scholarly journals MATERIAL TRANSSHIPMENT FOR PRECAST FABRICATION

2013 ◽  
Vol 19 (3) ◽  
pp. 335-347 ◽  
Author(s):  
Chien-Ho Ko
Keyword(s):  
Supply Chain ◽  
Production Management ◽  
Lead Times ◽  
Construction Sites ◽  
Material Management ◽  
Supply Chain System ◽  
Operational Conditions ◽  
Material Supply ◽  
Lateral Transshipment ◽  
Shortage Costs

Materials required for precast fabrication are dissimilar to those cast at construction sites. Fabricators who lack materials must wait until specific suppliers deliver the required materials. The objective of this study is to reduce total material management costs in the supply chain system through the most advantageous transshipment strategies. A material supply chain framework that enables fabricators to implement lateral transshipment is first proposed. Transshipment strategies are then formulated into a mathematical model. The most advantageous transshipment strategies are analyzed using computer simulation. Diverse order lead times, demands, transportation costs, and shortage costs are simulated to approximate operational conditions encountered in supply chain systems. Through various experiments, the most advantageous strategy for precast fabrication industry can be found. In addition, four rules are developed based on simulation results to enhance transshipment decision making. This research is one of the pioneering studies applying lateral transshipment to precast production management.

A RFID-Based Monitoring System for Abnormal Logistics Events in Internal Material Supply Chain

2011 ◽  
Vol 179-180 ◽  
pp. 949-954 ◽  
Author(s):  
Xiao Hua Cao ◽  
Juan Wan
Keyword(s):  
Supply Chain ◽  
Monitoring System ◽  
Radio Frequency Identification ◽  
Accurate Information ◽  
Prototype System ◽  
Rfid Technology ◽  
Material Management ◽  
Production Logistics ◽  
Material Supply ◽  
Frequency Identification

Internal material supply management for manufacturing workshops usually suffers from message delay and abnormal logistics events, which seriously holdback the reactivity capability of production system. As a rapid, real-time, accurate information collection tools, Radio Frequency identification (RFID) technology has become an important driver in the production and logistics activities. This paper presents a new idea that uses RFID technology to monitor real-timely the abnormal logistics events which occur at each work space in the internal material supply chain and proposes its construction method in details. With the experimental verification of prototype system, the proposed RFID-based monitoring system can find in time the abnormal logistics events of internal material supply chain and largely improve the circulation velocity of production logistics, and reduce the rate of mistake which frequently occurred in traditional material management based on Kanban.

scholarly journals Fuzzy Control Model and Simulation for Nonlinear Supply Chain System with Lead Times

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Songtao Zhang ◽  
Yanting Hou ◽  
Siqi Zhang ◽  
Min Zhang
Keyword(s):  
Supply Chain ◽  
Fuzzy Control ◽  
Control Strategy ◽  
Control Model ◽  
Lead Times ◽  
Supply Chain System ◽  
Chain System ◽  
Model And Simulation ◽  
Definition Of ◽  
System Variables

A new fuzzy robust control strategy for the nonlinear supply chain system in the presence of lead times is proposed. Based on Takagi-Sugeno fuzzy control system, the fuzzy control model of the nonlinear supply chain system with lead times is constructed. Additionally, we design a fuzzy robust H∞ control strategy taking the definition of maximal overlapped-rules group into consideration to restrain the impacts such as those caused by lead times, switching actions among submodels, and customers’ stochastic demands. This control strategy can not only guarantee that the nonlinear supply chain system is robustly asymptotically stable but also realize soft switching among subsystems of the nonlinear supply chain to make the less fluctuation of the system variables by introducing the membership function of fuzzy system. The comparisons between the proposed fuzzy robust H∞ control strategy and the robust H∞ control strategy are finally illustrated through numerical simulations on a two-stage nonlinear supply chain with lead times.

Information Technology Implementation Prioritization in Supply Chain

2012 ◽  
pp. 12-24
Author(s):  
Sreekumar ◽  
Debendra Kumar Mahalik ◽  
Gokulananda Patel
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Technology Implementation ◽  
Production Management ◽  
Material Management ◽  
Purchase Management ◽  
Clear Cut ◽  
It Implementation ◽  
Customer Interface ◽  
Order Preference

The increasing rate of technology growth has resulted in decrease in cost of information. These technologies are helpful in coordinating the activities resulting in effective management of the supply chain. Literature shows that the use of Information Technology (IT) plays an important role in managing the processes of SCM. This has resulted in increasing use of IT in SCM. The computerization of SCM processes, if implemented in one go may result in failure. IT implementation prioritization in supply chain is a major issue before the planner as there is no clear cut formula to solve this problem. This paper considers components of SCM like material management, purchase management, production management, logistics and distribution and customer interface for IT implementation prioritization. Two multi-criteria decision making methods (MCDM) viz. analytical hierarchy process (AHP) and a technique for order preference by similarity to ideal solution (TOPSIS) are used in this paper. The novelty of the paper lies in integration of AHP and TOPSIS methods for IT implementation prioritization. The weights of the criterions and the alternatives are calculated using AHP method which is used as an input for TOPSIS analysis for prioritization of IT implementation.

