Logistics Network Planning Research Articles

Analysis on the location of green logistics park based on heuristic algorithm

The location problem of logistics park is the basis of logistics network planning. The establishment of conventional logistics park location planning model requires consideration of multiple factor...

Forward and reverse logistics network and route planning under the environment of low-carbon emissions: A case study of Shanghai fresh food E-commerce enterprises

In view of the rapid development of low-carbon economy, the increasing distribution demand and returned demand which caused by the short shelf life and spoilage of fresh food, network and route planning model of a two-stage forward/reverse logistics is firstly proposed for fresh food e-commerce enterprises under the environment of low-carbon emissions (The objective in the first stage is to minimize the overall cost of the system, and the minimum overall cost of the circulation-type distribution vehicles routing is considered in the second stage). And the validity of the model is verified by adopting genetic algorithm (GA) and particle swarm optimization (PSO) algorithm with the study of the fresh food e-commerce enterprises of Shanghai. Furthermore, a good reference can be provided to build the forward and reverse logistics network and optimal route planning model of fresh food e-commerce enterprises and reduce the carbon emissions during its operation process.

Study of the 3PL Network Planning Layout in a Province Based on Quick Response

Starting with the provincial logistics network planning, combined with the quick response theory, to establish two-layer distribution network model of 3PL and tried to establish the method of determining the number and layout of RDC and FDC. At last, simulation study is carried out by taking an example of tobacco logistics network planning in Hunan Province.

Cold Chain Logistics Distribution Network Planning Subjected to Cost Constraints

In order to reduce the loss in the circulation of agricultural products, and to reduce the total cost, this article minimizes the operation cost by establishing an objective function when designing the cold chain logistics distribution network. Considering the characteristics of the cold chain products, this paper regards construction cost of network nodes, transportation cost and damage cost as the main factors in establishing an objective function. As the cold chain logistics is correlated to the demand of time, this article comes up with a concept of service radius, which transformed the transportation time between logistics nodes into the radius of logistic nodes. The model is verified through a series of constraint conditions to express the relationship between the various decision variables. An example is given in the end, which demonstrates the application of this model in a vegetable firm distribution logistics network planning. The final computation results illustrated that the model is effective.

Logistics network planning for offshore air transport of oil rig crews

Oil discoveries of recent years, especially in the pre-salt Santos Basin, reflect a large increase in petroleum exploration and production in Brazil. Accordingly, drilling rig and production platform crew transport demands will increase. This transport will also become more complex as average distance between fields and Brazil’s coast increases. The helicopter, the modal most used for this purpose, is the most efficient means of transport in terms of speed and safety, but also entails high costs. Optimizing the crew transport logistics network thus becomes an economically significant issue. The study presents an optimization model for crew transport logistics network planning. That model aims to provide managers with accurate information to assist their decision making in logistics infrastructure planning. Such decisions involve airfield locations, distribution of demand among airfields and fleet profile. Since composing the fleet involves considerable expenditures, and once made, this composition is not easily changed, we built several scenarios varying in demand and fleet costs to evaluate the behavior of the model we are proposing as regards processing time and quality of the solution. We have obtained good results, despite the increasing complexity of the scenarios.

Research on the Model of Reverse Logistics Networks Planning Based on Recycling Waste Household Appliances

In the case of four kinds discarded appliances of TV set, refrigerators, air conditioners and washing machines, build a reverse logistics network model of waste household appliances recycling by planning to establish three nodes of collection points, recycling centers and dismantling treatment plants. The reverse model with the minimum total cost as the objective, including recycling costs, transportation costs, the node infrastructure investment costs, operating costs, government subsidies and renewable resource recycling revenue. Finally, the operation analysis of an example shows that the model is effective and reasonable. The model provides an important theoretical reference to solve the reverse logistics network planning, the optimal siting of new node and distribution optimization problem.

Robust capacitated facility location model for acquisitions under uncertainty

We study a new robust formulation for strategic location and capacity planning considering potential company acquisitions under uncertainty. Long-term logistics network planning is among the most difficult decisions for supply-chain managers. While costs, demands, etc. may be known or estimated well for the short-term, their future development is uncertain and difficult to predict.A new model formulation for the robust capacitated facility location problem is presented to cope with uncertainty in planning. Minimizing the expectation of the relative regrets across scenarios over multiple periods is the objective. It is achieved by dynamically assigning multi-level production allocations, locations and capacity adjustments for uncertain parameter development over time. Considering acquisitions for profit maximization and its supply-chain impact is new as well as the simultaneous decision of capacity adjustment and facility location over time. The solution of the novel robust formulation provides a single setup where good results can be achieved for any realized scenario. Hence, the solution may not be optimal for one particular scenario but may be good, i.e. the highest expected profit to gain, for any highly probable future realization. We show that robust mixed-integer linear programming model achieves superior results to the deterministic configurations in exhaustive computational tests. This dynamic robust formulation allows the supply-chain to favorably adapt to acquisitions and uncertain developments of revenue, demand and costs and hence reduces the potential negative impacts of uncertainty on supply-chain operations.

Tax-related aspects of logistics network planning: a case study in the Brazilian petrochemical industry

This study investigates the logistics network planning in a major Brazilian petrochemical company, taking into consideration the impact of tax-related costs, in addition to transportation and inventory costs. A Mixed Integer Nonlinear Programming model that considers the most relevant costs involved in the network planning process in Brazil was developed and subsequently applied to a case study of a large Brazilian petrochemical company. Our results support anecdotal reports regarding Brazilian companies intensely using ‘product tourism’ to take advantage of different interstate tax rates. Product tourism occurs when a logistically unnecessary flow of goods is established to a lower tax jurisdiction (with a corresponding increase in transportation costs) so that the company obtains a reduction in the amount of the taxes due.

4/R/I/T distribution logistics network 0-1 programming model and application

With the intensification of competition, enterprises pay more and more attention to logistics network construction and improvement. Optimizing logistics network is regarded as the key way to raise supply chain efficiency. This paper focuses on the definition and analysis of 4/R/I/T logistics network structure which is widely used in distribution logistics system, and puts forward 0-1 programming model to minimize logistics cost based on 4/R/I/T network structure. The model takes into the restriction of service time limit and sole service characteristics account. This optimization model can be solved by Lingo. An example is given in the end, which introduces the application of this model in a medicine distribution logistics network planning.

Information Considerations for Logistics Network Planning

Deciding where to locate stocking points and plants within a logistics network, which ports or vendor locations to use, and how the product should flow through this network are common strategic planning problems for many businesses. Management scientists have laboured for many years to create models that can assist businesses with this type of problem. Numerous such models are described in the management literature. Much attention is given to improving their scope, robustness, speed of solution, and mathematical sophistication. Very little attention is given to the information that drives these models and so strongly affects their accuracy and utility, yet management should have more concern about the input data to these models than about the way in which a particular model solves the problem.