There are two basic structures in network analysis that are the basis for studying general network structures, series and parallel. For the former the divisions of a system are arranged in sequence, one after another, in that the outputs of one division are the inputs of the next. In general, a division can start its operation only after its preceding divisions have finished their work. For the latter, all divisions of a system appear in parallel, in that every division operates independently at the same time, without affecting each other. The preceding chapter introduced the series structure, and this chapter will discuss the parallel structure.
KeywordsSystem Efficiency Parallel System Undesirable Output Distance Parameter Output Factor
- Amirteimoori A, Kordrostami S (2005) Multi-component efficiency measurement with imprecise data. Appl Math Comput 162:1265–1277Google Scholar
- Amirteimoori A, Nashtaei RA (2006) The role of time in multi-component efficiency analysis: an application. Appl Math Comput 177:11–17Google Scholar
- Bi GB, Feng CP, Ding JJ, Khan MR (2012) Estimating relative efficiency of DMU: Pareto principle and Monte Carlo oriented DEA approach. INFOR 50:44–57Google Scholar
- Jahanshahloo GR, Amirteimoori AR, Kordrostami S (2004a) Multi-component performance, progress and regress measurement and shared inputs and outputs in DEA for panel data: an application in commercial bank branches. Appl Math Comput 151:1–16Google Scholar
- Jahanshahloo GR, Amirteimoori AR, Kordrostami S (2004b) Measuring the multi-component efficiency with shared inputs and outputs in data envelopment analysis. Appl Math Comput 155:283–293Google Scholar
- Yang Y, Ma B, Koike M (2000) Efficiency-measuring DEA model for production system with k independent subsystems. J Oper Res Soc Jpn 43:343–354Google Scholar