Integrating distribution and supply logistics: a systemic conceptual framework

Biological intelligence for modelling and optimization on vehicle routing problem of logistics distribution and supply chain management systems are presented in this paper. Logistics distribution is adaptive, dynamic, and open self-organizing system, which is maintained by flows of information, materials, goods, funds, and energy. The aim of this research is to summarize different individual bio-inspired methods, evolutionary computing, genetic algorithm, ant colony optimization, artificial immune systems, and to obtain power extension of these hybrid approaches. In general, these bio-inspired hybrid approaches are more competitive than the classical problem-solving methodology including improvement heuristics methods or individual bio-inspired methods and their solutions in logistics distribution and supply chain management applications.KeywordsLogistics distributionvehicle routing problembio-inspired modelsgenetic algorithmsartificial immune systemshybrid artificial intelligence

This article aims to find out and analyze management of Procurement of Logistics Operations and distribution of logistics for the 2019 election as well as analyzing obstacles in the procurement and distribution of Election Operations. The procedure for collecting information is by collecting and summarizing data that is not recorded in numbers but in the form of an explanation that is described and analyzed descriptively with a qualitative approach. Data obtained through interviews and library documents. The problem is focused on four main indicators in logistics distribution to support the completeness of the 2019 Election, namely, Logistics Management, Budget certainty, procrutment and logistics distribution. Therefore, logistics management and distribution have a very important role for the successful completion of the 2019 election, where the processes involved are interrelated with one another. The theory used in this problem is from Bowersox (2002) which states that the main logistics characteristics of logistics activities are the integration of various sizes and demands formovementand storage. The results of the research prove that due to a lack of communication between the Balikpapan City KPU and the RI KPU along with logistics providers, some of the logistics equipment is procured late, so that the arrival of logistics from providers does not coincide causing the logistics system to not work properly, obstacles in pawning and distribution of Election Operations namely the intervention of the commissioner in terms of procurement and raising prices in the appointed procurement directly resulted in state losses that had to be returned, and the lack of sending ballots caused delays in logistics and minimal transportation personnel, so that it became an obstacle in the distribution of logistics.

Integrated decisions in the system of the marketing logistics are the main resource for providing the efficient management of the value chain. Moreover, there is not a sufficient number of methodological approaches, which could use in complex the principles of the integrated modelling of decisions in the operational systems “procurement marketing – supply logistics” and “sales marketing – distribution logistics”. Considering that fact, the methodology of selecting strategic alternatives based on the integrated modeling in separate marketing logistics chains and in stage-by-stage formation of the supply chain participants has been developed in the article. The research is based on the application of the AHP method and the method of planning “dual sourcing” (70/30) for grounding the selection of the supply strategy at the market of material resources; methods of optimal planning according to Bayes criterion, linear programming and logistics modelling – for grounding the selection of the managerial decisions on the strategy of distributing the ready produce. The research covers, firstly, grounding the essence of the marketing logistics through the systemic approach to identification of its main and servicing business processes; secondly, improvement in the process of planning decisions in the procurement marketing system by adding the procedure of the logistical selection of the hierarchical estimation with a different degree of advantages in alternative supply strategies; thirdly, formation of the cascade integrated approach toward selection of the alternative distribution channels for the finished produce by estimating the complex marketing effect and application of the logistical model of optimal distribution.

The origin, quality and content of the information related to the logistics distribution system as well as the processing mode decide the efficiency and effect of the distribution system greatly. The key to realize the core functions of modern logistics distribution system is the exact gathering and processing dynamic logistics distribution information in time. Using the theory and method of information fusion, this paper researched the logistics distribution information fusion method and pattern as well as the logistics distribution integrative system based on information fusion. The basic pattern of logistics distribution information fusion is proposed, and the logistics distribution integrative system is built that takes the logistics information platform, GIS, GPS, GSM and INTERNET technology as support. The system has many functions such as vehicle route optimization, route guidance, real-time tracking and control during distribution process, real-time inquiry service for customer and so on. This system could respond customer's demand fast, enhance efficiency of logistics distribution, reduce cost and promote grade of service for customers. 1. PREFACE Logistics distribution is the key step in logistics activity. The distribution line optimized, whole process tracking and control, customer real-time inquiry service, vehicle navigation and so on are important functions of modern logistics distribution system. In order to respond to customer demand quickly, enhance logistics distribution efficiency, reduce cost and promote customer service grade, modern logistics distribution system must build the logistics information platform fully utilizing information technology and automation technology, collect dynamic distribution information, distribution process situation as well as road traffic information etc in time and exactly，dispose and decide rapidly. This paper analyzed information characteristics of the logistics distribution, researched logistics distribution information fusion method and pattern as well as logistics distribution integrative system based on information fusion theory and method.

