scholarly journals How Much Can We Spare with E-business: Examining the Effects in Supply Chain Management

10.28945/2756 ◽  
2004 ◽  
Author(s):  
Liljana Ferbar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Chain Management ◽  
System Parameters ◽  
Business Applications ◽  
Ordering Policy ◽  
Total Inventory ◽  
Level Model ◽  
Optimal Ordering Policy ◽  
Optimal Ordering

In this paper we concentrate on one aspect of e-business applications, namely on its effects in supply chain management. We derive a mathematical model that shows how different changes in ordering costs as a result of using e-business can affect the optimal ordering intervals and quantity, average stock level and consequently total inventory-related costs. We study the sensitivity of the objective function of the average cost approach to finite magnitude perturbations of some of the system parameters which influence the optimal ordering policy. We deal with the detailed coordination case of two-level model and determine the conditions in which the model is sensitive to the variation of system parameters.

Costs and Benefits in Supply Chain Collaboration

2005 ◽  
pp. 258-284
Author(s):  
Tim S. McLaren ◽  
Milena M. Head ◽  
Yufei Yuan
Keyword(s):  
Supply Chain ◽  
Information Systems ◽  
Supply Chain Management ◽  
Web Services ◽  
Business Processes ◽  
Supply Chain Collaboration ◽  
Costs And Benefits ◽  
Chain Management ◽  
Complex Information ◽  
Business Applications

Recent advances in supply chain management information systems (SCM IS) have enabled firms to more fully collaborate with their supply chain partners — driving out costs while increasing responsiveness to market demands. This chapter examines various types of SCM IS — from traditional EDI systems to more recent Web-services-based e-business applications. It argues that the approach best suited for an organization depends in part on the degree of integration between the partners, the complexity of the business processes, and the number of partners involved. A model is presented for analyzing the costs and benefits that can be expected from each type of SCM IS. The model enables researchers and practitioners to better understand the differences among SCM IS and thus can help reduce the risks of implementing these valuable yet complex information systems.

scholarly journals INTELLIGENT AGENTS AND RISK BASED MODEL FOR SUPPLY CHAIN MANAGEMENT

2012 ◽  
Vol 18 (3) ◽  
pp. 452-469 ◽  
Author(s):  
Ion Smeureanu ◽  
Gheorghe Ruxanda ◽  
Andreea Diosteanu ◽  
Camelia Delcea ◽  
Liviu Adrian Cotfas
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Intelligent Agents ◽  
Bankruptcy Risk ◽  
Chain Management ◽  
Agent Based ◽  
Business Applications ◽  
Agent Interaction ◽  
Semantic Web Service Composition ◽  
Risk Potential

This paper presents a software agent based framework's architecture for boosting performance in supply chain management applications. The framework is based on agent interaction and semantic web service composition. The purpose of such a platform is to develop flexible business applications for SCM transactions modeling, in collaborative and distributed economic systems. The interaction between agents is limited by a cybernetic model that takes into account several constraints one of the main being bankruptcy risk potential of the peer partner company.

Empirical Study on Ordering Policy for Multi-Products in Fresh Food Supply Chains

2011 ◽  
Vol 204-210 ◽  
pp. 46-53
Author(s):  
Yin Huang ◽  
Xia Miao Li ◽  
Da Peng Liu
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Food Supply Chain ◽  
Food Supply Chains ◽  
Multiple Products ◽  
Ordering Policy ◽  
Fresh Food ◽  
Complex Process ◽  
Optimal Ordering Policy ◽  
Optimal Ordering

Food supply chain is a complex process. The author develops a model that will provide both researchers and practitioners with a means of determining the optimal ordering policy for multi-products in fresh food supply chain. By using computer simulation. this paper conduct for a numerical analysis to the ordering policy of products of a food company in Hubei province to analyze the properties of total cost functions under each of the six different ordering policies and proposes an approximate optimal ordering policy of multiple products. Based on the models and analysis, it is found that agglomeration effect plays an important role in determine ordering policy of multiple products.

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