Journal articles on the topic 'Inventory and distribution logistics'
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Li, Xiaoli. "Application of Collaborative Optimization in Urban Fresh Product Logistics Inventory and Distribution System." Scientific Programming 2022 (September 9, 2022): 1–14. http://dx.doi.org/10.1155/2022/4516499.
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People’s requirements for material needs and living standards are gradually increasing, and consumers’ demand for fresh, fruit, and vegetable cold chain foods is also increasing. This paper takes urban fresh agricultural products cold chain logistics as the research object, establishes a collaborative optimization model of urban fresh agricultural products cold chain logistics inventory and distribution based on distribution centers, proposes a partitioning solution strategy for the multidistribution center problem, and proposes a collaborative optimization in urban fresh agricultural products logistics inventory and distribution system. The application of collaborative optimization in urban fresh product logistics inventory and distribution system is proposed.
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Dachyar, Muhammad, Yadrifil Yadrifil, and Idrus Fahreza. "INVENTORY MANAGEMENT DESIGN FOR A RAPID DISASTER RELIEF, TOWARDS INTERNET OF THINGS (IOT) POTENTIAL." EUREKA: Physics and Engineering 6 (November 30, 2019): 9–18. http://dx.doi.org/10.21303/2461-4262.2019.001079.
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All victims in a disaster situation need rapid assistance, yet in some cases this goal not accompanied by an ideal recording system on their logistic inventory management. This study aims to achieve inventory management systems for disaster logistics and their delivery in a fast response time and to create a rapid disaster relief distribution process through the implementation of Internet of Things (IoT). In disaster management agencies, the Business Process Reengineering (BPR) approach and IoT implementation are used. The proposed model resulted in a 44.92 percent increase in the time efficiency of logistical relief distribution, which previously took 64.34 hours to 35.44 hours.
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Kamphues, J., and T. Hegmanns. "A modular approach for integrated inventory management in distribution logistics." IFAC-PapersOnLine 48, no. 3 (2015): 1815–20. http://dx.doi.org/10.1016/j.ifacol.2015.06.350.
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Raghuram, G. "Logistics Management: An Introductory Note." Vikalpa: The Journal for Decision Makers 17, no. 1 (January 1992): 31–37. http://dx.doi.org/10.1177/0256090919920104.
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Logistics is a logical extension of viewing transportation along with production planning, distribution network design, location of plants and warehouses, inventory management and so on to achieve an efficient goods distribution system. This article by G Raghuram, which identifies key actors involved in logistics in the Indian context and concludes that the potential for cost reduction in logistics is substantial, could pave the way for further work in this area.
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Dong, Bo, Manzhen Duan, and Yinfeng Li. "Exploration of Joint Optimization and Visualization of Inventory Transportation in Agricultural Logistics Based on Ant Colony Algorithm." Computational Intelligence and Neuroscience 2022 (June 15, 2022): 1–12. http://dx.doi.org/10.1155/2022/2041592.
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The problem of joint optimization of inventory and transportation in agricultural logistics and distribution is a typical logistics problem, but agricultural logistics and distribution also have their own characteristics, such as uneven distribution of outlets, complex road conditions, very many outlets, a single order with few goods but high frequency of ordering, centralized distribution, and unified channels. To promote the sustainable development of the economy, it is necessary to save energy and reduce emissions, and eventually enter a new era of “low consumption, low pollution, and low emissions.” Modern logistics vehicle-scheduling process is complex and changeable, and the existing mathematical methods are not perfect in solving this problem, lacking scientific theory as a guide. The joint optimization problem introduces the inventory change factor on the basis of periodic vehicle path optimization and optimizes the inventory decision and path planning in an integrated manner. As a system to support the logistics industry, the visualized logistics information system is capable of video viewing and querying logistics information. In order to reduce gas emissions and save costs, it is necessary to optimize the transportation link, and the focus of optimization is the route optimization of distribution vehicles. Ant colony algorithm (ACA) is an emerging search and optimization technique, which emerged from the research of ACA. In this study, we study the joint optimization and visualization of inventory transportation in agricultural logistics based on ACA. In addition, the experimental results show that the inventory cost/total cost of improved ACA is 0.006 when the unit mileage transportation cost is 10, and the IBM ILOG CPLEX is 0.031, which is reduced by 0.0025, that is to say, in the case of high inventory cost per unit product, the use of improved ACA can lead to a significant reduction in inventory costs. Therefore, it can realize the whole process of control, traceability, and dynamic optimization to ensure the timeliness of emergency finished food security and provide real-time information for decision-making in command as well.
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Pei, Ying Mei, Chun Ming Ye, and Li Hui Liu. "Inventory-Transportation Integrated Optimization Problem." Applied Mechanics and Materials 178-181 (May 2012): 2793–97. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.2793.
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In view of typical many-one distribution network in the modern distribution logistics system, the mathematic model on the inventory-transportation integrated optimization problem with stochastic demand and diversified products was established by using a bi-level programming method. Both decisions of inventory control and transportation arrangement were made at the same time. An improved heuristic algorithm was proposed to divide the integration problem into both problems of the inventory and the transportation: the cost were distributed by the former according to different products and the optimized cost was sought out by the latter according to different periods, thus the inventory-transportation integrated optimization problem was solved through the repeated iteration between the former and the latter. The mathematic description and the heuristic algorithm to the massive practice of the modern distribution logistics system are realized.
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Kmiecik, Mariusz. "Logistics Coordination Based on Inventory Management and Transportation Planning by Third-Party Logistics (3PL)." Sustainability 14, no. 13 (July 4, 2022): 8134. http://dx.doi.org/10.3390/su14138134.
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Currently, there is still a strong trend in research and in the market connected with the role of 3PL (third-party logistics) companies and the trend of developing and creating coordination in logistics networks. The most important issue for the following paper is the examination of the 3PL enterprise, which is able to create the demand forecasts to gain the functions of logistics coordination in the fields of inventory management and transportation planning. This research paper focuses on showing the demand forecasting tool results for 29 chosen distribution networks (in this paper, the traditional forecasting methods were used based on time series exponential smoothing, ARIMA, machine learning and neural-network-based methods, created in the R programming environment). In the next steps, the forecasting results were compared in the conditions of transportation planning and inventory management (in the conditions of “future” dynamic ABC analysis). The forecasting function supports the inventory management and transportation planning activity of 3PL as a key element of logistics coordination in distribution networks. The proper way to transfer the results of forecasting to an ABC analysis and transportation planning concept is to create a cloud-based system supported by data from the WMS (warehouse management system), while providing the possibility of results visualization by using some BI (business intelligence) solutions or different tools to create managerial information dashboards. Currently, one of the most efficient models connected with logistics coordination is the centralized network with 3PL responsible for planning and executing logistics processes with the creation of additional value. As such, 3PL is able to create a similar forecast for different types of DN and with different aggregations (per SKU or per recipient). It could support coordination in DN from the point of view of inventory management and transportation planning.
