Industrial engineering priorities for improved demand chain performance

Towill, Denis Royston and Childerhouse, P. 2011. Industrial engineering priorities for improved demand chain performance. International Journal of Productivity and Performance Management 60 (3) , pp. 202-221. 10.1108/17410401111111961

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Abstract

Purpose – The purpose of this paper is to exploit site-based research evidence from a range of value streams so as to prioritise the industrial engineering (IE) foci necessary to move towards the goal of a seamless demand chain. Design/methodology/approach – A sample of 40 real-world value streams have been audited to produce codified scores assessing the usage of 12 Simplicity Rules leading to streamlined material flow. The rules are partitioned into “local” (Internal) and “holistic” (External) actions. Exploratory statistics are used to explore the different uptake of these two groups. Research limitations/implications – The sample is neither random nor fully representative of all supply chain scenarios. This paper confirms, via site based research, the validity of first actioning the improvements necessary to enable “our process” to deliver efficiently and effectively, in response to internal demands. Practical implications – Expending effort into effective engineering of “our process(es)” as first priority offers a double advantage compared to starting at the systems level. Such a strategy generates both competence and confidence. Once this level is achieved the business is in a good position for upgrading the external interfaces. Originality/value – This paper shows that modern industrial engineering concepts transpose into two groups of Simplicity Rules, which can move a business forward towards the seamless demand chain goal. The rich field data confirm a logical industrial engineering sequence when enhancing demand chain performance.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Subjects:	H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HF Commerce H Social Sciences > HG Finance T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords:	Best practice ; Industrial engineering ; Performance management ; Production processes ; Supply and demand
Publisher:	Emerald
ISSN:	1741-0401
Last Modified:	19 Mar 2016 22:30
URI:	https://orca.cardiff.ac.uk/id/eprint/18932

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