Abstract

The notion of extended X-factor contribution has been proposed and evaluated recently as a tool to identify system capacity constraints based on machine group utilization and raw processing time. This provides a great convenience for factory-floor managers examining system capacity issues by using only local- or machine-level information. The purpose of this study is twofold: to study fundamental properties of the extended X-factor contribution measure augmented with availability, and to use this new measure to investigate resource allocation for optimizing mean cycle time. The availability-adjusted X-factor was first introduced in the context of local cycle time and its relation to allocation of personnel in individual machine groups. The availability-adjusted X-factor contribution measure developed and evaluated in the current study differs from the previous measure by its ability to identify capacity-constraining machines in the entire system. The measure presented herein is a more accurate indicator of capacity constraints than the extended X-factor contribution measures. With an objective to minimize cycle time or maximize throughput by properly allocating available resources, the results presented herein clearly demonstrate the effectiveness of this new measure to identify capacity-constraining machines. This study also uses availability as a decision variable for mean cycle time optimization.

Original languageEnglish (US)
Pages (from-to)3933-3953
Number of pages21
JournalInternational Journal of Production Research
Volume43
Issue number18
DOIs
StatePublished - Sep 15 2005

Fingerprint

Availability
Resource allocation
Industrial plants
Managers
Throughput
Personnel
Factors
Processing
Cycle time
Capacity constraints

Keywords

  • Availability
  • Capacity constraints
  • Cycle time performance
  • X-factor theory

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research

Cite this

Availability-adjusted X-factor. / Delp, D.; Si, Jennie; Hwang, Y.; Pei, Ker-Wei; Fowler, John.

In: International Journal of Production Research, Vol. 43, No. 18, 15.09.2005, p. 3933-3953.

Research output: Contribution to journalArticle

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