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Lv, Pin, and Cheng Zheng Ma. "The Choice of Different Logistics Policies Considering Transportation and Inventory Costs in a Two-Echelon Distribution System." Applied Mechanics and Materials 505-506 (January 2014): 902–6. http://dx.doi.org/10.4028/www.scientific.net/amm.505-506.902.
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This paper presented a formal analysis for the alternative of logistics centralization and decentralization policy in a two-echelon distribution system. First, functions of transportation and inventory costs under different policies in the system were developed. Second, the differences between transportation and inventory costs were compared, and the relationship between transportation and inventory cost difference was analyzed through a balance ratio. At last, some indicators were derived to measure the level of demand uncertainty, the amount of retailers and the size of customer orders. It shows that the optimal logistics policy can be determined as a tradeoff between transportation and inventory costs. And the indicators can provide a basis for selecting the optimal logistics policy.
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Antipenko, V. S., N. S. Babich, and K. V. Galkin. "Optimisation of Inventory Levels as Logistics Challenge." World of Transport and Transportation 19, no. 2 (November 13, 2021): 64–68. http://dx.doi.org/10.30932/1992-3252-2021-19-2-9.
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Inventory ensures stability of the production technical system. Production facilities have warehouses for workpieces to create final output parts, and warehouses for finished products to meet customer demand. Stocks of workpieces avoid manufacturing downtime. Stocks of finished products make it possible to meet demand in a timely manner and avoid penalties for late deliveries of finished products to consumers.On the other hand, the objects that make up the inventory are «dead» material resources that do not bring profit and negatively affect economic efficiency and competitiveness. According to published data, in economically developed countries, such as the USA, Japan, Germany and others, up to 30–40 % of production is in stocks. All this indicates the relevance of the issue of optimising the level of reserves, of solving the problem of establishing and maintaining the optimal level of the stock, its timely replenishment, considering time required for execution of applications of end users.The objective of the work is to propose a solution to a stochastic logistic problem of inventory management with a random time delay and random demand, obtained by the authors using the methods of mathematical statistics, mathematical modelling, and production logistics for unknown and arbitrary form of distribution functions of demand and time delay. The work provides specific examples of approaches to implementation of suggested solution.
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Qin, Zhidan. "The Inventory Control System of Reverse Logistics for E-Commerce Packaging Recovery Based on BP Neural Network." International Journal of Circuits, Systems and Signal Processing 16 (January 13, 2022): 413–25. http://dx.doi.org/10.46300/9106.2022.16.51.
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The paper combines BP neural network to optimize the control system of e-commerce packaging and reverse logistics inventory. Through improving the hardware configuration structure of the system, the system can be improved and the operation effect of the system can be improved. The software flow and operation algorithm of the storage control system of e-commerce packaging recycling reverse logistics are optimized step by step, and the logistics is delivered by following the vehicle on the spot and visiting the logistics The distribution personnel collect the relevant data and data in the process of logistics and transportation, draw the reverse logistics business flow chart, point out the situation of reverse logistics before and after the goods distribution and distribution due to the cancellation of orders or transactions by customers, and the application for return of goods after the transaction. Meanwhile, it points out that the sales return operation site in the reverse logistics management process is chaotic and not formed the clear business process specification and other problems can effectively control the reverse logistics inventory of e-commerce packaging recovery. Finally, the experiment proves that the e-commerce packaging recycling reverse logistics inventory control system is more practical in the practical application process, and fully meets the research requirements.
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Park, In-Kyu, Sung-Woo Kang, and Kyung-Sik Kang. "Effect of Distribution Center Consolidation and Inventory Reduction on Logistics Cost." Journal of the Korea Safety Management and Science 17, no. 1 (March 31, 2015): 265–70. http://dx.doi.org/10.12812/ksms.2015.17.1.265.
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Azzi, Anna, Alessandro Persona, Fabio Sgarbossa, and Mauro Bonin. "Drug inventory management and distribution: outsourcing logistics to third‐party providers." Strategic Outsourcing: An International Journal 6, no. 1 (February 15, 2013): 48–64. http://dx.doi.org/10.1108/17538291311316063.
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Bilous, M. V., O. P. Shmatenko, O. A. Ryzhov, V. V. Trokhymchuk, О. V. Galan, and D. V. Drozdov. "Conceptual aspects of management of the distribution of medical supplies from the position of military pharmaceutical logistics." Farmatsevtychnyi zhurnal, no. 3 (March 18, 2019): 3–11. http://dx.doi.org/10.32352/0367-3057.3.19.01.
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One of the main directions of logistic support of the Armed Forces of Ukraine is medical support which is aimed at life safeguard and health of military personnel, well-timed and efficient provision of medical care in the event of injuries, injuries and diseases, fast renewal of combat power and ability to work in different conditions of its handling and at different period of time. The readiness of medical service of the Armed Forces of Ukraine to the medical support of the troops depends on the well-timed organization of medical supplies and the refilling of medical supplies full and complete. The qualitative and efficient allocation of medical equipment and medical supplies is a determining factor in this process.
The aim of the work – reasoning of the irregularity of distribution logistics in the unified logistic system of the Armed Forces of Ukraine and the study of the main aspects of management of the distribution of medical supplies from the position of military pharmaceutical logistics.
To get the purpose of the research, the analysis of domestic scientific sources and the current normative and legal base of Ukraine have been carried out. Research methods are: information search, comparison, systemization, semantic analysis, synthesis and modeling.
In the conditions of logistic support of the Armed Forces of Ukraine and other components of the security and defense forces of Ukraine, the logistic function of the distribution of logistical equipment, inventory, military equipment and services (food, bath and laundry services, etc.) should ensure the activity of troops (forces) in peacetime and war time. It is the guarantee of the ability to ensure the defense of the state and appropriate response to military threats to the national security of Ukraine, efficiently using available potential and resources. Distribution logistics from the position of military pharmaceutical logistics is the management of all functional subsystems of the medical supplies and health services of the Ministry of Defense of Ukraine in order to optimize the distribution of the material flow (purchased medical supplies) from the supplier to the final consumer (according to the applications of the Military Medical Clinical Centers of the Regions).