The delays and constraints that distribution centers have in supplying logistics that are often faced are related to transportation and transportation facilities that are not optimal, as well as the location of distribution centers to the remote Koarmada I area. In this study, an analysis of the effectiveness of the implementation of logistics distribution by a logistics distribution agency was carried out and the influence of the implementation of logistics distribution on supply performance to support the Koarmada I Marine Combat Operations. From the measurement model obtained using SEM-AMOS software on the three variables of Location, Transportation and Inventory that builds Logistic Distribution, Location variable has a high value of 0.566. This means that the effectiveness of the implementation of logistics distribution in distributing logistics supplies from the distribution center to Koarmada I is not effective. So that in order to answer the existing problems, the Indonesian Navy needs to plan the formation of a logistics supply distribution organization through organizational validation, building reserve locations that are in strategic positions, building infrastructure and managing logistics supplies in a comprehensive and integrated manner.

The delays and constraints that distribution centers have in supplying logistics that are often faced are related to transportation and transportation facilities that are not optimal, as well as the location of distribution centers to the remote Koarmada III area. In this study, an analysis of the effectiveness of the implementation of logistics distribution by a logistics distribution agency was carried out and the influence of the implementation of logistics distribution on supply performance to support the Koarmada III Marine Combat Operations. From the measurement model obtained using SEM AMOS software on the three variables of Location, Transportation and Inventory that builds Logistic Distribution, Location variable has a high value of 0.566. This means that the effectiveness of the implementation of logistics distribution in distributing logistics supplies from the distribution center to Koarmada III is not effective. So that in order to answer the existing problems, the Indonesian Navy needs to plan the formation of a logistics supply distribution organization through organizational validation, building reserve locations that are in strategic positions, building infrastructure and managing logistics supplies in a comprehensive and integrated manner. Keywords : Distribution Logistic; Effectivity; Location; Transportation

The economic development due to the use of start-up technologies in the management of logistics processes is investigated. The experience of leading European companies is analyzed, which is accompanied by continuous introduction of the latest smart technologies in the system of logistics process management. The basic principles of logistics of smart technologies in the system of management of logistic processes are formulated such as: system, accuracy, reliability, efficiency, security, optimization, competence, mobility, productivity, economy and efficiency. Features of smart technologies are distinguished: Smart Logistics Grid (planning, optimization, provisioning, coordination and control), Smart Transportation (creation, provisioning and control), Smart Government (provisioning and optimization), Smart City (provisioning, optimization and management decision making), Smart London (management optimization and decision making), Smart ecosystem (integrated approach), Innovate18 (security), Heathrow pod (security), Blockchain platform (security, optimization), Smart Сontracts (optimization, control), Smart Sensor (control) in the logistics management system eyes. It has been proven that automated and digitized logistic processes minimize the use of human labor and paper documents, and as a result of the implementation, in particular of artificial intelligence platforms, can: first, provide comprehensive analysis and control of the supply chain; secondly, to improve the following functional areas of logistics: information logistics, supply logistics, transport logistics, distribution logistics, marketing logistics, warehouse logistics and inventory management, and more. The following main components of the cumulative economic effect of applying a logistic approach are proposed: effective coordination; integration of logistics resources; quality and efficiency control in various areas; establishing partnerships with suppliers; reducing order processing time, downtime, production cycle and logistics costs; improving product quality; optimization of integrated management structures; improving the reliability of workflow and quality of the logistics product; updating real-time data across all links in the logistics chain; reduction of logistical risks.

Based on the research of lean production, the lean supply theory is a development of the lean concept from the production field to the supply field. After that, it is developed integrated lean supply which is a kind of collaboration in the first level and provides components with higher quality and lower cost for assembly plants in larger size, higher level, shorter time and enterprises in the supply chain for a long term and it could finish the process of supply with higher lean requirement on the premise of highly integration. The supply chain system in auto-mobile industry is very complicated. At the same time the operational efficiency of supply logistics will directly influence the final profit of enterprises in the supply chain. However, in the process of implementing lean supply logistics, due to the lack of specific and systematic theoretical guidance, the research results are not satisfactory. This article base on the perspective of collaborative innovation, and through collaborative innovation of supply-chain, production and distribution logistics in different stages of logistics operation to realize logistics integration of a enterprise successfully.

Every country concerns itself to some extent with the efficient and equitable distribution of goods to its people. In order to unravel the logistics of physical distribution in China, it is critical to understand the political and economic context in which it is carried out. The policy of capitalist or mixed economy countries is to let manufacturers, wholesalers and retailers compete to provide the goods at the time, place and price desired by the customer. As a rule, neither government policy nor the distribution process is set up to ensure that people will get the particular goods for a set price or at a given location. Prices are a function of the relative power held by consumers, distribution channels and producers. Location is a function of customer demand. It is assumed that the discipline of the marketplace will keep the system operating with reasonable efficiency.