scholarly journals Study of the Bullwhip Effect in a Multistage Supply Chain with Callback Structure considering Two Retailers

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Junhai Ma ◽  
Liqing Zhu ◽  
Ye Yuan ◽  
Shunqi Hou
Keyword(s):  
Supply Chain ◽  
Moving Average ◽  
Bullwhip Effect ◽  
Lead Times ◽  
Chain Model ◽  
Supply Chain System ◽  
Forecasting Method ◽  
Supply Chain Model ◽  
The Impact ◽  
Demand Processes

With the purpose of researching the bullwhip effect when there is a callback center in the supply chain system, this paper establishes a new supply chain model with callback structure, which has a material supplier, a manufacture, and two retailers. The manufacture and retailers all employ AR(1) demand processes and use order-up-to inventory policy when they make order decisions. Moving average forecasting method is used to measure the bullwhip effect of each retailer and manufacture. We investigate the impact of lead-times of retailers and manufacture, forecasting precision, callback index, and marketing share on the bullwhip effect of both retailers and manufacture. Then we use the method of numerical simulation to indicate the different parameters in this supply chain. Furthermore, this paper puts forward some suggestions to help the enterprises to control the bullwhip effect in the supply chain with callback structure.

scholarly journals Dynamic Complexities in a Supply Chain System with Lateral Transshipments

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Yongchang Wei ◽  
Fangyu Chen ◽  
Feng Xiong
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
State Space Model ◽  
Bullwhip Effect ◽  
Performance Measurements ◽  
Supply Chain System ◽  
Chain System ◽  
Customer Service Level ◽  
Lateral Transshipment ◽  
The Stability

The horizontal interaction between retailers, coupled with replenishment rules and time delays, makes the dynamics in supply chain systems highly complicated. This paper aims to explore the impacts of lateral transshipments on the stability, bullwhip effect, and other performance measurements in the context of a two-tiered supply chain system composed of one supplier and two retailers. In particular, we developed a unified discrete-time state space model to address two different scenarios of placing orders. Analytical stability results are derived, through which we found that inappropriate lateral transshipment policies readily destabilize the supply chain system. Moreover, the lead time of lateral transshipments further complicates the stability problem. Theoretical results are validated through simulation experiments and the influences of system parameters on performance measures are investigated numerically. Numerical simulations show that lateral transshipments help improve the customer service level for both retailers. It is also interesting to observe that the demand of the two retailers can be satisfied even if only one retailer places orders from the upstream supplier.

MODELING (r, Q) POLICY IN A TWO-LEVEL SUPPLY CHAIN SYSTEM WITH FUZZY DEMAND

2010 ◽  
Vol 18 (06) ◽  
pp. 819-841 ◽  
Author(s):  
MOHAMMADALI PIRAYESH ◽  
MOHAMMAD MODARRES YAZDI
Keyword(s):  
Supply Chain ◽  
Optimal Solution ◽  
Control Policy ◽  
Supply Chain System ◽  
Total Cost ◽  
Chain System ◽  
Inventory Control Policy ◽  
Triangular Membership Function ◽  
Unsatisfied Demand ◽  
Shortage Costs

In this paper a two level supply chain system is studied, in which the final demand is assumed to be fuzzy with triangular membership function. The inventory control policy of (r, Q) is followed for this system and unsatisfied demand is assumed to be back ordered. The objective is to minimize the total cost of the system, including ordering, holding and shortage costs. The model happens to be a nonlinear programming. Considering the complexity arising from the model, we also develop a genetic algorithm to obtain a near-optimal solution. The method is illustrated through some numerical examples.

scholarly journals Multi-Item Distribution Policies with Supply Hub and Lateral Transshipment

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Zhong Jin-Hong ◽  
Jiang Rui-Xuan ◽  
Zheng Gui
Keyword(s):  
Supply Chain ◽  
Solution Method ◽  
Independent Random Variables ◽  
Customer Requirements ◽  
Parent Population ◽  
Distribution Models ◽  
Supply Chain System ◽  
Lateral Transshipment ◽  
Policy Supply ◽  
Coordination Policy

Supply Hub is defined as the horizontal coordination among the suppliers while lateral transshipment is a horizontal coordination policy among the retailers. By considering the Supply Hub and lateral transshipment simultaneously, ones can reduce the total cost of the supply chain system and improve the response to customer requirement and the customers’ satisfaction. We investigate the distribution policies for the supply chain which consists of multisuppliers, single Supply Hub, and multidistributors. In the system, both Supply Hub and distributors adopt the (t,S) policy, Supply Hub will not be out of stock, and backlogging is forbidden. Customer requirements at distributors are assumed to be independent random variables complying with uniform distribution; transshipment is assumed to be bidirectional, instantaneous, and emergent. We establish the distribution models, respectively, for the cases of transshipment or no transshipment. For the case with transshipment, we design a GA-based solution method involving a two-stage selection technology, that is, firstly, selecting individuals from parent population to generate offspring chromosomes and, secondly, selecting individuals from the interim population comprising all of the parent and offspring genomes, to form the next-generation population. We show that lateral transshipment can increase the overall profit of the supply chain by the comparison examinations between the models with and without transshipment.

