scholarly journals The Study of the Optimal Parameter Settings in a Hospital Supply Chain System in Taiwan

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Hung-Chang Liao ◽  
Meng-Hao Chen ◽  
Ya-huei Wang
Keyword(s):  
Supply Chain ◽  
Optimal Parameter ◽  
Decision Makers ◽  
Inventory Level ◽  
Total System ◽  
Supply Chain System ◽  
Safety Level ◽  
Chain System ◽  
Transportation Capacity ◽  
Full Factor Experimental Design

This study proposed the optimal parameter settings for the hospital supply chain system (HSCS) when either the total system cost (TSC) or patient safety level (PSL) (or both simultaneously) was considered as the measure of the HSCS’s performance. Four parameters were considered in the HSCS: safety stock, maximum inventory level, transportation capacity, and the reliability of the HSCS. A full-factor experimental design was used to simulate an HSCS for the purpose of collecting data. The response surface method (RSM) was used to construct the regression model, and a genetic algorithm (GA) was applied to obtain the optimal parameter settings for the HSCS. The results show that the best method of obtaining the optimal parameter settings for the HSCS is the simultaneous consideration of both the TSC and the PSL to measure performance. Also, the results of sensitivity analysis based on the optimal parameter settings were used to derive adjustable strategies for the decision-makers.

scholarly journals An Algebraic Decision Support Model for Inventory Coordination in the Generalized n-Stage Non-Serial Supply Chain with Fixed and Linear Backorders Costs

Symmetry ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 1998
Author(s):  
Mohamed Seliaman ◽  
Leopoldo Cárdenas-Barrón ◽  
Sayeed Rushd
Keyword(s):  
Supply Chain ◽  
Coordination Mechanism ◽  
Total System ◽  
Decision Support Model ◽  
Supply Chain System ◽  
Numerical Examples ◽  
Chain System ◽  
Operational Information ◽  
N Stage ◽  
Inventory Decisions

This paper extends and generalizes former inventory models that apply algebraic methods to derive optimal supply chain inventory decisions. In particular this paper considers the problem of coordinating production-inventory decisions in an integrated n-stage supply chain system with linear and fixed backorder costs. This supply chain system assumes information symmetry which implies that all partners share their operational information. First, a mathematical model for the supply chain system total cost is formulated under the integer multipliers coordination mechanism. Then, a recursive algebraic algorithm to derive the optimal inventory replenishment decisions is developed. The applicability of the proposed algorithm is demonstrated using two different numerical examples. Results from the numerical examples indicate that adopting the integer multiplier mechanism will reduce the overall total system cost as compared to using the common cycle time mechanism.

scholarly journals Research on Dynamic Analysis and Mitigation Strategies of Supply Chains under Different Disruption Risks

2021 ◽  
Vol 13 (5) ◽  
pp. 2462
Author(s):  
Qing Zhang ◽  
Weiguo Fan ◽  
Jianchang Lu ◽  
Siqian Wu ◽  
Xuechao Wang
Keyword(s):  
Supply Chain ◽  
Mitigation Strategies ◽  
Inventory Level ◽  
Supply Chain System ◽  
Chain System ◽  
Operational Capabilities ◽  
Node Location ◽  
Disruption Risks ◽  
Level Order ◽  
Specific Impact

Due to the globalization of supply and production, supply chain management has tightened the connection between upstream and downstream enterprises. Although this modern strategy has significantly improved the efficiency of enterprises, the increasingly complex relationship between nodes also makes the supply chain system more vulnerable and unstable. As a result, the interruption of any node location in the supply chain will spread to other nodes via their diffusion, which could cause irreparable damage to the entire supply chain. Therefore, under this realistic background, only by quantitatively analyzing the specific impact on the supply chain of interruption events in different locations we can formulate active and effective mitigation strategies to achieve the effective recovery of node enterprises from interruption accidents. In this study, the system dynamics method was used to simulate the changes in inventory level, order accumulation, and profit level caused by disruption of supply, production, and sales of different node companies. The results show that the closer the node enterprise to the interruption source, the greater the risk of loss. Due to the conduction effect of the supply chain system, the risk spreads to other node enterprises. Based on the above results, corresponding mitigation strategies for enterprises to cope with different node interruptions are proposed to improve the overall efficiency and operational capabilities of the enterprise.

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.

A flexible and adaptable planning and control system for an MTO supply chain system

2006 ◽  
Vol 22 (5-6) ◽  
pp. 557-565 ◽  
Author(s):  
Mustafa Özbayrak ◽  
Theopisti C. Papadopoulou ◽  
Efstratios Samaras
Keyword(s):  
Supply Chain ◽  
Control System ◽  
Supply Chain System ◽  
Chain System ◽  
Planning And Control ◽  
And Control

An operational policy for a three-stage distributive supply chain system with retailers’ backorders

2014 ◽  
Vol 156 ◽  
pp. 332-345 ◽  
Author(s):  
Bhaba R. Sarker ◽  
Ratkrit Rochanaluk ◽  
Huizhi Yi ◽  
Pius J. Egbelu
Keyword(s):  
Supply Chain ◽  
Supply Chain System ◽  
Chain System

scholarly journals A Core Model for Parts Suppliers Selecting Method in Manufacturing Supply Chain

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Guorong Chen ◽  
Jiangyuan Zhao ◽  
Juli Deng
Keyword(s):  
Supply Chain ◽  
Complex Network ◽  
Manufacturing Systems ◽  
Fixed Number ◽  
Core Model ◽  
Supply Chain System ◽  
Chain System ◽  
Manufacturing Supply Chain ◽  
Service Oriented ◽  
Parts Suppliers

Service-oriented manufacturing is the new development of manufacturing systems, and manufacturing supply chain service is also an important part of the service-oriented manufacturing systems; hence, the optimal selection of parts suppliers becomes one of key problems in the supply chain system. Complex network theories made a rapid progress in recent years, but the classical models such as BA model and WS model can not resolve the widespread problems of manufacturing supply chain, such as the repeated attachment of edge and fixed number of vertices, but edges increased with preferential connectivity, and flexible edges’ probability. A core model is proposed to resolve the problem in the paper: it maps the parts supply relationship as a repeatable core; a vertex’s probability distribution function integrating the edge’s rate and vertex’s degree is put forward; some simulations, such as the growth of core, the degree distribution characteristics, and the impacting of parameter, are carried out in our experiments, and the case study is set also. The paper proposed a novel model to analyze the manufacturing supply chain system from the insights of complex network.

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