Same, distributive logistics in the structure of a unified logistic support system of the Armed Forces of Ukraine does not carry a commercial component, and its functions consist in planning, organization of distribution, control and regulation of the logistic process of distribution of material and technical means (including medical equipment and supplies), inventory, military equipment, services (catering, bath and laundry service, etc.). According to the authors, the term «marketing logistics» is not possible to use as a single system of logistic support of the Armed Forces of Ukraine, and in its subsystems. To sum it up, it was suggested to use the term «distributive logistics». On the basis of theoretical generalization of the data of scientific literature and normative legal acts, the main aspects of management of the distribution of medical equipment and supplies from the standpoint of military pharmaceutical logistics are studied. The functions of distributive logistics are defined, the model of the current logistic chain of distribution of medical equipment and supplies in the medical service of the Armed Forces of Ukraine is constructed. It is noted that in order to ensure the qualitative and efficient distribution of medical equipment and supplies, a regulatory and legal framework which regulates the division of powers between institutions and units of medical supplies and defines the responsibility for their implementation in the current conditions of the reformation of the Armed Forces of Ukraine.
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Ariyana, Nofa. "Model Lokasi-Alokasi Bantuan Logistik Catastrophic Berbasis Masjid di Kota Padang." Jurnal Optimasi Sistem Industri 11, no. 2 (April 28, 2016): 235. http://dx.doi.org/10.25077/josi.v11.n2.p235-242.2012.
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Padang is one of the most vulnerable area of earthquake and tsunami in Indonesia. Therefore, it is necessary to have a good strategic planning about disaster logistics system and contingency planning. Contigency planning have three factors, human resources, transportation, and inventory. The problems that happened at distribution of disaster logistical buffer between distribution centre (BPBD Padang) and evacuation post are needed a buffer post (assistant post). This research suggest a location allocation model to select buffer post location and logistics allocation that distributed to evacuation post with minimum cost.Keywords: disaster logistics, location allocation model, buffer post
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Ritha, W., and S. Sutha. "Logistics Network Design, Shipment Consolidation in a Distribution Centre – Warehouses – Customers Integrated Inventory Model." IRA-International Journal of Technology & Engineering (ISSN 2455-4480) 6, no. 2 (February 28, 2017): 11. http://dx.doi.org/10.21013/jte.v6.n2.p1.
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<em>This paper presents a study on multi level customers from three integrated network design and management of inventory to distribute from the various centres. The distribution process is performed through the warehouses situated in different location. Then the assignment will be shipped through the agent of the distribution centres. The main objective of this inventory model is to reduce the transportation and handling costs in the logistics network. This network design to establish the proper shipment model for clear the inventory and to provide an equivalent linear formulation. To prove effectiveness of the model, the strategy for handling the inventory is also proposed to in this study. The results also suggested that the distribution centres with high holding capacities should be arranged and scheduled to deliver their shipments.</em>
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Li, Jingwen, Yifei Tang, and Jianwu Jiang. "A Intelligent Logistics Inventory Distribution Model Based On Pipeline Network And Ant Colony Algorithm." E3S Web of Conferences 53 (2018): 03046. http://dx.doi.org/10.1051/e3sconf/20185303046.
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With the popularization and application of emerging Internet technologies such as big data and cloud computing, the traditional B2B and B2C warehousing logistics management modes have not achieved synergy between various distribution stations and suppliers, achieving “one-to-one” means a distribution station is supplied by a manufacturer, and a customer is also supplied by a distribution station. The traditional logistics industry model can no longer meet the individual needs of customers. At present, the logistics industry has a series of problems such as slow delivery, slow turnover, high cost and poor service. Based on the theoretical basis of pipeline network and smart logistics, this paper proposes a pipeline network model of intelligent logistics, and improves the ant colony algorithm to improve transportation efficiency, which provides a guarantee for the efficient operation of the intelligent logistics platform.
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HUANG, J. K. "B2C E-COMMERCE CUSTOMIZED LOGISTICS AREA INVENTORY ALLOCATION STRATEGY BASED ON CONSTRAINED CLUSTERING ALGORITHM." Latin American Applied Research - An international journal 48, no. 3 (July 31, 2018): 217–22. http://dx.doi.org/10.52292/j.laar.2018.231.
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Logistics network includes regional logistics network and urban logistics network. In this paper, the urban logistics network is taken as the research object. With the improvement of the consumption level of the residents, the attention to quality has become an important reference standard for consumers to choose e-commerce, which makes the electric business shift from "price war" to "service war". Compared with past purchases in physical stores, most consumers prefer to choose convenient and fast online shopping. As a result, the size of the online shopping market has increased rapidly. According to statistics, the growth rate of the online shopping market in the past five years is over 100%, and the growth rate will slow down in the next few years, but it will still maintain steady growth. The importance of logistics for an e-business enterprise is obvious. The improvement and perfection of logistics distribution network is imminent. Scholars at home and abroad have studied this aspect for a long time. This research is based on the optimization of ecommerce logistics distribution network. By summing up the ideas and solutions proposed by researchers at home and abroad for this problem, and combining with the actual situation, a method of optimizing the B2C e-commerce logistics distribution network is designed. Considering the special traffic situation and the actual order demand in the city, the distribution area division, the distribution site stratification, the vehicle routing optimization and the logistics network optimization model are set up, and a combination of various methods is used to solve the problem.
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Kahraman, Ömer Utku, and Erdal Aydemir. "A bi‐objective inventory routing problem with interval grey demand data." Grey Systems: Theory and Application 10, no. 2 (April 6, 2020): 193–214. http://dx.doi.org/10.1108/gs-12-2019-0065.
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PurposeThe purpose of this paper is to manage the demand uncertainty considered as lower and upper levels for a medium-scale industrial distribution planning problem in a biobjective inventory routing problem (IRP). In order to achieve this, the grey system theory is applied since no statistical distribution from the past data and incomplete information.Design/methodology/approachThis study is investigated with optimizing the distribution plan, which involves 30 customers of 12 periods in a manufacturing company under demand uncertainty that is considered as lower and upper levels for a biobjective IRP with using grey demand parameters as a grey integer programming model. In the data set, there are also some missing demand values for the customers. So, the seven different grey models are developed to eliminat the effects on demand uncertainties in computational analysis using a piece of developed software considering the logistical performance indicators such as total deliveries, total cost, the total number of tours, distribution capacity, average remaining capacity and solution time.FindingsResults show that comparing the grey models, the cost per unit and the maximum number of vehicle parameters are also calculated as the new key performance indicator, and then results were ranked and evaluated in detail. Another important finding is the demand uncertainties can be managed with a new approach via logistics performance indicators using alternative solutions.Practical implicationsThe results enable logistics managers to understand the importance of demand uncertainties if more reliable decisions are wanted to make with obtaining a proper distribution plan for effective use of their expectations about the success factors in logistics management.Originality/valueThe study is the first in terms of the application of grey models in a biobjective IRP with using interval grey demand data. Successful implementation of the grey approaches allows obtaining a more reliable distribution plan. In addition, this paper also offers a new key performance indicator for the final decision.
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Su, Wen Gui, Pin Pin Qin, Li Li, and Xiong Huang. "Research on JIT Production Logistics Management System." Advanced Materials Research 328-330 (September 2011): 717–20. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.717.