scholarly journals Peningkatan Kualitas Supply Chain Material Melalui Teknologi Material Traceability System di PT. Pertamina Gas Eastern Java Area Operation

2017 ◽  
Vol 6 (1) ◽  
pp. 11-29
Author(s):  
Dela Agung Septriardy
Keyword(s):  
Supply Chain ◽  
Material Handling ◽  
Data Entry ◽  
Supply Chain Collaboration ◽  
Material Management ◽  
Traceability System ◽  
Material Supply ◽  
The World ◽  
Problems And Solutions ◽  
Material Information

Material Management has always been a major challenge in the world of industry, especially the world of gas transportation. Poor on material planning, limitationon material supply the length of lead time delivery of materials is often a major constraint on the operational productivity. The obligation to maintain the reliability of the instrument to ensure smooth gas supply to consumers remains to be one of the challenges in maintaining productivity. These efforts will not be successful if the company is not able to increase the flexibility of the material supply chain. Not Providing Information Regarding Details Material stock, remoteness Distance Between warehouse and Station, Not Providing Information Details on stock Material, remoteness Distance Between warehouse and Station, and manual data collection worsen the problem tha couldt cause the error on calculating material stock, moreover the problem become more complicated by the lack of collaboration of material information that should be known by the user as the material user on  field and  planners as a warehouse supervisor. One solution to the problem is to develop the Material Traceabillity Strategy- A technology that can replace manual data entry process that still use paper as a recording media, allows personnel to track and manage the material in real time, Improve Information Sharing among divisions. This paper will discuss the problems and solutions that are applied in order to improve the reliability of materials that can improve supply chain collaboration in the handling of the material. This paper emphasizes the importance of the revolution in material handling in oil & gas transportation company that has been applied and proved successful in PT. Pertamina Gas Eastern Java Operation Area.

Risk Fuzzy Measurement and Early-Warning of the Project in Material Supply Chain

2012 ◽  
Vol 226-228 ◽  
pp. 1844-1847
Author(s):  
Xing Fang Fu ◽  
Ji Jun Li ◽  
Le Xi Li
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Risk Analysis ◽  
Early Warning ◽  
Supply Chain System ◽  
System Effect ◽  
Chain System ◽  
Network Competition ◽  
Material Supply ◽  
System Risk

In the environment of network competition, it is a basic condition of stabilized operation to measure effectively the risk with early warning of the project of material supply chain system. From the angle of system, this paper analyzes the set of risk factors of the project of material supply chain, and provides a fuzzy method for the supply chain whole risk of measures. Making use of this method, we can acquire the valid early warning of the system risk of project of material supply chain, so as to solve the disadvantage of deviating between the risk analysis of system and node of the project of material supply chain, all which has profit to the risk managements of system effect of the project of material supply chain and the choice of cooperation contract company.

Improving the Efficiency of Manufacturing Supply Chain Using System Dynamic Simulation

2014 ◽  
Vol 69 (2) ◽  
Author(s):  
Narjes Sadeghiamirshahidi ◽  
Jafar Afshar ◽  
Ali Reza Firouzi ◽  
Syed Ahmad Helmi Syed Hassan
Keyword(s):  
Supply Chain ◽  
Simulation Model ◽  
Dynamic Simulation ◽  
System Dynamic ◽  
Customer Demand ◽  
Supply Chain System ◽  
Operational Conditions ◽  
Supply Chain Networks ◽  
Manufacturing Supply Chain ◽  
System Dynamic Simulation

Supply chain is a network of different business units which focuses on integration among all units in order to produce and distribute end products to the customer. Nowadays, due to increased uncertainty in customer demand, it is necessary to be sure that the supply chain networks operate as efficient as possible in order to satisfy the customer demand at the lowest cost. Enhancing the efficiency of the supply chain necessitates the interaction between different members of the supply chain which can be achieved through supply chain management. Hence, the development of modeling approach in order to understand and analyze the dynamic behavior of supply chains is brought into consideration. This paper proposes a system dynamic simulation model for manufacturing supply chain. System dynamic is used as suitable method to understand and analyze the interactions of various components via feedback structure. The objective of this paper is to simulate the manufacturing supply chain of an electronic manufacturing company in Malaysia. The simulation model is used to study the system’s behavior (in terms of production rate, inventory levels, and backlog orders) under two different operational conditions (named as fixed and varied capacity policies) and compare their efficiency in terms of total cost. The analysis shows that the proposed operational condition, which is varied capacity policy, improves the system efficiency in terms of cost.

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