining products of high quality and quantity in a short time. The use of modern improved cage systems, high-quality feed and balanced rations for sexual age groups of rabbits allows to optimize the operating costs of the rabbit farm, and properly adjusted logistics of rabbit breeding products ensures constant profit at optimal profitability.

Cost optimization model design of fresh food cold chain system in the context of big data

The assessment of cold chain logistics for fresh products can be more precise with high-dimensional information data, providing valuable insights for the optimization of associated costs. Nonetheless, traditional data processing techniques fail to meet the processing efficiency required for such high-dimensional cold chain logistics data. Therefore, this paper proposes a spectral clustering algorithm based on the local standard deviation and optimized initial center, which comprehensively analyzes the fixed, transportation, refrigeration, and cargo damage costs of cold chain logistics. Additionally, this algorithm includes a variation operator based on clustering and introduces a large neighborhood search mechanism for optimizing the individual connectivity gene layer after selecting the gene layer site for variation. Simulation results demonstrate that the proposed algorithm exhibits better convergence in 15 iterations, reduces error rates, and significantly cuts down on the clustering process time. This ultimately leads to a reduction in the total cost of cold chain calculation.

Inventory Management with Demand Forecast for Eyeglass Lenses Using The Time Series Method at An Optical Store

In the healthcare sector, supply chain management is one of the most important elements since in the logistics of medical devices and pharmaceutical products, patient satisfaction is the main focus in efforts to improve service quality. One of the problems that often occurs in the optical supply chain is inventory control. The optical store is one of the microenterprises engaged in optometric health services. The enclosed supply chain is a three-echelon model, where the store is at the second level. The process of ordering lenses at the store from suppliers is not carried out based on predicted demand. The determination of the safety stock amount and the reorder point also still has a fairly low accuracy there. This is indicated by overstock and stock-out situations that still occur frequently in this company. Overstock causes the product to be damaged because it has been stored for too long and stock out causes lost sales. To solve the problem in this research, the prediction of future demand is overcome by using several time series methods, such as cyclical models, cyclical trend models, and ARIMA models. Forecasting result validation is implemented by calculating the calculation of errors using MAPE, MAD, and MSE then it was found that the forecasting model chosen to predict the demand for the lenses is a cyclical trend model. The result of the demand forecasting and safety stock size calculation with 3 service levels are used as input to determine the reorder point. After observing the condition of the company and the targets set by the company, the calculation results with a service level of 90% is the most possible to be implemented.

Implementation of Digital Entrepreneurs in Determining Tourism Village in Indonesia (Systematic Literature Review)

Digitalization by enterprises can improve production efficiency, processing, logistics, and adoption of new technologies so that technology integration enables the utilization of local and global economies and enterprise-level business models to be more productive and sustainable. The application of digital entrepreneurship principles is also carried out in determining tourism destinations in Indonesia. The purpose of this study is to look at a piece of writing about how to identify tourist villages through digital entrepreneurship. The source of the data was a compilation of publications that were published in reputable international scientific journals. This study's foundation is a series of inquiries, What topic is being discussed the most when it comes to tourist villages and digital entrepreneurship? The results showed that technology adoption, entrepreneurial attitude and the uniqueness of an object are factors that influence the formation of tourist villages. Technology adoption is the use of digital technology to inform the uniqueness of an object so as to encourage people to visit.

Robust and efficient task scheduling for robotics applications with reinforcement learning

Effective task scheduling can significantly impact on performance, productivity, and profitability in many real-world settings, such as production lines, logistics, and transportation systems. Traditional approaches to task scheduling rely on heuristics or simple rule-based methods. However, with the emergence of machine learning and artificial intelligence, there is growing interest in using these methods to optimize task scheduling. In particular, reinforcement learning is a promising task scheduling approach, because it can learn from experience and adapt to changing conditions. One step often missed or neglected is choosing optimal algorithm parameters and different ways the environment could be implemented. The study analyzes the performance possibilities of task scheduling using reinforcement learning. The deep analysis allows to select highly efficient environment models and Q-learning parameters. Moreover, automatic selection based on optimization algorithms has been proposed. Regardless of the selected optimal parameters, the resilience to environmental changes seems poor. The deducted analysis motivated the Authors to develop a novel Hybrid Q-learning approach. It allows to provide superior efficiency regardless of the environmental parameters.

Industry 4.0 Driven Green Supply Chain Management in Renewable Energy Sector: A Critical Systematic Literature Review

