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.

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.

Designing an Electronic Supply Chain Management System in an Electronic Market Considering Customer Satisfaction and Logistic

2012 ◽  
Vol 3 (3) ◽  
pp. 74-88 ◽  
Author(s):  
Hamed Fazlollahtabar ◽  
Hamed Hajmohammadi ◽  
Amir Mohajeri
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Customer Satisfaction ◽  
Delivery System ◽  
Management System ◽  
Electronic Market ◽  
Distribution Centers ◽  
Web Based ◽  
Chain Management ◽  
Supply Chain Management System

A supply chain is a network of suppliers, factories, warehouses, distribution centers, and retailers, through which raw materials are received, transformed, produced and delivered to the customer. An effective and efficient way of handling this network is called a Supply Chain Management System (SCMS). The purpose of this study is to design an electronic supply chain system to be capable in an electronic market. Here, the authors consider a supply chain composed of supplier, plant, and customer. The aim is to optimize a real time web-based order-delivery system in which customer satisfaction is noted. As such, a comprehensive web-based order-delivery system in an electronic market is proposed and optimized applying mathematical programming.

scholarly journals Analisis Sistem Rantai Pasok Pt. Semen Gresik (Persero) Tbk

2011 ◽  
Vol 10 (1) ◽  
pp. 105 ◽  
Author(s):  
Bahrain Boru Sinaga
Keyword(s):  
Supply Chain ◽  
Production Scheduling ◽  
Planning Process ◽  
Raw Materials ◽  
Cement Industry ◽  
Raw Material ◽  
Fast Time ◽  
Supply Chain System ◽  
Purchase Order ◽  
Chain System

The cement industry is an industry that requires a supply chain system is structured and well organized, it is influenced by several things, namely the level of demand for raw materials (raw material), resources, production processes, scheduling, transportation, supplier, allocation, distributors, retailers, product until they reach the consumer. This paper discusses the supply chain system on PT. Semen Gresik ranging from an overview of the company, Aggregate planning, process and production scheduling and logistics of PT Semen Gresik and supply chain management to pursue the relationship and coordination between the processes of other firms in the business pipelines, ranging from suppliers to give priority to current customers as well goods between the company, since most upstream to most downstream. The  decision  to  determine  the  transportation  used  to  distribute  the  products  is  very important. Selection of transport strategy used to obtain the type of transport that provides a fast time in the distribution is done by comparing the transport strategy transport using trucks and trains. Stages of the bidding process conducted by the company Semen Gresik to the winning vendor specified delivery of bidder list, create request for quotation, quotation maintain vendor, price comparison, process purchase order, payments, and evaluation. Keywords : Supply chain, logistics, strategy, supplier

scholarly journals Design of a small and medium industry cluster in cilegon city with supply chain system approach

2018 ◽  
Vol 218 ◽  
pp. 04021
Author(s):  
Dyah Lintang Trenggonowati ◽  
Asep Ridwan ◽  
Zunika DwiAnggraini
Keyword(s):  
Supply Chain ◽  
System Approach ◽  
Industrial Development ◽  
Positive Impact ◽  
Raw Materials ◽  
Government Support ◽  
Market Demand ◽  
Supply Chain System ◽  
Chain System ◽  
Average Production

Future industrial development strategies, derived from current ideas, that is industrial development through a cluster approach. Cilegon city is a city with many petrochemical industries and other, it should be a potential that can give a positive impact for the welfare of Cilegon city community, the researchers want to design the cluster of the petrochemical derivative of IKM with supply chain system approach. The objective of the research is to design the development of a petrochemical derivative cluster of IKM in Cilegon, to determine the factors that influence the development of SMEs clusters, and to design improvement scenarios in the development of SMEs clusters with dynamic system simulations. Based on the results of SMEs cluster design, the stakeholders in the design are government, big companies, and business actors. Types of products to be produced are plastic packaging, plastic bottles, and plastic bags. The location of the right cluster of IKM development is located in Grogol sub-district. Raw materials used by petrochemical derivatives can be obtained from factories producing polyethylene in Grogol sub-district such as PT Lotte Chemical Titan. Factors that have the significant effect on SMEs cluster development are the factors of government support and local business power factor. The simulation result shows that the second alternative proposal is considered reliable enough to face the fluctuating market demand. From the simulation results obtained the average production of 228,513,6914 psc, the average production stock 821,742.4 and the average sales of 200,000 psc.

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.

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.

International Logistics Risk Management

2012 ◽  
Vol 433-440 ◽  
pp. 3112-3116
Author(s):  
Yan Ling Wang
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Business Processes ◽  
Raw Materials ◽  
Global Markets ◽  
System Management ◽  
Distribution Centers ◽  
End User ◽  
Supply Chain System ◽  
Fierce Competition

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. Fierce competition in global markets and the heightened expectations of consumers have forced business enterprises to invest in and focus attention on, the relationships with their customers and suppliers. Interest in supply chain management has also been growing in the industry both in developed and developing countries. Along with the occurrence of several catastrophic events in supply chains, risk management become more and more important. However, participants in the supply chain are separate and independent economic entities, and only consider their own benefits. The international logistics risk management problems are studied in this paper.

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.

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