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Just in time (JIT) distribution is an necessary activity for the JIT production system ,which delivers the right parts with the right quality and quantities to the right place at the right time. In this paper we analyze and build a logistics distribution mode of a just-in-time based production system and develop a JIT production logistics information system using RFID technology, XML technology and .NET platform. The information system has four function modules: user management, basic data management, distribution management and interface management. The practice of JIT pull production shows that the rate of material distribution is effectively increased and the inventory is effectively decreased . The developed system and ERP system can control production process and material movement well .
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Jiao, Ya Bing. "Based on the Electronic Commerce Environment of Intelligent Logistics System Construction." Advanced Materials Research 850-851 (December 2013): 1057–60. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.1057.
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Based on e-commerce environment, the establishment of intelligent logistics system is the new requirement of today's economic development. Through the study of the system design of intelligent logistics system, the system of mutual cooperation, automatically cohesion, intelligent logistics system throughout the supply chain cycle short, cost savings. In the process of implementation, logistics tracking technology to provide clients with the whole process of tracking services, integrated logistics design simulation technology provides intelligent e-commerce logistics simulation test. Logistics transportation scheduling optimization system using GPS technology, GIS was carried out on the vehicle route reasonable planning. Network distributed warehousing and inventory control system for each user to provide comprehensive intelligent distribution, warehousing and inventory control system. Intelligent logistics system dynamic precise management of logistics activities promotes the vigorous development of electronic commerce.
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Nikolicic, Svetlana, Milorad Kilibarda, Marinko Maslaric, Dejan Mircetic, and Sanja Bojic. "Reducing Food Waste in the Retail Supply Chains by Improving Efficiency of Logistics Operations." Sustainability 13, no. 12 (June 8, 2021): 6511. http://dx.doi.org/10.3390/su13126511.
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One of the basic problems of sustainability in modern society is the reduction of waste, particularly when it comes to food. Food waste has negative impacts on different dimensions of sustainability: social (hunger), economic (resource costs), and environmental (resource consumption and waste generation). This paper focuses on waste reduction through improving the inventory management system in the dairy distribution chain by the application of modern information and communication technologies (ICT). The approach is tested and verified in a case study by application of simulation modelling. Two inventory management models are created, and their impact on waste in the distribution part of the supply chain is examined. Model 1 represents the current dairy inventory management system in the supply of retail stores. Model 2 is based on a higher level of information connectivity between participants (RFID product labelling and the appropriate level of information technology), enabling automatic product ordering and changes in inventory management policy. The obtained results confirm that coordinated inventory management, supported by the application of modern ICT, can significantly contribute to the improvement of the sustainability of the food supply chain, and provide an exact quantification of the given contribution in the case of the dairy industry.
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Pang, Ji Jun, and Xi Fu Wang. "Study on Model of Inventory and Distribution Joint Optimization Based on the VMI." Applied Mechanics and Materials 361-363 (August 2013): 2053–56. http://dx.doi.org/10.4028/www.scientific.net/amm.361-363.2053.
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This paper studies the problem of inventory and distribution joint optimization for two level logistics system of a supplier and multiple clients by building the model of inventory and distribution joint optimization based on VMI to reach the goal of minimizing the total system cost. Moreover, this article not only designs the iterative algorithm to solve the model, and determine the optimal inventory and distribution program from the perspective of system optimization, but also verifies the validity of the model and algorithm through using MATLAB software.
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Zheng, Yahong, Jiangcen Ke, and Haiyan Wang. "Risk Propagation of Concentralized Distribution Logistics Plan Change in Cruise Construction." Processes 9, no. 8 (August 12, 2021): 1398. http://dx.doi.org/10.3390/pr9081398.
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Compared with the ordinary merchant ship building, the concentralized distribution in cruise building is more complex. Plan change is a common phenomenon in cruise building, and it is easy to lead to mismatch between production and logistics, resulting in risks such as production schedule delay and inventory backlog. In order to reduce the adverse effects of plan change on the shipyard, it is necessary to conduct an in-depth study on the risks of a centralized distribution logistics plan. Based on the analysis of the composition of the centralized distribution logistics planning system, risk factors in different plan links are identified in this paper. A system dynamic model is constructed to simulate the propagation of five basic types of planning risk, including procurement plan, warehousing plan, pallet concentralization plan, distribution plan and production plan. In the case study of HVAC (heating, ventilation and air conditioning) materials, the values of risk factors are estimated though consulting experts with questionnaire. The weight of each risk factor in each subsystem is calculated by a method combined with analytic hierarchy process and coefficient of variation method. Through the simulation experiments carried out in Vensim, it is found that both inventory backlog risk and cruise construction schedule delay risk increase with the increasement of estimated values of risk factors, which is an effective proof of the rationality of the model, and that the most sensitive risk factor for both the two kinds of risk is production planning risk.
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Loree, Nick, and Felipe Aros-Vera. "Points of distribution location and inventory management model for Post-Disaster Humanitarian Logistics." Transportation Research Part E: Logistics and Transportation Review 116 (August 2018): 1–24. http://dx.doi.org/10.1016/j.tre.2018.05.003.
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Wang, Jie. "Electric Power Material Logistics Distribution Based on Improved Multi-Population Particle Swarms." Journal of Physics: Conference Series 2143, no. 1 (December 1, 2021): 012013. http://dx.doi.org/10.1088/1742-6596/2143/1/012013.
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Abstract In view of the problem that the information requirements of electric power supplies logistics distribution are increasingly high, this study proposes the research of electric power supplies logistics distribution based on improved multi-population particle swarm. Firstly, the simulated annealing algorithm is introduced in detail, and then the particle swarm optimization (PSO) is improved by using the domain extension method. Then the multi-population particle swarm optimization was carried out through the optimization of coding system, the updating speed formula and the algorithm convergence control. Finally, the optimization effect was verified. Final results show that, this study put forward based on improved particle swarm more population of electricity supplies logistics distribution model has feasibility and suitability, through the optimized parameters and algorithm of the model, to identify the logistics network of electric power supply company the best optimization model, thus reducing power cost of inventory and logistics distribution time, so as to improve the efficiency of logistics distribution.
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Milewski, Dariusz. "Total Costs of Centralized and Decentralized Inventory Strategies—Including External Costs." Sustainability 12, no. 22 (November 10, 2020): 9346. http://dx.doi.org/10.3390/su12229346.
