Welcome to the InfoSci Platform
Reference Hub2
Control Model for Intelligent and Demand-Driven Supply Chains

Control Model for Intelligent and Demand-Driven Supply Chains

Jan Strandhagen, Heidi C. Dreyer, Anita Romsdal
Copyright: © 2011 |Pages: 22
ISBN13: 9781616928629|ISBN10: 161692862X|EISBN13: 9781616928643
DOI: 10.4018/978-1-61692-862-9.ch003
Cite Chapter Cite Chapter

MLA

Strandhagen, Jan, et al. "Control Model for Intelligent and Demand-Driven Supply Chains." Managing Global Supply Chain Relationships: Operations, Strategies and Practices, edited by Barbara Flynn, et al., IGI Global, 2011, pp. 49-70. https://doi.org/10.4018/978-1-61692-862-9.ch003

APA

Strandhagen, J., Dreyer, H. C., & Romsdal, A. (2011). Control Model for Intelligent and Demand-Driven Supply Chains. In B. Flynn, M. Morita, & J. Machuca (Eds.), Managing Global Supply Chain Relationships: Operations, Strategies and Practices (pp. 49-70). IGI Global. https://doi.org/10.4018/978-1-61692-862-9.ch003

Chicago

Strandhagen, Jan, Heidi C. Dreyer, and Anita Romsdal. "Control Model for Intelligent and Demand-Driven Supply Chains." In Managing Global Supply Chain Relationships: Operations, Strategies and Practices, edited by Barbara Flynn, Michiya Morita, and Jose Machuca, 49-70. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-862-9.ch003

Export Reference

Mendeley
Favorite

Abstract

Orchestrating supply chains is challenging. This chapter describes how to control a supply chain to make it truly demand-driven – based on the assumption that all relevant information is made available to all partners in real time. The chapter explores the elements of a framework for intelligent and demand-driven supply chain control, with regards to the overall concept and associated principles, and demonstrates these in a case example. Challenges to the realization of the proposed control model include trust and power, supply chain dynamicity and uncertainty, and required investments in competence, standardization, and information and communication technology. Some of these can be met through initial small-scale implementations of the proposed model, to demonstrate effects, and by exploiting facilities for information sharing and collaboration, like supply chain dashboards and control studios. Future research within operations management, technology and information and communications technology (ICT) will support broader realization of the proposed control model.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.