scholarly journals Modeling Relief Demands in an Emergency Supply Chain System under Large-Scale Disasters Based on a Queuing Network

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Xinhua He ◽  
Wenfa Hu
Keyword(s):  
Supply Chain ◽  
Large Scale ◽  
Mathematical Problem ◽  
Distribution Centers ◽  
Supply Chain System ◽  
Time Model ◽  
Chain System ◽  
Emergency Rescue ◽  
Rescue Center ◽  
Emergency Supply

This paper presents a multiple-rescue model for an emergency supply chain system under uncertainties in large-scale affected area of disasters. The proposed methodology takes into consideration that the rescue demands caused by a large-scale disaster are scattered in several locations; the servers are arranged in multiple echelons (resource depots, distribution centers, and rescue center sites) located in different places but are coordinated within one emergency supply chain system; depending on the types of rescue demands, one or more distinct servers dispatch emergency resources in different vehicle routes, and emergency rescue services queue in multiple rescue-demand locations. This emergency system is modeled as a minimal queuing response time model of location and allocation. A solution to this complex mathematical problem is developed based on genetic algorithm. Finally, a case study of an emergency supply chain system operating in Shanghai is discussed. The results demonstrate the robustness and applicability of the proposed model.

Fuzzy Electronic Supply Chain System

2011 ◽  
pp. 187-201
Author(s):  
Hamed Fazlollahtabar ◽  
Hamed Hajmohammadi ◽  
Iraj Mahdavi ◽  
Nezam Mahdavi-Amiri ◽  
Amir Mohajeri
Keyword(s):  
Supply Chain ◽  
Delivery System ◽  
Raw Materials ◽  
Electronic Market ◽  
Distribution Centers ◽  
Supply Chain System ◽  
Web Based ◽  
Chain System ◽  
Supply Chain Management System ◽  
Fuzzy Order

A supply chain is a network of suppliers, factories, warehouses, distribution centers and retailers, through which raw materials are acquired, transformed, produced and delivered to the customer. An effective and efficient way of managing this network is called a supply chain management system. The authors’ purpose here is to design a capable electronic supply chain system in an electronic market. The authors consider a supply chain composed of supplier, plant, and customer. The aim is to optimize a real time web-based fuzzy order-delivery system for which customer satisfaction is emphasized. As such, a comprehensive web-based order-delivery system in an electronic market is proposed and optimized applying fuzzy mathematical programming.

scholarly journals Modeling the Multi-channel Section in the Supply Chain System using the Multiserver Queue Analogy

2021 ◽  
Vol 23 (1) ◽  
pp. 47-54
Author(s):  
Petrus Setya Murdapa
Keyword(s):  
Supply Chain ◽  
Distribution Centers ◽  
Lot Size ◽  
Supply Chain System ◽  
Channel Section ◽  
Chain System ◽  
System A ◽  
Branching Point ◽  
Waiting Line ◽  
Multi Server

The industry generally consists of a supply chain system. The main constituents of any supply chain system are suppliers, manufacturers, distribution centers, and retailers. The system configuration can be straight chain, branched, cyclic, or a combination of all. An analytical model is needed to study system behavior as a result of the dynamics of its constituents. Modeling a multi-channel section becomes quite a challenging job in this regard. A method of modeling the multi-channel section will be discussed in this paper by adopting multi-server queues. As is well known, in a multi-server queue, there is a branching point at which the flow of entities begins to spread across several parallel servers. In the modeling perspective of this paper, the branching point is in the buffer (finished good warehouse in the factory, i.e., the focal echelon). That is the end of the waiting line from which the entity specifically moves to one of the servers, or in this context; it is called a channel. In this paper, the number of channels can be any, generalizable, can be more than two. Hence, the subsystem studied includes a factory, finished product warehouse, and several distribution centers. The factory produces by the mechanism of, where and r are stopping point and production restarting point, respectively. Production stops when the quantity of finished product in the warehouse reaches units and will restart the production when the quantity drops to the same or lower than units. The model is developed under Markovian assumptions by considering the quantities of production rates, the number of distribution centers (channels), travel time from factories to each distribution center, delivery lot size, and the time between the arrival of orders from distribution centers. The system under study is seen as a case of two echelons, namely factories and distribution channels. The numerical model obtained is applied to one case example with certain conditions. Comparisons with discrete simulation results give relatively small and acceptable differences. So, in the future, this model can complement the overall modeling of the supply chain system, a multi-echelon system with multi-channel distribution.

Fuzzy Electronic Supply Chain System

2012 ◽  
pp. 1492-1504
Author(s):  
Hamed Fazlollahtabar ◽  
Hamed Hajmohammadi ◽  
Iraj Mahdavi ◽  
Nezam Mahdavi-Amiri ◽  
Amir Mohajeri
Keyword(s):  
Supply Chain ◽  
Delivery System ◽  
Raw Materials ◽  
Electronic Market ◽  
Distribution Centers ◽  
Supply Chain System ◽  
Web Based ◽  
Chain System ◽  
Supply Chain Management System ◽  
Fuzzy Order

A supply chain is a network of suppliers, factories, warehouses, distribution centers and retailers, through which raw materials are acquired, transformed, produced and delivered to the customer. An effective and efficient way of managing this network is called a supply chain management system. The authors’ purpose here is to design a capable electronic supply chain system in an electronic market. The authors consider a supply chain composed of supplier, plant, and customer. The aim is to optimize a real time web-based fuzzy order-delivery system for which customer satisfaction is emphasized. As such, a comprehensive web-based order-delivery system in an electronic market is proposed and optimized applying fuzzy mathematical programming.

