Journal article
A multicriteria model for supporting setup reduction investment decisions
Production planning & control, v 6(5), pp 413-420
01 Sep 1995
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
One critical manufacturing challenge of the 1990s is for firms to effectively apply new operations management techniques while embracing wider philosophies such as total quality management (TQM) and computer integrated manufacturing (CIM), etc. Setup cost and/or time reduction is one such technique capable of producing many benefits for manufacturing firms, including reduced inventory, better equipment utilization, and improved quality. It is thereby viewed as an important component of just-in-time (JIT) manufacturing practice. Existing problems with the setup reduction decision include the many factors that must be considered, as well of an absence of validated and usable models for estimating potential benefits from setup reduction investment made in different contexts. This paper discusses the attainment of gains from setup reduction mainly by improving existing equipment and work practices rather than purchasing new equipment or technology. The model proposed in this paper is based on the application of the analytic hierarchical process (AHP) on seven weighted factors to obtain a preliminary indication as to whether investment in setup reduction is desirable in a given manufacturing context, and the expected benefits of such investment. A flexible scaling system, thus obtained, allows the model to handle a wide range of managerial predispositions to setup reduction.
Metrics
Details
- Title
- A multicriteria model for supporting setup reduction investment decisions
- Creators
- BAY Arinze - Drexel UniversitySEUNG-LAE Kim - Drexel UniversityAVIJIT Banerjee - Drexel University
- Publication Details
- Production planning & control, v 6(5), pp 413-420
- Publisher
- Taylor & Francis Group
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:A1995RU38000005
- Scopus ID
- 2-s2.0-0029375874
- Other Identifier
- 991019174896704721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Industrial
- Engineering, Manufacturing
- Operations Research & Management Science