Strategic Decision-Making from the Perspective of Fuzzy Two-Echelon Supply Chain Model

2015 ◽  
pp. 637-648
Author(s):  
Junzo Watada ◽  
Xian Chen
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Chain Model ◽  
Supply Chain Model

A Proposed Supply Chain Model for Productivity Enhancement in Medium Scale Foundry Industries

2015 ◽  
Vol 20 ◽  
pp. 248-258 ◽  
Author(s):  
S. Nallusamy ◽  
A.M. Muhammad Umarmukdhar ◽  
R. Suganthini Rekha
Keyword(s):  
Supply Chain ◽  
Cast Iron ◽  
Strategic Decision ◽  
Chain Model ◽  
Medium Scale ◽  
Proposed Model ◽  
Supply Chain Model ◽  
Iron Foundry ◽  
Work Done ◽  
The Relationship

In global competitive atmosphere, foundry industries are needed to perform efficiently with minimum percentage of rejections there by reducing cost of manufacturing. Foundries are using state of art processes with the involvement of experienced and knowledgeable people but the experience and knowledge needs to be transformed for the growth of the industries. Some foundries are working in a trial and error mode and get their work done. Many foundries have very less control on the rejections since they are in critical need of meeting production targets and they ignore the rejections and recover the castings. They need to have an efficient quality control aspiring for defects free castings with minimum production cost. Strategic decision makers need extensive models to guide them for efficient decision making that increases their profitability of the entire chain. The noval idea of this research is to investigate the various defects of cast iron foundry and suggest remedies for the defects in a day to day activity and propose a supply chain model to present the necessity of quality in a medium scale industry of cast iron foundry under different delay conditions, rejection rates and also various other factors. The results of the proposed model have been discussed and confirmed based on the original results of an industry. This research is also inspects the relationship between supply chain processes and quality as a key role in supply chain management.

Decision-Making Coordination within Three-Echelon Supply Chains

2011 ◽  
pp. 93-107
Author(s):  
Jairo R. Montoya-Torres
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Process Simulation ◽  
Simulation Models ◽  
Chain Model ◽  
Total System ◽  
Direct Relation ◽  
Supply Chain Model ◽  
Brownian Process ◽  
The Impact

Supply chain performance is highly influenced by the coordination level between its members, which needs information sharing. In this paper we consider a three-echelon direct sell supply chain model and focus on the problem of coordinated decision-making between its members. Our contribution is a first approach that measures the impact of the degree of coordination between the members. Demand behavior is modeled using a geometric Brownian process. Simulation models are run in order to analyze various cooperation scenarios. Our results show a direct relation between the degree of coordination within the supply chain and the total system cost. Although this result is intuitive, our simulations allowed us to quantify such a relation and in which measure these costs are whether or not associated to imperfect coordination.

Multi-Echelon Supply Chain Modeling With Dynamic Continuous Review Inventory Policy

2012 ◽  
pp. 1505-1521
Author(s):  
K. Narayana Rao ◽  
K. Venkata Subbaiah
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Goal Programming ◽  
Chain Model ◽  
Continuous Review ◽  
Fuzzy Environment ◽  
Supply Chain Model ◽  
Fuzzy Goal ◽  
Supply Chain Modeling ◽  
Continuous Review Policy

In this chapter, an integrated procurement, production and distribution supply chain model is developed in fuzzy environment and performance vector of the supply chain is determined by solving strategic model and tactical model iteratively. Mixed integer programming model is formulated through fuzzy goal programming approach in strategic level. In the tactical level, dynamic continuous review inventory policy for controlling of raw material inventory at supplier echelon, finished products at plant echelon and distribution center echelons is assumed. The inventory models are solved by considering the interdependency of economic order quantity and reorder point. The supply chain model, which is developed in fuzzy environment, finds compromise solution with multiple, vague and in-compatible objectives. Fuzzy goal programming techniques provide feasible solutions with flexible model formulation in decision-making problems, which involve human judgments in decision-making. Need for supply chin modeling with dynamic continuous review policy in fuzzy environment and the existing literature are outlined in Introduction. Fuzzy supply chain modeling with dynamic continuous review policy for controlling of the raw materials, finished products at plant and distribution center echelons is described in Fuzzy supply chain modeling section. Flow chart of the methodology is explained in Solution Methodology section. The proposed model is illustrated through a numerical example. Supply chain cost, Volume flexibility and unit costs are determined and presented in Results and Discussion section. Importance of the methodology and future scope is made in Conclusion section. This model finds application in the industries involving continuous production like oil and natural gas, steel manufacturing industries etc

Multi-Echelon Supply Chain Modeling With Dynamic Continuous Review Inventory Policy

2011 ◽  
pp. 146-167
Author(s):  
K. Narayana Rao ◽  
K. Venkata Subbaiah
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Goal Programming ◽  
Chain Model ◽  
Continuous Review ◽  
Fuzzy Environment ◽  
Supply Chain Model ◽  
Fuzzy Goal ◽  
Supply Chain Modeling ◽  
Continuous Review Policy

In this chapter, an integrated procurement, production and distribution supply chain model is developed in fuzzy environment and performance vector of the supply chain is determined by solving strategic model and tactical model iteratively. Mixed integer programming model is formulated through fuzzy goal programming approach in strategic level. In the tactical level, dynamic continuous review inventory policy for controlling of raw material inventory at supplier echelon, finished products at plant echelon and distribution center echelons is assumed. The inventory models are solved by considering the interdependency of economic order quantity and reorder point. The supply chain model, which is developed in fuzzy environment, finds compromise solution with multiple, vague and in-compatible objectives. Fuzzy goal programming techniques provide feasible solutions with flexible model formulation in decision-making problems, which involve human judgments in decision-making. Need for supply chin modeling with dynamic continuous review policy in fuzzy environment and the existing literature are outlined in Introduction. Fuzzy supply chain modeling with dynamic continuous review policy for controlling of the raw materials, finished products at plant and distribution center echelons is described in Fuzzy supply chain modeling section. Flow chart of the methodology is explained in Solution Methodology section. The proposed model is illustrated through a numerical example. Supply chain cost, Volume flexibility and unit costs are determined and presented in Results and Discussion section. Importance of the methodology and future scope is made in Conclusion section. This model finds application in the industries involving continuous production like oil and natural gas, steel manufacturing industries etc

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