Robust design of product families for make-to-order systems

Gabriel Hernandez, Timothy W. Simpson, Janet K. Allen, Eduardo Bascaran, Luis F. Avila, Fabian Salinas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations


Although manufacturing plants dedicated to a singleproduct exist, most plants today make multiple products. Thepressure to compete via product variety and customization hasserved to increase the number of different products produced bya typical plant. The manufacturing systems of complex maketo-order families of products usually face problems associatedwith the high variability of processing times, supply deliveriesand market demand. How can product design improve theperformance of the manufacturing system of complex make-toorder products? In this paper we present a method, based onrobust design principles and a multi-objective decision modelembodied in the Robust Concept Exploration Method, tosupport concurrent decisions in the early stages of the design ofmake-to-order families of products. Emphasis is given toadopting standardization, modularity and robustness in productdesign as key principles to improve the performance of this kindof systems. The design of an absorber-evaporator module for afamily of absorption chillers is used as an example to illustrateour approach.

Original languageEnglish (US)
Title of host publication24th Design Automation Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791880326
StatePublished - 1998
EventASME 1998 Design Engineering Technical Conferences, DETC 1998 - Atlanta, United States
Duration: Sep 13 1998Sep 16 1998

Publication series

NameProceedings of the ASME Design Engineering Technical Conference


ConferenceASME 1998 Design Engineering Technical Conferences, DETC 1998
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation


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