Although the traditional methods can evaluate the resilience and reliability of small-scale and static supply chains from the perspective of topological structure, evaluating the effectiveness of MSCNs involves many supply units and has more limitations on resources and other influencing factors, which makes it difficult for the traditional methods to handle it [13,21].
The Structure Model of MSCNs. A MSCN can be shown as a directed graph composed of nodes, edges, and attributes, G = G(V, E, R, [psi]).
Simulation Algorithms for MSCNs. As shown in Figure 3, a simulation algorithm for MSCN can be divided into five steps.
Usually, transmission of supplies is an important element for MSCNs. Hence, it is vital to consider the efficiency of transmissions.
Although we take MSCNs as an example to analyze the effectiveness evaluation of dynamic and discrete networks, the method is also relevant to other discrete networks.
Since traditional research on the effectiveness evaluation of military supply chain normally includes only a few entities , when it comes to strategic-level paradigms with hundreds of entities in an MSCN, these methods are no longer satisfactory.
Approximately 75% of all MSCNs are members of the International Organization of Multiple Sclerosis Nurses (IOMSN).
respondents) or an addressed return envelope (nonstamped) with a $5.00 calling card (for non-U.S, respondents) in lieu of return postage were mailed to all MSCNs. Respondents were asked to omit names and any identifying information on the questionnaires and return envelope.
Limitations of the study include a response rate below 50% of MSCNs. The response rate in the current study was similar (41%) to a mailed survey conducted in Great Britain (Nolan et al., 1995) and higher than the 38% response rate reported among home health nurses in the United States (Ellenbecker & Byleckie, 2005).
Further development of colleague relationships among MSCNs is warranted.
To date, no studies have evaluated MSCN job satisfaction and factors that influence it.