Search results

1 – 1 of 1
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 1 June 2005

Jo Bramham, Bart MacCarthy and Jane Guinery

Manufacturers across many sectors increasingly operate in high variety environments. Research evidence suggests that variety has a negative impact on performance. However, the…

2235

Abstract

Purpose

Manufacturers across many sectors increasingly operate in high variety environments. Research evidence suggests that variety has a negative impact on performance. However, the research literature is limited on the enablers that allow variety to be managed effectively and efficiently at the “front‐end” of an organisation and in quotation processes in particular.

Design/methodology/approach

This paper presents case analysis of the quotation processes from manufacturers operating in high‐variety environments. Qualitative process modelling tools have been developed to allow representation of process complexities and informal process elements.

Findings

Findings are presented on generic mechanisms for absorbing and mitigating the impact of variety on quotation processes. A generic quotation process model is presented comprising four key decisions centres: customization request initiation and information gathering on customer needs, classification of requests, resource control, and identification of information for reuse.

Practical implications

The implications of the study for the automation of quotation processes in high variety and mass customization environments are discussed and it is speculated that different decision centres will dominate in different environments.

Originality/value

The generic model developed by this research offers insight into the functioning of the core process elements of the quotation system. Reviewing an organisation's structure and the information systems infrastructure supporting these decision centres should lead to the identification of potential system or reorganisation improvements.

Details

Journal of Manufacturing Technology Management, vol. 16 no. 4
Type: Research Article
ISSN: 1741-038X

Keywords

1 – 1 of 1
Per page
102050