Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Fuzzy cognitive map for the design of EDI controls
Information and Management
Information Sharing in a Supply Chain with Horizontal Competition
Management Science
Effectiveness of vendor-managed inventory in the electronics industry: determinants and outcomes
Information and Management
Supply chain integration in vendor-managed inventory
Decision Support Systems
Analyzing information-enabled stockout management under vendor-managed inventory
Information Technology and Management
Evaluating the supply chain performance of IT-based inter-enterprise collaboration
Information and Management
Fuzzy modeling Enterprise Resource Planning tool selection
Computer Standards & Interfaces
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Mining marketing maps for business alliances
Expert Systems with Applications: An International Journal
Intelligent impact assessment of HRM to the shareholder value
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks
Expert Systems with Applications: An International Journal
The analytic network process for partner selection criteria in strategic alliances
Expert Systems with Applications: An International Journal
Application of fuzzy cognitive maps for cotton yield management in precision farming
Expert Systems with Applications: An International Journal
A structural equation model for analyzing the impact of ERP on SCM
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Evaluating the cross-efficiency of information sharing in supply chains
Expert Systems with Applications: An International Journal
Fuzzy integrated vulnerability assessment model for critical facilities in combating the terrorism
Expert Systems with Applications: An International Journal
Using fuzzy cognitive map for the relationship management in airline service
Expert Systems with Applications: An International Journal
Challenges in business systems integration
Computers in Industry
Expert Systems with Applications: An International Journal
Modeling complex systems using fuzzy cognitive maps
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
RuleML representation and simulation of Fuzzy Cognitive Maps
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
The retail sector environment is characterized by intense pressure of competition, ever-changing portfolio of products, hundreds of different products, ever-changing customer requirements and be able to stand in a mass market. When considering that the giant retailers work together with their suppliers, each independent operation is seen as a comprehensive structure, consisting of thousands of sub-processes. In short, the retail industry dynamism and work in cooperation with the competitiveness of the sector is one of a rare combination. Of course in such a sector businesses of all sizes in many aspects of creating an efficient and low cost structure is in the effort. Collaborative planning, forecasting and replenishment (CPFR) model which is a scheme integrating trading partners' internal and external information systems is proposed to assist establishing a more effective supply chain structure in retail industry. Although CPFR can provide many benefits, there have been many failed implementations. The aim of this study is to determine the factors that will support better implementation of CPFR strategy in retail industry and analyze them using fuzzy cognitive map (FCM) approach. FCMs have proven particularly useful for solving problems in which a number of decision variable and uncontrollable variables are causality interrelated. A CPFR model made up of three sub-systems, namely information sharing, decision synchronization and incentive alignment, is proposed and ''what-if'' scenarios for proposed model are developed and interpreted. To our knowledge, this is the first study that uses FCMs for CPFR success factors assessment.