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The paper deals with the economic efficiency of decentralized and centralized strategies of distribution goods in terms of both internal efficiency of firms and external costs of logistics processes (first of all external costs of transport). The author developed a model (using an electronic spreadsheet) in order to calculate the economical efficiency in the micro and macro dimensions in order to find the distances on which distribution using one central warehouse is more profitable than decentralized distribution. The results of the simulations show that the strategy of centralized inventories can be in many cases an economically effective strategy although not for deliveries on very long distance. The results confirm that the benefits of centralization are lower inventories, although the simulations do not confirm the applicability of the square root law to calculate the level of inventories. However, they confirm a positive impact on the level of logistic customer service, measured by the availability of stocks. Better service is probably the main benefit of this strategy. In order to investigate the impact of individual parameters on the total costs of logistics processes 1300 simulations were carried out for various cases: The volume of annual sales, fluctuations in demand, the value of distributed goods, the number of warehouses in a decentralized system and the width of the product range, costs of warehousing, and maintaining stocks, and the distance of transport and in deliveries to customers.
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Szentesi, Szabolcs, Béla Illés, and Peter Tamas. "MATHEMATICAL DESCRIPTION OF THE DISTRIBUTION LOGISTICS PROCESSES OF CONSIGNMENT SELLER DIETARY SUPPLEMENT MANUFACTURING COMPANIES." Journal of Production Engineering 24, no. 1 (June 30, 2021): 39–42. http://dx.doi.org/10.24867/jpe-2021-01-039.
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Consignment sales are a special case of supply chains, as the products are never the property of the seller, so the distribution logistics network and the logic of the structure of the products are radically different from those of normal supply chains. Another problem is that the products have a shelf life. The inventory mechanism (qmin; qmax) is most often used for the commissioned stocks of companies producing food supplements and when checking the central inventory, i.e. replenishment to the maximum stock level when a certain stock level is reached. There are several factors to consider when filling up commission stocks and reviewing them by period. With the mathematical correlations of these factors, it is possible to distribute the commissioned finished products optimally. The paper deals with this problem.
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Andika, Ria, and Diana Diana. "Analisis Penerapan Enterprise Resource Planning (ERP) Pada PT Sinar Sosro Palembang." Jurnal Pengembangan Sistem Informasi dan Informatika 1, no. 4 (November 23, 2021): 244–52. http://dx.doi.org/10.47747/jpsii.v1i4.567.
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PT. Sinar Sosro which is the first ready to drink bottled company in Indonesia and in the world. In developing its business, PT. Sinar Sosro has distributed sales throughout the archipelago, through sales branch offices spread throughout the archipelago. PT. Sinar Sosro in its company management has implemented the Enterprise Resource Planning System, the ERP system built by Sosro's management allows access to data from Sosro's branch offices. Functional area at PT. Sinar Sosro covers: Sales and marketing, Manufacturing, Finance, Accounting, Logistics, Distribution, Inventory, Invoice. In the grip of this functional area, PT. Sinar Sosro uses SAP as its ERP program. The distribution system is capable of handling the company's manufacturing, logistics, inventory, shipping, invoicing, and accounting processes. This system helps control business activities such as sales, delivery, production, inventory management, quality management, and human resources. The modules used in SAP are inventory management, plant maintenance, production, finance and accounting, human resource management.
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Wahyuni, F. D., Z. Najah, and M. I. Santoso. "Mapping of sustainable warehouse process in the agro-hub Banten using business process modelling notation." IOP Conference Series: Earth and Environmental Science 978, no. 1 (February 1, 2022): 012053. http://dx.doi.org/10.1088/1755-1315/978/1/012053.
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Abstract Study of sustainable warehousing management through modelling process bussiness in Agro-hub was needed as issue of environmentally-friendly way of warehouse management appeared. Agro-hub was distribution centre integrated with logistics, warehouses, packaging houses and digital markets. Warehouse processes include receiving, data records, packing, and inventory and logistics. This researched was aimed to designed sustainable warehouse process in the Agro-hub Banten. The modelling method was using Business Process Modelling Notation. The collecting data was done by observation, in-depth interview and documentation review. Results of this study are mapping of material acceptance process (purchasing), dara record process, and inventry and packing practices.
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Hidayat, Cecep. "Pengelolaan Persediaan Jasa: Suatu Contoh Aplikasi pada Jasa Rumah Sakit." Binus Business Review 3, no. 2 (November 30, 2012): 641. http://dx.doi.org/10.21512/bbr.v3i2.1349.
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The services sector contribute more than 70% of gross domestic product (GNP) almost all countries in the world, even the more advanced the countries are the more contribution the countries will give. Services inventory means that complementary service inventories, both human beings and machines, as well as goods and equipment that accompany delivery of services.Inventory models for services haven’t been specific, but basically they are almost similar to the inventory model for the product in the form of goods. The hospital are the places of business that produce services, so that the logistic of hospital is not the logistics of goods distribution, but it is only about material goods inventory management and equipment needed to produce those services. The most aplicable inventory services for hospital are the ABC classification model.
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Liu, Gia-Shie, and Kuo-Ping Lin. "A decision support system of green inventory-routing problem." Industrial Management & Data Systems 119, no. 1 (February 4, 2019): 89–110. http://dx.doi.org/10.1108/imds-11-2017-0533.
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Purpose The purpose of this paper is to develop a decision support system to consider geographic information, logistics information and greenhouse gas (GHG) emission information to solve the proposed green inventory routing problem (GIRP) for a specific Taiwan publishing logistics firm. Design/methodology/approach A GIRP mathematical model is first constructed to help this specific publishing logistics firm to approximate to the optimal distribution system design. Next, two modified Heuristic-Tabu combination methods that combine savings approach, 2-opt and 1-1 λ-interchange heuristic approach with two modified Tabu search methods are developed to determine the optimum solution. Findings Several examples are given to illustrate the optimum total inventory routing cost, the optimum delivery routes, the economic order quantities, the optimum service levels, the reorder points, the optimum common review interval and the optimum maximum inventory levels of all convenience stores in these designed routes. Sensitivity analyses are conducted based on the parameters including truck loading capacity, inventory carrying cost percentages, unit shortage costs, unit ordering costs and unit transport costs to support optimal distribution system design regarding the total inventory routing cost and GHG emission level. Originality/value The most important finding is that GIRP model with reordering point inventory control policy should be applied for the first replenishment and delivery run and GIRP model with periodic review inventory control policy should be conducted for the remaining replenishment and delivery runs based on overall simulation results. The other very important finding concerning the global warming issue can help decision makers of GIRP distribution system to select the appropriate type of truck to deliver products to all retail stores located in the planned optimal delivery routes depending on GHG emission consumptions.
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Valery, Lukinskiy, and Lukinskiy Vladislav. "Designing the Analytical Base for Optimal Allocation of Stocks in Supply Chains." Transport and Telecommunication Journal 19, no. 4 (December 1, 2018): 346–55. http://dx.doi.org/10.2478/ttj-2018-0029.
