scholarly journals Study on Overseas Warehouse Location of Manufacturing Cross-border E-Commerce Enterprises Based on Multi-objective

CONVERTER ◽  
2021 ◽  
pp. 172-184
Author(s):  
Yingying Liang, Et al.
Keyword(s):  
Optimal Solution ◽  
Location Model ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Cross Border ◽  
Warehouse Location ◽  
Starting Point ◽  
Logistics Mode ◽  
Set Up ◽  
Enterprise Logistics

As a new logistics mode, overseas warehouse can save transportation time for cross-border logistics and also solve the problem of customer return and exchange as soon as possible. This paper takesmanufacturing cross-border e-commerce enterprise logistics as the starting point, considering cost, market, environment, society and other factors, establishes a multi-objective overseas warehouse location model to set up alternatives, analyzes the location model by analytic hierarchy process, selects the optimal solution of overseas warehouse location in the alternatives, and verifies the method by an example. Finally, it puts forward targeted suggestions for manufacturingcross-border e-commerce enterprises to establish overseas warehouses, and then promotes the new logistics mode of manufacturingcross-border e-commerce overseas warehouses to mature and standardize.

Lightweight Design of a Brake Caliper

2013 ◽  
Author(s):  
Federico Maria Ballo ◽  
Massimiliano Gobbi ◽  
Giampiero Mastinu ◽  
Amir Pishdad
Keyword(s):  
Cross Sections ◽  
Lightweight Design ◽  
Optimal Solution ◽  
Element Model ◽  
Industrial Applications ◽  
Structural Topology ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Beam Elements ◽  
Starting Point

As lightweight design assumes greater importance in road vehicles development, the present paper is mainly devoted to the structural optimization of a brake caliper. In the first part of the study a simplified finite element model based on beam elements of a brake caliper has been developed and validated. By using the developed model, a multi-objective optimization has been completed. The total mass of the caliper and the deformations at some critical locations have been minimised. The considered design variables are related to the shape of the caliper and the cross sections of the beam elements. The obtained optimal solutions are characterized by an asymmetric shape of the caliper. Optimised symmetric shapes currently used have been compared with the asymmetric ones in terms of performance. In the second part of the study, a detailed analysis on the optimal caliper shape has been carried out by performing a structural topology optimization. The minimum compliance problem has been solved using the SIMP (solid isotropic material with penalization) approach and the optimal solution has been compared with the ones obtained by applying the multi-objective optimization on the simplified model (beam elements). The obtained design solutions represent a good starting point for future developments in actual industrial applications.

scholarly journals Fuzzy Analytic Hierarchy Process-Based Mobile Robot Path Planning

2019 ◽  
Author(s):  
Changwon Kim ◽  
Yeesock Kim ◽  
Hak Yi
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Analytic Hierarchy Process ◽  
Optimal Solution ◽  
Middle Level ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Optimal Position ◽  
Multi Objective ◽  
Hierarchy Process

This study presents a path planning method for a mobile robot to be effectively operated through a multi-objective decision-making problem. Specifically, the proposed Fuzzy analytic hierarchy process (FAHP) determines an optimal position as a sub-goal within the multi-objective boundary. The key features of the proposed FAHP are evaluating the candidates according to the fuzzified relative importance among objectives to select an optimal solution. In order to incorporate FAHP into path planning, an AHP framework is defined, which includes the highest level (goal), middle level (objectives), and the lowest level (alternatives). The distance to the target, robot’s rotation, and safety against collision between obstacles are considered as objective functions. Comparative results obtained from the artificial potential field and AHP/FAHP simulations show that FAHP is much preferable for the mobile robot’s path planning than typical AHP.

scholarly journals Logistics Mode Selection Model Based on Fuzzy multi-objective Programming

2013 ◽  
Vol 6 (1) ◽  
pp. 689-694
Author(s):  
Haiyan Zhao
Keyword(s):  
Decision Making ◽  
Mode Selection ◽  
Additive Model ◽  
Relative Importance ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Decision Making Problem ◽  
Logistics Mode ◽  
Enterprise Logistics ◽  
Decision Making Model

Logistics mode selection is one of the most important activities of supply chain management. An important way to make competitor advantage is select an optimal Logistics mode for the enterprise. Logistics mode selection is a multi-criterion decision making problem in which criteria have different relative importance. In practice, many input information are known precisely. The fuzzy set theories can be used due to the imprecision of information. In this paper, a fuzzy multi-objective decision-making model which is equivalent to solving crisp model by using max-min approach is developed to handle effectively the vagueness of input data in the process of Logistics mode selection. Also, an additive model taking into account the objectives’ weights is presented further in the end of this paper.

