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Dive into the research topics where Chris Hicks is active.

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Featured researches published by Chris Hicks.


International Journal of Logistics-research and Applications | 1999

Modelling Supply Chain Management Processes in Engineer-to-Order Companies

Tom McGovern; Chris Hicks; Chris F. Earl

ABSTRACT This paper describes the characteristics, competitive factors and supply chain management issues of an engineer-to-order company engaged in the supply of capital goods. Structured Systems Analysis and Design Methodology is used for modelling the internal processes of organisation, as well as interactions with customers and suppliers. Supply chain management decisions are clearly differentiated between tendering and contract execution. The case study demonstrates a requirement to integrate these supply chain management processes. The management of knowledge throughout the supply chain was identified as critical to achieving competitive advantage.


Health Services Management Research | 2013

Leadership and transformational change in healthcare organisations: A qualitative analysis of the North East Transformation System

Jonathan Erskine; David J. Hunter; Adrian Small; Chris Hicks; Tom McGovern; Ed Lugsden; Paula Whitty; Nick Steen; Martin Eccles

The research project ‘An Evaluation of Transformational Change in NHS North East’ examines the progress and success of National Health Service (NHS) organisations in north east England in implementing and embedding the North East Transformation System (NETS), a region-wide programme to improve healthcare quality and safety, and to reduce waste, using a combination of Vision, Compact, and Lean-based Method. This paper concentrates on findings concerning the role of leadership in enabling tranformational change, based on semi-structured interviews with a mix of senior NHS managers and quality improvement staff in 14 study sites. Most interviewees felt that implementing the NETS requires committed, stable leadership, attention to team-building across disciplines and leadership development at many levels. We conclude that without senior leader commitment to continuous improvement over a long time scale and serious efforts to distribute leadership tasks to all levels, healthcare organisations are less likely to achieve positive changes in managerial-clinical relations, sustainable improvements to organisational culture and, ultimately, the region-wide step change in quality, safety and efficiency that the NETS was designed to deliver.


Public Money & Management | 2009

New development: First steps towards an evaluation of the North East Transformation System

Jonathan Erskine; David J. Hunter; Chris Hicks; Tom McGovern; Eileen Scott; Edward Lugsden; Edward Kunonga; Paula Whitty

The North East Transformation System (NETS) is a programme that aims to engage the elements of NHS North East in a common vision, reshape the clinician/employer compact, and use Lean methodology to redesign work processes. After initial implementation in pathfinder sites, NETS is now to encompass other trusts in the region.


Mathematical Problems in Engineering | 2015

Modifying Regeneration Mutation and Hybridising Clonal Selection for Evolutionary Algorithms Based Timetabling Tool

Thatchai Thepphakorn; Pupong Pongcharoen; Chris Hicks

This paper outlines the development of a new evolutionary algorithms based timetabling (EAT) tool for solving course scheduling problems that include a genetic algorithm (GA) and a memetic algorithm (MA). Reproduction processes may generate infeasible solutions. Previous research has used repair processes that have been applied after a population of chromosomes has been generated. This research developed a new approach which (i) modified the genetic operators to prevent the creation of infeasible solutions before chromosomes were added to the population; (ii) included the clonal selection algorithm (CSA); and the elitist strategy (ES) to improve the quality of the solutions produced. This approach was adopted by both the GA and MA within the EAT. The MA was further modified to include hill climbing local search. The EAT program was tested using 14 benchmark timetabling problems from the literature using a sequential experimental design, which included a fractional factorial screening experiment. Experiments were conducted to (i) test the performance of the proposed modified algorithms; (ii) identify which factors and interactions were statistically significant; (iii) identify appropriate parameters for the GA and MA; and (iv) compare the performance of the various hybrid algorithms. The genetic algorithm with modified genetic operators produced an average improvement of over 50%.


International Journal of Production Economics | 2015

Applying lean principles to the design of healthcare facilities

Chris Hicks; Tom McGovern; Gary Prior; Iain Smith


International Journal of Production Economics | 2014

An ant colony based timetabling tool

Thatchai Thepphakorn; Pupong Pongcharoen; Chris Hicks


International Journal of Production Economics | 2012

Development of a Stochastic Optimisation Tool for Solving the Multiple Container Packing Problems

Peeraya Thapatsuwan; Pupong Pongcharoen; Chris Hicks; Warattapop Chainate


International Journal of Production Economics | 2017

A tool for solving stochastic dynamic facility layout problems with stochastic demand using either a Genetic Algorithm or modified Backtracking Search Algorithm

Srisatja Vitayasak; Pupong Pongcharoen; Chris Hicks


Journal of Health Organisation and Management | 2015

Doing transformational change in the English NHS in the context of "big bang" redisorganisation: Findings from the North East transformation system

David J. Hunter; Jonathan Erskine; Adrian Small; Tom McGovern; Chris Hicks; Paula Whitty; Edward Lugsden


Health Services and Delivery Research | 2014

A mixed-methods evaluation of transformational change in NHS North East

David J. Hunter; Jonathan Erskine; Chris Hicks; Tom McGovern; Adrian Small; Ed Lugsden; Paula Whitty; Ian Nick Steen; Martin Eccles

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David J. Hunter

Royal North Shore Hospital

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Jie Ma

Northumbria University

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