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Abstract The carried out studies show that from the point of view of the issue of efficiency increase of logistical systems, there are several key aspects. Firstly, choice of methods for managing the triad of logistics functions ‘inventory management - warehousing – transportation’, where the inventory management issues are considered as the most relevant ones. Secondly, there is recognized the need to move the studies of multi-level systems within the framework of the concept of supply chain management. Nowadays, supply chains, which are represented by the distribution system, are widespread in practice. The most common of them are two-level ones with a central supplier at the second level and a certain number of companies at the first level; and multi-level systems of the distribution configuration network in which multi-nomenclature stocks are located. The article is devoted to the design and enhancement of analytical platform for inventory management in such distribution systems.
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Hamoudi, Kahina, Ahmed Bellaouar, and Romain Petiot. "A Model of Systems Dynamics for Physical Flow Analysis in a Distribution Supply Chain." Transport and Telecommunication Journal 22, no. 1 (January 29, 2021): 98–108. http://dx.doi.org/10.2478/ttj-2021-0008.
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Abstract This article proposes a model of systems dynamics for the analysis and study of physical flows in a distribution logistics chain. The proposed model is a decision support tool that allows testing several scenarios in order to study the behavior of physical flows within a supply chain depending on the inventory and transport costs and taking into consideration the environmental issues through the integration of a CO2 tax in transport costs. The developed model can be used to analyze various scenarios and perform various “what-if” analyzes, as well as to answer questions about the long-term operation of distribution chains. The results show that logistic decisions and strategies taken at the supply chain level influence inventory and transport costs. They show also that the model is a well decision-support tool for calculating and analyzing transport and inventory costs. We first expose the methodology and the literature review. Next, we present in detail the structure of the model consisting of the causal loops diagram and stock and flow diagram. Finally, we discuss the results of the model.
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Pinna, Roberta, Pier Paolo Carrus, and Fabiana Marras. "The drug logistics process: an innovative experience." TQM Journal 27, no. 2 (March 9, 2015): 214–30. http://dx.doi.org/10.1108/tqm-01-2015-0004.
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Purpose – The purpose of this paper is to present the latest innovations in the drug distribution processes of hospital companies, which are currently dealing with high inventory and storage costs and fragmented organizational responsibilities. Design/methodology/approach – The literature review and the in-depth analysis of a case study support the understanding of the unit dose drug distribution system and the subsequent definition of the practical implications for hospital companies. Findings – Starting from the insights offered by the case study, the analysis shows that the unit dose system allows hospitals to improve the patient care quality and reduce costs. Research limitations/implications – The limitations of the research are those related to the theoretical and exploratory nature of the study, but from a practical point of view, the work provides important indications to the management of healthcare companies, which have to innovate their drug distribution systems. Originality/value – This paper analyzes a new and highly topical issue and provides several insights for the competitive development of a fundamental sector.
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Zulfadli, Zulfadli, Nizamuddin Nizamuddin, and Nasaruddin Nasaruddin. "Perancangan Purwarupa Sistem Informasi Online Pendistribusian dan Persediaan Logistik Saat Tanggap Darurat Bencana di BPBD Pidie Jaya." Jurnal Serambi Engineering 4, no. 1 (April 5, 2019): 432. http://dx.doi.org/10.32672/jse.v4i1.976.
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<p>Logistics supply when emergency of disaster comes up that have some problems to be considered much as setting up of emergency operations center irregularly, less coordination between sectors, the data of victims is not properly recorded, and the logistics supply not appropriate with the need of victims. These problems occured because there are no information connected between sectors related to victim data, and the aid that has been fulfilled is very urgent logistics at the disaster site. Information system for distribution and logistics supplies during disaster response is needed to realize effective and efficient distribution. This information system design includes planning, system analysis, collecting data, system design, system testing and implementation. This research was conducted at BPPD office in Pidie Jaya Regency. This information distribution and logistics inventory system that is designed will simplify and accelerate the process of recording in distribution and logistics supply. The results of this system can be introduced to society, so that when disaster occurs the community will receive information quickly and accurately related to distribution and logistics supply</p>
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Wandira, Bertin Ayu, Ketut Suarayasa, and Kadek Viyan Kristiawan. "Management of Post-Disaster Medicine Logistics at the Pharmacy Installation of Regional Public Hospital Undata of Central Sulawesi Province." Journal La Medihealtico 1, no. 2 (July 20, 2020): 21–25. http://dx.doi.org/10.37899/journallamedihealtico.v1i2.116.
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The purpose of this research is to fine out how the management of post-disaster medicine logistics at the Pharmacy Installation of Regional Public Hospital Undata the research. Method used was qualitative with in-depth interview data cullcolection techniques. Research informants were 6 informants who were determined by purposive sampling technique. The results show that the planning of pharmaceutical supplies at Regional Public Hospital Undata used consumtion methods epidemiology. The obstacles to logistical planning for type medicine, a disease tread is changing. Medicine logistics budget in pharmaceutical installations comes from the state budget and BLUD. Procurement of pharmaceutical supplies using the method of direct purchases and E-purchasing, obstacles in the procurement of medicine logistic are still arrears of payment of medicine to distributors. Slow distribution of medicine from distributors and the emtiness of medicine stocks acceptance of pharmaceutical supplies is carried out by the pharmaceutical installation warehouse staff and reception team, there are still obstacles in receiving the time for quality inspection and quantity of logistical goods wich quite long. Medicine logistics storage is carried out with the FIFO and FEFO systems with alphabetical storage arrangements, constraints in logistics storage, narrow IFRS repositories. Medicine logistics control was done by taking inventory to find out the quality and quantity of medicine as well as the medicine expired date, the obstacles in controlling medicine logistics time to take stock of hospitalization takes a long time.
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Wang, Cuimin. "Research on Optimal Design of Short-Life Cycle Product Logistics Supply Chain Based on Multicriteria Decision Model." Security and Communication Networks 2021 (April 1, 2021): 1–12. http://dx.doi.org/10.1155/2021/5564831.
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In order to study the special production, distribution, transportation, and sales of short-lived and short-lived multimedia products, this paper studies the cost and benefit optimization of a three-level supply chain network consisting of a supplier-producer-distribution center. Simultaneously, to effectively describe the actual inventory level of the retailer’s multimedia products, this paper introduces a new nonlinear function to define the real-time inventory of multimedia products to establish a biobjective nonlinear mixed-integer programming model to estimate the inventory. The research results show that the model established in this paper can not only provide the overall cost and optimal decision-making plan for the short-lived dairy supply chain but also the design method is better than the standard constraint method. Relevant research results have important potential guiding significance for research and design of supply chain network structure, measurement of multimedia product inventory levels, and improvement of customer satisfaction. The optimized design of the logistics supply chain of multimedia products with short life cycle under the background of new retail is beneficial.
