Study on Model of Inventory and Distribution Joint Optimization Based on the VMI

2013 ◽  
Vol 361-363 ◽  
pp. 2053-2056
Author(s):  
Ji Jun Pang ◽  
Xi Fu Wang
Keyword(s):  
Iterative Algorithm ◽  
System Optimization ◽  
Joint Optimization ◽  
Total System ◽  
Logistics System ◽  
Matlab Software ◽  
System Cost ◽  
Multiple Clients

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.

Complex Adaptive Logistics System Optimization Using Agent-Based Modelling and Simulation

2013 ◽  
pp. 223-236
Keyword(s):  
Experimental Study ◽  
Extreme Events ◽  
System Optimization ◽  
Modelling And Simulation ◽  
Future Trends ◽  
Logistics System ◽  
Research Directions ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Complex Adaptive

This chapter examines how to control the extreme events happening when a complex adaptive logistics system is implemented in used product remanufacturing, particularly in the used products transhipment stage. The chapter starts with an introduction about the necessity of introducing the complex adaptive logistics system. Then, the related studies dealing with similar issues are discussed in the background section. Next, the focal problem of this chapter is stated in the problem statement section. A detailed description about the approach (i.e., the agent-based modelling and simulation) can be found in the proposed methodology section. Right after this, an illustrative simulation example is discussed in the experimental study section. The potential research directions regarding the main problem considered in this chapter are highlighted in the future trends section. Finally, the conclusions drawn in the last section close this chapter.

scholarly journals Intelligent Total Transportation Management System for Future Smart Cities

2020 ◽  
Vol 10 (24) ◽  
pp. 8933
Author(s):  
Dinh Dung Nguyen ◽  
József Rohács ◽  
Dániel Rohács ◽  
Anita Boros
Keyword(s):  
Public Transport ◽  
Management System ◽  
Optimization Problems ◽  
Smart Cities ◽  
System Optimization ◽  
Preliminary Evaluation ◽  
Total System ◽  
Sensors And Actuators ◽  
Total Energy Consumption ◽  
Transportation Management

Smart mobility and transportation, in general, are significant elements of smart cities, which account for more than 25% of the total energy consumption related to smart cities. Smart transportation has seven essential sections: leisure, private, public, business, freight, product distribution, and special transport. From the management point of view, transportation can be classified as passive or non-cooperating, semi-active or simple cooperating, active or cooperating, contract-based, and priority transportation. This approach can be applied to public transport and even to passengers of public transport. The transportation system can be widely observed, analyzed, and managed using an extensive distribution network of sensors and actuators integrated into an Internet of Things (IoT) system. The paper briefly discusses the benefits that the IoT can offer for smart city transportation management. It deals with the use of a hierarchical approach to total transportation management, namely, defines the concept, methodology, and required sub-model developments, which describes the total system optimization problems; gives the possible system and methodology of the total transportation management; and demonstrates the required sub-model developments by examples of car-following models, formation motion, obstacle avoidances, and the total management system implementation. It also introduces a preliminary evaluation of the proposed concept relative to the existing systems.

Internet of Things System Optimization Design of Logistics Based on Improved LEACH Algorithm

2014 ◽  
Vol 687-691 ◽  
pp. 4004-4008
Author(s):  
Xing Hua Lu
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Optimization Design ◽  
Simulation Analysis ◽  
Routing Algorithm ◽  
System Optimization ◽  
Automatic Identification ◽  
Information Transmission Problem ◽  
Logistics System ◽  
Frequency Identification

In the logistics system, the Internet of things information transmission problem is researched. The ZigBee, 3G technologies are fused in the radio frequency identification (RFID), a set of logistics networking platform is designed based on 3G-ZigBee, with the functions such as multipoint automatic identification, real-time positioning, wireless network and RFID. The logistics system is designed, the routing algorithm of logistics system is analyzed, the improved LEACH algorithm is proposed, the NS component is used for the simulation analysis. Through the simulation results, the best balance point between energy consumption and network density is obtained, the parameters of the logistics system are optimized. Finally, software design idea and workflow are presented, the purpose of the remote control is achieved.

scholarly journals To Prevent or Promote Grid Expansion? Analyzing the Future Role of Power Transmission in the European Energy System

2021 ◽  
Vol 8 ◽  
Author(s):  
Karl-Kiên Cao ◽  
Thomas Pregger ◽  
Jannik Haas ◽  
Hendrik Lens
Keyword(s):  
Power Flow ◽  
Flow Model ◽  
Power Transmission ◽  
System Optimization ◽  
Energy System ◽  
Investment Strategy ◽  
Total System ◽  
Power Sources ◽  
Model Based ◽  
Flexibility Options

Future energy supply systems must become more flexible than they are today to accommodate the significant contributions expected from intermittent renewable power sources. Although numerous studies on planning flexibility options have emerged over the last few years, the uncertainties related to model-based studies have left the literature lacking a proper understanding of the investment strategy needed to ensure robust power grid expansion. To address this issue, we focus herein on two important aspects of these uncertainties: the first is the relevance of various social preferences for the use of certain technologies, and the second is how the available approaches affect the flexibility options for power transmission in energy system models. To address these uncertainties, we analyze a host of scenarios. We use an energy system optimization model to plan the transition of Europe’s energy system. In addition to interacting with the heating and transport sectors, the model integrates power flows in three different ways: as a transport model, as a direct current power flow model, and as a linearized alternating current power flow model based on profiles of power transfer distribution factors. The results show that deploying transmission systems contribute significantly to system adequacy. If investments in new power transmission infrastructure are restricted—for example, because of social opposition—additional power generation and storage technologies are an alternative option to reach the necessary level of adequacy at 2% greater system costs. The share of power transmission in total system costs remains widely stable around 1.5%, even if cost assumptions or the approaches for modeling power flows are varied. Thus, the results indicate the importance of promoting investments in infrastructure projects that support pan-European power transmission. However, a wide range of possibilities exists to put this strategy into practice.

Establishing simulation model for optimizing efficiency of CNC machine using reliability-centered maintenance approach

2019 ◽  
Vol 10 (06) ◽  
pp. 1950034 ◽  
Author(s):  
Zahid Hussain ◽  
Hamid Jan
Keyword(s):  
Preventive Maintenance ◽  
Simulation Software ◽  
Time Interval ◽  
Total System ◽  
Cnc Machine ◽  
Effect Analysis ◽  
System Cost ◽  
Reliability Centered Maintenance ◽  
Maintenance Time ◽  
Critical Components

The objective of this work was to enhance the product’s quality by concentrating on the machine’s optimized efficiency. In order to increase the machine’s reliability, the basis of reliability-centered maintenance approach was utilized. The purpose was to establish a planned preventive maintenance strategy to identify the machine’s critical components having a noteworthy effect on the product’s quality. The critical components were prioritized using failure mode and effect analysis (FMEA). The goal of the study was to decrease the ppm time interval for a CNC machine by simulating the projected preventive maintenance time interval. For this purpose, the simulation software ProModel 7.5 was implemented for the current preventive maintenance procedure to choose the best ppm time interval which contributed better norms. Five dissimilar optimization approaches were applied, however, the first approach yielded the prominent total system cost and the shorter ppm interval. The results of the study revealed that there was an increase of USD 1878 as a result of an increase in total system cost from USD 78,365 to USD 80,243. Preventive maintenance costs were reduced from USD 4196 to USD 2248 (46%). The costs associated with good parts increased from USD 8259 to USD 8294 (0.4%) and the costs associated with defective parts reduced from USD 171 to USD 3 (98.25%), respectively.

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