This paper is aimed at systematically reviewing the literature on the interface of Green Supply Chain Management (GSCM), Industry 4.0 and renewable energy. The aims of this review are to ascertain current state of the art in GSCM practices, to critically examine the role of industry 4.0 technologies in GSCM adoption, to examine sustainability and supply chain issues within the renewable energy sector, and to critically discuss tackling these issues using industry 4.0 driven GSCM. A total of 215 review and empirical papers from 2004 to 2023 gathered from three databases (ScienceDirect, Scopus and Web of Science) were reviewed. This research found several GSCM practices and succinctly categorized those based on their respective positions along any given value chain. The practices were categorized as related to: procurement and sourcing, product design, corporate relationship, organizational structure/strategy, logistics and transportation, waste and pollution management and manufacturing. We have found that the ten most mentioned GSCM practices are: Green purchasing, Eco-design, Cooperation with customers, Internal Environmental Management, Reverse logistics, Investment recovery, Green manufacturing, Green design, Collaboration with suppliers and Remanufacturing. Various Industry 4.0 technologies including blockchain, Internet of Things, Big Data and Artificial Intelligence were identified and their role in successful GSCM implementation is highlighted. Sustainability and supply chain related challenges within the renewable energy supply chain were found that include material sourcing and end-of-life management challenges. Finally, a perspective is given on the role of Industry 4.0 driven GSCM in tackling the renewable energy supply chain and sustainability challenges. This article concludes with a presentation of managerial implications and future research directions for managers within different sectors, especially the renewable energy industry.

Research on the Development Problems and Strategies of Agricultural Products Logistics under the Background of Rural Revitalization—Taking Lianjiang Red Orange as a Case

Since 2014, the Report on the Work of the Government has mentioned “express delivery” for 10 consecutive years, which indicates the development direction of the express industry. In 2023, the Report on the Work of the Government also specifically mentioned the need to “improve the rural express logistics distribution system”. Improving the rural logistics system is an important measure to promote industrial upgrading, rural consumption, and rural revitalization.China is a major agricultural country, with grain production, cotton production, and tea production ranking first in the world. In recent years, the agricultural product logistics industry has also experienced rapid development. However, the overall development level of the current agricultural product logistics industry is relatively low, manifested in outdated logistics concepts, insufficient application of advanced logistics technology, relatively backward cold chain logistics technology, and a lack of professional logistics talents. These factors constrain the development of agricultural product logistics. Therefore, this article takes the agricultural product of Lianjiang Red Orange as the research object, analyzes the current development status and problems of agricultural product logistics, and proposes corresponding countermeasures and suggestions to improve the development of agricultural product logistics through analysis. The aim is to provide reference for the development of agricultural product logistics in Lianjiang City and provide strong impetus for comprehensively promoting rural revitalization.

Analytical framework for planning water reuse in the food industry with application to a cheese production case study

Global water scarcity is becoming an increasingly pressing environmental concern. With FAO reports showing that 70% of water consumption is related to agriculture, and an additional 20% to industrial use, it is clear that the food industry needs to manage its water usage efficiently. Increased reuse and recycling of effluent water in food processing is an important part of this. However, several challenges related to product quality, logistics, legislation, and implementation prevent many companies from doing so. We present an analytical framework to minimize freshwater usage and maximize water reuse within the context of production planning. We identify several theoretical principles behind efficient water usage and combine these with insights from previous literature. The resulting framework is specifically aimed as the basis for easy-to-use analytical tools. Applying our framework to a cheese production case study with water recovered from whey, we demonstrate freshwater savings of over 67%. We also derive various insights to guide managers on setting the right targets for their water reuse planning. In general, the framework supports the identification of potential water savings achieved by short-term changes to production plans as well as long-term changes to water reuse infrastructure.

Manufacturing task data chain-driven production logistics trajectory analysis and optimization decision making method

Manufacturing task data chain-driven production logistics trajectory analysis and optimization decision making method

Casting, Music, and Logistics in The Harder They Come : A Conversation with Robert Russell

Abstract: Robert "Bobby" Russell was in his early twenties when he began working with Perry Henzell producing cinema and television commercials in the 1960s. As an assistant director of The Harder They Come (dir. Perry Henzell, 1972, Jamaica), his job was to identify and recruit talent, procure props, and attend to production logistics, among other tasks. In this interview, Russell discusses the cultural and political climate that served as a backdrop to the production of the film as well as the challenges and triumphs he experienced. He also details his career that followed in film production, hospitality, and entertainment.

Construction of Agricultural Products Logistics Network in Hebei Province Based on Improved Gravity Mode

Solving the problems of “agriculture, rural areas” has always been the top priority of national development work and the focus of social attention. Logistics, as the “third source of income”, can give full play to the role of logistics to enable agricultural products to obtain higher returns in the case of high production. In the context of the increasing demand for high-quality life, it is particularly important to reduce the consumption of agricultural products in the transportation process and ensure the quality of fresh agricultural products. A reasonable logistics network system can effectively reduce costs, save manpower and promote the increase of farmers’ income. Based on the research of factor analysis and gravity model, this paper adopts 11 prefecture-level cities in Hebei Province as research samples, and studies the economic development level of each city in Hebei Province, the scale and level of logistics industry development, the demand degree of agricultural products, and the supply degree of agricultural products as four indicators, and constructs a regional agricultural product logistics quality index system. The logistics quality and logistics gravity of agricultural products were calculated, the results of the model were graded, the regional logistics network of agricultural products was drawn and analyzed based on the logistics gravity strength, and some suggestions were put forward to improve the development of regional logistics network of agricultural products. Based on this, this paper believes that only by vigorously developing the construction of agricultural logistics network system can agriculture get better development, and in promoting the development of agriculture, it can optimize and upgrade the local logistics infrastructure and drive the regional economic development.