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Yoho, Keenan, and Uday Apte. "Navy expeditionary logistics." CASE Journal 14, no. 2 (March 5, 2018): 207–31. http://dx.doi.org/10.1108/tcj-04-2017-0031.
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Synopsis Continuous process improvement has been widely taught in business schools and has yielded real results and success in both for-profit and non-profit sectors. Though there have been many cases developed for use in business schools, few, if any, situate the topic in a military context. Further, expeditionary logistics presents managers with special problems of being removed from their supporting enterprise systems that process, track, and/or control of such logistical elements as purchase orders, inventory, distribution, receivables, and fulfillment. The authors present a case in a military setting that exposes students to the challenges of expeditionary logistics and takes them through the fundamentals of process analysis and process improvement. Research methodology The authors used a research methodology of a case study. Data were collected during field visits over the course of multiple interviews. Interviews were conducted with subject matter experts and active professionals serving in US Navy expeditionary logistics roles regarding processes and process performance. Relevant courses and levels This case can be applied to senior undergraduate or graduate-level courses in operations management, supply chain management, or logistics. Theoretical bases The theoretical bases adopted in this paper are supply chain management, information technology, operations management, and process improvement methodologies such as Six Sigma and Lean.
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Sumah, Bangalie, Ilyas Masudin, Fien Zulfikarijah, and Dian Palupi Restuputri. "Logistics Management and Electronic Data Interchange Effects on Logistics Service Providers’ Competitive Advantage." Journal of Business and Economic Analysis 03, no. 02 (January 2020): 171–94. http://dx.doi.org/10.1142/j_10.36924sbe.2020.3205.
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The purpose of this research is to determine the effect of logistics management and electronic data interchange (EDI) in enhancing competitive advantage. A total of 100 questionnaires were distributed to senior managers, middle-level managers and junior- level managers and 76 were filled and returned (76% response rate). The study adopted a quantitative method through simple and multiple linear regression analysis and qualitative descriptive method through analysis of variance (ANOVA). The results of this study found that logistics management dimensions such as transport management, physical distribution management, inventory management and warehousing management have a significant positive effect on competitive advantage. As for EDI, it is found that two out of the three dimensions such as better communication, and improved billing have a significant positive effect on competitive advantage. While quick access to information was found to have a significant negative effect on competitive advantage. The results further revealed that logistics management has a significant positive effect on competitive advantage.
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Arango Serna, Martin Dario, Carlos Andres Romano, and Julian Andres Zapata Cortes. "Collaborative goods distribution using the IRP model." DYNA 83, no. 196 (April 20, 2016): 204–12. http://dx.doi.org/10.15446/dyna.v83n196.52492.
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<p>This paper presents a study of the impact that collaboration in inventory has on distribution costs in a network of one supplier and multiple customers. Freight transport is widely studied due to its impact on logistics costs and service levels of enterprises. Looking for network configurations that improve some of these aspects will always be attractive to both academics and businesses. The collaborative distribution system was proposed using the IRP model, and it was compared with the scenarios in which the both supplier or customers optimize their inventory levels. For the IRP model solution a genetic algorithm was used, from which it was obtained a collaborative distribution system with a better performance than if the optimization is made independently.</p>
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Pérez-Rodríguez, Noel, and José Holguín-Veras. "Inventory-Allocation Distribution Models for Postdisaster Humanitarian Logistics with Explicit Consideration of Deprivation Costs." Transportation Science 50, no. 4 (June 2016): 1261–85. http://dx.doi.org/10.1287/trsc.2014.0565.
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Wang, Yaoyan. "Inventory Path Optimization of VMI Large Logistics Enterprises Based on Ant Colony Algorithm." Mobile Information Systems 2022 (August 28, 2022): 1–11. http://dx.doi.org/10.1155/2022/5186552.
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In order to better manage the supplier’s inventory and formulate a reasonable distribution plan, based on the existing research, taking the two-level supply chain system composed of one supplier and multiple retailers as the research object and VMI mode as the background, this paper studies the inventory path optimization problem with the goal of minimizing the total cost in the planning period. Taking the retailer’s inventory capacity and vehicle capacity constraints as constraints, this method constructs a mixed integer programming model with random demand in multiple cycles and the goal of minimizing the total cost in the planning period. When building the model, the distribution cost is refined. In addition to identifying shipping-related start-up costs and travel costs, processing costs are associated with additional delivery time, which is close to reality. In the algorithm design, the genetic algorithm is combined with the C–W algorithm, a similar hybrid genetic algorithm is used to solve the model, and the sample model is used for estimation; that is, the expected value of the random sample is taken, which is used as the target value for each chromosome. In addition, when optimizing roads, the C–W algorithm is used to divide vehicle capacity according to truck capacity as much as possible, thereby reducing the number of vehicles used and saving the overall total cost of preparation time for certain projects. Facts have proved that the optimized and improved inventory path is more conducive to help enterprises reduce logistics costs and provide theoretical support for enterprise management decisions.
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Bai, Shizhen, and Hongbin Sun. "Research on Enterprise Supply Chain Optimization Model and Algorithm Based on Fuzzy Clustering." Journal of Mathematics 2021 (December 28, 2021): 1–9. http://dx.doi.org/10.1155/2021/4827903.
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Reasonable logistics distribution network structure can not only effectively reduce the cost of logistics enterprises themselves but also reduce the social cost. Through effective supply chain management, enterprises can significantly reduce costs, improve competitiveness, and enhance their ability to resist risks. Because the single-level distribution network structure of production enterprises is not suitable for large-scale logistics distribution, this paper proposes a distribution network structure design that accords with economies of scale and establishes an enterprise supply chain optimization model based on the fuzzy clustering algorithm. Using this optimization method to optimize the inventory of enterprise logistics supply chain, the operation is fast, the result is correct and reasonable, and it can provide good decision support for the distribution network of logistics enterprises. Through information technology and modern management technology, we should effectively control and coordinate the logistics, information flow, and capital flow in the production and operation process and organically integrate the internal supply chain with the external supply chain for management, so as to achieve the goal of global optimization.
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Yang, Xianfeng, Wei Hao, and Yang Lu. "Inventory slack routing application in emergency logistics and relief distributions." PLOS ONE 13, no. 6 (June 14, 2018): e0198443. http://dx.doi.org/10.1371/journal.pone.0198443.
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Rachel Karimah, Chriswardani Suryawati, and Septo Pawelas Arso. "REVIEW: MEDICAL CONSUMABLE LOGISTIC MANAGEMENT PROCESS IN HOSPITALS." Medical Sains : Jurnal Ilmiah Kefarmasian 7, no. 4 (December 22, 2022): 1005–16. http://dx.doi.org/10.37874/ms.v7i4.554.
