Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604694
Title: Patterns of control in the Chinese supply networks in the fast moving consumer goods (FMCG) Industry
Author: Hu, J.
Awarding Body: University of Cambridge
Current Institution: University of Cambridge
Date of Award: 2010
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Abstract:
This study develops a holistic framework for the control system of supply networks (CSSN) from the perspectives of control processes, control mechanisms and variations of the control systems. It structures and integrates existing knowledge on supply chain management, production operations and network governance, updates cybernetics control concepts for the environment of supply networks, and provides guidance for practitioners to design and evaluate the control systems for their supply networks. Recently, the increasingly tight cooperation of companies and supply networks has called for effective ways to manage the network. Traditional management control has focused on organizational control, based on hierarchical and authoritative motivations. However, in network organization, classic control methods fail to deliver desirable results. Theories on networks and supply chains also lack in-depth discussion of an integrated solution package. This research fills the gap of literature and practice by proposing a loop model embedded with control mechanisms which link all the elements in the supply networks. This research also proposes a new classification for supply networks which matches corresponding control systems. The primary findings of this study are that: The basic components of CSSN are the “control procedures”, i.e. planning – feedback – adjustment; The crucial components of CSSN are the “control mechanisms” that support and complement control procedures. They include operational mechanisms (amplifiers, collectors, filters and action selectors) and configurational mechanisms (transformers); and The four types of supply networks, i.e. organic, parental, bureaucratic and mechanistic networks, correspond to their own control systems, which are the variations of the generic CSSN model.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.604694  DOI: Not available
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