Multi-Agent Based Logistics Coordination System

2012 ◽  
Vol 433-440 ◽  
pp. 3106-3111 ◽  
Author(s):  
Yan Ling Wang
Keyword(s):  
Supply Chain ◽  
Large Scale ◽  
Business Processes ◽  
Raw Materials ◽  
Low Cost ◽  
Distribution Centers ◽  
Supply Chain System ◽  
Supply Chain Logistics ◽  
Coordination System ◽  
Multi Agent

Logistics supply chain system management is the integration of key business processes from end user through original logistics suppliers that provides products, services, and information that add value for customers and other stakeholders. Logistics supply chain is a network of suppliers, factories, warehouses, distribution centers and retailers where the raw materials are acquired, manufactured to products, which then are delivered to consumers. The increase of customer expectations in low cost and high services quality has put a premium on effective logistics supply chain reengineering. Many efforts have been endeavoring to improve the supply chain performance to achieve high agility without increasing costs For improved competitiveness, supply chain logistics system in the industry has become more and more important for modern businesses, especially for the major retailing corporations. Multi-agent system which can effectively process distributed large scale data is developed for the logistics supply chain coordinate system.

scholarly journals Evaluating Pallet Investment Strategy Using Fuzzy Analytic Network Processes: A Case in Chinese Chain Supermarkets

Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3210
Author(s):  
Hung-Lung Lin ◽  
Yu-Yu Ma ◽  
Chin-Tsai Lin
Keyword(s):  
Supply Chain ◽  
Resource Sharing ◽  
Large Scale ◽  
Analytic Network Process ◽  
Investment Strategy ◽  
Automatic Equipment ◽  
Supply Chain System ◽  
Actual Case ◽  
Chain System ◽  
Network Process

Presently in Chinese chain supermarkets, many enterprises have built automatic equipment and information facilities in the logistics center of their supply chain systems. Modern logistics technology and equipment largely depend on the resource integration of each role in the chain (such as suppliers, manufacturers, wholesalers, and retailers), especially logistics facilities and equipment resources, to realize the circulation of products. The pallet, which is an indispensable basic tool for a supply chain system in the process of product circulation, is most often used in the handling, stacking, storage, and transportation of products. The process of building automation and informationization in the supply chain system of Chinese supermarket chains requires the solving of the problems of cost and sharing pallets in logistics operations. Large-scale enterprises often spend millions of dollars on investment, the failure of which can cause significant harm to the enterprise. Therefore, the authors of this paper adopted the fuzzy analytic network process (FANP), combining fuzzy and ANP models to evaluate our studied case. We utilized an actual case as the research object to resolve the important decisions regarding pallet resource sharing investment in the supply chain system. Importantly, it is expected that the proposed method can provide an important reference standard or a new idea for decision makers in the chain supermarket industry or related industries.

scholarly journals SESCF: A Secure and Efficient Supply Chain Framework via Blockchain-Based Smart Contracts

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Menghui Lou ◽  
Xiaolei Dong ◽  
Zhenfu Cao ◽  
Jiachen Shen
Keyword(s):  
Supply Chain ◽  
Radio Frequency Identification ◽  
Large Scale ◽  
Distributed Storage ◽  
Smart Contracts ◽  
Supply Chain System ◽  
Chain System ◽  
Unique Identity ◽  
Frequency Identification

The demands for the fairness, security, and efficiency of the supply chain have grown significantly due to the rise of globalization. However, some problems of the information flow, logistics, and capital flow in the supply chain remain a challenge, such as the information asymmetry between upstream and downstream, substandard quality of goods, difficulty in traceability, and default of payment. Therefore, this paper proposes a blockchain-based supply chain framework (SESCF), which solves the supply chain problems securely and efficiently. First, the use of blockchain and smart contracts ensures the information symmetry in the supply chain system. Second, the radio frequency identification (RFID) provides a unique identity of goods, which helps in real-time quality monitoring. Additionally, the immutability and distributed storage of the blockchain play an important role in tracking the origin of goods. Third, the efficient payment channel is used to solve the problem of payment defaults. Furthermore, simulations of smart contracts along with the security analyses are presented in this paper. We also implement a blockchain-based supply chain system (SescfDapp), which is built upon a Consortium blockchain. Large-scale experiments and detailed analysis prove the feasibility and efficiency of our proposed system.

scholarly journals A Model of Waste Price in a Symbiotic Supply Chain Based on Stackelberg Algorithm

2021 ◽  
Vol 13 (4) ◽  
pp. 1740
Author(s):  
Cheng Che ◽  
Xiaoguang Zhang ◽  
Yi Chen ◽  
Liangyan Zhao ◽  
Zhihong Zhang
Keyword(s):  
Sensitivity Analysis ◽  
Supply Chain ◽  
Comparative Analysis ◽  
Power Structure ◽  
Income Level ◽  
Power Structures ◽  
Optimal Price ◽  
Supply Chain System ◽  
Chain System ◽  
Revenue Model

By establishing a two-level symbiotic supply chain system consisting of one supplier and one manufacturer, we use Stackelberg method to analyze the optimal price and revenue model of supplier and manufacturer in the symbiotic supply chain under two power structures in which the supplier and manufacturer are dominant respectively, and analyze the influence of the degree of symbiosis and power structure on the model. Through comparative analysis, we find that: There is a relationship between the income level and the degree of symbiosis in the symbiotic supply chain. The change of power structure will affect the relative benefits of suppliers and manufacturers in the symbiotic supply chain. The manufacturer’s expected unit product revenue will affect the supply chain revenue when the manufacturer is dominant. Finally, the sensitivity analysis of relevant parameters is carried out through an example analysis, and the validity of the conclusion is verified. This paper has a guiding significance for the behavior of enterprises in the cogeneration supply chain.

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