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Medical consumable supply management is done in a continuous cycle, or a logistics cycle, in accordance with the goals of logistics management. The planning, budgeting, purchasing, storing, distributing, withdrawing, destroying, and controlling of the requirements come first. Logistics management strongly emphasize inventory and material movement from the point of origin to consumption to satisfy the demands of consumers and users. In other words, the logistics system aims to provide the most excellent service while minimizing costs. Inventory is a vital component of every organization such as hospital. This study aims to understand the management procedure in the hospital installation's logistics unit. The study used a narrative review methodology. The publications compiled for this study were found using the keywords "Logistics Management," "Hospital Logistics Management," "Medical Consumables," and "Logistics Management" in Scopus, Science Direct, ProQuest, SpringerLink, Google Scholar, and Emerald Insight. Consumable healthcare supplies the amount of the materials used was 11 articles. The findings demonstrate the significance of each element to the operation of logistics management. The study's findings indicate that the logistics management process for managing medical consumables has an impact and can serve as a model for the distribution management system for managing medical supplies based on supply chain management evaluations.
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Rajendran, Venkatesh, S. R. Devadasan, and S. Kannan. "Design of a Logistics Network in an Organisation for Optimising Logistics Cost and Inventory Using RSM and Genetic Algorithm." Applied Mechanics and Materials 592-594 (July 2014): 2601–7. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.2601.
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The competitive environment of global markets has forced many manufacturers to select the most appropriate logistics for the optimisation of total logistics costs, time and inventory. Cost and time are the two important factors in the competitive market that are often not addressed comprehensively by the researchers. In this study, the genetic algorithms (GAs) and the fuzzy logic techniques are used for optimising a novel mathematical model of the logistics network. The objective of the proposed model is to minimise the costs of production, distribution, holding and backorder. In addition to the optimization of logistics costs, the model can also determine the economic production quantity (EPQ), and with help of the GAs and the Fuzzy logic solver with probability parameters and various dimensions for validation of the studied model in real-life situations, and we compared the outputs to demonstrate the performance of the two optimization techniques . Using Genetic Algorithm and fuzzy logic, the optimized value of the logistics cost, and volume of the logistics network were obtained.
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Ji, Tingting, Shoufeng Ji, Yuanyuan Ji, and Hongyu Liu. "Study on Sustainable Combined Location-Inventory-Routing Problem Based on Demand Forecasting." Sustainability 14, no. 23 (December 6, 2022): 16279. http://dx.doi.org/10.3390/su142316279.
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The sustainable combined location-inventory-routing problem (CLIRP) based on demand forecasting is studied in this paper. Based on the construction of a multi-stage demand forecasting model, five parts of total logistics costs: the costs of trunk transportation and regional transportation, the fixed costs of distribution center construction, the inventory holding costs, shortage costs, and salvage, are comprehensively considered. The existing CLIRP model does not consider the environmental influence. Thus, a sustainable CLIRP model considering carbon emission is established with minimum logistics costs and emission as the objective function. A heuristic algorithm gives the initial solution, and then a hybrid heuristic algorithm combining the tabu search algorithm with the simulated annealing algorithm is proposed to find the global near-optimal solution. Finally, a numerical example of a garment chain enterprise is given to illustrate the solving process of the model. The results show that using the proposed algorithm determines the optimal locations of RDCs, and the transportation routes with each region are obtained with the minimum total logistics costs and carbon emission. The model realizes the combination of location, inventory, and routing problems of the large garment enterprises and finally realizes the goal of optimizing the sustainable logistics distribution network of the garment industry, which verifies the effectiveness of the model. Moreover, a comparison is made to show the efficiency of the proposed algorithm; the results show that the proposed algorithm in this paper optimizes the route and selections of RDCs.
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Naval Cartalla, Kyla Flor, and Anthony G. Esguerra. "Performance Level of Sales Force Automation System in a Logistics and Distribution Company." Asia-Pacific Journal of Information Technology and Multimedia 11, no. 02 (December 31, 2022): 89–96. http://dx.doi.org/10.17576/apjitm-2022-1102-07.
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ogistics and distribution companies turned their interests to using sales force automation (SFA) in their business operations as technology is now a widely used tool that allows fast and efficient operations. A descriptive design was used in this study, and inventory, sales monitoring, and distribution process are the key indicators used to measure the performance of the sales force automation. The results show that the SFA system was perceived as good, with a 4.0 weighted mean. Internet connectivity was the major challenge in the utilization of SFA. Continuous system improvement is recommended to maximize the utilization of the system.
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Naval Cartalla, Kyla Flor, and Anthony G. Esguerra. "PERFORMANCE LEVEL OF SALES FORCE AUTOMATION SYSTEM IN A LOGISTICS AND DISTRIBUTION COMPANY." Asia-Pacific Journal of Information Technology and Multimedia 11, no. 02 (December 31, 2022): 89–96. http://dx.doi.org/10.17576/apjitm-2022-0101-07.
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Logistics and distribution companies turned their interests to using sales force automation (SFA) in their business operations as technology is now a widely used tool that allows fast and efficient operations. A descriptive design was used in this study, and inventory, sales monitoring, and distribution process are the key indicators used to measure the performance of the sales force automation. The results show that the SFA system was perceived as good, with a 4.0 weighted mean. Internet connectivity was the major challenge in the utilization of SFA. Continuous system improvement is recommended to maximize the utilization of the system
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Kostrov, A. V., V. F. Kornyushko, S. Kaybullaeva, and O. M. Nikolaeva. "INFORMATIONAL AND ALGORITHMIC SUPPORT FOR DISTRIBUTION AND MARkETING LOGISTICS CONTROL SySTEMS OF PHARMACEUTICAL ENTERPRISES." Fine Chemical Technologies 12, no. 3 (June 28, 2017): 87–94. http://dx.doi.org/10.32362/2410-6593-2017-12-3-87-94.
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Informational models and control algorithms models for separate functional modules of the pharmaceutical enterprises distribution and supply logistics management are considered in the article. The possibility of such modules management by means of ERP class integrated information systems is shown. Drug procurement management algorithms implemented with the help of ERP and based on the ABC/XYZ analysis methodology, algorithms and informational models for pharmaceutical companies’ logistic system of inventory management in warehouses are proposed. Algorithms, mathematical and information models for the logistic control system of stocks in warehouses with medicinal preparations at pharmaceutical enterprises are proposed. The scheme of the organization of the current incoming control of medicinal preparations in the finished goods warehouse is considered. Functional models are presented in IDEF0 notation for describing management systems based on ERP in distribution and marketing logistics systems in pharmaceutical companies. Examples are given of constructing graphic IDEF0-models, for describing business processes in drug prediction systems (LS) and quality control of incoming products. The analysis of modern ERP-systems is carried out, and their main features and directions of development are revealed, which is the most important step when working in any field of activity.