Build Structure of Fractal Interorganizational Information Systems and Optimize Supply Chain Structure

2012 ◽  
Vol 468-471 ◽  
pp. 268-276
Author(s):  
Wei Qing Zhuang ◽  
Zhen Yu Liu
Keyword(s):  
Supply Chain ◽  
Information Systems ◽  
Fractal Theory ◽  
Chain Structure ◽  
Interorganizational Information Systems ◽  
Self Similarity ◽  
Fractal Characteristics ◽  
Supply Chain Structure ◽  
Definition Of ◽  
Dla Model

This paper uses fractal theory to analyze interorganizational information systems (IOS). Firstly, IOS’s structure has fractal characteristics of self-similarity, self-optimization and self-organization, consequently, gives the concept and definition of fractal interorganizational information systems (FIOS). Thirdly, builds IOS topological structure fits actual needs based on Diffused-Limited Aggregation (DLA) model to optimize the growth rule of IOS, then, designs six topological structures of FIOS and estimates approximatively their fractal dimension values. Finally, gives fractal interorganizational information systems application to optimize the supply chain network structure to improve operation efficiency.

Supply Chain Management under Mass Customization

2012 ◽  
Vol 616-618 ◽  
pp. 2044-2047 ◽  
Author(s):  
Li Liu
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Mass Customization ◽  
Mass Production ◽  
Chain Structure ◽  
Network Structures ◽  
Chain Management ◽  
Open Network ◽  
Supply Chain Structure ◽  
Definition Of

Traditional supply chain is established on mass production while supply chain under mass customization is established on mass customization. In the paper, Definition of Supply Chain Management is introduced; Comparison between Traditional Supply Chain and Supply Chain under Mass Customization, State of the field are all illustrated. Under mass customization, in order to adapt to customer driving manufacturing and the demands of enterprise alliance, manufacturers and major enterprises will directly contact with customers to weaken or even eliminate the function of distributors and retail dealers, which will lead to the transformation of the supply chain structure to open network structures made up of suppliers, manufacturers, core enterprises and customers.

A Complexity Model for Assembly Supply Chains and Its Application to Configuration Design

2010 ◽  
Vol 132 (2) ◽  
Author(s):  
Hui Wang ◽  
Jeonghan Ko ◽  
Xiaowei Zhu ◽  
S. Jack Hu
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Product Variety ◽  
Chain Structure ◽  
Complexity Measure ◽  
Supply Chain Configuration ◽  
Supply Chain Structure ◽  
Definition Of ◽  
Optimal Assembly ◽  
Chain Configuration

A complexity measure for assembly supply chains has been proposed based on Shannon’s information entropy. This paper extends the definition of such a measure by incorporating the detailed information of the supply chain structure, the number of variants offered by each node in the supply chain, and the mix ratios of the variants at each node. The complexity measure is then applied to finding the optimal assembly supply chain configuration given the number of variants offered at the final assembler and the mix ratios of these variants. The optimal assembly supply chain configuration is theoretically studied in two special scenarios: (1) there is only one dominant variant among all the variants offered by the final assembler, and (2) demand shares are equal across all variants at the final assembler. It is shown that in the first scenario where one variant dominates the demand, the optimal assembly supply chain should be nonmodular; but in the scenario of equal demand shares, a modular supply chain is better than nonmodular one when the product variety is high. Finally a methodology is developed to find the optimal supply chain with/without assembly sequence constraints for general demands.

The relationship between internal supply chain structure and operational performance: survey results from Japanese manufacturers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mikihisa Nakano ◽  
Kazuki Matsuyama
Keyword(s):  
Supply Chain ◽  
Structural Properties ◽  
Operations Management ◽  
Chain Structure ◽  
Operational Performance ◽  
Equation Modeling ◽  
Content Type ◽  
Wide Range ◽  
Supply Chain Structure ◽  
The Relationship

Purpose The purpose of this paper is to discuss the roles of a supply chain management (SCM) department. To achieve that, this study empirically examines the relationship between internal supply chain structure and operational performance, using survey data collected from 108 Japanese manufacturers. Design/methodology/approach Based on a literature review of not only organizational theory but also other fields such as marketing, logistics management, operations management and SCM, this study focused on two structural properties, formalization and centralization and divided operational performance to firm-centric efficiency and customer-centric responsiveness. To examine the analytical model using these dimensions, this study conducted a structural equation modeling. Findings The correlation between centralization of operational tasks and centralization of strategic tasks, the impacts of centralization of both tasks on formalization and the effect of formalization on responsiveness performance were demonstrated. In addition, the reasons for formalization not positively influencing efficiency performance were explored through follow-up interviews. Practical implications Manufacturers need to formalize, as much as possible, a wide range of SCM tasks to realize operational excellence. To establish such formalized working methods, it is effective to centralize the authorities of both operational and strategic tasks in a particular department. In addition, inefficiency due to strict logistics service levels is a problem that all players involved in the supply chain of various industries should work together to solve. Originality/value The theoretical contribution of this study is that the authors established an empirical process that redefined the constructs of formalization and centralization, developed these measures and examined the impacts of these structural properties on operational performance.

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