Research on Intelligent Design Method of Ship Cabin Layout

2020 ◽  
Vol 54 (2) ◽  
pp. 79-92
Author(s):  
Yun-long Wang ◽  
Zhang-pan Wu ◽  
Guan Guan ◽  
Chao-guang Jin
Keyword(s):  
Genetic Algorithm ◽  
Local Search ◽  
Intelligent Design ◽  
Search Algorithm ◽  
Design Method ◽  
Optimal Solution ◽  
Location Model ◽  
Improved Genetic Algorithm ◽  
Multi Objective ◽  
Constraint Model

AbstractThe design of the ship cabin layout is a multi-objective comprehensive optimization problem, which needs to consider the location of the passage, cabin layout, space utilization ratio, functional realization, comfort, safety, and so on. In this paper, an improved tabu-criterion genetic algorithm for the intelligent design of ship cabin layout is proposed. According to the characteristics of ship accommodation cabin layout design, a ship deck layout area model and a multi-objective optimization model including relative location model, absolute location model, and ergonomic constraint model are established. The neighborhood transformation criterion and tabu-criterion of tabu search algorithm are introduced into genetic algorithm to advance the local search ability of a genetic algorithm. At the same time, a new genetic algorithm coding method is proposed to avoid the generation of illegal solutions in cabin layout sequence crossover and mutation operation. The improved genetic algorithm can effectively improve the local search ability of a genetic algorithm and make the algorithm converge to the optimal solution as soon as possible at the later stage of calculation. Finally, the simulation results verify the feasibility and efficiency of the proposed intelligent design method for ship accommodation cabin layout.

scholarly journals Optimization strategy of wireless charger node deployment based on improved cuckoo search algorithm

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Yang Wang ◽  
Feifan Wang ◽  
Yujun Zhu ◽  
Yiyang Liu ◽  
Chuanxin Zhao
Keyword(s):  
Sensor Network ◽  
Sensor Node ◽  
Search Algorithm ◽  
Optimal Solution ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Sensor Nodes ◽  
Optimization Strategy ◽  
Multi Objective ◽  
Received Power

AbstractIn wireless rechargeable sensor network, the deployment of charger node directly affects the overall charging utility of sensor network. Aiming at this problem, this paper abstracts the charger deployment problem as a multi-objective optimization problem that maximizes the received power of sensor nodes and minimizes the number of charger nodes. First, a network model that maximizes the sensor node received power and minimizes the number of charger nodes is constructed. Second, an improved cuckoo search (ICS) algorithm is proposed. This algorithm is based on the traditional cuckoo search algorithm (CS) to redefine its step factor, and then use the mutation factor to change the nesting position of the host bird to update the bird’s nest position, and then use ICS to find the ones that maximize the received power of the sensor node and minimize the number of charger nodes optimal solution. Compared with the traditional cuckoo search algorithm and multi-objective particle swarm optimization algorithm, the simulation results show that the algorithm can effectively increase the receiving power of sensor nodes, reduce the number of charger nodes and find the optimal solution to meet the conditions, so as to maximize the network charging utility.

A two-sided matching decision-making approach based on regret theory under intuitionistic fuzzy environment

2021 ◽  
pp. 1-18
Author(s):  
Xiang Jia ◽  
Xinfan Wang ◽  
Yuanfang Zhu ◽  
Lang Zhou ◽  
Huan Zhou
Keyword(s):  
Decision Making ◽  
Hamming Distance ◽  
Optimal Solution ◽  
Intuitionistic Fuzzy Sets ◽  
Regret Theory ◽  
Multi Objective ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Objective Model ◽  
Single Objective

This study proposes a two-sided matching decision-making (TSMDM) approach by combining the regret theory under the intuitionistic fuzzy environment. At first, according to the Hamming distance of intuitionistic fuzzy sets and regret theory, superior and inferior flows are defined to describe the comparative preference of subjects. Hereafter, the satisfaction degrees are obtained by integrating the superior and inferior flows of the subjects. The comprehensive satisfaction degrees are calculated by aggregating the satisfaction degrees, based on which, a multi-objective TSMDM model is built. Furthermore, the multi-objective TSMDM model is converted to a single-objective model, the optimal solution of the latter is derived. Finally, an illustrative example and several analyses are provided to verify the feasibility and the effectiveness of the proposed approach.

Comprehensive evaluation of logistics enterprise competitiveness based on SEM model

2020 ◽  
pp. 1-11
Author(s):  
Yang Yaxu
Keyword(s):  
Latent Variables ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Value Added ◽  
Learning Technology ◽  
Logistics Enterprise ◽  
Logistics Mode ◽  
Enterprise Competitiveness ◽  
Low Efficiency ◽  
Enterprise Logistics

The loose logistics market, the weak value-added service capabilities of enterprises, and the backward construction and operation of logistics networks have led to high logistics costs and low efficiency in some enterprises. In order to improve the comprehensive evaluation effect of enterprise logistics enterprise competitiveness, this paper builds a comprehensive evaluation model of logistics enterprise competitiveness based on SEM model based on machine learning technology. Moreover, in order to more accurately grasp the law of customer logistics mode selection behavior, this paper adds the adaptive value of the latent variables of the logistics mode service characteristics obtained through the SEM model to the utility function of the logistics mode to obtain the SEM-NL integrated model. In addition, starting from the analysis of the key factors affecting the competitiveness of enterprise logistics, this paper constructs an evaluation model of enterprise logistics competitiveness, and analyzes and studies the comprehensive competitiveness of enterprise logistics through two aspects of logistics actual competitiveness and logistics future development potential. The research results show that the model constructed in this paper is suitable for the comprehensive evaluation of the competitiveness of logistics enterprises.

Sign in / Sign up

Export Citation Format

Share Document