Aiming at the problems of complex urban road network, low efficiency of logistics distribution, and the difficulty of large-scale logistics distribution area division and routing planning, this paper proposes a two-stage logistics distribution vehicle routing optimization (VRP) method based on the establishment of a multi-factor complex road network constrained logistics distribution mathematical model. Considering the complex traffic elements and road network topological structure in logistics and distribution, in the first stage, a heuristic simulated annealing (HSA) distribution region partitioning algorithm is proposed with the objective of balancing vehicle task load to divide the urban logistics distribution network under complex road networks, so as to reduce the area scale and path search cost. In the second stage of route decision making, aiming at minimizing the total cost of logistics distribution, combining the VRP problem with complex road network conditions, a heuristic path search method combined with complex road network model constraints is proposed. In this stage, a hybrid genetic beam search(HGBS) algorithm is used to plan the path nodes, reduce the randomness of the model in the initial search for paths by heuristic genetic algorithms, then combine with Beam graph search methods to reduce the space and time used for the search, and use optimization algorithms to improve the accuracy of independent sub-region routing optimization and the rationality of overall physical distribution route selection. Finally, the proposed method is validated in this paper with two practical cases. The experimental results show that the two-stage decision-making algorithm proposed in this paper has certain advantages in partitioning schemes, minimizing total cost and iteration times. Through comparison, the optimization ability of this method for logistics distribution networks is proved.

Nowadays, enterprises adopt outsourcing to conduct their logistic distribution. In order to choose the appropriate logistic provider, a detailed, in-depth logistic plan should be designed. This paper adopt BSC theory and GAHP-grey correlation method, based on the condition mentioned above, put forward a method of choosing logistic provider forB2C e-commerce enterprise. Finally, a case shows that this method is feasible.

The main objective of any entity, regardless of its form of incorporation, is to reduce its internal costs in order to increase the company's profit. Administrators constantly seek to use tools that meet the company's real needs. Logistics is extremely important for the growth of a company. She is the one who plans and ensures that the distribution of an organization's necessary materials and supplies happens effectively. It is separated into four types: supply logistics, production logistics, reverse logistics and distribution logistics. Currently, with the advancement of technology, access to products and goods has increased, the need to expand means of transport to meet demand has also increased, since transport is the main component of the current reality of globalization.

In order to improve the efficiency of logistics distribution under electronic commerce environment and reduce the logistics cost of distribution path length and time delay, to solve the problem of logistics distribution method at present larger and better convergence, a logistics distribution method in e-commerce environment is proposed based on particle swarm optimization algorithm, the characteristics of construction behavior the characteristics of logistics distribution under the e-commerce environment, the logistics distribution problem into a multi-objective optimization problem of particle swarm optimization. Based on the IOT technology, to establish a stable and efficient logistics supply chain structure, according to the interval distribution characteristics of e-commerce products to the distribution of the time interval of extraction group behavior of particles, the adaptive path characterized the amount of logistics distribution optimization and implementation under the environment of e-commerce logistics distribution path optimization, improve the coverage level of logistics and distribution of the simulation nodes. The results show that the method has stronger spatial search ability, it has higher convergence accuracy and faster search speed, and reduces the time cost and path overhead of logistics delivery.

Economic development trends are objective towards globalization and formation of integrated transport and logistics systems that include consumers, production and logistics of supply and distribution. In these conditions, improving the efficiency of logistics is a development vector that should be set by state and international organizations. Logistic operations are energy intensive and have a negative impact on the environment. Costs are not an appropriate metric. Improving energy efficiency in logistics is critical to the sustainability of the economy and can be achieved through rational management of goods and transport flows, efficient use of energy resources and production capacities. Measuring energy efficiency makes it possible to diagnose current situation, identify potential for promotion and develop a strategy aimed at improving the efficiency of logistics. The article proposes a conceptual framework for identifying different system levels in the logistics system, where the potential for improving energy efficiency of integrated transport and logistics systems can be found. The article emphasizes the need for a standardized approach to measuring the energy efficiency of logistics, which allows comparisons between transport systems, and also outlines approaches to the study of indicators for assessing the energy efficiency of an individual voyage of a ship, a shipping company, or assessing the energy efficiency of a supply chain.KeywordsEnergy efficiencyShipLogistics system

This study investigates the key success factors (KSFs) for selecting the consumer to consumer (C2C) logistics provider in Thailand. Relevant factors related to the selection criteria of a C2C third party logistic (3PL) provider are first solicited from the literatures and 17 major factors which are categorised in five groups are identified by a group of experts. Then, we apply analytical hierarchy process method incorporated with the three ranking logic to calculate the global weight for each factor. Finally, it is found that the top four KSFs for selecting C2C 3PL providers in Thailand are: 1) transport price, 2) on-time delivery, 3) quality of service, 4) short lead time. These results can let the 3PL providers understand the needs of the players in the C2C markets. Furthermore, it can be also treated as a guideline for the C2C entrepreneurs to monitor and improve the quality of their customer services.